Healthcare cost of type 2 diabetes mellitus in Bangladesh: a hospital-based study

The Economic Burden of Type 2 Diabetes Mellitus in Pakistan: A Cost of Illness Study

BACKGROUND

Type 2 Diabetes Mellitus (T2DM) is a highly prevalent disease with a chronic nature and poses a significant health burden worldwide, with no exception in Pakistan. Hence, this study aimed to explore the financial burden of T2DM in Pakistan through cost of illness analysis.

METHODS

A prevalence-based, cross-sectional study was conducted using a structured data collection tool from the patient's perspective. Through structured interviews by trained data collectors, the data regarding direct medical costs, direct non-medical costs, and indirect costs were collected and further verified through prescriptions and bills. After testing the normality of data, mean and median with interquartile range were used to present cost data, while non-parametric tests, i.e., the Mann-Whitney U test and the Kruskal-Wallis test, were used to assess factors associated with costs, as cost data were not normally distributed.

RESULTS

The study included 522 participants, with a majority being female (54%) and aged between 41 and 60 years (64%). The mean annual total cost per patient was USD 235.1 (median = USD 162.8), comprising direct medical costs, 93.2% (mean = USD 219.2; median = USD 150.0), direct non-medical costs, 5.3% (mean = USD 12.4; median = USD 7.1), and indirect costs, 1.5% (mean = USD 3.5; median = USD 1.9). Costs were significantly higher for patients with advanced age, high literacy, higher household incomes, duration of diabetes, more than one complication, and using combination therapy.

CONCLUSIONS

The economic burden of T2DM in Pakistan is substantial, with medication costs being the largest component. Effective management strategies and policy interventions are crucial to mitigate this burden and improve the economic and health outcomes for diabetic patients.

Prevalence of, and risk factors for, diabetes and prediabetes in Bangladesh: Evidence from the national survey using a multilevel Poisson regression model with a robust variance

To estimate the age-standardized prevalence of diabetes and prediabetes and identify factors associated with these conditions at individual, household, and community levels. Data from 11952 Bangladeshi adults aged 18-95 years available from the most recent Bangladesh Demographic and Health Survey 2017-18 were used. Anthropometric measurements and fasting blood glucose samples were taken as part of the survey. Prevalence estimates of diabetes and prediabetes were age-standardized with direct standardization, and risk factors were identified using multilevel mix-effects Poisson regression models with robust variance. The overall age-standardised prevalence of diabetes was 9.2% (95%CI 8.7-9.7) (men: 8.8%, women: 9.6%), and prediabetes was 13.3% (95%CI 12.7-13.9) (men: 13.0%, women: 13.6%). Among people with diabetes, 61.5% were unaware that they had the condition. 35.2% took treatment regularly, and only 30.4% of them had controlled diabetes. Factors associated with an increased prevalence of having diabetes were increasing age, male, overweight/obesity, hypertension, being in the highest wealth quintile, and living in the Dhaka division. People currently employed and living in the Rangpur division were less likely to have diabetes than those currently not employed and living in the Barishal division. Diabetes and prediabetes affect a substantial proportion (over one-quarter) of the Bangladeshi adult population. Continuing surveillance and effective prevention and control measures, focusing on obesity reduction and hypertension management, are urgently needed.

Chy NU, Alam N, Rana MM, Chowdhury NA, Hasan MM. The relationship between medical comorbidities and health-related quality of life among adults with type 2 diabetes: The experience of different hospitals in southern Bangladesh

Objective

Health-related quality of life (HRQoL) is a critical determinant to assess the severity of chronic diseases like diabetes mellitus. It has a close association with complications, comorbidities, and medical aid. This study aimed to estimate the prevalence of medical comorbidities and determine the relationship between comorbidities and HRQoL among type 2 diabetic patients of southern Bangladesh.

Method

This study was a cross-sectional study conducted through face to face interviews using a pre-tested structured questionnaire and by reviewing patient’s health records with prior written consent. The study was conducted on 2,136 patients with type 2 diabetes attending five hospitals of Chattogram, Bangladesh, during the tenure of November 2018 to July 2019. Quality of life was measured using the widely-used index of EQ-5D that considers 243 different health states and uses a scale in which 0 indicates a health state equivalent to death and 1 indicates perfect health status. The five dimensions of the quality index included mobility, self-care, usual activities, pain or discomfort, and anxiety or depression.

Results

Patients with three comorbidities and with four or more comorbidities had a higher probability of reporting “extreme problem” or “some problem” in all five dimensions of the EQ-5D index compared with those without comorbidity (Odds ratio: mobility, 3.99 [2.72–5.87], 6.22 [3.80–10.19]; usual activity, 2.67 [1.76–4.06], 5.43 [3.28–8.98]; self-care, 2.60 [1.65–4.10], 3.95 [2.33–6.69]; pain or discomfort, 2.22 [1.48–3.33], 3.44 [1.83–6.45]; anxiety or depression, 1.75 [1.07–2.88], 2.45 [1.19–5.04]). The number of comorbidities had a negative impact on quality of life.

Conclusion

Prevalent comorbidities were found to be the significant underlying cause of declined HRQoL. To raise diabetes awareness and for better disease management, the exposition of comorbidities in regards to HRQoL of people with diabetes should be considered for type 2 diabetes management schemas.

Health-related quality of life and its predictors among the type 2 diabetes population of Bangladesh: A nation-wide cross-sectional study

AIMS/INTRODUCTION

We aimed to assess the health-related quality of life (HRQoL) and identify its predictors among type 2 diabetes patients of Bangladesh.

MATERIALS AND METHODS

This nationwide cross-sectional study assessed HRQoL among 1,806 type 2 diabetes patients using the EuroQol-5 Dimensions Questionnaire (EQ-5D-5L), and the responses were further translated into a single summary crosswalk index score using the UK time trade-off value set. The predictors were determined using multinomial logistic regression analysis.

RESULTS

The mean EQ-5D-5L index score was 0.62 (standard deviation 0.25), and men scored better than women. More than half of the study participants (53.4%) were ranked as "average" HRQoL. Overall, 64% of respondents had a "problem" at least in one of the dimensions of the EQ-5D-5L, and the burden of reported "problems" was higher among women (70%). Among the five dimensions, the highest reported "problem" was 79.8% for anxiety/depression, 77.7% for pain/discomfort and 60.1% for mobility. However, younger participants (aged <30 years) showed a higher burden of anxiety/depression (95%) compared with the rest of the population. The specific predictors of average/good HRQoL (odds ratio >1) were being men, living in a rural area, married, literate, a monthly income >19,488 BDT, absence of comorbidity and had a duration of diabetes ≤5 years.

CONCLUSIONS

The majority of Bangladesh's type 2 diabetes patients had an "average" HRQoL based on the EQ-5D-5L index score. In broad terms, the identified predictors were sex, place of residence, marital status, literacy, monthly income, comorbidity and duration of diabetes.

Effect of comorbidities on direct cost among type 2 diabetes mellitus (T2DM) patients in tertiary care government hospital in Uttarakhand, India: A primary data analysis of out of pocket expenditure

BACKGROUND AND AIMS

The objective of present study was to estimate and compare the direct cost between diabetics and age and gender matched non-diabetics. It also aimed to estimate and compare the effect of various comorbidities on direct cost between cases and controls, while simultaneously trying to determine the predictors of direct cost among T2DM patients.

METHODS

A hospital-based pair matched case-control study was conducted in a tertiary care hospital in Garhwal division of Uttarakhand, India to accomplish the objectives of study. Regression analysis was applied to determine the predictors of direct cost among diabetics.

RESULTS

Mean annual direct cost among diabetics was estimated to be US$ 104.6 (Indian Rupees (INR) 7338.9)) in comparison to US$ 27.8 (INR 1905.8) among non-diabetics. The total cost among cases was significantly higher than controls, if they had comorbidities from CVS, nervous, ophthalmic, respiratory and musculoskeletal system. Gender, education, duration of diabetes and number of comorbidities were significant predictors in estimating the direct cost among cases. For each one-year increase in duration of diabetes, direct cost increased by 13.1 unit.

CONCLUSIONS

The study provides us conclusive evidence of significantly higher expenditure among diabetics in comparison to non-diabetics. An effect on direct cost among diabetics was observed with types and increasing number of comorbidities.

A hospital-based study on complementary and alternative medicine use among diabetes patients in Rajshahi, Bangladesh

Background

The use of complementary and alternative medicine (CAM) among type 2 diabetes mellitus (T2DM) patients is increasing worldwide. It can affect optimum glycemic management. This study was to determine the rate and influencing factors of CAM use among diabetes patients as well as their effect on glycemic control.

Methods

This cross-sectional study was conducted among T2DM patients attending the outpatient department of Rajshahi Medical College Hospital. It is a tertiary hospital in the northern part of Bangladesh. A face-to-face interview with a pretested structured questionnaire was used for data collection. Chi-square (χ²) test and multivariate logistic regression model were used in this study for data analysis.

Results

Out of 244 T2DM patients, 86 (35.2%) used CAM. Multivariate logistic regression model showed that lower family income group (AOR = 8.7, 95% CI: 2.15–35.22, p-value 0.002), having no institutional education (AOR = 3.4, 95% CI: 1.17–9.87, p-value 0.025) and having diabetes for more than five years (AOR = 2.821, 95% CI: 1.34–5.94, p-value 0.006) were the most influential predictors of CAM use. The most commonly used CAMs were herbal products (67.4%) and homeopathic medicine (37.2%). Most of the CAM users (72%) were influenced by friends, neighbors, and family members. The most common reasons behind CAM use were reported to be the belief that CAM helped control diabetes better (44.2%) and easy availability and lower cost (27.9%). More than half of the users reported the efficacy of CAM as ‘nothing significant’, while others reported as somewhat good. 14% of CAM users experienced side-effects, especially gastrointestinal upset. It was observed that using CAM was associated with poor glycemic control (AOR = 2.25, 95% CI: 1.14–4.44, p-value 0.018).

Conclusion

Our study demonstrated that some modifiable factors are associated with the use of CAM, and it cannot maintain good glycemic control. So, patients should be made aware of the ineffectiveness and bad effects of CAM by enhancing educational and poverty-alleviating programs.

Type 2 diabetes mellitus in Bangladesh: a prevalence based cost-of-illness study

BACKGROUND

The economic burden of type 2 diabetes has not been adequately investigated in many low- and lower middle-income countries, including Bangladesh. The aim of this study was to estimate the cost-of-illness of type 2 diabetes and to find its determinants in Bangladesh.

METHODS

A cross-sectional study was conducted in 2017 to recruit 1253 participants with type 2 diabetes from six diabetes hospitals, providing primary to tertiary health care services, located in the northern and central regions of Bangladesh. A structured questionnaire was used for face-to-face interviewing to collect non-clinical data. Patients' medical records were reviewed for clinical data and hospital records were reviewed for hospitalisation data. Cost was calculated from the patient's perspective using a bottom-up methodology. The direct costs for each patient and indirect costs for each patient and their attendants were calculated. The micro-costing approach was used to calculate direct cost and the human capital approach was used to calculate indirect cost. Median regression analysis was performed to identify the determinants of average annual cost.

RESULTS

Among the participants, 54% were male. The mean (±SD) age was 55.1 ± 12.5 years and duration of diabetes was 10.7 ± 7.7 years. The average annual cost was US$864.7 per patient. Medicine cost accounted for 60.7% of the direct cost followed by a hospitalisation cost of 27.7%. The average annual cost for patients with hospitalisation was 4.2 times higher compared to those without hospitalisation. Being females, use of insulin, longer duration of diabetes, and presence of diabetes complications were significantly related to the average annual cost per patient.

CONCLUSIONS

The cost of diabetes care is considerably high in Bangladesh, and it is primarily driven by the medicine and hospitalisation costs. Optimisation of diabetes management by positive lifestyle changes is urgently required for prevention of comorbidities and complications, which in turn will reduce the cost.