Keywords
tuberculosis, National Tuberculosis Elimination Programme, directly observed therapy short course, presentation delay, diagnosis delay, treatment delay
This article is included in the Datta Meghe Institute of Higher Education and Research collection.
Tuberculosis (TB) continues to pose a notable public health issue not just within India but on a worldwide scale. Analyzing the causes of presentation, management, and treatment delays of tuberculosis can offer valuable understanding into local trends and aid in crafting specific approaches for the successful management of TB. This research involves a cross-sectional examination conducted among TB patients residing in the regions served by the District Tuberculosis Centre, Wardha, and the directly observed treatment short course center in Sawangi. Information will be collected using a standardized questionnaire endorsed by the World Health Organization.
tuberculosis, National Tuberculosis Elimination Programme, directly observed therapy short course, presentation delay, diagnosis delay, treatment delay
In 2021, approximately 10.6 million individuals globally received a tuberculosis (TB) diagnosis, with a 95% confidence interval ranging from 9.9 to 11 million. This count comprised 6.0 million males, 3.4 million females, and 1.2 million children. Among the total cases, 6.7% were individuals coexisting with HIV. Over the same year, TB claimed the lives of 1.6 million people, with 187,000 of these fatalities occurring in individuals with HIV. More than two-thirds of the total worldwide TB cases were attributed to eight countries: India, Indonesia, China, Philippines, Pakistan, Nigeria, Bangladesh, and the Democratic Republic of the Congo. From 2000 to 2021, TB treatment has led to the preservation of 74 million lives. On a global scale, the count of individuals who received new TB diagnoses and those reported to their respective national authorities declined from 7.1 million in 2019 to 5.8 million in 2020, with a partial rebound to 6.4 million in 2021.
TB continues to be a significant public health issue in India. The difficulty lies not only in delivering successful treatment but also in minimizing the gap between identifying TB symptoms and promptly commencing treatment.
Prompt and effective identification and treatment of TB cases play a pivotal role in managing the disease. If TB diagnosis is delayed, it can amplify the spread of infection, exacerbate illness severity, elevate mortality rates, and might be a factor contributing to the limited reduction in TB incidence, despite the worldwide expansion of the directly observed treatment, short course (DOTS).1
Identifying the reasons behind delays can contribute to achieving India’s goal of eliminating tuberculosis by 2025. Hence, a primary area of emphasis within India’s National Tuberculosis Elimination Programme (NTEP) is rapid diagnosis and timely treatment.2 Having information about the diagnostic routes is crucial for devising strategies to minimize the delays in diagnosis or treatment.1
India possesses a multifaceted and diverse healthcare delivery structure, encompassing public and various forms of private healthcare providers, including both formal and informal sectors. Private and informal healthcare providers frequently serve as the initial point of contact for addressing illnesses, including tuberculosis.3
The time taken for diagnosis and treatment delay, along with the factors contributing to these delays, vary among different communities, types of healthcare facilities visited, and geographical regions. This variation holds true even within population groups within the same local context and disease category.3
Research indicates that elements leading to patient delay encompass aspects such as family size, employment, household income, social stigma, awareness about TB, proximity to healthcare facilities, and the practice of self-medication.3
The increasing volume of research on delays in diagnosis and treatment underscores the need for conducting studies tailored to specific populations. This is crucial for identifying factors unique to each population that contribute to delays in diagnosing and treating TB.
As per the 2014 guidelines from the World Health Organization (WHO), individuals displaying indicative symptoms and signs of TB, which encompass a cough lasting more than two weeks, fever persisting for over two weeks, considerable weight loss, coughing up blood, and any irregularities detected in a chest X-ray, as well as children experiencing continuous fever and/or a cough lasting more than two weeks, failure to gain weight or losing weight, and/or having been in contact with individuals diagnosed with pulmonary TB, should undergo an assessment to ascertain the presence of TB.
Multiple diagnostic tests are accessible for pulmonary TB, including confirming the presence of the bacteria through sputum analysis, examining chest X-rays, conducting serological assessments, employing tests like tuberculin skin test and interferon gamma release assay. In the case of children and individuals living with HIV (PLHIV), the preferred initial diagnostic method is the cartridge-based nucleic-acid amplification test.
Existing TB diagnostic methods like culture, sputum smear examination, tuberculin skin tests, and molecular assays, entail lengthy processing times, and certain methods are financially inaccessible for countries with limited economic resources.4
Ensuring widespread availability for prompt and precise TB diagnosis and improving the efficiency of identifying potential TB cases right at the initial care encounter, followed by connecting them with optimal diagnostic assessments, holds immense significance. Swift identification of potential cases during the early stages is critical for halting the spread of TB infection.
Every new tuberculosis patient in India should be provided with a globally recognized initial standard treatment plan (referring to the prescribed treatment course, which includes the TB medications) for newly diagnosed patients.
The beginning intensive phase incorporate the medications Isoniazid (H), Rifampicin (R), Pyrazinamide (Z), and Ethambutol (E). Subsequently, the follow-up phase, with the administration of the trio of medications Isoniazid, Rifampicin, and Ethambutol. This regimen is also expressed as 2HREZ/4HRE. There is no requirement for prolonging the follow-up phase.
Patients’ medication dosages must correspond to their body weight and fall within one of four specified weight ranges. All patients are required to take their daily tuberculosis medications while being directly observed by a designated DOTS provider. DOTS mandates that patients ingest their TB drugs in the presence of a DOTS agent. This agent is typically a volunteer from the patient’s local community and could potentially be a family member. DOTS doesn’t specify the particular medications to be taken; rather, it applies whenever a DOTS volunteer oversees the patient taking any TB medications.
While there might be existing studies on TB delays, an updated study in 2023 can provide insights into the evolving healthcare landscape. Factors such as the COVID-19 pandemic’s impact on healthcare seeking behaviour and service delivery could influence TB-related delays differently, making up-to-date research essential.
This study on assessing delay in presentation, diagnosis, and treatment of TB patients in central India in 2023 is important for understanding the specific challenges in this region, improving patient outcomes, reducing disease transmission, and contributing to effective TB control strategies. The aim of this study is to assess the status of presentation and management of tuberculosis patients in central India. We used the STROBE reporting guidelines to aid our reporting of this protocol.2
Ethical approval was obtained from the Institutional Ethics Committee of Datta Meghe Institute of Medical Science, DMIMS (DU), Sawangi, Wardha with reference no. DMIMS (DU)/IEC/2022/213 on 30th August 2022. Written informed consent for participation and publication of this study will be obtained from the study participants and from the parents of children below 18 years of age.
The study will be carried out in the area covered under the District Tuberculosis Centre, Wardha and the DOTS centre, Sawangi.
Inclusion criteria
1. Newly diagnosed TB patients registered under National Tuberculosis Elimination Programme.
2. Tuberculosis patients of age seven years or older.
Exclusion critera
The study will be conducted on TB patients registered in DTC Wardha and the DOTS centre under the NTEP.
A detailed list of all the sputum positive TB individuals for the period of 1st July 2022 to 30th December 2023 will be obtained from Nikshay, the web enabled patient management system for TB control under the National Tuberculosis Elimination Programme (NTEP). with prior permission from the DTO Wardha. This list will be used as a sampling framework to select a simple random sample of 377 individuals who are registered under the NTEP and attending the outpatient department (OPD) or admitted at DTC, Wardha and DOTS centre, Sawangi. The Random Number Generator app, version 1.0.11, will be used on the Samsung A34 mobile will be used to carry out the selection of individuals. Further data collection will be carried out at the OPD from patients attending OPD and from patients admitted at tuberculosis wards.
Data will be gathered through the utilization of a structured questionnaire, Diagnostic and treatment delay in tuberculosis, created by the World Health Organization (WHO). The questionnaire has been translated into the Marathi and Hindi language. Subsequently, direct interviews will be conducted with patients, following the acquisition of written informed consent from the patients. No pretesting phase will be conducted.
The sample size was calculated using Open Source Epidemiologic Statistics for Public Health (OpenEpi), Version 5.5.11. For this study delay in presentation, diagnosis and treatment were included as outcome variables. The hypothesized frequency of outcome variables (p) were taken to be 56.9%, 38% and 8% respectively. The Confidence Interval (CI) was kept at 95%, with an absolute error of 5% for all variables and design effect (DEFF) was 1.0. The sample size was calculated to be 377, 362 and 114. The sample size was calculated using the formula:
and then the sample size was taken as 377.Key results of this study will be the current status of presentation, diagnosis and treatment of tuberculosis cases in recent times. In case we find any delay, we will calculate the mean duration for the total pathway including presentation delay, diagnostic delay and treatment delay.
Regarding the scoring methodology, the scores will be initially reversed before their integration into the relevant domains. This reversal will be executed to accurately reflect the positive trajectory of the studied variable. The mean percentage score for socioeconomic status, stigma, satisfaction with care, and knowledge will be ascertained using the following formula: (Sum of attained scores/Maximum attainable scores) × 100. Following this, the mean percentage scores will be computed to establish the variables’ scaling ranging from 0 to 100%. The highest percentage value will signify the most significant improvement in that particular characteristic or variable.
Instances that exhibit prolonged delays will be categorized as “cases,” whereas those with shorter delays will be denoted as “controls.” The threshold for defining “extended” delays will be established by considering the median value achieved for each respective cases. This median value will also serve as the criterion for classifying other variables such as stigma, knowledge, and satisfaction with care into categories of satisfactory and unsatisfactory. Data analysis will be executed utilizing the statistical software package, R,Version -4.3.1. Descriptive statistics including measures like frequency, mean, standard deviation, median, minimum, and maximum will be employed. For qualitative/categorical variables, group comparisons will be conducted using the Chi-square test or Fischer’s exact test as suitable. Similarly, quantitative variables will be compared using the t-test or Mann-Whitney test. To account for the influence of various identified factors affecting diagnostic and treatment delays in TB patients, a multivariate regression analysis will be carried out. The significance level will be set at 95% (with a P value <0.05 considered significant), and all tests will be two-sided.
In a study carried out in Mumbai, India, by Mistry and colleagues, it was found that the average duration for the entire pathway of uncomplicated pulmonary TB patients was 65 days, and approximately 29% of patients fell outside this average duration. Notably, the average time taken for initial care seeking was consistent for both new patients (24 days) and retreatment patients (25 days).5
According to Mundra and colleagues, the midpoint duration for seeking initial care and diagnosis was 10 days each, while treatment initiation had a median delay of two days. The areas recognized as causes for delay in care seeking encompassed disregard for health, health-related factors, facility-associated challenges, as well as domestic and societal considerations. For delays in diagnosis, the factors identified were linked to the system and the patients, with each having two distinct subcategories.6
The research of Paramasivam and colleagues showed that the average age of participants was 48.6 years with a standard deviation of 14.5 years. Among the study population, males comprised 76.5%. The average time of diagnostic delay was approximately 43.5 days, with a standard deviation of 29.1 days (median: 37 days). The median durations for patient delay and health system delay were 16 days and 15 days, respectively. Patient delay was more predominant, accounting for 55.6% compared to the 44.4% attributed to health system delay. Notably, poor understanding of TB, initial consultation with a private physician, and a higher number of medical visits were significantly linked to diagnostic delay.7
According to Sreeramareddy and co-authors, the median estimates (with interquartile ranges) for patient, diagnostic, and treatment delay were found to be 18.4 days (with a range of 14.3 to 27.0 days), 31.0 days (with a range of 24.5 to 35.4 days), and 2.5 days (with a range of 1.9 to 3.6 days), respectively, when considering both TB and chest symptomatic patients together. The total median delay encompassing all these factors was approximately 55.3 days (with a range of 46.5 to 61.5 days). Notably, about 48% of all patients initially sought care from private healthcare providers, and an average of 2.7 healthcare providers were consulted before a diagnosis was established.3
Patki and colleagues found that the median duration of delay was 35.5 days, with diagnostic delay constituting 84% of this duration. Male patients and those from families falling below the poverty line exhibited notably shorter median delay, and these differences were statistically significant (P < 0.05). Notably, a distinct delay was observed in the initiation of TB treatment, with diagnostic delay being the primary contributor to the overall delay.
There are several possible limitations to this study:
Cultural differences: The WHO questionnaire may have been developed with a global perspective, which might not fully account for cultural nuances and variations specific to central India.
Questionnaire validity: While the WHO questionnaire is widely used, its applicability and validity in the context of central India may not have been thoroughly assessed. Certain questions might not accurately capture the region-specific factors contributing to delays.
Response bias: Participants’ responses can be influenced by social desirability bias or recall bias. This could affect the accuracy and reliability of the collected data, particularly when reporting sensitive information or events related to delays.
Zenodo: STROBE checklist for ‘Assessment of the status of presentation and management of tuberculosis patients in central India’, https://www.doi.org/10.5281/zenodo.8285467. 4
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
I would like to thank the District Tuberculosis Officer, Wardha for permitting data collection.
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Is the rationale for, and objectives of, the study clearly described?
Partly
Is the study design appropriate for the research question?
Partly
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: Tuberculosis, COVID-19, Pulmonary infection
Is the rationale for, and objectives of, the study clearly described?
Yes
Is the study design appropriate for the research question?
Partly
Are sufficient details of the methods provided to allow replication by others?
Yes
Are the datasets clearly presented in a useable and accessible format?
Partly
References
1. Shah HD, Nazli Khatib M, Syed ZQ, Gaidhane AM, et al.: Gaps and Interventions across the Diagnostic Care Cascade of TB Patients at the Level of Patient, Community and Health System: A Qualitative Review of the Literature.Trop Med Infect Dis. 2022; 7 (7). PubMed Abstract | Publisher Full TextCompeting Interests: No competing interests were disclosed.
Is the rationale for, and objectives of, the study clearly described?
Partly
Is the study design appropriate for the research question?
Partly
Are sufficient details of the methods provided to allow replication by others?
Partly
Are the datasets clearly presented in a useable and accessible format?
Partly
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Infectious Diseases
Alongside their report, reviewers assign a status to the article:
Invited Reviewers | |||
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Version 1 16 Feb 24 |
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Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list:
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