Socio-demographic factors associated with medication adherence among People Living with HIV in the Kumasi Metropolis, Ghana.

BACKGROUND: Medication adherence is important to the survival of People Living with HIV (PLHIV) globally. Although, HIV viral load is reduced by antiretroviral therapy (ART), the number of people on ART continues to rise in Ghana. In the Kumasi Metropolis, Ghana, we looked at the socio-demographic factors associated with medication adherence among PLHIV. METHODS: A quantitative study involving 420 PLHIV who sought healthcare at the Kumasi South Regional Hospital was conducted utilizing a cross-sectional study design. We employed a structured questionnaire to collect data on medication adherence using the eight-item Morisky Medication Adherence Scale (MMAS) and socio-demographic factors that influence medication adherence. The data were analysed using Stata 14.2. Frequencies and percentages were used to present the descriptive data. The association between socio-demographic factors and medication adherence among PLHIV was investigated using both univariate and multivariate analyses. RESULTS: More than half (53.10%) of PLHIV adhered to ART. Place of residence was significantly established to be influencing medication adherence among PLHIV. PLHIV who were residing in urban centers (aOR = 3.61; CI = 2.24-5.82) were more likely to adhere to medication as compared to those who resided in rural areas. CONCLUSION: Slightly more than half of PLHIV took their medicines as prescribed. Government and Policymakers such as the Ghana AIDS Commission, Ministry of Health, and Ghana Health Service should incorporate socio-demographic factors such as place of residence while creating and executing medication adherence initiatives to evaluate HIV management regimen for PLHIV.

Socio-economic and proximate determinants of under-five mortality in Guinea.

BACKGROUND: The death of children under-five years is one of the critical issues in public health and improving child survival continues to be a matter of urgent concern. In this paper, we assessed the proximate and socio-economics determinants of child mortality in Guinea. METHODS: Using the 2018 Guinea Demographic and Health Survey (GDHS), we extracted demographic and mortality data of 4,400 children under-five years. Both descriptive and multivariable logistic regression analyses were conducted. RESULTS: Under-five mortality was 111 deaths per 1,000 live births in Guinea. The likelihood of death was higher among children born to mothers who belong to other religions compared to Christians (aOR = 2.86, 95% CI: 1.10-7.41), smaller than average children compared to larger than average children (aOR = 1.97, 95% CI: 1.28-3.04) and those whose mothers had no postnatal check-up visits after delivery (aOR = 1.72, 95% CI: 1.13-2.63). Conversely, the odds of death in children with 2-3 birth rank & >2 years of birth interval compared to ≥4 birth rank and ≤2 years of birth interval were low (aOR = 0.53, 95% CI: 0.34-0.83). CONCLUSION: We found that household/individual-level socioeconomic and proximate factors predict under-five mortality in Guinea. With just about a decade left to the 2030 deadline of the Sustainable Development Goals (SDGs), concerted efforts across all key stakeholders, including government and development partners, need to be geared towards implementing interventions that target these predictors.