Diabetes in sub-Saharan Africa - from policy to practice to progress: targeting the existing gaps for future care for diabetes.

The global prevalence and impact of diabetes has increased dramatically, particularly in sub-Saharan Africa. This region faces unique challenges in combating the disease including lack of funding for noncommunicable diseases, lack of availability of studies and guidelines specific to the population, lack of availability of medications, differences in urban and rural patients, and inequity between public and private sector health care. Because of these challenges, diabetes has a greater impact on morbidity and mortality related to the disease in sub-Saharan Africa than any other region in the world. In order to address these unacceptably poor trends, contextualized strategies for the prevention, identification, management, and financing of diabetes care within this population must be developed. This narrative review provides insights into the policy landscape, epidemiology, pathophysiology, care protocols, medication availability, and health care systems to give readers a comprehensive summary of many factors in these domains as they pertain to diabetes in sub-Saharan Africa. In addition to providing a review of the current evidence available in these domains, potential solutions to address the major gaps in care will be proposed to reverse the negative trends seen with diabetes in sub-Saharan Africa.

Impact of Bridging Income Generation with Group Integrated Care (BIGPIC) on Hypertension and Diabetes in Rural Western Kenya.

BACKGROUND: Rural settings in Sub-Saharan Africa (SSA) consistently report low participation in non-communicable disease (NCD) treatment programs and poor outcomes. OBJECTIVE: The objective of this study is to assess the impact of the implementation of a patient-centered rural NCD care delivery model called Bridging Income Generation through grouP Integrated Care (BIGPIC). DESIGN: The study prospectively tracked participation and health outcomes for participants in a screening event and compared linkage frequencies to a historical comparison group. PARTICIPANTS: Rural Kenyan participants attending a voluntary NCD screening event were included within the BIGPIC model of care. INTERVENTIONS: The BIGPIC model utilizes a contextualized care delivery model designed to address the unique barriers faced in rural settings. This model emphasizes the following steps: (1) find patients in the community, (2) link to peer/microfinance groups, (3) integrate education, (4) treat in the community, (5) enhance economic sustainability and (6) generate demand for care through incentives. MAIN MEASURES: The primary outcome is the linkage frequency, which measures the percentage of patients who return for care after screening positive for either hypertension and/or diabetes. Secondary measures include retention frequencies defined as the percentage of patients remaining engaged in care throughout the 9-month follow-up period and changes in systolic (SBP) and diastolic blood pressure (DBP) and blood sugar over 12 months. KEY RESULTS: Of the 879 individuals who were screened, 14.2 % were confirmed to have hypertension, while only 1.4 % were confirmed to have diabetes. The implementation of a comprehensive microfinance-linked, community-based, group care model resulted in 72.4 % of screen-positive participants returning for subsequent care, of which 70.3 % remained in care through the 12 months of the evaluation period. Patients remaining in care demonstrated a statistically significant mean decline of 21 mmHg in SBP [95 % CI (13.9 to 28.4), P < 0.01] and 5 mmHg drop in DBP [95 % CI (1.4 to 7.6), P < 0.01]. CONCLUSIONS: The implementation of a contextualized care delivery model built around the unique needs of rural SSA participants led to statistically significant improvements in linkage to care and blood pressure reduction.

The Revolving Fund Pharmacy Model: backing up the Ministry of Health supply chain in western Kenya.

OBJECTIVES: A pressing challenge in low and middle-income countries (LMIC) is inadequate access to essential medicines, especially for chronic diseases. The Revolving Fund Pharmacy (RFP) model is an initiative to provide high-quality medications consistently to patients, using revenues generated from the sale of medications to sustainably resupply medications. This article describes the utilization of RFPs developed by the Academic Model Providing Access to Healthcare (AMPATH) with the aim of stimulating the implementation of similar models elsewhere to ensure sustainable access to quality and affordable medications in similar LMIC settings. METHODS: The service evaluation of three pilot RFPs started between April 2011 and January 2012 in select government facilities is described. The evaluation assessed cross-sectional availability of essential medicines before and after implementation of the RFPs, number of patient encounters and the impact of community awareness activities. FINDINGS: Availability of essential medicines in the three pilot RFPs increased from 40%, 36% and <10% to 90%, 94% and 91% respectively. After the first year of operation, the pilot RFPs had a total of 33 714 patient encounters. As of February 2014, almost 3 years after starting up the first RFP, the RFPs had a total of 115 991 patient encounters. In the Eldoret RFP, community awareness activities led to a 51% increase in sales. CONCLUSIONS: With proper oversight and stakeholder involvement, this model is a potential solution to improve availability of essential medicines in LMICs. These pilots exemplify the feasibility of implementing and scaling up this model in other locations.

Symptoms of depression among patients attending a diabetes care clinic in rural western Kenya.

OBJECTIVE: The prevalence of diabetes in sub-Saharan Africa is rising, but its relationship to depression is not well-characterized. This report describes depressive symptom prevalence and associations with adherence and outcomes among patients with diabetes in a rural, resource-constrained setting. METHODS: In the Webuye, Kenya diabetes clinic, we conducted a chart review, analyzing data including medication adherence, hemoglobin A1c (HbA1c), clinic attendance, and PHQ-2 depression screening results. RESULTS: Among 253 patients, 20.9% screened positive for depression. Prevalence in females was higher than in males; 27% vs 15% (p = 0.023). Glycemic control trends were better in those screening negative; at 24 months post-enrollment mean HbA1c was 7.5 for those screening negative and 9.5 for those screening positive (p = 0.0025). There was a nonsignificant (p = 0.269) trend toward loss to follow-up among those screening positive. CONCLUSIONS: These findings suggest that depression is common among people with diabetes in rural western Kenya, which may profoundly impact diabetes control and treatment adherence.