Poor Glycemic Control in East Africa: Prevalence, Risk Factors and Public Health Implications in Diabetes Management.
Diabetes mellitus remains a major public health concern in East Africa, and poor glycaemic control continues to drive avoidable complications, deaths and pressure on already stretched health systems.
To estimate the prevalence of poor glycemic control and describe the main factors associated with it among people living with diabetes in East Africa.
This review synthesized evidence from observational studies, cross-sectional surveys and regional health databases identified through PubMed, Scopus and Web of Science, following PRISMA guidance. Sociodemographic, clinical and behavioural indicators were examined to identify common patterns and predictors of poor glycaemic control. The review also considered how measurement approaches shaped reported estimates.
Fifty records were identified across PubMed (10), Scopus (23) and Web of Science (17). After screening, 37 records were eligible for full-text review, and 15 studies met the inclusion criteria for evidence synthesis. Across the region, poor glycemic control was consistently high, ranging from 60% to 85%. Most studies were facility-based and cross-sectional. Glycemic control was assessed mainly using HbA1c, commonly defined as ≥ 7% or > 7.5%, and less frequently by fasting blood glucose, typically ≥ 7.2 mmol/L or > 130 mg/dL. Type 2 diabetes was the dominant population studied, with fewer mixed cohorts and only one study focused on type 1 diabetes. Factors repeatedly linked to poor control included older age, longer duration of diabetes, poor medication adherence, limited access to care, low health literacy, inadequate diabetes education, insulin use, comorbidities, diabetic complications, unhealthy diet, physical inactivity, sedentary behaviour, substance use and limited self-management support.
Poor glycemic control is alarmingly common among people with diabetes in East Africa and reflects intertwined clinical, behavioural and health-system challenges. Region-specific strategies are needed to strengthen primary care, improve diabetes education, expand affordable monitoring and treatment and enhance surveillance to guide policy and resource allocation.
To estimate the prevalence of poor glycemic control and describe the main factors associated with it among people living with diabetes in East Africa.
This review synthesized evidence from observational studies, cross-sectional surveys and regional health databases identified through PubMed, Scopus and Web of Science, following PRISMA guidance. Sociodemographic, clinical and behavioural indicators were examined to identify common patterns and predictors of poor glycaemic control. The review also considered how measurement approaches shaped reported estimates.
Fifty records were identified across PubMed (10), Scopus (23) and Web of Science (17). After screening, 37 records were eligible for full-text review, and 15 studies met the inclusion criteria for evidence synthesis. Across the region, poor glycemic control was consistently high, ranging from 60% to 85%. Most studies were facility-based and cross-sectional. Glycemic control was assessed mainly using HbA1c, commonly defined as ≥ 7% or > 7.5%, and less frequently by fasting blood glucose, typically ≥ 7.2 mmol/L or > 130 mg/dL. Type 2 diabetes was the dominant population studied, with fewer mixed cohorts and only one study focused on type 1 diabetes. Factors repeatedly linked to poor control included older age, longer duration of diabetes, poor medication adherence, limited access to care, low health literacy, inadequate diabetes education, insulin use, comorbidities, diabetic complications, unhealthy diet, physical inactivity, sedentary behaviour, substance use and limited self-management support.
Poor glycemic control is alarmingly common among people with diabetes in East Africa and reflects intertwined clinical, behavioural and health-system challenges. Region-specific strategies are needed to strengthen primary care, improve diabetes education, expand affordable monitoring and treatment and enhance surveillance to guide policy and resource allocation.