Keywords
chronic disease, non-communicable disease, diabetes mellitus, knowledge, Revised Michigan Diabetes Knowledge Scale, health education, prevention, Nepal
chronic disease, non-communicable disease, diabetes mellitus, knowledge, Revised Michigan Diabetes Knowledge Scale, health education, prevention, Nepal
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.5–7 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.
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.
The sample size of the study was 360 which was calculated as follow:
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%)
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.
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 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.
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
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.
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.
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.
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.
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.
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.
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.13–16
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.
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.
Figshare: Assessment of the level of knowledge about diabetes mellitus among diabetic patients: A cross-sectional study from Nepal. DOI: https://doi.org/10.6084/m9.figshare.22039781.v2. 17
The project contains the following underlying data:
• Working dataset.sav: Data set with quantitative data on age, gender, marital status, education, occupation, family history, duration, co-morbidity, BMI, complications, duration of disease.
Data are available under the terms of the Creative Commons Zero “No rights reserved” data waiver (CC0 1.0 Public domain dedication).
Figshare: Assessment of the level of knowledge about diabetes mellitus among diabetic patients: A cross-sectional study from Nepal. DOI: https://doi.org/10.6084/m9.figshare.22332412.v1. 18
The project contains the following extended data:
• Data file 1: English and translated Nepali version of questionnaire.docx (Socio-demographics and Revised Michigan Diabetes Knowledge Scale True/False version of questionnaire in English and Nepali format)
• Data file 2: English and Nepali version of informed consent form.docx
Data are available under the terms of the Creative Commons Zero “No rights reserved” data waiver (CC0 1.0 Public domain dedication).
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Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
No
Are sufficient details of methods and analysis provided to allow replication by others?
No
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
Partly
Are the conclusions drawn adequately supported by the results?
Partly
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: education and diabetes
Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: I am a Primary Care Physician particularly interested in non-communicable disease with special interest in Cardiology.
Alongside their report, reviewers assign a status to the article:
Invited Reviewers | ||
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Version 1 18 Apr 23 |
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