RESUMEN
Diversified antiretroviral therapy (ART) approach is needed in methods that were acceptable to communities and maintain good viral suppression outcomes to reach the UNAIDS targets to end the HIV/AIDS epidemic by 2030. Ethiopia is fully implementing differentiated service delivery (DSD) approaches, appointment spacing, and standard care. This study aimed to determine the time to HIV virological failure and its predictors among patients with a DSD model. An institution-based retrospective cohort study was conducted with data collection dates ranging from May 1, 2021, to May 30, 2021. All adult HIV-positive patients (n = 2,148) between January 2018 and January 2021 were a source population. Data were extracted using a standard checklist by trained data collectors and entered into EpiData, exported to SPSS version 20 for data management, and then exported to R Studio version 1.4 for analysis. Kaplan-Meier survival curves, the log-rank test, and Cox proportional hazard regression models were employed. The incidence of virological failure was 86 per 10,000 person-months. The independent predictors for the hazard of virological failure were being on standard care [adjusted hazard ratios (AHR) = 1.91; 95% confidence interval (CI) 1.07-3.40], primarily educated (AHR = 3.46; 95% CI 1.02-11.72), having no education (AHR = 3.45; 95% CI 1.01-11.85), and ambulatory status at baseline (AHR = 1.81; 95% CI 1.06-3.09). Patients who had a viral load with a detectable range from 50 to 999 at engagement (AHR = 2.65; 95% CI 1.33-5.27) and a 1-month increase in ART for HIV patients (AHR = 1.045; 95% CI 1.01-1.09). The incidence of virological failure was 86 per 10,000 person-months, whereas the incidences were 52 per 10,000 person-months and 71 per 10,000 person-months on appointment spacing model and standard care, respectively, with independent predictors: patient category, educational status, baseline functional status, viral load at engagement, and duration of ART.
RESUMEN
INTRODUCTION: Coronavirus disease 2019 (COVID-19) is an emerging respiratory infections and is known to cause illness ranging from the common cold to severe acute respiratory syndrome. At present, the disease has been posing a serious threat to the communities, and it is critical to know the communities' level of adherence on COVID-19 prevention measures. Thus, this study aimed to identify the predictors of adherence to COVID-19 prevention measure among communities in North Shoa zone, Ethiopia by using a health belief model. METHODS: Community-based cross-sectional study design was employed. A total of 683 respondents were interviewed using a structured and pre-tested questionnaire. The data were collected by using a mobile-based application called "Google form." Logistic regression was performed to analyze the data. Estimates were reported in adjusted odds ratios with 95% confidence intervals (CI) and a significant association was declared at p-value of less than 0.05. RESULT: The overall adherence level of the community towards the recommended safety measures of COVID-19 was 44.1%. Self-efficacy (AOR = 0.23; 95% 0.14, 0.36), perceived benefits (AOR = 0.35; 95% 0.23, 0.56), perceived barriers (AOR = 3.36; 95% 2.23, 5.10), and perceived susceptibility of COVID-19 (AOR = 1.60; 95% 1.06, 2.39) were important predictors that influenced the adherence of the community to COVID-19 preventive behaviors. CONCLUSIONS: In this study, the overall adherence level of the community towards the recommended safety measures of COVID-19 was relatively low. It is vital to consider the communities' self-efficacy, perceived benefits, perceived barriers and perceived susceptibility of COVID-19 in order to improve the adherence of the community towards the recommended safety measures of COVID-19.