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Research Article

Assessment of the level of knowledge about diabetes mellitus among diabetic patients: A cross-sectional study from Nepal

[version 1; peer review: 1 approved with reservations, 1 not approved]
PUBLISHED 18 Apr 2023
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Abstract

Background 
 
Diabetes mellitus is a chronic non-communicable disease (NCD) often associated with poor psychosocial and health outcomes. Available evidence suggests that patients’ knowledge about the disease is fundamental to its treatment and prevention or delaying of complications. Therefore, this study assessed the level of knowledge of diabetes patients on diabetes mellitus and its associated factors. 
 
Methods 
 
A descriptive cross-sectional study using a translated Nepalese version of the revised Michigan Diabetes Knowledge Scale was conducted among randomly selected patients with diabetes mellitus presenting to the outpatient department (OPD) of Madhyabindu Hospital, Nepal. Data were collected via an interviewer administered questionnaire and analyzed with MS Excel 2016 and IBM SPSS version 25 software. 
 
Results 
 
Among the 360 participants, 27.2% had good knowledge of diabetes and 72.8% had poor knowledge. Age, level of education, occupation, family history of diabetes, duration of the disease, presence of comorbidity, complications and body mass index (BMI) were significantly associated with knowledge of diabetes mellitus (p-value ≤ 0.05). 
 
Conclusions 
 
Based on the study findings, it is important that diabetes self-management education and support (DSMES) programs should be implemented and/or strengthened at the Madhyabindu Hospital and targeted communities to improve diabetes patient’s knowledge on their disease condition and self-care practices.

Keywords

chronic disease, non-communicable disease,  diabetes mellitus, knowledge, Revised Michigan Diabetes Knowledge Scale, health education, prevention, Nepal

Introduction

Diabetes mellitus is a preventable, chronic metabolic, non-communicable disease characterized by hyperglycemia that results from defects in insulin secretion, insulin action, or both.1 In 2019, P Saeedi et al. estimated the global prevalence to be 9.3% and projected it would be 10.2% by 2030 and 10.9% by 2045.2 Recent meta-analysis in Nepal by N Shrestha et al. taking published data dated up to 2020, showed the pooled prevalence of diabetes to be 8.5%.3 So, under the same lifestyle, with an aging population, and unhealthy diet, the prevalence would likely be more unless necessary steps are taken. In addition to this, the meta-analysis also showed that less than half of known diabetic patients were treated with anti-diabetic drugs and only one-third had their blood glucose controlled.3

Proper management to control blood glucose can delay the progression of a disease with a significant reduction in diabetes-related complications.4 One of these management methods includes, patient education with appropriate and adequate knowledge of diabetes, which is a key to behavioral change for good glycemic control.57 It is imperative for clinicians to know the knowledge status of the patient and counsel them properly, suggest them good educational programs which in turn would assist in the holistic care of the patient. In addition to this, concerned authorities should be aware of the knowledge status of the diabetic patient to change or add policies and programs to meet their needs.

Thus, this study aims to understand the knowledge related to diabetes in a diabetic patient using the Revised Michigan Diabetic Assessment tool, which consists of 20 true/false statements that assess a patient’s diabetes related knowledge, including items on diet, blood glucose control, exercise, medication taking, complications and insulin use.8 We also explore the socio-demographic and clinical characteristics of diabetic patients, and assess their relationship with their level of diabetic knowledge.

Methods

Study setting and population

This descriptive cross-sectional study was conducted from December 2021 to January 2022 in the outpatient department (OPD) of Madhyabindu Hospital located in the Nawalparasi district of Nepal. All adult patients aged 18 or above attending the outpatient department during the data collection period, with the diagnosis of diabetes mellitus type 1 or 2 based on the American Diabetes Association criteria9 were eligible for the study. Patients with gestational diabetes mellitus were excluded from the study.

Sample size

The sample size of the study was 360 which was calculated as follow:

n=Z2pq/e2=1.962×0.62×0.38/0.0025=360

Where,

n = sample size

Z = 1.96 at 95% confidence interval

p = prevalence of knowledge about diabetes = 0.6210

q = 1 – p = 0.38

e = standard error (taking 5%)

Sampling technique

A probability simple random sampling technique was used. The average number of diabetic patients visiting OPD per day was fifty. All the diabetic patients who presented to the OPD were marked with a specific number and a lottery method was used to choose the study participants. Fourteen participants were selected each day for data collection.

Ethical considerations

Permission was obtained from Madhyabindu Hospital and the study was approved by the Nepal Health Research Council (Reg. no. 668/2021). The purpose and benefits of the study were explained to the participants, ensuring no harm or risk. They were made aware that their participation would be voluntary, and the data obtained would be published maintaining privacy. Before data collection, informed written consent was obtained from each participant.

Data collection and tools

Data was collected by one of the researchers via formal interview with each of the participants. The interviewer read the statements present in the questionnaire and the participant responded with whether the statement was true/false or don’t know. The average duration for each interview was 15 minutes. The baseline measurements such as blood pressure, height, body weight, and body mass index (BMI) were obtained at the same visit. Laboratory data were collected from each patient’s medical record. The privacy of the study population was maintained throughout the interview by using serial number instead of their name in questionnaire and written consent form.

We used the Revised Michigan Diabetes Knowledge Scale True/False version to assess each patient’s knowledge.8 The questionnaire was translated into the Nepali language by the researchers to reduce language barriers among patients. It was then back-translated into English by a bilingual translator. The translation was refined after back translation until agreement was obtained among the researchers. One endocrinologist examined and approved the Nepalese version of the questionnaire.

Dependent variables

The questionnaire consisted of 20 true/false statements that aimed to assess diabetes mellitus knowledge and awareness. Patients who answered more than or equal to 65% of the questions correctly were considered to possess good knowledge about diabetes mellitus.11

Socio-demographic variables

Sociodemographic variables included age, gender, religion, education level, occupation, and marital status. Clinical characteristics included family history of diabetes, duration since diagnosis of diabetes, types of medications used, comorbidities, body mass index (BMI), blood pressure (BP), fasting blood sugar level, postprandial blood sugar level, and diabetic complications.

Statistical analysis

MS Excel 2016 and IBM SPSS version 25 were used for data management and analysis. We used frequency for categorical variables, and mean and standard deviation for continuous variables. A Chi-square test was used to study the relationship between variables; a t-test was used to compare means. P value less than or equal to 0.05 was considered statistically significant for all statistical tests.

Results

Of the 360 participants, the mean (±SD) age was 58.23±11.83 years (range 24-88 years). A majority of the participants were male (n=217, 60.3%) and had no family history of diabetes mellitus (n=244, 67.8%). Approximately, one-third of the participants were illiterate (n=115, 31.9%) and had diabetes for at least 5 years (n=129, 35.8%). Most of the participants (n=191, 53.1%) were using a combination of oral hypoglycemic agents (OHA) for medical treatment, with 123 (34.2%) patients having complications with neuropathy (n=57,15.8%) being the most common complication.

Other socio-demographic and clinical characteristics of patients are shown in Tables 1 and 2. The full dataset can be found under Underlying data.

Table 1. Socio-demographic characteristics of the study participants (n=360).

VariablesN%
GenderMale21760.3
Female14339.7
Marital statusMarried31587.5
Unmarried10.3
Widow4412.2
ReligionHindu32389.7
Buddhist205.6
Muslim154.2
Christian20.6
Age group (years)≤39.00174.7
40.00-49.007019.4
50.00-59.0011331.4
60.00-69.009125.3
70.00+6919.2
Level of educationIlliterate11531.9
Literate12133.6
School level9426.1
Higher education308.3
OccupationFarmer11431.7
Housewives6818.9
Business3910.8
Government256.9
Unemployed4913.6
Others6518.1

Table 2. Clinical characteristics of the study participants (n=360).

VariablesN%
Family historyYes11632.2
No24467.8
Duration of DiabetesOne year or less5013.9
1 to 5 years18150.3
5 to 10 years9526.4
More than 10 years349.4
Type of medicationSingle OHA13336.9
Combination of OHA19153.1
Insulin alone41.1
OHA plus insulin328.9
Co-morbiditiesPresent21058.3
Not present15041.7
BMI (kg/m2)Underweight (<18.5)10.3
Normal (18.5-24.9)13336.9
Overweight (25-29.9)18651.7
Obese (30+)4011.1
ComplicationsRetinopathy4011.1
Neuropathy5715.8
Nephropathy143.9
Coronary Artery Diseases (CAD)92.5
Diabetic ulcers30.8
None23765.8
Blood Pressure (BP)Mean systolic BP, mmHg126.65
Mean diastolic BP, mmHg81.05
Blood Sugar LevelMean fasting blood sugar level (mg/dl)138.29
Mean post-prandial blood sugar level (mg/dl)210.99

Knowledge status on diabetes and its correlate

The highest percentage of correct answers (93.9%), (91.7%) and (90.8%) respectively belonged to these questions: “Having regular check-ups with your doctor can help spot the early signs of diabetes complications”, “Exercising regularly can help reduce high blood pressure”, “Eating foods lower in fat decreases your risk for heart disease”. However, the lowest percentage of correct answers (14.7%), (22.2%), (26.9%) were for these questions respectively: “Attending your diabetes appointments stops you from getting diabetes complications”, “Lung problems are usually associated with having diabetes”, “Glycosylated hemoglobin (HbA1c) is a test that measures your average blood glucose level in the past week” as shown in Table 3. Among 30 patients taking insulin, 70% gave the right response to “High blood glucose level can be caused by too much insulin” as shown in Table 3.

Table 3. Frequency distribution of correct response.

S.N.Questions about diabetes knowledgeN%
1.The diabetes diet is a healthy diet for most people.23063.9%
2.Glycosylated hemoglobin (HbA1c) is a test that measures your average blood glucose level in the past week.9726.9%
3.A pound of chicken has more carbohydrate in it than a pound of potatoes.22562.5%
4.Orange juice has more fat in it than low fat milk.30283.9%
5.Urine testing and blood testing are both equally as good as testing the level of blood glucose.11331.4%
6.Unsweetened fruit juice raises blood glucose levels.22662.8%
7.A can of diet soft drink can be used for treating low blood glucose levels.19855.0%
8.Using olive oil in cooking can help prevent raised cholesterol in the blood.17949.7%
9.Exercising regularly can help reduce high blood pressure.33091.7%
10.For a person in good control exercising has no effect on blood sugar levels.13738.1%
11.Infection is likely to cause an increase in blood sugar levels.16846.7%
12.Wearing shoes, a size bigger than usual helps prevent foot ulcers.9927.5%
13.Eating foods lower in fat decreases your risk for heart disease.32790.8%
14.Numbness and tingling may be symptoms of nerve disease.31286.7%
15.Lung problems are usually associated with having diabetes.8022.2%
16.When you are sick with the flu you should test for glucose more often.14640.6%
17.Having regular check-ups with your doctor can help spot the early signs of diabetes complications.33893.9%
18.Attending your diabetes appointments stops you getting diabetes complications.5314.7%
Among 30 patients using insulin
19.High blood glucose levels may be caused by too much insulin.2170.0%
20.If you take your morning insulin but skip breakfast your blood glucose level will usually decrease.1860.0%

98 patients (27.2%) possessed good knowledge about diabetes. Patients with good knowledge of diabetes had a mean age of 53.70±11.81, while patients with poor knowledge of diabetes had a mean age of 59.92±11.41 (p-value < 0.001). 30.45% of males had good knowledge compared to 22.4% of females with a non-significant p-value of 0.094 as shown in Figure 1. Patients living with the disease for more than ten years had poor knowledge of diabetes with a p-value of 0.005.

787ef4e7-a120-4b87-86a3-c30ef305fef7_figure1.gif

Figure 1. Gender and knowledge status.

According to this study, poor knowledge increased with age, and decreased with the level of education. Being a farmer, housewife and unemployed was associated with having poor knowledge on diabetes. Having a family member with diabetes was associated with having good knowledge of diabetes. Other variables like duration since diagnosis, co-morbidities, complications and BMI were significantly associated with knowledge status as shown in Table 4.

Table 4. Frequency distribution of the patient characteristics according to knowledge status.

VariablesPoor knowledgeGood knowledgeP value
N%N%
Age group≤39.00847.1%952.9%<0.001
40.00-49.003955.7%3144.3%
50.00-59.008171.7%3228.3%
60.00-69.007683.5%1516.5%
70.00+5884.1%1115.9%
GenderMale15169.6%6630.4%0.094
Female11177.6%3222.4%
Marital statusMarried22571.4%9028.6%0.290
Unmarried1100.0%00.0%
Widow3681.8%818.2%
Divorced00.0%00.0%
ReligionHindu24174.6%8225.4%0.062
Buddhist1155.0%945.0%
Muslim853.3%746.7%
Christian2100.0%00.0%
Others00.0%00.0%
Education levelIlliterate10994.8%65.2%<0.001
Literate9578.5%2621.5%
School level4750.0%4750.0%
Higher education1136.7%1963.3%
OccupationFarmer9583.3%1916.7%<0.001
Housewife6291.2%68.8%
Business1948.7%2051.3%
Government936.0%1664.0%
Unemployed4183.7%816.3%
Others3655.4%2944.6%
Family historyYes6051.7%5648.3%<0.001
No20282.8%4217.2%
DurationOne year or less4182.0%918.0%0.005
1 to 5 years11764.6%6435.4%
5 to 10 years7578.9%2021.1%
More than 10 years2985.3%514.7%
MedicationSingle OHA8966.9%4433.1%0.141
Combination OHA14575.9%4624.1%
Insulin alone250.0%250.0%
OHA plus insulin2681.3%618.8%
Co-morbiditiesPresent16578.6%4521.4%0.003
Not present9764.7%5335.3%
BMI of patientsUnderweight1100.0%00.0%<0.001
Normal11082.7%2317.3%
Overweight13472.0%5228.0%
Obese1742.5%2357.5%
ComplicationsPresent9879.7%2520.3%0.034
Not present16469.2%7330.8%

Discussion

Knowledge of a disease in a patient is a first ladder towards change in behavior. Patient education is of utmost importance in the management of a disease especially when it is a chronic illness like diabetes mellitus.5 This could lead to the empowerment of a patient and thus limit their dependence on clinicians.

This study showed that 27.2% of patients possessed good knowledge about diabetes. As of investigators’ extensive literature review, two studies done using the same assessment tools were found. One of this study done in a hospital with specialist facility in Saudi Arabia by Almalki et al. showed 21.6% of diabetic patients had good knowledge about diabetes.11 However, another study done in Al-Zahraa Teaching Hospital by Taher et al. showed 78.91% had good knowledge about diabetes.12 Although different studies done at different times in Nepal, the United Arab Emirates and Pakistan had shown poor knowledge status, we cannot compare their findings to this study because of differences in assessment tools and ethnic groups.1316

This study showed that there was poor knowledge of diabetes among patients with a low level of education. However, this is in contrast with findings by Taher et al. which showed no significant association between education level and knowledge status.12 This difference in finding could be because the study by Taher et al. was done in the teaching hospital where the participants got advice and treatment from specialists who could give individualized education.12 The fact that this study was conducted at a government hospital where there was a high patient load and a lack of diabetic specialists and trained staff might have contributed to less time for effective individualized counselling and ultimately low knowledge status among the patients. This study also found that being a housewife, and unemployed, was significantly associated with poor knowledge. However, Taher et al. found that there was no significant association between employment and knowledge status.12 This suggests that physicians, while counseling, should focus more on patients with poor education, housewives, and unemployed patients.

A study by Taher et al. showed a significant association between type of medication used and good knowledge, but this study showed no significant association between type of medication used with knowledge status. Younger patients and patients diagnosed with diabetes mellitus recently had good knowledge of diabetes. Similar findings were reported from Almalki et al.11 This may be due to the curiousness about the diagnosis among these patient groups.

The three most common right responses in this study were similar to that of Taher et al.12 and this might have occurred because these questionnaires are also related to other common chronic diseases like hypertension and obesity. The fact that the complications, co-morbidities, and BMI were associated with poor knowledge suggest that physicians had difficulties in providing the patients with the sufficient information about diabetes mellitus. Clinicians should be aware of the patient’s level of knowledge related to diabetes, and educate them accordingly. In addition to it, different levels of government should go hand in hand to raise awareness regarding diabetes through integration of diabetic programs with other health programs, by implementing dedicated diabetic awareness programs, and diabetes self-management education and support (DSMES) programs. Also, patient knowledge of diabetes mellitus may be increased through government-launched programs for information dissemination about diabetes mellitus using various social media platforms, continuing medical education for doctors on diabetes mellitus, and training female community health volunteers to provide diabetes-related knowledge.

The findings of this study represents the people with diabetes mellitus in Nawalparasi district and might be generalized to people in other districts in Nepal with similar characteristics. As our study was conducted in a single government hospital, we recommend collective inclusion of primary health care centers, government hospitals and private hospitals for further similar studies.

Conclusion

The majority of the patients with diabetes mellitus had poor knowledge about diabetes, and the level of knowledge was affected by these factors; age, level of education, occupation, family history, duration of diabetes mellitus, presence of co-morbidities, complications and BMI. This study shows that there is a need to implement and/or strengthen diabetes awareness and DSMES programs at the Madhyabindu Hospital and targeted communities.

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how to cite this article
Adhikari D, Dhonju K, Aryal E et al. Assessment of the level of knowledge about diabetes mellitus among diabetic patients: A cross-sectional study from Nepal [version 1; peer review: 1 approved with reservations, 1 not approved]. F1000Research 2023, 12:415 (https://doi.org/10.12688/f1000research.131307.1)
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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Key to Reviewer Statuses VIEW
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
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Reviewer Report 23 Oct 2023
Irene Baroni, Clinical Research Service, Gruppo Ospedaliero San Donato, Milan, Lombardy, Italy 
Not Approved
VIEWS 10
Introduction:
  • "Diabetes mellitus is a preventable...disease" seems incorrect because the most common form of DM, Type-2 diabetes, could often (not always) have been prevented. Please justify or rectify what has been written. 
     
  • Please
... Continue reading
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Baroni I. Reviewer Report For: Assessment of the level of knowledge about diabetes mellitus among diabetic patients: A cross-sectional study from Nepal [version 1; peer review: 1 approved with reservations, 1 not approved]. F1000Research 2023, 12:415 (https://doi.org/10.5256/f1000research.144139.r209512)
NOTE: 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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10
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Reviewer Report 12 Jun 2023
Bishnu Pathak, Nepalese Army Institute of Health Sciences, Kathmandu, Central Development Region, Nepal 
Approved with Reservations
VIEWS 10
This is a hospital-based cross-sectional study from Nepal that aims to find out the level of knowledge about Diabetes Mellitus among diabetic patients. The researchers found out that the level of knowledge was low (only 27.2% had good knowledge of ... Continue reading
CITE
CITE
HOW TO CITE THIS REPORT
Pathak B. Reviewer Report For: Assessment of the level of knowledge about diabetes mellitus among diabetic patients: A cross-sectional study from Nepal [version 1; peer review: 1 approved with reservations, 1 not approved]. F1000Research 2023, 12:415 (https://doi.org/10.5256/f1000research.144139.r176841)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.

Comments on this article Comments (0)

Version 1
VERSION 1 PUBLISHED 18 Apr 2023
Comment
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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