Factors associated with ART adherence among HIV-positive adherence club members in Ekurhuleni Metropolitan Municipality, South Africa: A cross-sectional study.

BACKGROUND: HIV is a leading cause of morbidity and mortality in South Africa that can be managed using antiretroviral therapy (ART). Adherence clubs are interventions that have been introduced to decentralize ART to improve ART adherence and provide social support for club members. However, ART adherence can be suboptimal even among adherence club members. AIM: This study aimed to determine the factors affecting ART adherence among people living with HIV/AIDS (PLWHA) attending adherence clubs in Ekurhuleni Metropolitan Municipality. METHODS: A cross-sectional study was conducted. Ordinal logistic regression was used in univariable and multivariable analyses to determine factors significantly associated with adherence scores. Factors included in the final model were age, comorbidity, ART regimen and club membership duration. RESULTS: The records of 730 participants were analysed. After adjusting for age, participants with comorbidities were half as likely to report high ART adherence scores compared to participants without comorbidities (AOR = 0.5, 95% CI: 0.3-0.8, p = 0.005). The adjusted odds of reporting high levels of adherence among participants on cART were 1.8 times those on a single tablet regimen (AOR = 1.8, 95% CI: 1.0-3.2; p = 0.033). There was a 20% reduction in the adjusted odds of reporting high ART adherence for each additional year of adherence club membership (AOR = 0.8, 95% CI: 0.8-0.9, p<0.001). CONCLUSION: Increasing years spent as adherence club members, single tablet ART regimens and the presence of comorbidities were all significantly associated with low ART adherence among study participants. Regular assessment of the quality of counselling sessions for ART adherence club members and questionnaires for early screening of treatment fatigue have been suggested as tools for improved adherence in ART adherence club settings.

An Assessment of Systemic Factors and COVID-19 Mortality in Africa.

Objectives: The objective of this study was to examine the association between several country-level systemic indices and the deaths from COVID-19 across African countries. Method: Regression analyses were conducted to test the association between selected indices and deaths from COVID-19 across African countries. All tests were run at the α = 0.05 level of significance. Result: We found a statistically significant correlation between total COVID-19 deaths per million and Stringency Index (p-value <0.001) and Human Development Index (p-value <0.001). Multiple regression analysis showed that Stringency Index was the only variable that remained significant when other factors are controlled for in the model. Conclusion: Countries in Africa with poorer governance, inadequate pandemic preparedness and lower levels of development have unexpectedly fared better with respect to COVID-19 deaths mainly because of having a younger population than the countries with better indices.