Aims To assess the determinants of glycaemic control among patients with Type 2 diabetes mellitus (T2DM) presenting at the Greater Accra Regional Hospital, Ghana. Methods The study employed semi-structured questionnaires and review of clinical records of patients 16 years and above with Type 2 Diabetes. Results The mean age of participants was 56.6 ± 13.8 years, with majority (71.6%) being females. A total of 161 (59.4%) of patients had poor glycaemic control (HbA1c ≥8.1%; 95% CI: 53.6 to 65.3%). Poor glycaemic control was significantly associated with high body mass index of the patient (AOR 13.22; 95% CI: 1.95 to 89.80), having only elementary education (AOR 5.22, 95% CI 2.12–12.86, p<0.0001) and being on insulin therapy (AOR 2.88; 95% CI: 1.05 to 7.88). On the other hand, seldom coffee intake (AOR: 0.27; 95% CI: 0.11 to 0.64), high physical activity (AOR 1.57, 95% CI 1.06–2.35, p = 0.025) and having a cardiovascular disease (AOR: 0.15; 95% CI: 0.05 to 0.46) appeared to positively influence glycaemic control. Self-monitoring of blood glucose and diet interventions did not appear to influence glycaemic control. Conclusions The study results showing that a high proportion of patients attending the Diabetes Clinic with uncontrolled diabetes has serious implications for the management of T2DM diabetes as it suggests that current hospital-based treatment measures are less effective. Comprehensive management of T2DM targeting all the key factors identified in this study and incorporating a multispectral collaborative effort based on holistic approach, combined with non-pharmacological components are strongly warranted.

The health and economic burdens of HIV/AIDS in low-and-middle-income countries are enormous despite global and local efforts to prevent and mitigate its effect. This study seeks to assess cadres’ (or people living with HIV [PLHIV]) health-seeking behavior and its effects on their quality of life (QoL). We collected cross-sectional data from 218 HIV community cadres and 255 noncadres in 11 out of the 16 political regions in Ghana based on a modified WHOQOL-HIV-Brief and EQ-5D questionnaires. We used descriptive statistics to describe the sample and calculate the QoL scores. We also used regression analysis (ordered logit and ordinary least squares) to analyze the factors associated with the QoL of our respondents. We found that women (77%) are still disproportionally affected by HIV. Similarly, the youth, less educated and informal sector employees continue to be affected most by HIV. Factors related to QoL of PLHIV include being a community cadre, health-seeking behavior, comorbidities, and employment type. We recommend that alternative health providers be educated on the basic science of HIV/AIDS to help them offer appropriate support to PLHIV who visit them for care. Additionally, PLHIV should be supported to engage in less energy demanding employment options.

Background In Ghana, tuberculosis (TB) case detection is low (< 34%). Existing scientific evidence suggest access to TB diagnostic tests play an essential role in TB case detection, yet little has been scientifically documented on it in Ghana. This study, therefore, sought to map TB diagnosis sites, and describe the geographic availability and physical accessibility to TB diagnosis in six regions of Ghana to inform scale-up and future placement of TB diagnostic tests. Methods We assembled the geolocation and attribute data of all health facilities offering TB diagnosis in Upper West Region (UWR), Upper East Region (UER), Ahafo, North-East, Northern, and Savannah regions. QGIS was employed to estimate the distance and travel time to TB diagnosis sites within regions. Travel time estimates were based on assumed motorised tricycle speed of 20 km (km)/hour. Results Of the total 1584 health facilities in the six regions, 86 (5.4%) facilities were providing TB diagnostic testing services. This 86 TB diagnosis sites comprised 56 (65%) microscopy sites, 23 (27%) both microscopy and GeneXpert sites, and 7 (8%) GeneXpert only sites (8%). Of the 86 diagnosis sites, 40 (46%) were in the UER, follow by Northern Region with 16 (19%), 12 (14%) in UWR, 9 (10%) in Ahafo Region, 5 (6%) in North East, and 4 (5%) in Savannah Region. The overall estimated mean distance and travel time to the nearest TB diagnosis site was 23.3 ± 13.8 km and 67.6 ± 42.6 min respectively. Savannah Region recorded the longest estimated mean distance and travel time with 36.1 ± 14.6 km and 108.3 ± 43.9 min, whilst UER recorded the shortest with 10.2 ± 5.8 km and 29.1 ± 17.4 min. Based on a 10 km buffer of settlement areas, an estimated 75 additional TB diagnosis sites will be needed to improve access to TB diagnosis services across the six regions. Conclusion This study highlights limited availability of TB diagnosis sites and poor physical accessibility to TB diagnosis sites across five out of the six regions. Targeted implementation of additional TB diagnosis sites is needed to reduce travel distances to ≤ 10 km.