ArticleScientific reports2023
Cascade of diabetes care in Bangladesh, Bhutan and Nepal: identifying gaps in the screening, diagnosis, treatment and control continuum.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Implementation fidelity to the World Health Organization package of essential non-communicable disease interventions (PEN) during scale-up in Nepal's primary healthcare system: a mixed methods study.Implementation science communications · 2026Article
- Effect of health education on foot care knowledge and practice of patients with type 2 diabetes in rural Bangladesh.BMC primary care · 2026Article
- Cascade of care for type 2 diabetes mellitus and hypertension in rural Bangladesh: sub-regional mapping of gaps in care.BMJ public health · 2026Article
- Article
- Healthcare Cost Coverage and Hypertension and Diabetes Care Step Movement: A Five-Year Follow-Up Study in a Malaysian Semi-Rural Community.Health science reports · 2025Article
- The pattern of diabetic care and glycemic control among the ambulatory diabetic patients in tertiary care settings in Bangladesh.Scientific reports · 2024Article
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Abstract
Diabetes has become a major cause of morbidity and mortality in South Asia. Using the data from the three STEPwise approach to Surveillance (STEPS) surveys conducted in Bangladesh, Bhutan, and Nepal during 2018-2019, this study tried to quantify the gaps in diabetes screening, awareness, treatment, and control in these three South Asian countries. Diabetes care cascade was constructed by decomposing the population with diabetes (diabetes prevalence) in each country into five mutually exclusive and exhaustive categories: (1) unscreened and undiagnosed, (2) screened but undiagnosed, (3) diagnosed but untreated, (4) treated but uncontrolled, (5) treated and controlled. In Bangladesh, Bhutan, and Nepal, among the participants with diabetes, 14.7%, 35.7%, and 4.9% of the participants were treated and controlled, suggesting that 85.3%, 64.3%, and 95.1% of the diabetic population had unmet need for care, respectively. Multivariable logistic regression models were used to explore factors associated with awareness of the diabetes diagnosis. Common influencing factors for awareness of the diabetes diagnosis for Bangladesh and Nepal were living in urban areas [Bangladesh-adjusted odd ratio (AOR):2.1; confidence interval (CI):1.2, 3.6, Nepal-AOR:6.2; CI:1.9, 19.9].
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