Prevalence of Cardiovascular Disease and Risk Factors in Ghana: A Systematic Review and Meta-analysis.

Background: The increasing cardiovascular disease (CVD) burden threatens the global population as the major cause of disability and premature death. Data are scarce on the magnitude of CVD among the population in West Africa, particularly in Ghana. This study examined the available scientific evidence to determine the pooled prevalence (PP) of CVD and risk factors in Ghana. Methods: We searched electronic databases such as PubMed, Google Scholar, the Cochrane Library, Science Direct and Africa Journal Online databases to identify literature published from the start of the indexing of the database to 10th February 2023. All articles published in the English language that assessed the prevalence of CVD or reported on CVD in Ghana were included. Two authors independently performed the study selection, assessed the risk of bias, extracted the data and checked by the third author. The effect sizes and pooled odds ratio (POR) were determined using the random-effects DerSimonian-Laird (DL) model. Result: Sixteen studies with 58912 participants from 1954 to 2022 were included in the meta-analysis. Six studies out of 16 reported more than one prevalence of CVD, giving a total of 59 estimates for PP. The PP of CVD in the general population in Ghana was 10.34% (95% Cl: [8.48, 12.20]; l2 99.54%, p < 0.001). Based on the subgroup analysis, the prevalence of CVD was higher in hospital-based settings at 10.74% (95%, confidence interval [Cl]: 8.69, 12.79) than in community-based settings at 5.04% (95% Cl: 2.54, 7.53). The risk factors were male gender (pooled odds ratio [POR]: 1.66; 95% CI: 1.02, 2.70), old age (POR: 1.32; 95% CI: 1.21, 1.45), unemployment (POR: 2.62; 95% CI: 1.33, 5.16), diabetes (POR: 2.79; 95% CI: 1.62, 4.81) and hypertension (POR: 3.41; 95% CI: 1.75, 6.66). Conclusion: The prevalence of CVD was high in Ghana. Urgent interventions are needed for the prevention and management of the high burden of CVD and its risk factors.

Assessing the Effectiveness of mHealth Interventions for Diabetes and Hypertension Management in Africa: Systematic Review and Meta-Analysis.

Background: Mobile health (mHealth) interventions are effective in improving chronic disease management, mainly in high-income countries. However, less is known about the efficacy of mHealth interventions for the reduction of cardiovascular risk factors, including for hypertension and diabetes, which are rapidly increasing in low- and middle-income countries. Objective: This study aimed to assess the efficacy of mHealth interventions for diabetes and hypertension management in Africa. Methods: We searched PubMed, Cochrane Library, Google Scholar, African Journals Online, and Web of Science for relevant studies published from inception to July 2022. The main outcomes of interest were changes in hemoglobin A1c (HbA1c), systolic blood pressure, and diastolic blood pressure. The random or fixed effect model was used for the meta-analysis, and the I2 statistic was used to gauge study heterogeneity. Z tests and P values were used to evaluate the effect of mHealth interventions on HbA1c and blood pressure levels. Results: This review included 7 studies (randomized controlled trials) with a total of 2249 participants. Two studies assessed the effect of mHealth on glycemic control, and 5 studies assessed the effect of mHealth on blood pressure control. The use of mHealth interventions was not associated with significant reductions in HbA1c levels (weighted mean difference [WMD] 0.20, 95% CI -0.40 to 0.80; P=.51) among patients with diabetes and systolic blood pressure (WMD -1.39, 95% CI -4.46 to 1.68; P=.37) and diastolic blood pressure (WMD 0.36, 95% CI -1.37 to 2.05; P=.69) among patients with hypertension. After conducting sensitivity analyses using the leave-one-out method, the Kingue et al study had an impact on the intervention, resulting in a 2 mm Hg reduction in systolic blood pressure (WMD -2.22, 95% CI -3.94 to -0.60; P=.01) but was nonsignificant for diastolic blood pressure and HbA1c levels after omitting the study. Conclusions: Our review provided no conclusive evidence for the effectiveness of mHealth interventions in reducing blood pressure and glycemic control in Africa among persons with diabetes and hypertension. To confirm these findings, larger randomized controlled trials are required.