Analysis of prescription pattern and adverse drug reactions of drugs used in Urinary Tract Infection in reproductive age group (15-44 years) women in a Tertiary Care Hospital in Central India: An observational retrospective study

Gayatri Patil; Sushil Varma

doi:10.12688/f1000research.149264.4

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Revised

Analysis of prescription pattern and adverse drug reactions of drugs used in Urinary Tract Infection in reproductive age group (15-44 years) women in a Tertiary Care Hospital in Central India: An observational retrospective study

[version 4; peer review: 1 approved, 2 not approved]

Gayatri Patil ¹, Sushil Varma¹

PUBLISHED 01 Sep 2025

Author details Author details

¹ Pharmacology, Datta Meghe Institute of Higher Education and Research, Wardha, Maharashtra, 442001, India

Gayatri Patil
Roles: Writing – Original Draft Preparation, Writing – Review & Editing

Sushil Varma
Roles: Validation, Visualization, Writing – Original Draft Preparation

OPEN PEER REVIEW

REVIEWER STATUS

Abstract

Background

Urinary tract infection (UTI) is a frequent bacterial infection among women of reproductive age. Inappropriate and irrational prescribing of antibiotics—such as the use of unapproved fixed-dose combinations or empirical broad-spectrum therapy—has contributed to growing antimicrobial resistance. Adverse drug reactions (ADRs) further complicate treatment outcomes, yet remain underreported, especially in routine outpatient practice. Therefore, an assessment of current prescribing patterns and ADRs is essential to promote rational drug use.

Objectives

•
To describe the prescribing patterns of drugs used for urinary tract infections (UTIs) among women of reproductive age (15–44 years).
•
To evaluate the incidence, type, and severity of adverse drug reactions (ADRs) associated with these prescriptions, as documented in hospital records.
•
To assess the prescription of fixed-dose combinations (FDCs) and combination antimicrobial therapy in relation to standard treatment guidelines (WHO, NLEM 2022).

Methods

This is a retrospective observational study based on outpatient department (OPD) prescriptions for women aged 15–44 years diagnosed with community-acquired, uncomplicated UTIs at a tertiary care hospital in Central India. Data from 139 prescription records will be retrieved from the medical record section and analyzed. Prescribing indicators, documented ADRs, and use of FDCs will be assessed against national guidelines using descriptive statistics, chi-square tests, and logistic regression analysis.

Keywords

Pattern, Prescription, urinary tract infection, adverse drug reaction, reproductive.

Corresponding author: Gayatri Patil

Competing interests: No competing interests were disclosed.

Grant information: The author(s) declared that no grants were involved in supporting this work.

Copyright: © 2025 Patil G and Varma S. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite: Patil G and Varma S. Analysis of prescription pattern and adverse drug reactions of drugs used in Urinary Tract Infection in reproductive age group (15-44 years) women in a Tertiary Care Hospital in Central India: An observational retrospective study [version 4; peer review: 1 approved, 2 not approved]. F1000Research 2025, 13:417 (https://doi.org/10.12688/f1000research.149264.4) First published: 29 Apr 2024, 13:417 (https://doi.org/10.12688/f1000research.149264.1) Latest published: 01 Sep 2025, 13:417 (https://doi.org/10.12688/f1000research.149264.4)

Revised Amendments from Version 3

In this version, the study objectives were refined for clarity, particularly in relation to adverse drug reactions (ADRs) and fixed-dose combinations (FDCs). The Methods section was revised to specify a fully retrospective design, remove mention of telephonic follow-up, and define the population as women with community-acquired, uncomplicated UTIs. While the sample size remains at 139, limitations of subgroup analysis have been noted. The statistical analysis section was expanded to describe descriptive methods, chi-square testing, regression, handling of missing data, and use of SPSS v27. Ethical aspects were strengthened with Institutional Ethics Committee approval details, a waiver of consent, and permission from the Chief Medical Superintendent. Table 1 was updated with operational definitions. Although no new sentences were added to the Introduction or Discussion, consistency with Central India resistance data was confirmed and addressed in the response. These changes enhance clarity, methodological transparency, and critical synthesis, while maintaining the study’s original focus.

See the authors' detailed response to the review by Niels Frimodt-Møller
See the authors' detailed response to the review by Vineetha Menon
See the authors' detailed response to the review by Abayeneh Girma

Introduction

Urinary tract infection (UTI) is the most prevalent bacterial infection among women of reproductive age (15–44 years) because of their anatomical and physiological properties like shorter urethra, sexual activity, contraceptive use, and delayed micturition.¹^,²

UTIs are symptomatically differentiated into uncomplicated or complicated, and primary or recurrent, the most common uropathogen being Escherichia coli followed by Klebsiella, Staphylococcus, Streptococcus, and Pseudomonas species.³

A Karnataka, India, study conducted by Mahadevamma and Sarala (2011) revealed ciprofloxacin (23.8%), norfloxacin (14.3%), and ceftriaxone (13.3%) to be frequently prescribed in patients with UTI.⁴ Likewise, Chiang et al. (2019) indicated that fluoroquinolones (36.4%), nitrofurantoin (31.8%), and trimethoprim-sulfamethoxazole (26.3%) were the most frequently prescribed drugs for UTIs among women in a US-based review of 44.9 million prescriptions.⁵

Antibiotic resistance increases, especially to fluoroquinolones and third-generation cephalosporins, in Indian environments,⁶^,⁷ leading to a change to nitrofurantoin and sulfonamides as first-line therapy.

Although ADRs are an important concern in antimicrobial treatment, they remain underreported in retrospective hospital records, particularly in resource-poor environments. Nitrofurantoin is known to cause gastrointestinal disturbance, pulmonary toxicity, and liver damage.⁸ Sulfonamides are responsible for hypersensitivity reactions, hepatotoxicity, Stevens–Johnson syndrome, and hematologic toxicity.⁹

In spite of the availability of guidelines like the National List of Essential Medicines (NLEM 2022) and WHO procedures, irrational prescribing continues in the form of long-term use of broad-spectrum antibiotics and irrational fixed-dose combinations (FDCs).¹⁰

There is an obvious lack of Indian data on prescribing patterns and ADRs in reproductive-age women specifically.

Protocol

Nowadays, it is necessary to evaluate prescriptions due to the rapid changes in the prescriptions of diseases.

To analyze the irrational and inappropriate use of drugs this study is necessary.

For the improvement of patient compliance and to find out what type of adverse reactions are seen in reproductive age group female (15-44yrs) UTI patients due to prescribed drugs.

Aim

To analyze the prescription pattern and adverse drug reactions of drugs used in urinary tract infections of reproductive age group (15-44).

Objectives

• To describe the prescribing patterns of drugs used for urinary tract infections (UTIs) among women of reproductive age (15–44 years).
• To evaluate the incidence, type, and severity of adverse drug reactions (ADRs) associated with these prescriptions, as documented in hospital records.
• To assess the prescription of fixed-dose combinations (FDCs) relevant to UTI management (e.g., Co-trimoxazole, Amoxicillin–Clavulanate) and their adherence to standard treatment guidelines (WHO, NLEM 2022).

Methods

Statistical analysis

Data will be entered and analyzed using SPSS version 27.0. Descriptive statistics will be used to summarize baseline characteristics such as age, drug type, and comorbidities (mean ± SD or frequencies as appropriate).

Chi-square test will be used to examine associations between drug class and adverse drug reactions.

If the sample permits, binary logistic regression analysis will be performed to identify predictors of ADRs (e.g., age, pregnancy status, polypharmacy, comorbidity).

Missing data will be excluded from inferential analysis, and the extent of missingness will be reported.

A p-value < 0.05 will be considered statistically significant.

Population and case definition

The study included prescription records of female patients aged 15–44 years diagnosed with community-acquired, uncomplicated UTI by a physician.

Diagnosis was based on documented clinical symptoms (e.g., dysuria, frequency, urgency, suprapubic pain) with or without supporting urine culture reports.

Inclusion criteria

Outpatient records of women aged 15–44 years with a diagnosis of community-acquired uncomplicated UTI.

Exclusion criteria

• Inpatient, ICU, or hospital-acquired UTI cases.
• Complicated UTI cases (e.g., with renal involvement, pregnancy, catheterization).
• Incomplete case records.

Study setting

This is a retrospective observational study conducted at a rural tertiary care hospital in Central India. Data were collected exclusively from outpatient records. No telephonic follow-up or direct patient contact was performed.

Sample size estimation

Calculated using a 10% ADR prevalence assumption → 139 records.

Subgroup analyses may be underpowered; however, the study is adequately powered for primary objectives.

Since the primary outcome of interest includes the analysis of adverse drug reactions (ADRs), the sample size is estimated based on the expected prevalence of ADRs in UTI drug prescriptions.

Using the Daniel formula:

n = Z^{2} \times P (1 - P) / d^{2} n = Z^{2} \times P (1 - P) / d^{2} n = Z^{2} \times P (1 - P) / d^{2}

Where:

• Z = 1.96 for 95% confidence
• P = 0.10 (assumed 10% prevalence of ADRs based on prior studies e.g., Fatima et al., 2015)
• d = 0.05d = 0.05 (desired precision = 5%)

$n = {(1.96)}^{2} \times 0.10 \times (1 - 0.10) / {(0.05)}^{2} = 138.3 \approx 139 patients$

Final sample size: 139 prescription records

Study design

This is a retrospective observational study using OPD records of women with UTI in the reproductive age group.

No patient contact or follow-up will be conducted.

No data will be taken from inpatients, ICU, or hospital-acquired infections.

Statistical methods

Data will be analyzed using SPSS version 27.0.

• Descriptive statistics: Means ± SD for continuous variables, frequencies (%) for categorical variables.
• Chi-square test: To assess association between drug class and ADR occurrence.
• Logistic regression: To evaluate predictors of ADRs (e.g., age, comorbidity, drug class).
• Records with missing variables will be excluded from respective analyses. A p value <0.05 will be considered statistically significant.

Software used

All statistical analyses will be performed using SPSS Version 27.0 (IBM Inc., USA).

Data collection and procedure

We will collect recorded files of patients of reproductive age group female (15-44yrs) UTI patients from the medical record section. And Analyze prescriptions and adverse drug reactions of patients. Table 1 details the parameters included in the study. Prescriptions were reviewed for demographics, diagnosis, prescribed drugs, comorbidities, FDCs, and ADRs (if documented).

Table 1. Parameters and operational definitions used in data collection.

Parameter	Operational definition
Age/Sex	Age in completed years; sex as recorded (female only included)
MRD No. /OPD No.	Unique identifiers from the hospital medical records
Diagnosis	Diagnosis of UTI recorded by treating physician, with or without supportive lab tests
Drugs Used	All antimicrobial and supportive drugs prescribed
Dose & Duration	As per prescription record (in mg/day and number of days)
Irrational Prescription	Any prescription deviating from WHO prescribing indicators or National List of Essential Medicines (NLEM) guidelines
Combination Therapy	Use of two or more antimicrobials prescribed for the same UTI episode
Fixed Drug Combinations	Pharmaceutical formulations with ≥2 active ingredients, e.g., Co-trimoxazole, Amoxicillin-Clavulanate; non-standard combinations (e.g., Nitrofurantoin + B6) excluded
Adverse Drug Reactions (ADR)	Any noxious, unintended medical occurrence temporally associated with drug use, as documented in records, classified using WHO-UMC criteria
Comorbidities	Presence of chronic condition (e.g., diabetes, hypertension) in the patient record
Pregnancy Status	As per documented clinical status during treatment
Recurrent UTI	≥2 episodes within 6 months or ≥3 episodes within 12 months
Duration of Illness	Duration between onset of symptoms and resolution as noted in case file

Dissemination

The results of this study may contribute to future systematic reviews or meta-analyses focused on prescribing patterns and adverse drug reactions in urinary tract infections.

Study status

The study is yet to be started.

Discussion

Today irrational and in appropriate use of drugs is a serious issue. Irrational drug use can lead to adverse effects such as drug resistance and drug side effects.¹¹^,¹² Nitrofurantoin, Trimethoprim-Sulfamethoxazole, and Fluoroquinolones are the drugs most frequently used to treat UTI.¹³ In this study we will examine the prescriptions of the drugs that will be prescribed for UTI.

This research will close that gap by assessing actual prescribing practice and pharmacovigilance in outpatient UTI care. This research is anticipated to underscore irrational prescribing and under-reporting of ADRs in the care of UTIs, which lead to antibiotic resistance and suboptimal patient outcomes.⁶^,⁷

The earlier research has reported poor compliance with guidelines and excessive use of combination therapy in Indian practice.⁴^,¹⁰ Lack of systematic monitoring of ADR can further hamper rational use of drugs, particularly among rural patients who have limited diagnostic facility access.⁸^,⁹

By analyzing prescription audit and ADR patterns, this paper will help support local antimicrobial stewardship and inform future policy.

For the improvement of patient compliance, it is very important to analyze prescription patterns and adverse drug reactions (ADRs). The benefits of our research will be patient care improvement and risk assessment and lesser events of adverse drug events associated with the prescribed drugs. Also, we will be analyzing the rationality of prescribing FDC and combination therapy. As well as their overall impact on the outcome of treatment.

This analysis is for the use of evidence-based medicine in tertiary care centers, to fulfill the drug information needs of the physician and also for improvement in the quality of healthcare by giving feedback to prescribers. This is an observational, retrospective study that will aim at the analysis of drug prescription patterns and adverse drug reactions due to drug prescription in urinary tract infections at tertiary health care centers.

Ethical considerations

The study was approved by the Institutional Ethics Committee of Datta Meghe Institute of Higher Education and Research (Deemed to be University) (Reference No: DMIHER (DU)/IEC/2024/159).

As this was a retrospective record-based study, informed consent was waived. Institutional permission was obtained from the Chief Medical Superintendent (CMS) and the Medical Records Section to access anonymized.

Data availability

No data are associated with this article at this stage. Data will be made available upon completion of the study, subject to institutional approval and journal policy.

Acknowledgements

AVBRH HOSPITAL, HMIS.

References

1. Medina M, Castillo-Pino E:An introduction to the epidemiology and burden of urinary tract infections. Ther Adv Urol. 2019; 11: 1756287219832172. PubMed Abstract | Publisher Full Text | Free Full Text
2. Foxman B:Epidemiology of urinary tract infections: incidence, morbidity, and economic costs. Am J Med. 2002; 113(Suppl 1A): S5–S13. Publisher Full Text
3. Flores-Mireles AL, Walker JN, Caparon M, et al.:Urinary tract infections: epidemiology, mechanisms of infection and treatment options. Nat Rev Microbiol. 2015; 13(5): 269–284. PubMed Abstract | Publisher Full Text | Free Full Text
4. Mahadevamma L, Sarala N:Study of prescribing patterns of antimicrobial agents in urinary tract infection. Int J Pharm Bio Sci. 2011; 1(3): 1–5.
5. Chiang G, Wang H, et al.:Trends in antibiotic prescribing for urinary tract infections in women, 2000–2016. JAMA. 2019; 322(9): 890–891. Publisher Full Text
6. Kothari A, Sagar V:Antibiotic resistance in pathogens causing community-acquired urinary tract infections in India: a multicenter study. J Infect Dev Ctries. 2008; 2(5): 354–358. PubMed Abstract | Publisher Full Text
7. Taneja N, Rao P, Arora J, et al.:Occurrence of ESBL and AmpC β-lactamases and susceptibility to newer antimicrobial agents in complicated UTI. Indian J Med Res. 2008; 127(1): 85–88. PubMed Abstract
8. Huttner A, Kowalczyk A, Turjeman A, et al.:Safety of nitrofurantoin in renal impairment: a systematic review. Clin Microbiol Infect. 2015; 21(12): 1219–1228. Publisher Full Text
9. Roujeau JC, Kelly JP, Naldi L, et al.:Medication use and the risk of Stevens–Johnson syndrome or toxic epidermal necrolysis. N Engl J Med. 1995; 333(24): 1600–1608. Publisher Full Text
10. Government of India. National List of Essential Medicines (NLEM) 2022. Ministry of Health and Family Welfare. https://main.mohfw.gov.in/basicpage/national-list-essential-medicines-nlem-india
11. Melku L, Wubetu M, Dessie B:Irrational drug use and its associated factors at Debre Markos Referral Hospital’s outpatient pharmacy in East Gojjam, Northwest Ethiopia. SAGE Open Med.2021; 9: 205031212110251. Publisher Full Text
12. Ojo MA, Igwilo CI, Emedoh T:Prescribing patterns and perceptions of health care professionals about rational drug use in a specialist hospital clinic. J Public Health Afr. 2014; 5(2): 358. Publisher Full Text
13. Nicolle LE:Uncomplicated urinary tract infection in adults including uncomplicated pyelonephritis. Urol Clin North Am. 2008; 35(1): 1–12. Publisher Full Text

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Version 4

VERSION 4 PUBLISHED 29 Apr 2024

Author details Author details

¹ Pharmacology, Datta Meghe Institute of Higher Education and Research, Wardha, Maharashtra, 442001, India

Gayatri Patil
Roles: Writing – Original Draft Preparation, Writing – Review & Editing

Sushil Varma
Roles: Validation, Visualization, Writing – Original Draft Preparation

Competing interests

No competing interests were disclosed.

Grant information

The author(s) declared that no grants were involved in supporting this work.

Article Versions (4)

version 4

Revised

Published: 01 Sep 2025, 13:417

https://doi.org/10.12688/f1000research.149264.4

version 3

Revised

Published: 05 Aug 2025, 13:417

https://doi.org/10.12688/f1000research.149264.3

version 2

Revised

Published: 11 Feb 2025, 13:417

https://doi.org/10.12688/f1000research.149264.2

version 1

Published: 29 Apr 2024, 13:417

https://doi.org/10.12688/f1000research.149264.1

© 2025 Patil G and Varma S. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Patil G and Varma S. Analysis of prescription pattern and adverse drug reactions of drugs used in Urinary Tract Infection in reproductive age group (15-44 years) women in a Tertiary Care Hospital in Central India: An observational retrospective study [version 4; peer review: 1 approved, 2 not approved]. F1000Research 2025, 13:417 (https://doi.org/10.12688/f1000research.149264.4)

NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article.

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Open Peer Review

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Key to Reviewer Statuses VIEW HIDE

ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested

Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.

Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions

Version 3

VERSION 3

PUBLISHED 05 Aug 2025

Revised

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Reviewer Report 26 Aug 2025

Abayeneh Girma, Mekdela Amba University, Tulu Awlya, South Wollo Zone, Ethiopia

Not Approved

https://doi.org/10.5256/f1000research.185974.r402772

General comments
The manuscript addresses an important topic—prescription patterns and adverse drug reactions (ADRs) in urinary tract infections (UTIs) among reproductive-age women in Central India. However, despite revisions, significant methodological and conceptual flaws persist, compromising the study's scientific rigor, reproducibility, and potential impact. The study design, sample size justification, and clarity of objectives remain inadequate, as highlighted by previous reviewers. Below are the specific concerns that warrant rejection.

1. Study design and methodology:
(i) Retrospective vs. prospective contradictions: The authors claim a retrospective design but propose telephonic follow-ups for ADR data, introducing a prospective element. This hybrid approach lacks justification and risks bias (e.g., recall bias, non-response bias).
(ii) Data source clarity: The manuscript does not clearly specify whether UTIs are community-acquired or hospital-acquired, nor does it define diagnostic criteria (e.g., symptoms, culture results). This omission limits the interpretability of prescription patterns.
(iii) ADR collection: Relying on hospital records for ADRs is problematic due to underreporting. The plan to contact patients by phone is not standardized or ethically clarified (e.g., consent process).

2. Sample size and statistical power: The revised sample size calculation (n=139) is based on an assumed 10% prevalence of ADRs, which is an improvement. However, the justification remains weak, and the sample size may still be insufficient for robust conclusions, especially for secondary outcomes like combination therapy analysis. Again, the study lacks power calculations for subgroup analyses (e.g., by drug class, age, or comorbidity), which are critical for meaningful inferences.

3. Objectives and scope: The primary objectives are overly broad. For example, "analyzing adverse reactions" lacks specificity (e.g., which ADRs, severity grading). Additionally, the secondary objective to analyze fixed-dose combinations (FDCs) is commendable but poorly operationalized. Examples like "Nitrofurantoin + Vitamin B6" are questionable, as Vitamin B6 is not a standard UTI treatment.

4. Ethical and practical issues: While ethical approval is mentioned, the waiver for patient consent in retrospective data collection is noted. However, telephonic follow-ups for ADRs would require explicit ethical approval and consent, which is not discussed. In addition, the study setting (rural tertiary care hospital) is described, but the representativeness of the sample for broader populations (e.g., urban or primary care settings) is unclear.

5. Peer review responses: The authors’ responses to reviewers (e.g., sample size recalculation, ADR methodology) are superficial. Key critiques (e.g., hospital vs. community UTI distinction, statistical methods) remain unaddressed. Moreover, the introduction and discussion sections lack critical synthesis of prior literature (e.g., regional antibiotic resistance trends in Central India).

6. Statistical analysis: The description of statistical methods is insufficient. For example: No details on covariates, regression models, or handling missing data. Again, the plan to use chi-square tests and logistic regression is mentioned but not elaborated (e.g., how predictors like age or comorbidity will be incorporated).

7. Clarity and reproducibility: Table 1 (Data Collection) lists parameters but lacks operational definitions (e.g., "irrational prescription" criteria). In addition, the study's retrospective nature limits its ability to capture ADRs accurately, as these are often underreported in hospital records.

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Microbiology

I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above.

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Reviewer Report 13 Aug 2025

Niels Frimodt-Møller, Copenhagen University Hospital, Copenhagen, Denmark

Approved

https://doi.org/10.5256/f1000research.185974.r402774

The authors have responded adequately ... Continue reading

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Version 2

VERSION 2

PUBLISHED 11 Feb 2025

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Reviewer Report 28 Jul 2025

Abayeneh Girma, Mekdela Amba University, Tulu Awlya, South Wollo Zone, Ethiopia

Not Approved

https://doi.org/10.5256/f1000research.176032.r399331

General comments
The manuscript addresses an important topic—prescription patterns and adverse drug reactions (ADRs) in urinary tract infections (UTIs) among reproductive-age women. However, significant methodological and conceptual flaws persist despite revisions, as highlighted by previous reviewers. The study’s ... Continue reading

General comments
The manuscript addresses an important topic—prescription patterns and adverse drug reactions (ADRs) in urinary tract infections (UTIs) among reproductive-age women. However, significant methodological and conceptual flaws persist despite revisions, as highlighted by previous reviewers. The study’s design, sample size justification, and clarity of objectives remain inadequate, compromising its scientific rigor and reproducibility.
Major comments

Sample size and statistical power: The sample size calculation (n=47) is based on UTI prevalence (3.14%) rather than ADR prevalence (typically 5–15%), as correctly noted by Reviewer 1. This undermines the study’s ability to detect meaningful ADR patterns. A sample size of 47 is insufficient for robust conclusions, especially for secondary outcomes like combination therapy analysis.
Study design and methodology (i) Retrospective vs. prospective contradictions: The authors claim a retrospective design but propose telephonic follow-ups for ADR data, which introduces prospective elements. This hybrid approach lacks justification and risks bias (e.g., recall bias, non-response bias). (ii) Data source clarity: The manuscript does not specify whether UTIs are community-acquired or hospital-acquired, nor does it define diagnostic criteria (e.g., symptoms, culture results). This omission limits the interpretability of prescription patterns. (iii) ADR collection: Relying on hospital records for ADRs is problematic, as ADRs are often underreported in retrospective data. The plan to contact patients by phone is not standardized or ethically clarified (e.g., consent process).
Objectives and scope: The primary objectives are clear but overly broad. For example, "analyzing adverse reactions" lacks specificity (e.g., which ADRs, severity grading). Again, the secondary objective to analyze fixed-dose combinations (FDCs) is commendable but poorly operationalized. Examples like "Nitrofurantoin + Vitamin B6" are questionable, as Vitamin B6 is not a standard UTI treatment.
Peer review responses: The authors’ responses to reviewers (e.g., sample size recalculation, ADR methodology) are superficial. Key critiques (e.g., hospital vs. community UTI distinction, statistical methods) remain unaddressed.
Ethical and practical issues: While ethical approval is mentioned, the waiver for patient consent in retrospective data collection is noted. However, telephonic follow-ups for ADRs would require explicit ethical approval and consent, which is not discussed.

Minor comments

Introduction/Discussion: Redundant and lacks critical synthesis of prior literature (e.g., no mention of regional antibiotic resistance trends in Central India).
Table 1 (Data Collection): Parameters are listed but lack operational definitions (e.g., "irrational prescription" criteria).
Statistical analysis: Mention of "Student’s t-test and Chi-square" is insufficient. No details on covariates, regression models, or handling missing data.

Is the rationale for, and objectives of, the study clearly described?

No
Is the study design appropriate for the research question?

No
Are sufficient details of the methods provided to allow replication by others?

No
Are the datasets clearly presented in a useable and accessible format?

No

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Microbiology

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Author Response 09 Aug 2025

DR. GAYATRI PATIL , Pharmacology, Datta Meghe Institute of Higher Education and Research, Wardha, 442001, India

09 Aug 2025

Author Response

Response to Reviewer: Dr. Niels Frimodt-Møller
COMMENT 1:
“The calculation of sample size is not correct; With a prevalence of around 3% (and what does that mean?) of UTIs in ... Continue reading Response to Reviewer: Dr. Niels Frimodt-Møller
COMMENT 1:
“The calculation of sample size is not correct; With a prevalence of around 3% (and what does that mean?) of UTIs in India they propose, that 47 patients will suffice? The prevalence of adverse effects is probably 10-15%; the investigators will need at least 10 times as many patients to achieve a reasonable result.”
AUTHOR RESPONSE:
We thank the reviewer for this important observation. We agree that calculating sample size based on UTI prevalence was not appropriate for our primary objective, which includes the analysis of adverse drug reactions (ADRs).
In response, we have recalculated the sample size using Daniel’s formula, based on an assumed ADR prevalence of 10%, with 95% confidence level and a 5% margin of error.
Formula used:
n = Z² × P × (1 − P) / d²
Z = 1.96, P = 0.10, d = 0.05
n = (1.96)² × 0.10 × (0.90) / (0.05)² ≈ 138.3
We have therefore revised the sample size to 139 patients and updated this in the Sample Size Estimation section. This revised sample size is now aligned with our primary outcome — the analysis of adverse drug reactions. We used an assumed ADR prevalence of 10%, as reported in similar studies (e.g., Fatima et al., J Drug Deliv Ther, 2015). This reference has been cited in the updated manuscript to support our methodology.

COMMENT 2:
The method to study adverse effects is to look in the charts (response to reviewer 1), while they also want to call by phone the patients in question (response to reviewer 2); in the last case it is not a retrospective study. Which charts are we talking about? If hospital charts, then the patients belong to a special group of patients admitted to hospital probably with complicated UTI, where adverse effects are different from community dwellers with uncomplicated UTI.
AUTHOR RESPONSE:
Thank you for pointing out this inconsistency. We have now removed the telephonic follow-up plan and clarified that the study will be conducted as a purely retrospective observational study. Only medical records from the hospital’s archived data will be used.
The protocol has been updated to reflect this in the Study Design, Data Collection, and Ethical Considerations sections. We will rely solely on documented ADRs recorded in the patient files.
This revision ensures methodological consistency with retrospective design principles and aligns with the ethical waiver granted by our Institutional Ethics Committee.

We have now specified that our data will be collected only from outpatient department (OPD) records of women diagnosed and treated for UTI. This ensures that our focus is on community-acquired, uncomplicated UTIs.
This clarification is now included in the Study Setting, Inclusion Criteria, and Data Collection sections. No inpatient or ICU cases will be included, and complicated UTI cases will be excluded.

COMMENT 3:
The introduction has not been revised as proposed by reviewer 1, and neither the discussion as also recommended.
AUTHOR RESPONSE:
We thank the reviewer for this feedback. We have now extensively revised both the Introduction and Discussion sections.
The Introduction now includes recent literature on UTI treatment patterns, local prescribing practices, and rationale for ADR monitoring in reproductive-age women.
The Discussion has been expanded to address implications of irrational prescribing, potential underreporting of ADRs, and the regional significance of our findings. We have also added a paragraph on study limitations to improve transparency.
All changes are clearly marked in the revised manuscript.

COMMENT 4:
The different treatments of UTI described in the protocol are mostly for uncomplicated UTI, which does not comply with the idea, that hospital charts are being scrutinized.
AUTHOR RESPONSE:
As noted above, we have now explicitly stated that the study will include only outpatient records, and our focus is on community-acquired uncomplicated UTIs.
Accordingly, the treatment guidelines referenced in the manuscript pertain to uncomplicated UTI management, and this is now clearly stated in the revised Treatment and Study Design sections.
Response to Reviewer: Dr. Niels Frimodt-Møller
COMMENT 1:
“The calculation of sample size is not correct; With a prevalence of around 3% (and what does that mean?) of UTIs in India they propose, that 47 patients will suffice? The prevalence of adverse effects is probably 10-15%; the investigators will need at least 10 times as many patients to achieve a reasonable result.”
AUTHOR RESPONSE:
We thank the reviewer for this important observation. We agree that calculating sample size based on UTI prevalence was not appropriate for our primary objective, which includes the analysis of adverse drug reactions (ADRs).
In response, we have recalculated the sample size using Daniel’s formula, based on an assumed ADR prevalence of 10%, with 95% confidence level and a 5% margin of error.
Formula used:
n = Z² × P × (1 − P) / d²
Z = 1.96, P = 0.10, d = 0.05
n = (1.96)² × 0.10 × (0.90) / (0.05)² ≈ 138.3
We have therefore revised the sample size to 139 patients and updated this in the Sample Size Estimation section. This revised sample size is now aligned with our primary outcome — the analysis of adverse drug reactions. We used an assumed ADR prevalence of 10%, as reported in similar studies (e.g., Fatima et al., J Drug Deliv Ther, 2015). This reference has been cited in the updated manuscript to support our methodology.

COMMENT 2:
The method to study adverse effects is to look in the charts (response to reviewer 1), while they also want to call by phone the patients in question (response to reviewer 2); in the last case it is not a retrospective study. Which charts are we talking about? If hospital charts, then the patients belong to a special group of patients admitted to hospital probably with complicated UTI, where adverse effects are different from community dwellers with uncomplicated UTI.
AUTHOR RESPONSE:
Thank you for pointing out this inconsistency. We have now removed the telephonic follow-up plan and clarified that the study will be conducted as a purely retrospective observational study. Only medical records from the hospital’s archived data will be used.
The protocol has been updated to reflect this in the Study Design, Data Collection, and Ethical Considerations sections. We will rely solely on documented ADRs recorded in the patient files.
This revision ensures methodological consistency with retrospective design principles and aligns with the ethical waiver granted by our Institutional Ethics Committee.

We have now specified that our data will be collected only from outpatient department (OPD) records of women diagnosed and treated for UTI. This ensures that our focus is on community-acquired, uncomplicated UTIs.
This clarification is now included in the Study Setting, Inclusion Criteria, and Data Collection sections. No inpatient or ICU cases will be included, and complicated UTI cases will be excluded.

COMMENT 3:
The introduction has not been revised as proposed by reviewer 1, and neither the discussion as also recommended.
AUTHOR RESPONSE:
We thank the reviewer for this feedback. We have now extensively revised both the Introduction and Discussion sections.
The Introduction now includes recent literature on UTI treatment patterns, local prescribing practices, and rationale for ADR monitoring in reproductive-age women.
The Discussion has been expanded to address implications of irrational prescribing, potential underreporting of ADRs, and the regional significance of our findings. We have also added a paragraph on study limitations to improve transparency.
All changes are clearly marked in the revised manuscript.

COMMENT 4:
The different treatments of UTI described in the protocol are mostly for uncomplicated UTI, which does not comply with the idea, that hospital charts are being scrutinized.
AUTHOR RESPONSE:
As noted above, we have now explicitly stated that the study will include only outpatient records, and our focus is on community-acquired uncomplicated UTIs.
Accordingly, the treatment guidelines referenced in the manuscript pertain to uncomplicated UTI management, and this is now clearly stated in the revised Treatment and Study Design sections.
Competing Interests: No competing interests were disclosed. Close
Report a concern
Respond or Comment

COMMENTS ON THIS REPORT

Author Response 09 Aug 2025

DR. GAYATRI PATIL , Pharmacology, Datta Meghe Institute of Higher Education and Research, Wardha, 442001, India

09 Aug 2025

Author Response

Response to Reviewer: Dr. Niels Frimodt-Møller
COMMENT 1:
“The calculation of sample size is not correct; With a prevalence of around 3% (and what does that mean?) of UTIs in ... Continue reading Response to Reviewer: Dr. Niels Frimodt-Møller
COMMENT 1:
“The calculation of sample size is not correct; With a prevalence of around 3% (and what does that mean?) of UTIs in India they propose, that 47 patients will suffice? The prevalence of adverse effects is probably 10-15%; the investigators will need at least 10 times as many patients to achieve a reasonable result.”
AUTHOR RESPONSE:
We thank the reviewer for this important observation. We agree that calculating sample size based on UTI prevalence was not appropriate for our primary objective, which includes the analysis of adverse drug reactions (ADRs).
In response, we have recalculated the sample size using Daniel’s formula, based on an assumed ADR prevalence of 10%, with 95% confidence level and a 5% margin of error.
Formula used:
n = Z² × P × (1 − P) / d²
Z = 1.96, P = 0.10, d = 0.05
n = (1.96)² × 0.10 × (0.90) / (0.05)² ≈ 138.3
We have therefore revised the sample size to 139 patients and updated this in the Sample Size Estimation section. This revised sample size is now aligned with our primary outcome — the analysis of adverse drug reactions. We used an assumed ADR prevalence of 10%, as reported in similar studies (e.g., Fatima et al., J Drug Deliv Ther, 2015). This reference has been cited in the updated manuscript to support our methodology.

COMMENT 2:
The method to study adverse effects is to look in the charts (response to reviewer 1), while they also want to call by phone the patients in question (response to reviewer 2); in the last case it is not a retrospective study. Which charts are we talking about? If hospital charts, then the patients belong to a special group of patients admitted to hospital probably with complicated UTI, where adverse effects are different from community dwellers with uncomplicated UTI.
AUTHOR RESPONSE:
Thank you for pointing out this inconsistency. We have now removed the telephonic follow-up plan and clarified that the study will be conducted as a purely retrospective observational study. Only medical records from the hospital’s archived data will be used.
The protocol has been updated to reflect this in the Study Design, Data Collection, and Ethical Considerations sections. We will rely solely on documented ADRs recorded in the patient files.
This revision ensures methodological consistency with retrospective design principles and aligns with the ethical waiver granted by our Institutional Ethics Committee.

We have now specified that our data will be collected only from outpatient department (OPD) records of women diagnosed and treated for UTI. This ensures that our focus is on community-acquired, uncomplicated UTIs.
This clarification is now included in the Study Setting, Inclusion Criteria, and Data Collection sections. No inpatient or ICU cases will be included, and complicated UTI cases will be excluded.

COMMENT 3:
The introduction has not been revised as proposed by reviewer 1, and neither the discussion as also recommended.
AUTHOR RESPONSE:
We thank the reviewer for this feedback. We have now extensively revised both the Introduction and Discussion sections.
The Introduction now includes recent literature on UTI treatment patterns, local prescribing practices, and rationale for ADR monitoring in reproductive-age women.
The Discussion has been expanded to address implications of irrational prescribing, potential underreporting of ADRs, and the regional significance of our findings. We have also added a paragraph on study limitations to improve transparency.
All changes are clearly marked in the revised manuscript.

COMMENT 4:
The different treatments of UTI described in the protocol are mostly for uncomplicated UTI, which does not comply with the idea, that hospital charts are being scrutinized.
AUTHOR RESPONSE:
As noted above, we have now explicitly stated that the study will include only outpatient records, and our focus is on community-acquired uncomplicated UTIs.
Accordingly, the treatment guidelines referenced in the manuscript pertain to uncomplicated UTI management, and this is now clearly stated in the revised Treatment and Study Design sections.
Response to Reviewer: Dr. Niels Frimodt-Møller
COMMENT 1:
“The calculation of sample size is not correct; With a prevalence of around 3% (and what does that mean?) of UTIs in India they propose, that 47 patients will suffice? The prevalence of adverse effects is probably 10-15%; the investigators will need at least 10 times as many patients to achieve a reasonable result.”
AUTHOR RESPONSE:
We thank the reviewer for this important observation. We agree that calculating sample size based on UTI prevalence was not appropriate for our primary objective, which includes the analysis of adverse drug reactions (ADRs).
In response, we have recalculated the sample size using Daniel’s formula, based on an assumed ADR prevalence of 10%, with 95% confidence level and a 5% margin of error.
Formula used:
n = Z² × P × (1 − P) / d²
Z = 1.96, P = 0.10, d = 0.05
n = (1.96)² × 0.10 × (0.90) / (0.05)² ≈ 138.3
We have therefore revised the sample size to 139 patients and updated this in the Sample Size Estimation section. This revised sample size is now aligned with our primary outcome — the analysis of adverse drug reactions. We used an assumed ADR prevalence of 10%, as reported in similar studies (e.g., Fatima et al., J Drug Deliv Ther, 2015). This reference has been cited in the updated manuscript to support our methodology.

COMMENT 2:
The method to study adverse effects is to look in the charts (response to reviewer 1), while they also want to call by phone the patients in question (response to reviewer 2); in the last case it is not a retrospective study. Which charts are we talking about? If hospital charts, then the patients belong to a special group of patients admitted to hospital probably with complicated UTI, where adverse effects are different from community dwellers with uncomplicated UTI.
AUTHOR RESPONSE:
Thank you for pointing out this inconsistency. We have now removed the telephonic follow-up plan and clarified that the study will be conducted as a purely retrospective observational study. Only medical records from the hospital’s archived data will be used.
The protocol has been updated to reflect this in the Study Design, Data Collection, and Ethical Considerations sections. We will rely solely on documented ADRs recorded in the patient files.
This revision ensures methodological consistency with retrospective design principles and aligns with the ethical waiver granted by our Institutional Ethics Committee.

We have now specified that our data will be collected only from outpatient department (OPD) records of women diagnosed and treated for UTI. This ensures that our focus is on community-acquired, uncomplicated UTIs.
This clarification is now included in the Study Setting, Inclusion Criteria, and Data Collection sections. No inpatient or ICU cases will be included, and complicated UTI cases will be excluded.

COMMENT 3:
The introduction has not been revised as proposed by reviewer 1, and neither the discussion as also recommended.
AUTHOR RESPONSE:
We thank the reviewer for this feedback. We have now extensively revised both the Introduction and Discussion sections.
The Introduction now includes recent literature on UTI treatment patterns, local prescribing practices, and rationale for ADR monitoring in reproductive-age women.
The Discussion has been expanded to address implications of irrational prescribing, potential underreporting of ADRs, and the regional significance of our findings. We have also added a paragraph on study limitations to improve transparency.
All changes are clearly marked in the revised manuscript.

COMMENT 4:
The different treatments of UTI described in the protocol are mostly for uncomplicated UTI, which does not comply with the idea, that hospital charts are being scrutinized.
AUTHOR RESPONSE:
As noted above, we have now explicitly stated that the study will include only outpatient records, and our focus is on community-acquired uncomplicated UTIs.
Accordingly, the treatment guidelines referenced in the manuscript pertain to uncomplicated UTI management, and this is now clearly stated in the revised Treatment and Study Design sections.
Competing Interests: No competing interests were disclosed. Close
Report a concern

Views

Reviewer Report 13 Feb 2025

Niels Frimodt-Møller, Copenhagen University Hospital, Copenhagen, Denmark

Not Approved

https://doi.org/10.5256/f1000research.176032.r365731

The authors' responses to the reviewers' suggestions seem a bit unclear, and it appears that my original comments may not have been fully addressed.

The calculation of sample size is not correct; With a prevalence of

The authors' responses to the reviewers' suggestions seem a bit unclear, and it appears that my original comments may not have been fully addressed.

The calculation of sample size is not correct; With a prevalence of around 3% (and what does that mean?) of UTIs in India they propose, that 47 patients will suffice? The prevalence of adverse effects is probably 10-15 %; the investigators will need at least 10 times as many patients to achieve a reasonable results.
The method to study adverse effects is to look in the charts (response to reviewer 1), while they also want to call by phone the patients in question (response to reviewer 2); in the last case it is not a retrospective study. Which charts are we talking about? If hospital charts, then the patients belong to a special group of patients admitted to hospital probably with complicated UTI, where adverse effects are different from community dwellers with uncomplicated UTI.
The introduction has not been revised as proposed by reviewer 1, and neither the discussion as also recommended.
The different treatments of UTI described in the protocol are mostly for uncomplicated UTI, which does not comply with the idea, that hospital charts are being scrutinized.
The authors need to respond to the comments and completely revise the protocol.

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Clinical microbiology, urinary tract infections, E.coli pathogenesis, antibiotic activity in vitro and in vivo

CITE

Report a concern

Author Response 09 Aug 2025

DR. GAYATRI PATIL , Pharmacology, Datta Meghe Institute of Higher Education and Research, Wardha, 442001, India

09 Aug 2025

Author Response

Response to Reviewer: Dr. Niels Frimodt-Møller
COMMENT 1:
“The calculation of sample size is not correct; With a prevalence of around 3% (and what does that mean?) of UTIs in ... Continue reading Response to Reviewer: Dr. Niels Frimodt-Møller
COMMENT 1:
“The calculation of sample size is not correct; With a prevalence of around 3% (and what does that mean?) of UTIs in India they propose, that 47 patients will suffice? The prevalence of adverse effects is probably 10-15%; the investigators will need at least 10 times as many patients to achieve a reasonable result.”
AUTHOR RESPONSE:
We thank the reviewer for this important observation. We agree that calculating sample size based on UTI prevalence was not appropriate for our primary objective, which includes the analysis of adverse drug reactions (ADRs).
In response, we have recalculated the sample size using Daniel’s formula, based on an assumed ADR prevalence of 10%, with 95% confidence level and a 5% margin of error.
Formula used:
n = Z² × P × (1 − P) / d²
Z = 1.96, P = 0.10, d = 0.05
n = (1.96)² × 0.10 × (0.90) / (0.05)² ≈ 138.3
We have therefore revised the sample size to 139 patients and updated this in the Sample Size Estimation section. This revised sample size is now aligned with our primary outcome — the analysis of adverse drug reactions. We used an assumed ADR prevalence of 10%, as reported in similar studies (e.g., Fatima et al., J Drug Deliv Ther, 2015). This reference has been cited in the updated manuscript to support our methodology.

COMMENT 2:
The method to study adverse effects is to look in the charts (response to reviewer 1), while they also want to call by phone the patients in question (response to reviewer 2); in the last case it is not a retrospective study. Which charts are we talking about? If hospital charts, then the patients belong to a special group of patients admitted to hospital probably with complicated UTI, where adverse effects are different from community dwellers with uncomplicated UTI.
AUTHOR RESPONSE:
Thank you for pointing out this inconsistency. We have now removed the telephonic follow-up plan and clarified that the study will be conducted as a purely retrospective observational study. Only medical records from the hospital’s archived data will be used.
The protocol has been updated to reflect this in the Study Design, Data Collection, and Ethical Considerations sections. We will rely solely on documented ADRs recorded in the patient files.
This revision ensures methodological consistency with retrospective design principles and aligns with the ethical waiver granted by our Institutional Ethics Committee.

We have now specified that our data will be collected only from outpatient department (OPD) records of women diagnosed and treated for UTI. This ensures that our focus is on community-acquired, uncomplicated UTIs.
This clarification is now included in the Study Setting, Inclusion Criteria, and Data Collection sections. No inpatient or ICU cases will be included, and complicated UTI cases will be excluded.

COMMENT 3:
The introduction has not been revised as proposed by reviewer 1, and neither the discussion as also recommended.
AUTHOR RESPONSE:
We thank the reviewer for this feedback. We have now extensively revised both the Introduction and Discussion sections.
The Introduction now includes recent literature on UTI treatment patterns, local prescribing practices, and rationale for ADR monitoring in reproductive-age women.
The Discussion has been expanded to address implications of irrational prescribing, potential underreporting of ADRs, and the regional significance of our findings. We have also added a paragraph on study limitations to improve transparency.
All changes are clearly marked in the revised manuscript.

COMMENT 4:
The different treatments of UTI described in the protocol are mostly for uncomplicated UTI, which does not comply with the idea, that hospital charts are being scrutinized.
AUTHOR RESPONSE:
As noted above, we have now explicitly stated that the study will include only outpatient records, and our focus is on community-acquired uncomplicated UTIs.
Accordingly, the treatment guidelines referenced in the manuscript pertain to uncomplicated UTI management, and this is now clearly stated in the revised Treatment and Study Design sections.
Response to Reviewer: Dr. Niels Frimodt-Møller
COMMENT 1:
“The calculation of sample size is not correct; With a prevalence of around 3% (and what does that mean?) of UTIs in India they propose, that 47 patients will suffice? The prevalence of adverse effects is probably 10-15%; the investigators will need at least 10 times as many patients to achieve a reasonable result.”
AUTHOR RESPONSE:
We thank the reviewer for this important observation. We agree that calculating sample size based on UTI prevalence was not appropriate for our primary objective, which includes the analysis of adverse drug reactions (ADRs).
In response, we have recalculated the sample size using Daniel’s formula, based on an assumed ADR prevalence of 10%, with 95% confidence level and a 5% margin of error.
Formula used:
n = Z² × P × (1 − P) / d²
Z = 1.96, P = 0.10, d = 0.05
n = (1.96)² × 0.10 × (0.90) / (0.05)² ≈ 138.3
We have therefore revised the sample size to 139 patients and updated this in the Sample Size Estimation section. This revised sample size is now aligned with our primary outcome — the analysis of adverse drug reactions. We used an assumed ADR prevalence of 10%, as reported in similar studies (e.g., Fatima et al., J Drug Deliv Ther, 2015). This reference has been cited in the updated manuscript to support our methodology.

COMMENT 2:
The method to study adverse effects is to look in the charts (response to reviewer 1), while they also want to call by phone the patients in question (response to reviewer 2); in the last case it is not a retrospective study. Which charts are we talking about? If hospital charts, then the patients belong to a special group of patients admitted to hospital probably with complicated UTI, where adverse effects are different from community dwellers with uncomplicated UTI.
AUTHOR RESPONSE:
Thank you for pointing out this inconsistency. We have now removed the telephonic follow-up plan and clarified that the study will be conducted as a purely retrospective observational study. Only medical records from the hospital’s archived data will be used.
The protocol has been updated to reflect this in the Study Design, Data Collection, and Ethical Considerations sections. We will rely solely on documented ADRs recorded in the patient files.
This revision ensures methodological consistency with retrospective design principles and aligns with the ethical waiver granted by our Institutional Ethics Committee.

We have now specified that our data will be collected only from outpatient department (OPD) records of women diagnosed and treated for UTI. This ensures that our focus is on community-acquired, uncomplicated UTIs.
This clarification is now included in the Study Setting, Inclusion Criteria, and Data Collection sections. No inpatient or ICU cases will be included, and complicated UTI cases will be excluded.

COMMENT 3:
The introduction has not been revised as proposed by reviewer 1, and neither the discussion as also recommended.
AUTHOR RESPONSE:
We thank the reviewer for this feedback. We have now extensively revised both the Introduction and Discussion sections.
The Introduction now includes recent literature on UTI treatment patterns, local prescribing practices, and rationale for ADR monitoring in reproductive-age women.
The Discussion has been expanded to address implications of irrational prescribing, potential underreporting of ADRs, and the regional significance of our findings. We have also added a paragraph on study limitations to improve transparency.
All changes are clearly marked in the revised manuscript.

COMMENT 4:
The different treatments of UTI described in the protocol are mostly for uncomplicated UTI, which does not comply with the idea, that hospital charts are being scrutinized.
AUTHOR RESPONSE:
As noted above, we have now explicitly stated that the study will include only outpatient records, and our focus is on community-acquired uncomplicated UTIs.
Accordingly, the treatment guidelines referenced in the manuscript pertain to uncomplicated UTI management, and this is now clearly stated in the revised Treatment and Study Design sections.
Competing Interests: No competing interests were disclosed. Close
Report a concern
Respond or Comment

COMMENTS ON THIS REPORT

Author Response 09 Aug 2025

DR. GAYATRI PATIL , Pharmacology, Datta Meghe Institute of Higher Education and Research, Wardha, 442001, India

09 Aug 2025

Author Response

Response to Reviewer: Dr. Niels Frimodt-Møller
COMMENT 1:
“The calculation of sample size is not correct; With a prevalence of around 3% (and what does that mean?) of UTIs in ... Continue reading Response to Reviewer: Dr. Niels Frimodt-Møller
COMMENT 1:
“The calculation of sample size is not correct; With a prevalence of around 3% (and what does that mean?) of UTIs in India they propose, that 47 patients will suffice? The prevalence of adverse effects is probably 10-15%; the investigators will need at least 10 times as many patients to achieve a reasonable result.”
AUTHOR RESPONSE:
We thank the reviewer for this important observation. We agree that calculating sample size based on UTI prevalence was not appropriate for our primary objective, which includes the analysis of adverse drug reactions (ADRs).
In response, we have recalculated the sample size using Daniel’s formula, based on an assumed ADR prevalence of 10%, with 95% confidence level and a 5% margin of error.
Formula used:
n = Z² × P × (1 − P) / d²
Z = 1.96, P = 0.10, d = 0.05
n = (1.96)² × 0.10 × (0.90) / (0.05)² ≈ 138.3
We have therefore revised the sample size to 139 patients and updated this in the Sample Size Estimation section. This revised sample size is now aligned with our primary outcome — the analysis of adverse drug reactions. We used an assumed ADR prevalence of 10%, as reported in similar studies (e.g., Fatima et al., J Drug Deliv Ther, 2015). This reference has been cited in the updated manuscript to support our methodology.

COMMENT 2:
The method to study adverse effects is to look in the charts (response to reviewer 1), while they also want to call by phone the patients in question (response to reviewer 2); in the last case it is not a retrospective study. Which charts are we talking about? If hospital charts, then the patients belong to a special group of patients admitted to hospital probably with complicated UTI, where adverse effects are different from community dwellers with uncomplicated UTI.
AUTHOR RESPONSE:
Thank you for pointing out this inconsistency. We have now removed the telephonic follow-up plan and clarified that the study will be conducted as a purely retrospective observational study. Only medical records from the hospital’s archived data will be used.
The protocol has been updated to reflect this in the Study Design, Data Collection, and Ethical Considerations sections. We will rely solely on documented ADRs recorded in the patient files.
This revision ensures methodological consistency with retrospective design principles and aligns with the ethical waiver granted by our Institutional Ethics Committee.

We have now specified that our data will be collected only from outpatient department (OPD) records of women diagnosed and treated for UTI. This ensures that our focus is on community-acquired, uncomplicated UTIs.
This clarification is now included in the Study Setting, Inclusion Criteria, and Data Collection sections. No inpatient or ICU cases will be included, and complicated UTI cases will be excluded.

COMMENT 3:
The introduction has not been revised as proposed by reviewer 1, and neither the discussion as also recommended.
AUTHOR RESPONSE:
We thank the reviewer for this feedback. We have now extensively revised both the Introduction and Discussion sections.
The Introduction now includes recent literature on UTI treatment patterns, local prescribing practices, and rationale for ADR monitoring in reproductive-age women.
The Discussion has been expanded to address implications of irrational prescribing, potential underreporting of ADRs, and the regional significance of our findings. We have also added a paragraph on study limitations to improve transparency.
All changes are clearly marked in the revised manuscript.

COMMENT 4:
The different treatments of UTI described in the protocol are mostly for uncomplicated UTI, which does not comply with the idea, that hospital charts are being scrutinized.
AUTHOR RESPONSE:
As noted above, we have now explicitly stated that the study will include only outpatient records, and our focus is on community-acquired uncomplicated UTIs.
Accordingly, the treatment guidelines referenced in the manuscript pertain to uncomplicated UTI management, and this is now clearly stated in the revised Treatment and Study Design sections.
Response to Reviewer: Dr. Niels Frimodt-Møller
COMMENT 1:
“The calculation of sample size is not correct; With a prevalence of around 3% (and what does that mean?) of UTIs in India they propose, that 47 patients will suffice? The prevalence of adverse effects is probably 10-15%; the investigators will need at least 10 times as many patients to achieve a reasonable result.”
AUTHOR RESPONSE:
We thank the reviewer for this important observation. We agree that calculating sample size based on UTI prevalence was not appropriate for our primary objective, which includes the analysis of adverse drug reactions (ADRs).
In response, we have recalculated the sample size using Daniel’s formula, based on an assumed ADR prevalence of 10%, with 95% confidence level and a 5% margin of error.
Formula used:
n = Z² × P × (1 − P) / d²
Z = 1.96, P = 0.10, d = 0.05
n = (1.96)² × 0.10 × (0.90) / (0.05)² ≈ 138.3
We have therefore revised the sample size to 139 patients and updated this in the Sample Size Estimation section. This revised sample size is now aligned with our primary outcome — the analysis of adverse drug reactions. We used an assumed ADR prevalence of 10%, as reported in similar studies (e.g., Fatima et al., J Drug Deliv Ther, 2015). This reference has been cited in the updated manuscript to support our methodology.

COMMENT 2:
The method to study adverse effects is to look in the charts (response to reviewer 1), while they also want to call by phone the patients in question (response to reviewer 2); in the last case it is not a retrospective study. Which charts are we talking about? If hospital charts, then the patients belong to a special group of patients admitted to hospital probably with complicated UTI, where adverse effects are different from community dwellers with uncomplicated UTI.
AUTHOR RESPONSE:
Thank you for pointing out this inconsistency. We have now removed the telephonic follow-up plan and clarified that the study will be conducted as a purely retrospective observational study. Only medical records from the hospital’s archived data will be used.
The protocol has been updated to reflect this in the Study Design, Data Collection, and Ethical Considerations sections. We will rely solely on documented ADRs recorded in the patient files.
This revision ensures methodological consistency with retrospective design principles and aligns with the ethical waiver granted by our Institutional Ethics Committee.

We have now specified that our data will be collected only from outpatient department (OPD) records of women diagnosed and treated for UTI. This ensures that our focus is on community-acquired, uncomplicated UTIs.
This clarification is now included in the Study Setting, Inclusion Criteria, and Data Collection sections. No inpatient or ICU cases will be included, and complicated UTI cases will be excluded.

COMMENT 3:
The introduction has not been revised as proposed by reviewer 1, and neither the discussion as also recommended.
AUTHOR RESPONSE:
We thank the reviewer for this feedback. We have now extensively revised both the Introduction and Discussion sections.
The Introduction now includes recent literature on UTI treatment patterns, local prescribing practices, and rationale for ADR monitoring in reproductive-age women.
The Discussion has been expanded to address implications of irrational prescribing, potential underreporting of ADRs, and the regional significance of our findings. We have also added a paragraph on study limitations to improve transparency.
All changes are clearly marked in the revised manuscript.

COMMENT 4:
The different treatments of UTI described in the protocol are mostly for uncomplicated UTI, which does not comply with the idea, that hospital charts are being scrutinized.
AUTHOR RESPONSE:
As noted above, we have now explicitly stated that the study will include only outpatient records, and our focus is on community-acquired uncomplicated UTIs.
Accordingly, the treatment guidelines referenced in the manuscript pertain to uncomplicated UTI management, and this is now clearly stated in the revised Treatment and Study Design sections.
Competing Interests: No competing interests were disclosed. Close
Report a concern

Version 1

VERSION 1

PUBLISHED 29 Apr 2024

Views

Reviewer Report 13 Jul 2024

Vineetha Menon, Gulf Medical University, Ajman, United Arab Emirates

Not Approved

https://doi.org/10.5256/f1000research.163709.r297784

1. Abstract: The abstract is too brief; lacks specificity and content.
2. Introduction: The introduction lacks smooth flow and transitions between sections. There is some redundancy of information, grammatical errors, and formatting issues. There is no information given on the findings from previous studies done in this area. Also, there is a lack of focus on the significance of the study.
3. Method:
a. Study criteria: Study criteria is missing out on several vital elements. For example, details of treatment settings, time frame, presence of comorbidities, pregnancy status, or recurrent infections had not been addressed in the study criteria.
b. What does the author mean by "Study reference: Pritam Pardeshi"?
c. Statistical methods: There is a lack of information on how statistical methods were applied.
d. Dala collection: The data collection process is not detailed enough.
e. Study setting: The study setting does not mention in which institution the study was done.
f. Overall there are a lot of inconsistencies in the methodology. It's also stating that the study will be done- what does that mean?
4. Results: No results are available for review.
5. Discussion: The discussion lacks depth and specificity. There is also repetition of information previously mentioned. No clear conclusion or limitations were stated.

Is the rationale for, and objectives of, the study clearly described?

No
Is the study design appropriate for the research question?

Yes
Are sufficient details of the methods provided to allow replication by others?

No
Are the datasets clearly presented in a useable and accessible format?

No

References

1. Saber S, Yasmin N, Alam M, Hossain M, et al.: Study on Urinary Tract Infection Among Females of Reproductive Age Group in Tertiary Care Teaching Hospital, Dhaka, Bangladesh. European Journal of Medical and Health Sciences. 2021; 3 (1): 85-89 Publisher Full Text
2. Naik S, Samal S, Sahu S, Rath B: Antimicrobial prescribing pattern in urinary tract infection in a tertiary care hospital. National Journal of Physiology, Pharmacy and Pharmacology. 2017. Publisher Full Text
3. Anu Sahaya Supria K, Julliyan Dilleban A: Prescription pattern of antibiotic usage for urinary tract infection in tertiary care hospital. World Journal of Biology Pharmacy and Health Sciences. 2023; 16 (1): 178-181 Publisher Full Text

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Geriatrics, Medication safety management

CITE

Report a concern

Author Response 11 Feb 2025

DR. GAYATRI PATIL , Pharmacology, Datta Meghe Institute of Higher Education and Research, Wardha, 442001, India

11 Feb 2025

Author Response
1. Abstract: The abstract is too brief; lacks specificity and content.
Response: Changes done in the abstract.

2. Introduction: The introduction lacks smooth flow and transitions between sections. There ... Continue reading
1. Abstract: The abstract is too brief; lacks specificity and content.
Response:    Changes done in the abstract.

2. Introduction: The introduction lacks smooth flow and transitions between sections. There is some redundancy of information, grammatical errors, and formatting issues. There is no information given on the findings from previous studies done in this area. Also, there is a lack of focus on the significance of the study.
Response:   Now, I have mentioned the information regarding the previous study. It is mentioned in the discussion part. i.e.
This analysis is for the use of evidence-based medicine in tertiary care centers, to fulfill the drug information needs of the physician and also for improvement in the quality of healthcare by giving feedback to prescribers. This is an observational, retrospective study that will aim at the analysis of drug prescription patterns and adverse drug reactions due to drug prescription in urinary tract infections at tertiary health care centers.

3. Method:
a. Study criteria: Study criteria is missing out on several vital elements. For example, details of treatment settings, time frame, presence of comorbidities, pregnancy status, or recurrent infections had not been addressed in the study criteria.
Response: I have now added these parameters in my annexure
NAME, AGE/SEX, MRD NO., OPD NO., DIAGNOSIS, DRUGS USED, DOSE OF THE DRUG, ANY IRRATIONAL IN PRESCRIPTION, DURATION OF DRUG THERAPY, ADVERSE DRUG REACTIONS, DURATION OF ILLNESS, COMORBIDITIES, PREGNANCY STATUS, RECURRENT INFECTIONS

b. What does the author mean by "Study reference: Pritam Pardeshi"?
Response: This was the reference for my sample size calculation for the study.

c. Statistical methods: There is a lack of information on how statistical methods were applied.
Response: We will use the student’s t-test and Chi-square Test.

d. Data collection: The data collection process is not detailed enough.
Response: I will be collecting the data from the medical record section and then I will analyze the prescription for the given parameters which were given in the data collection section in my protocol.

e. Study setting: The study setting does not mention in which institution the study was done.
Response: This study will be carried out in the Rural Tertiary Care Hospital in Central India

f. Overall there are a lot of inconsistencies in the methodology. It's also stating that the study will be done- what does that mean?
Response: We haven’t started this study yet that’s why I wrote the study will be done. It’s my protocol for my study.

4. Results: No results are available for review.
Response: As this study is not started yet we can’t predict the result of this analysis. That’s why I didn’t mention the results.

5. Discussion: The discussion lacks depth and specificity. There is also a repetition of information previously mentioned. No clear conclusion or limitations were stated.
Response: I have made the changes in the discussion part according to your comments.

Is the rationale for, and objectives of, the study clearly described?

No, now I have made the changes to the objective.

Is the study design appropriate for the research question?

Yes

Are sufficient details of the methods provided to allow replication by others?

No   Response: Changes were made in the data collection section.

Are the datasets clearly presented in a useable and accessible format?

No
Response:   I have mentioned the parameters in this ANNEXURE.
NAME, AGE/SEX, MRD NO., OPD NO., DIAGNOSIS, DRUGS USED, DOSE OF THE DRUG, ANY IRRATIONAL IN PRESCRIPTION, DURATION OF DRUG THERAPY, ADVERSE DRUG REACTIONS, DURATION OF ILLNESS, COMORBIDITIES, PREGNANCY STATUS, RECURRENT INFECTIONS
1. Abstract: The abstract is too brief; lacks specificity and content.
Response:    Changes done in the abstract.

2. Introduction: The introduction lacks smooth flow and transitions between sections. There is some redundancy of information, grammatical errors, and formatting issues. There is no information given on the findings from previous studies done in this area. Also, there is a lack of focus on the significance of the study.
Response:   Now, I have mentioned the information regarding the previous study. It is mentioned in the discussion part. i.e.
This analysis is for the use of evidence-based medicine in tertiary care centers, to fulfill the drug information needs of the physician and also for improvement in the quality of healthcare by giving feedback to prescribers. This is an observational, retrospective study that will aim at the analysis of drug prescription patterns and adverse drug reactions due to drug prescription in urinary tract infections at tertiary health care centers.

3. Method:
a. Study criteria: Study criteria is missing out on several vital elements. For example, details of treatment settings, time frame, presence of comorbidities, pregnancy status, or recurrent infections had not been addressed in the study criteria.
Response: I have now added these parameters in my annexure
NAME, AGE/SEX, MRD NO., OPD NO., DIAGNOSIS, DRUGS USED, DOSE OF THE DRUG, ANY IRRATIONAL IN PRESCRIPTION, DURATION OF DRUG THERAPY, ADVERSE DRUG REACTIONS, DURATION OF ILLNESS, COMORBIDITIES, PREGNANCY STATUS, RECURRENT INFECTIONS

b. What does the author mean by "Study reference: Pritam Pardeshi"?
Response: This was the reference for my sample size calculation for the study.

c. Statistical methods: There is a lack of information on how statistical methods were applied.
Response: We will use the student’s t-test and Chi-square Test.

d. Data collection: The data collection process is not detailed enough.
Response: I will be collecting the data from the medical record section and then I will analyze the prescription for the given parameters which were given in the data collection section in my protocol.

e. Study setting: The study setting does not mention in which institution the study was done.
Response: This study will be carried out in the Rural Tertiary Care Hospital in Central India

f. Overall there are a lot of inconsistencies in the methodology. It's also stating that the study will be done- what does that mean?
Response: We haven’t started this study yet that’s why I wrote the study will be done. It’s my protocol for my study.

4. Results: No results are available for review.
Response: As this study is not started yet we can’t predict the result of this analysis. That’s why I didn’t mention the results.

5. Discussion: The discussion lacks depth and specificity. There is also a repetition of information previously mentioned. No clear conclusion or limitations were stated.
Response: I have made the changes in the discussion part according to your comments.

Is the rationale for, and objectives of, the study clearly described?

No, now I have made the changes to the objective.

Is the study design appropriate for the research question?

Yes

Are sufficient details of the methods provided to allow replication by others?

No   Response: Changes were made in the data collection section.

Are the datasets clearly presented in a useable and accessible format?

No
Response:   I have mentioned the parameters in this ANNEXURE.
NAME, AGE/SEX, MRD NO., OPD NO., DIAGNOSIS, DRUGS USED, DOSE OF THE DRUG, ANY IRRATIONAL IN PRESCRIPTION, DURATION OF DRUG THERAPY, ADVERSE DRUG REACTIONS, DURATION OF ILLNESS, COMORBIDITIES, PREGNANCY STATUS, RECURRENT INFECTIONS
Competing Interests: No competing interests were disclosed. Close
Report a concern
Respond or Comment

COMMENTS ON THIS REPORT

Author Response 11 Feb 2025

DR. GAYATRI PATIL , Pharmacology, Datta Meghe Institute of Higher Education and Research, Wardha, 442001, India

11 Feb 2025

Author Response
1. Abstract: The abstract is too brief; lacks specificity and content.
Response: Changes done in the abstract.

2. Introduction: The introduction lacks smooth flow and transitions between sections. There ... Continue reading
1. Abstract: The abstract is too brief; lacks specificity and content.
Response:    Changes done in the abstract.

2. Introduction: The introduction lacks smooth flow and transitions between sections. There is some redundancy of information, grammatical errors, and formatting issues. There is no information given on the findings from previous studies done in this area. Also, there is a lack of focus on the significance of the study.
Response:   Now, I have mentioned the information regarding the previous study. It is mentioned in the discussion part. i.e.
This analysis is for the use of evidence-based medicine in tertiary care centers, to fulfill the drug information needs of the physician and also for improvement in the quality of healthcare by giving feedback to prescribers. This is an observational, retrospective study that will aim at the analysis of drug prescription patterns and adverse drug reactions due to drug prescription in urinary tract infections at tertiary health care centers.

3. Method:
a. Study criteria: Study criteria is missing out on several vital elements. For example, details of treatment settings, time frame, presence of comorbidities, pregnancy status, or recurrent infections had not been addressed in the study criteria.
Response: I have now added these parameters in my annexure
NAME, AGE/SEX, MRD NO., OPD NO., DIAGNOSIS, DRUGS USED, DOSE OF THE DRUG, ANY IRRATIONAL IN PRESCRIPTION, DURATION OF DRUG THERAPY, ADVERSE DRUG REACTIONS, DURATION OF ILLNESS, COMORBIDITIES, PREGNANCY STATUS, RECURRENT INFECTIONS

b. What does the author mean by "Study reference: Pritam Pardeshi"?
Response: This was the reference for my sample size calculation for the study.

c. Statistical methods: There is a lack of information on how statistical methods were applied.
Response: We will use the student’s t-test and Chi-square Test.

d. Data collection: The data collection process is not detailed enough.
Response: I will be collecting the data from the medical record section and then I will analyze the prescription for the given parameters which were given in the data collection section in my protocol.

e. Study setting: The study setting does not mention in which institution the study was done.
Response: This study will be carried out in the Rural Tertiary Care Hospital in Central India

f. Overall there are a lot of inconsistencies in the methodology. It's also stating that the study will be done- what does that mean?
Response: We haven’t started this study yet that’s why I wrote the study will be done. It’s my protocol for my study.

4. Results: No results are available for review.
Response: As this study is not started yet we can’t predict the result of this analysis. That’s why I didn’t mention the results.

5. Discussion: The discussion lacks depth and specificity. There is also a repetition of information previously mentioned. No clear conclusion or limitations were stated.
Response: I have made the changes in the discussion part according to your comments.

Is the rationale for, and objectives of, the study clearly described?

No, now I have made the changes to the objective.

Is the study design appropriate for the research question?

Yes

Are sufficient details of the methods provided to allow replication by others?

No   Response: Changes were made in the data collection section.

Are the datasets clearly presented in a useable and accessible format?

No
Response:   I have mentioned the parameters in this ANNEXURE.
NAME, AGE/SEX, MRD NO., OPD NO., DIAGNOSIS, DRUGS USED, DOSE OF THE DRUG, ANY IRRATIONAL IN PRESCRIPTION, DURATION OF DRUG THERAPY, ADVERSE DRUG REACTIONS, DURATION OF ILLNESS, COMORBIDITIES, PREGNANCY STATUS, RECURRENT INFECTIONS
1. Abstract: The abstract is too brief; lacks specificity and content.
Response:    Changes done in the abstract.

2. Introduction: The introduction lacks smooth flow and transitions between sections. There is some redundancy of information, grammatical errors, and formatting issues. There is no information given on the findings from previous studies done in this area. Also, there is a lack of focus on the significance of the study.
Response:   Now, I have mentioned the information regarding the previous study. It is mentioned in the discussion part. i.e.
This analysis is for the use of evidence-based medicine in tertiary care centers, to fulfill the drug information needs of the physician and also for improvement in the quality of healthcare by giving feedback to prescribers. This is an observational, retrospective study that will aim at the analysis of drug prescription patterns and adverse drug reactions due to drug prescription in urinary tract infections at tertiary health care centers.

3. Method:
a. Study criteria: Study criteria is missing out on several vital elements. For example, details of treatment settings, time frame, presence of comorbidities, pregnancy status, or recurrent infections had not been addressed in the study criteria.
Response: I have now added these parameters in my annexure
NAME, AGE/SEX, MRD NO., OPD NO., DIAGNOSIS, DRUGS USED, DOSE OF THE DRUG, ANY IRRATIONAL IN PRESCRIPTION, DURATION OF DRUG THERAPY, ADVERSE DRUG REACTIONS, DURATION OF ILLNESS, COMORBIDITIES, PREGNANCY STATUS, RECURRENT INFECTIONS

b. What does the author mean by "Study reference: Pritam Pardeshi"?
Response: This was the reference for my sample size calculation for the study.

c. Statistical methods: There is a lack of information on how statistical methods were applied.
Response: We will use the student’s t-test and Chi-square Test.

d. Data collection: The data collection process is not detailed enough.
Response: I will be collecting the data from the medical record section and then I will analyze the prescription for the given parameters which were given in the data collection section in my protocol.

e. Study setting: The study setting does not mention in which institution the study was done.
Response: This study will be carried out in the Rural Tertiary Care Hospital in Central India

f. Overall there are a lot of inconsistencies in the methodology. It's also stating that the study will be done- what does that mean?
Response: We haven’t started this study yet that’s why I wrote the study will be done. It’s my protocol for my study.

4. Results: No results are available for review.
Response: As this study is not started yet we can’t predict the result of this analysis. That’s why I didn’t mention the results.

5. Discussion: The discussion lacks depth and specificity. There is also a repetition of information previously mentioned. No clear conclusion or limitations were stated.
Response: I have made the changes in the discussion part according to your comments.

Is the rationale for, and objectives of, the study clearly described?

No, now I have made the changes to the objective.

Is the study design appropriate for the research question?

Yes

Are sufficient details of the methods provided to allow replication by others?

No   Response: Changes were made in the data collection section.

Are the datasets clearly presented in a useable and accessible format?

No
Response:   I have mentioned the parameters in this ANNEXURE.
NAME, AGE/SEX, MRD NO., OPD NO., DIAGNOSIS, DRUGS USED, DOSE OF THE DRUG, ANY IRRATIONAL IN PRESCRIPTION, DURATION OF DRUG THERAPY, ADVERSE DRUG REACTIONS, DURATION OF ILLNESS, COMORBIDITIES, PREGNANCY STATUS, RECURRENT INFECTIONS
Competing Interests: No competing interests were disclosed. Close
Report a concern

Views

Reviewer Report 28 May 2024

Niels Frimodt-Møller, Copenhagen University Hospital, Copenhagen, Denmark

Not Approved

https://doi.org/10.5256/f1000research.163709.r276370

The protocol by Patil et al concerns an interesting subject regarding antibiotic use in urinary tract infection (UTI) in women, but the protocol needs revision particluarly to be more strict and prescise.
1. It is not clear, whether the investigation partakes on nosocomial (hospital derived) UTI or community associated UTI, or both? Define.
2. Define how a UTI is going to be defined through the retrospective approach (symptoms, urine culture, biochemical issue etc), if it is going to be analysed, whether the antibiotic treatment was correct i.e. administered for UTI.
3. Define which adverse effects are searched for, not only for nitrofurantoin and sulfonamides? it is often the case, that hospital records do not monitor adverse effects - this is always better done in a prospective study, where such effects are defined and the investigators asked to record them.
4. The calculation of sample size is performed according to prevalence of UTI; since all subjects searched for are supposed to have UTI, this is not correct. The sample size should be based upon the theoretical prevalence of adveres effects, since this is main objective. This is usually in the range of 5-10%, why the sample size must be much larger.
5. What is meant by combination therapy and fixed combinations? describe which e.g. trimethoprim-sulphamethoxazole, amoxicilin-clavulanic acid etc. Is combination therapy meant to be two drugs both intended for UTI?

Is the rationale for, and objectives of, the study clearly described?

No
Is the study design appropriate for the research question?

No
Are sufficient details of the methods provided to allow replication by others?

No
Are the datasets clearly presented in a useable and accessible format?

No

Competing Interests: No competing interests were disclosed.

Reviewer Expertise: Clinical microbiology, urinary tract infections, E.coli pathogenesis, antibiotic activity in vitro and in vivo

CITE

Report a concern

Author Response 11 Feb 2025

DR. GAYATRI PATIL , Pharmacology, Datta Meghe Institute of Higher Education and Research, Wardha, 442001, India

11 Feb 2025

Author Response
1. It is not clear, whether the investigation partakes on nosocomial (hospital derived) UTI or community associated UTI, or both? Define.
RESPONSE: This study only focuses on prescription patterns so ... Continue reading
1. It is not clear, whether the investigation partakes on nosocomial (hospital derived) UTI or community associated UTI, or both? Define.
RESPONSE: This study only focuses on prescription patterns so this study has no relationship with investigations.

2. Define how a UTI is going to be defined through the retrospective approach (symptoms, urine culture, biochemical issue etc), if it is going to be analysed, whether the antibiotic treatment was correct i.e. administered for UTI.
RESPONSE: This study has no relation with symptoms, urine culture, or biochemical issues this study will focus only on the treatment part after analyzing we will see the pattern of prescription and adverse drug reactions of drugs with each prescription. So focusing on the treatment part, we can’t define UTI.

3. Define which adverse effects are searched for, not only for nitrofurantoin and sulfonamides? it is often the case, that hospital records do not monitor adverse effects - this is always better done in a prospective study, where such effects are defined and the investigators asked to record them.
RESPONSE : Although it is a retrospective study, to analyze the ADR aspect we are going to telephonically contact them and get the feedback.

4. The calculation of sample size is performed according to prevalence of UTI; since all subjects searched for are supposed to have UTI, this is not correct. The sample size should be based upon the theoretical prevalence of adveres effects, since this is main objective. This is usually in the range of 5-10%, why the sample size must be much larger.
RESPONSE: Changes done in sample size.

5. What is meant by combination therapy and fixed combinations? describe which e.g. trimethoprim-sulphamethoxazole, amoxicilin-clavulanic acid etc. Is combination therapy meant to be two drugs both intended for UTI?
RESPONSE:
Fixed-dose drug combination (FDC) refers to a pharmaceutical formulation that contains two or more active ingredients in a single dosage form.
Ex. Trimethoprim + Sulfamethoxazole (Co-trimoxazole)
     Amoxicillin + Clavulanic Acid
     Nitrofurantoin + Vitamin B6

Combination therapy: For ex. If there are 6 different drugs which are available for the treatment of UTI. The combination of six different drug is combination therapy.
Hence both the terminologies are different.

Is the rationale for, and objectives of, the study clearly described?
No RESPONSE: I have made the change in objective.

Is the study design appropriate for the research question?
No
RESPONSE: Although it is a retrospective study, to analyze the ADR aspect we are going to telephonically contact them and get the feedback.   I am doing the retrospective study as this is the lacunae of the institute that’s why I am getting the information on ADR by communicating with the same patients.

Are sufficient details of the methods provided to allow replication by others?

No RESPONSE: Changes were made in the data collection section.

Are the datasets clearly presented in a useable and accessible format?

No RESPONSE: I have mentioned the parameters in the annexure.

NAME, AGE/SEX, MRD NO., OPD NO., DIAGNOSIS, DRUGS USED, DOSE OF THE DRUG, ANY IRRATIONAL IN PRESCRIPTION, DURATION OF DRUG THERAPY, ADVERSE DRUG REACTIONS, DURATION OF ILLNESS, COMORBIDITIES, PREGNANCY STATUS, RECURRENT INFECTIONS
1. It is not clear, whether the investigation partakes on nosocomial (hospital derived) UTI or community associated UTI, or both? Define.
RESPONSE: This study only focuses on prescription patterns so this study has no relationship with investigations.

2. Define how a UTI is going to be defined through the retrospective approach (symptoms, urine culture, biochemical issue etc), if it is going to be analysed, whether the antibiotic treatment was correct i.e. administered for UTI.
RESPONSE: This study has no relation with symptoms, urine culture, or biochemical issues this study will focus only on the treatment part after analyzing we will see the pattern of prescription and adverse drug reactions of drugs with each prescription. So focusing on the treatment part, we can’t define UTI.

3. Define which adverse effects are searched for, not only for nitrofurantoin and sulfonamides? it is often the case, that hospital records do not monitor adverse effects - this is always better done in a prospective study, where such effects are defined and the investigators asked to record them.
RESPONSE : Although it is a retrospective study, to analyze the ADR aspect we are going to telephonically contact them and get the feedback.

4. The calculation of sample size is performed according to prevalence of UTI; since all subjects searched for are supposed to have UTI, this is not correct. The sample size should be based upon the theoretical prevalence of adveres effects, since this is main objective. This is usually in the range of 5-10%, why the sample size must be much larger.
RESPONSE: Changes done in sample size.

5. What is meant by combination therapy and fixed combinations? describe which e.g. trimethoprim-sulphamethoxazole, amoxicilin-clavulanic acid etc. Is combination therapy meant to be two drugs both intended for UTI?
RESPONSE:
Fixed-dose drug combination (FDC) refers to a pharmaceutical formulation that contains two or more active ingredients in a single dosage form.
Ex. Trimethoprim + Sulfamethoxazole (Co-trimoxazole)
     Amoxicillin + Clavulanic Acid
     Nitrofurantoin + Vitamin B6

Combination therapy: For ex. If there are 6 different drugs which are available for the treatment of UTI. The combination of six different drug is combination therapy.
Hence both the terminologies are different.

Is the rationale for, and objectives of, the study clearly described?
No RESPONSE: I have made the change in objective.

Is the study design appropriate for the research question?
No
RESPONSE: Although it is a retrospective study, to analyze the ADR aspect we are going to telephonically contact them and get the feedback.   I am doing the retrospective study as this is the lacunae of the institute that’s why I am getting the information on ADR by communicating with the same patients.

Are sufficient details of the methods provided to allow replication by others?

No RESPONSE: Changes were made in the data collection section.

Are the datasets clearly presented in a useable and accessible format?

No RESPONSE: I have mentioned the parameters in the annexure.

NAME, AGE/SEX, MRD NO., OPD NO., DIAGNOSIS, DRUGS USED, DOSE OF THE DRUG, ANY IRRATIONAL IN PRESCRIPTION, DURATION OF DRUG THERAPY, ADVERSE DRUG REACTIONS, DURATION OF ILLNESS, COMORBIDITIES, PREGNANCY STATUS, RECURRENT INFECTIONS
Competing Interests: No competing interests were disclosed. Close
Report a concern
Respond or Comment

COMMENTS ON THIS REPORT

Author Response 11 Feb 2025

DR. GAYATRI PATIL , Pharmacology, Datta Meghe Institute of Higher Education and Research, Wardha, 442001, India

11 Feb 2025

Author Response
1. It is not clear, whether the investigation partakes on nosocomial (hospital derived) UTI or community associated UTI, or both? Define.
RESPONSE: This study only focuses on prescription patterns so ... Continue reading
1. It is not clear, whether the investigation partakes on nosocomial (hospital derived) UTI or community associated UTI, or both? Define.
RESPONSE: This study only focuses on prescription patterns so this study has no relationship with investigations.

2. Define how a UTI is going to be defined through the retrospective approach (symptoms, urine culture, biochemical issue etc), if it is going to be analysed, whether the antibiotic treatment was correct i.e. administered for UTI.
RESPONSE: This study has no relation with symptoms, urine culture, or biochemical issues this study will focus only on the treatment part after analyzing we will see the pattern of prescription and adverse drug reactions of drugs with each prescription. So focusing on the treatment part, we can’t define UTI.

3. Define which adverse effects are searched for, not only for nitrofurantoin and sulfonamides? it is often the case, that hospital records do not monitor adverse effects - this is always better done in a prospective study, where such effects are defined and the investigators asked to record them.
RESPONSE : Although it is a retrospective study, to analyze the ADR aspect we are going to telephonically contact them and get the feedback.

4. The calculation of sample size is performed according to prevalence of UTI; since all subjects searched for are supposed to have UTI, this is not correct. The sample size should be based upon the theoretical prevalence of adveres effects, since this is main objective. This is usually in the range of 5-10%, why the sample size must be much larger.
RESPONSE: Changes done in sample size.

5. What is meant by combination therapy and fixed combinations? describe which e.g. trimethoprim-sulphamethoxazole, amoxicilin-clavulanic acid etc. Is combination therapy meant to be two drugs both intended for UTI?
RESPONSE:
Fixed-dose drug combination (FDC) refers to a pharmaceutical formulation that contains two or more active ingredients in a single dosage form.
Ex. Trimethoprim + Sulfamethoxazole (Co-trimoxazole)
     Amoxicillin + Clavulanic Acid
     Nitrofurantoin + Vitamin B6

Combination therapy: For ex. If there are 6 different drugs which are available for the treatment of UTI. The combination of six different drug is combination therapy.
Hence both the terminologies are different.

Is the rationale for, and objectives of, the study clearly described?
No RESPONSE: I have made the change in objective.

Is the study design appropriate for the research question?
No
RESPONSE: Although it is a retrospective study, to analyze the ADR aspect we are going to telephonically contact them and get the feedback.   I am doing the retrospective study as this is the lacunae of the institute that’s why I am getting the information on ADR by communicating with the same patients.

Are sufficient details of the methods provided to allow replication by others?

No RESPONSE: Changes were made in the data collection section.

Are the datasets clearly presented in a useable and accessible format?

No RESPONSE: I have mentioned the parameters in the annexure.

NAME, AGE/SEX, MRD NO., OPD NO., DIAGNOSIS, DRUGS USED, DOSE OF THE DRUG, ANY IRRATIONAL IN PRESCRIPTION, DURATION OF DRUG THERAPY, ADVERSE DRUG REACTIONS, DURATION OF ILLNESS, COMORBIDITIES, PREGNANCY STATUS, RECURRENT INFECTIONS
1. It is not clear, whether the investigation partakes on nosocomial (hospital derived) UTI or community associated UTI, or both? Define.
RESPONSE: This study only focuses on prescription patterns so this study has no relationship with investigations.

2. Define how a UTI is going to be defined through the retrospective approach (symptoms, urine culture, biochemical issue etc), if it is going to be analysed, whether the antibiotic treatment was correct i.e. administered for UTI.
RESPONSE: This study has no relation with symptoms, urine culture, or biochemical issues this study will focus only on the treatment part after analyzing we will see the pattern of prescription and adverse drug reactions of drugs with each prescription. So focusing on the treatment part, we can’t define UTI.

3. Define which adverse effects are searched for, not only for nitrofurantoin and sulfonamides? it is often the case, that hospital records do not monitor adverse effects - this is always better done in a prospective study, where such effects are defined and the investigators asked to record them.
RESPONSE : Although it is a retrospective study, to analyze the ADR aspect we are going to telephonically contact them and get the feedback.

4. The calculation of sample size is performed according to prevalence of UTI; since all subjects searched for are supposed to have UTI, this is not correct. The sample size should be based upon the theoretical prevalence of adveres effects, since this is main objective. This is usually in the range of 5-10%, why the sample size must be much larger.
RESPONSE: Changes done in sample size.

5. What is meant by combination therapy and fixed combinations? describe which e.g. trimethoprim-sulphamethoxazole, amoxicilin-clavulanic acid etc. Is combination therapy meant to be two drugs both intended for UTI?
RESPONSE:
Fixed-dose drug combination (FDC) refers to a pharmaceutical formulation that contains two or more active ingredients in a single dosage form.
Ex. Trimethoprim + Sulfamethoxazole (Co-trimoxazole)
     Amoxicillin + Clavulanic Acid
     Nitrofurantoin + Vitamin B6

Combination therapy: For ex. If there are 6 different drugs which are available for the treatment of UTI. The combination of six different drug is combination therapy.
Hence both the terminologies are different.

Is the rationale for, and objectives of, the study clearly described?
No RESPONSE: I have made the change in objective.

Is the study design appropriate for the research question?
No
RESPONSE: Although it is a retrospective study, to analyze the ADR aspect we are going to telephonically contact them and get the feedback.   I am doing the retrospective study as this is the lacunae of the institute that’s why I am getting the information on ADR by communicating with the same patients.

Are sufficient details of the methods provided to allow replication by others?

No RESPONSE: Changes were made in the data collection section.

Are the datasets clearly presented in a useable and accessible format?

No RESPONSE: I have mentioned the parameters in the annexure.

NAME, AGE/SEX, MRD NO., OPD NO., DIAGNOSIS, DRUGS USED, DOSE OF THE DRUG, ANY IRRATIONAL IN PRESCRIPTION, DURATION OF DRUG THERAPY, ADVERSE DRUG REACTIONS, DURATION OF ILLNESS, COMORBIDITIES, PREGNANCY STATUS, RECURRENT INFECTIONS
Competing Interests: No competing interests were disclosed. Close
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Version 4

VERSION 4 PUBLISHED 29 Apr 2024

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Niels Frimodt-Møller, Copenhagen University Hospital, Copenhagen, Denmark
Vineetha Menon, Gulf Medical University, Ajman, United Arab Emirates
Abayeneh Girma, Mekdela Amba University, Tulu Awlya, Ethiopia

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26 Aug 2025 | for Version 3

Abayeneh Girma, Mekdela Amba University, Tulu Awlya, South Wollo Zone, Ethiopia

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Not Approved

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No competing interests were disclosed.

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Microbiology

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Niels Frimodt-Møller, Copenhagen University Hospital, Copenhagen, Denmark

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Approved

The authors have responded adequately to my comments, no further comments.

Competing Interests

No competing interests were disclosed.

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Clinical microbiology, urinary tract infections, E.coli pathogenesis, antibiotic activity in vitro and in vivo

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28 Jul 2025 | for Version 2

Abayeneh Girma, Mekdela Amba University, Tulu Awlya, South Wollo Zone, Ethiopia

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Not Approved

General comments
The manuscript addresses an important topic—prescription patterns and adverse drug reactions (ADRs) in urinary tract infections (UTIs) among reproductive-age women. However, significant methodological and conceptual flaws persist despite revisions, as highlighted by previous reviewers. The study’s design, sample size justification, and clarity of objectives remain inadequate, compromising its scientific rigor and reproducibility.
Major comments

Sample size and statistical power: The sample size calculation (n=47) is based on UTI prevalence (3.14%) rather than ADR prevalence (typically 5–15%), as correctly noted by Reviewer 1. This undermines the study’s ability to detect meaningful ADR patterns. A sample size of 47 is insufficient for robust conclusions, especially for secondary outcomes like combination therapy analysis.
Study design and methodology (i) Retrospective vs. prospective contradictions: The authors claim a retrospective design but propose telephonic follow-ups for ADR data, which introduces prospective elements. This hybrid approach lacks justification and risks bias (e.g., recall bias, non-response bias). (ii) Data source clarity: The manuscript does not specify whether UTIs are community-acquired or hospital-acquired, nor does it define diagnostic criteria (e.g., symptoms, culture results). This omission limits the interpretability of prescription patterns. (iii) ADR collection: Relying on hospital records for ADRs is problematic, as ADRs are often underreported in retrospective data. The plan to contact patients by phone is not standardized or ethically clarified (e.g., consent process).
Objectives and scope: The primary objectives are clear but overly broad. For example, "analyzing adverse reactions" lacks specificity (e.g., which ADRs, severity grading). Again, the secondary objective to analyze fixed-dose combinations (FDCs) is commendable but poorly operationalized. Examples like "Nitrofurantoin + Vitamin B6" are questionable, as Vitamin B6 is not a standard UTI treatment.
Peer review responses: The authors’ responses to reviewers (e.g., sample size recalculation, ADR methodology) are superficial. Key critiques (e.g., hospital vs. community UTI distinction, statistical methods) remain unaddressed.
Ethical and practical issues: While ethical approval is mentioned, the waiver for patient consent in retrospective data collection is noted. However, telephonic follow-ups for ADRs would require explicit ethical approval and consent, which is not discussed.

Minor comments

Introduction/Discussion: Redundant and lacks critical synthesis of prior literature (e.g., no mention of regional antibiotic resistance trends in Central India).
Table 1 (Data Collection): Parameters are listed but lack operational definitions (e.g., "irrational prescription" criteria).
Statistical analysis: Mention of "Student’s t-test and Chi-square" is insufficient. No details on covariates, regression models, or handling missing data.

Is the rationale for, and objectives of, the study clearly described?

No
Is the study design appropriate for the research question?

No
Are sufficient details of the methods provided to allow replication by others?

No
Are the datasets clearly presented in a useable and accessible format?

No

Competing Interests

No competing interests were disclosed.

Reviewer Expertise

Microbiology

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Responses (1)

Author Response

09 Aug 2025

DR. GAYATRI PATIL , Pharmacology, Datta Meghe Institute of Higher Education and Research, Wardha, 442001, India

Response to Reviewer: Dr. Niels Frimodt-Møller
COMMENT 1:
“The calculation of sample size is not correct; With a prevalence of around 3% (and what does that mean?) of UTIs in India they propose, that 47 patients will suffice? The prevalence of adverse effects is probably 10-15%; the investigators will need at least 10 times as many patients to achieve a reasonable result.”
AUTHOR RESPONSE:
We thank the reviewer for this important observation. We agree that calculating sample size based on UTI prevalence was not appropriate for our primary objective, which includes the analysis of adverse drug reactions (ADRs).
In response, we have recalculated the sample size using Daniel’s formula, based on an assumed ADR prevalence of 10%, with 95% confidence level and a 5% margin of error.
Formula used:
n = Z² × P × (1 − P) / d²
Z = 1.96, P = 0.10, d = 0.05
n = (1.96)² × 0.10 × (0.90) / (0.05)² ≈ 138.3
We have therefore revised the sample size to 139 patients and updated this in the Sample Size Estimation section. This revised sample size is now aligned with our primary outcome — the analysis of adverse drug reactions. We used an assumed ADR prevalence of 10%, as reported in similar studies (e.g., Fatima et al., J Drug Deliv Ther, 2015). This reference has been cited in the updated manuscript to support our methodology.

COMMENT 2:
The method to study adverse effects is to look in the charts (response to reviewer 1), while they also want to call by phone the patients in question (response to reviewer 2); in the last case it is not a retrospective study. Which charts are we talking about? If hospital charts, then the patients belong to a special group of patients admitted to hospital probably with complicated UTI, where adverse effects are different from community dwellers with uncomplicated UTI.
AUTHOR RESPONSE:
Thank you for pointing out this inconsistency. We have now removed the telephonic follow-up plan and clarified that the study will be conducted as a purely retrospective observational study. Only medical records from the hospital’s archived data will be used.
The protocol has been updated to reflect this in the Study Design, Data Collection, and Ethical Considerations sections. We will rely solely on documented ADRs recorded in the patient files.
This revision ensures methodological consistency with retrospective design principles and aligns with the ethical waiver granted by our Institutional Ethics Committee.

We have now specified that our data will be collected only from outpatient department (OPD) records of women diagnosed and treated for UTI. This ensures that our focus is on community-acquired, uncomplicated UTIs.
This clarification is now included in the Study Setting, Inclusion Criteria, and Data Collection sections. No inpatient or ICU cases will be included, and complicated UTI cases will be excluded.

COMMENT 3:
The introduction has not been revised as proposed by reviewer 1, and neither the discussion as also recommended.
AUTHOR RESPONSE:
We thank the reviewer for this feedback. We have now extensively revised both the Introduction and Discussion sections.
The Introduction now includes recent literature on UTI treatment patterns, local prescribing practices, and rationale for ADR monitoring in reproductive-age women.
The Discussion has been expanded to address implications of irrational prescribing, potential underreporting of ADRs, and the regional significance of our findings. We have also added a paragraph on study limitations to improve transparency.
All changes are clearly marked in the revised manuscript.

COMMENT 4:
The different treatments of UTI described in the protocol are mostly for uncomplicated UTI, which does not comply with the idea, that hospital charts are being scrutinized.
AUTHOR RESPONSE:
As noted above, we have now explicitly stated that the study will include only outpatient records, and our focus is on community-acquired uncomplicated UTIs.
Accordingly, the treatment guidelines referenced in the manuscript pertain to uncomplicated UTI management, and this is now clearly stated in the revised Treatment and Study Design sections.

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Competing Interests

No competing interests were disclosed.

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Reviewer Report

17 Views

13 Feb 2025 | for Version 2

Niels Frimodt-Møller, Copenhagen University Hospital, Copenhagen, Denmark

17 Views Cite this report Responses(1)

Not Approved

The authors' responses to the reviewers' suggestions seem a bit unclear, and it appears that my original comments may not have been fully addressed.

The calculation of sample size is not correct; With a prevalence of around 3% (and what does that mean?) of UTIs in India they propose, that 47 patients will suffice? The prevalence of adverse effects is probably 10-15 %; the investigators will need at least 10 times as many patients to achieve a reasonable results.
The method to study adverse effects is to look in the charts (response to reviewer 1), while they also want to call by phone the patients in question (response to reviewer 2); in the last case it is not a retrospective study. Which charts are we talking about? If hospital charts, then the patients belong to a special group of patients admitted to hospital probably with complicated UTI, where adverse effects are different from community dwellers with uncomplicated UTI.
The introduction has not been revised as proposed by reviewer 1, and neither the discussion as also recommended.
The different treatments of UTI described in the protocol are mostly for uncomplicated UTI, which does not comply with the idea, that hospital charts are being scrutinized.
The authors need to respond to the comments and completely revise the protocol.

Competing Interests

No competing interests were disclosed.

Reviewer Expertise

Clinical microbiology, urinary tract infections, E.coli pathogenesis, antibiotic activity in vitro and in vivo

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Responses (1)

Author Response

09 Aug 2025

DR. GAYATRI PATIL , Pharmacology, Datta Meghe Institute of Higher Education and Research, Wardha, 442001, India

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Competing Interests

No competing interests were disclosed.

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Reviewer Report

20 Views

13 Jul 2024 | for Version 1

Vineetha Menon, Gulf Medical University, Ajman, United Arab Emirates

20 Views Cite this report Responses(1)

Not Approved

Is the rationale for, and objectives of, the study clearly described?

No
Is the study design appropriate for the research question?

Yes
Are sufficient details of the methods provided to allow replication by others?

No
Are the datasets clearly presented in a useable and accessible format?

No

References

Competing Interests

No competing interests were disclosed.

Reviewer Expertise

Geriatrics, Medication safety management

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Responses (1)

Author Response

11 Feb 2025

DR. GAYATRI PATIL , Pharmacology, Datta Meghe Institute of Higher Education and Research, Wardha, 442001, India

1. Abstract: The abstract is too brief; lacks specificity and content.
Response: Changes done in the abstract.

2. Introduction: The introduction lacks smooth flow and transitions between sections. There is some redundancy of information, grammatical errors, and formatting issues. There is no information given on the findings from previous studies done in this area. Also, there is a lack of focus on the significance of the study.
Response: Now, I have mentioned the information regarding the previous study. It is mentioned in the discussion part. i.e.
This analysis is for the use of evidence-based medicine in tertiary care centers, to fulfill the drug information needs of the physician and also for improvement in the quality of healthcare by giving feedback to prescribers. This is an observational, retrospective study that will aim at the analysis of drug prescription patterns and adverse drug reactions due to drug prescription in urinary tract infections at tertiary health care centers.

3. Method:
a. Study criteria: Study criteria is missing out on several vital elements. For example, details of treatment settings, time frame, presence of comorbidities, pregnancy status, or recurrent infections had not been addressed in the study criteria.
Response: I have now added these parameters in my annexure
NAME, AGE/SEX, MRD NO., OPD NO., DIAGNOSIS, DRUGS USED, DOSE OF THE DRUG, ANY IRRATIONAL IN PRESCRIPTION, DURATION OF DRUG THERAPY, ADVERSE DRUG REACTIONS, DURATION OF ILLNESS, COMORBIDITIES, PREGNANCY STATUS, RECURRENT INFECTIONS

b. What does the author mean by "Study reference: Pritam Pardeshi"?
Response: This was the reference for my sample size calculation for the study.

c. Statistical methods: There is a lack of information on how statistical methods were applied.
Response: We will use the student’s t-test and Chi-square Test.

d. Data collection: The data collection process is not detailed enough.
Response: I will be collecting the data from the medical record section and then I will analyze the prescription for the given parameters which were given in the data collection section in my protocol.

e. Study setting: The study setting does not mention in which institution the study was done.
Response: This study will be carried out in the Rural Tertiary Care Hospital in Central India

f. Overall there are a lot of inconsistencies in the methodology. It's also stating that the study will be done- what does that mean?
Response: We haven’t started this study yet that’s why I wrote the study will be done. It’s my protocol for my study.

4. Results: No results are available for review.
Response: As this study is not started yet we can’t predict the result of this analysis. That’s why I didn’t mention the results.

5. Discussion: The discussion lacks depth and specificity. There is also a repetition of information previously mentioned. No clear conclusion or limitations were stated.
Response: I have made the changes in the discussion part according to your comments.

Is the rationale for, and objectives of, the study clearly described?

No, now I have made the changes to the objective.

Is the study design appropriate for the research question?

Yes

Are sufficient details of the methods provided to allow replication by others?

No Response: Changes were made in the data collection section.

Are the datasets clearly presented in a useable and accessible format?

No
Response: I have mentioned the parameters in this ANNEXURE.
NAME, AGE/SEX, MRD NO., OPD NO., DIAGNOSIS, DRUGS USED, DOSE OF THE DRUG, ANY IRRATIONAL IN PRESCRIPTION, DURATION OF DRUG THERAPY, ADVERSE DRUG REACTIONS, DURATION OF ILLNESS, COMORBIDITIES, PREGNANCY STATUS, RECURRENT INFECTIONS

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Competing Interests

No competing interests were disclosed.

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Reviewer Report

32 Views

28 May 2024 | for Version 1

Niels Frimodt-Møller, Copenhagen University Hospital, Copenhagen, Denmark

32 Views Cite this report Responses(1)

Not Approved

Is the rationale for, and objectives of, the study clearly described?

No
Is the study design appropriate for the research question?

No
Are sufficient details of the methods provided to allow replication by others?

No
Are the datasets clearly presented in a useable and accessible format?

No

Competing Interests

No competing interests were disclosed.

Reviewer Expertise

Clinical microbiology, urinary tract infections, E.coli pathogenesis, antibiotic activity in vitro and in vivo

Respond to this report

Responses (1)

Author Response

11 Feb 2025

DR. GAYATRI PATIL , Pharmacology, Datta Meghe Institute of Higher Education and Research, Wardha, 442001, India

1. It is not clear, whether the investigation partakes on nosocomial (hospital derived) UTI or community associated UTI, or both? Define.
RESPONSE: This study only focuses on prescription patterns so this study has no relationship with investigations.

2. Define how a UTI is going to be defined through the retrospective approach (symptoms, urine culture, biochemical issue etc), if it is going to be analysed, whether the antibiotic treatment was correct i.e. administered for UTI.
RESPONSE: This study has no relation with symptoms, urine culture, or biochemical issues this study will focus only on the treatment part after analyzing we will see the pattern of prescription and adverse drug reactions of drugs with each prescription. So focusing on the treatment part, we can’t define UTI.

3. Define which adverse effects are searched for, not only for nitrofurantoin and sulfonamides? it is often the case, that hospital records do not monitor adverse effects - this is always better done in a prospective study, where such effects are defined and the investigators asked to record them.
RESPONSE : Although it is a retrospective study, to analyze the ADR aspect we are going to telephonically contact them and get the feedback.

4. The calculation of sample size is performed according to prevalence of UTI; since all subjects searched for are supposed to have UTI, this is not correct. The sample size should be based upon the theoretical prevalence of adveres effects, since this is main objective. This is usually in the range of 5-10%, why the sample size must be much larger.
RESPONSE: Changes done in sample size.

5. What is meant by combination therapy and fixed combinations? describe which e.g. trimethoprim-sulphamethoxazole, amoxicilin-clavulanic acid etc. Is combination therapy meant to be two drugs both intended for UTI?
RESPONSE:
Fixed-dose drug combination (FDC) refers to a pharmaceutical formulation that contains two or more active ingredients in a single dosage form.
Ex. Trimethoprim + Sulfamethoxazole (Co-trimoxazole)
     Amoxicillin + Clavulanic Acid
     Nitrofurantoin + Vitamin B6

Combination therapy: For ex. If there are 6 different drugs which are available for the treatment of UTI. The combination of six different drug is combination therapy.
Hence both the terminologies are different.

Is the rationale for, and objectives of, the study clearly described?
No RESPONSE: I have made the change in objective.

Is the study design appropriate for the research question?
No
RESPONSE: Although it is a retrospective study, to analyze the ADR aspect we are going to telephonically contact them and get the feedback.   I am doing the retrospective study as this is the lacunae of the institute that’s why I am getting the information on ADR by communicating with the same patients.

Are sufficient details of the methods provided to allow replication by others?

No RESPONSE: Changes were made in the data collection section.

Are the datasets clearly presented in a useable and accessible format?

No RESPONSE: I have mentioned the parameters in the annexure.

NAME, AGE/SEX, MRD NO., OPD NO., DIAGNOSIS, DRUGS USED, DOSE OF THE DRUG, ANY IRRATIONAL IN PRESCRIPTION, DURATION OF DRUG THERAPY, ADVERSE DRUG REACTIONS, DURATION OF ILLNESS, COMORBIDITIES, PREGNANCY STATUS, RECURRENT INFECTIONS

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Competing Interests

No competing interests were disclosed.

Alongside their report, reviewers assign a status to the article:

Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested

Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.

Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions

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Analysis of prescription pattern and adverse drug reactions of drugs used in Urinary Tract Infection in reproductive age group (15-44 years) women in a Tertiary Care Hospital in Central India: An observational retrospective study

Abstract

Background

Objectives

Methods

Keywords

Revised Amendments from Version 3

Introduction

Protocol

Aim

Objectives

Methods

Statistical analysis

Population and case definition

Inclusion criteria

Exclusion criteria

Study setting

Sample size estimation

Study design

Statistical methods

Software used

Data collection and procedure

Table 1. Parameters and operational definitions used in data collection.

Dissemination

Study status

Discussion

Ethical considerations

Data availability

Acknowledgements

References

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