College of Medicine and Health Science

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    INCIDENCE AND PREDICTORS OF LOSS TO FOLLOW UP AMONG ADULTS ON ANTIRETROVIRAL THERAPY AT PUBLIC HEALTH FACILITIES IN HAWASSA, SIDAMA REGION, ETHIOPIA, 2024
    (hawassa universty, 2024-06) RUTH TESFAYE
    Background: Despite significant progress in treatment and prevention, the global HIV/AIDS pandemic remains a serious threat to public health. HIV-related mortality and morbidity have greatly decreased as a result of ART, transforming HIV into a chronic, manageable condition. However, loss to follow-up hinders efforts to manage the HIV pandemic and is a substantial challenge. Objectives: The objective of this study was to determine the incidence and predictors of loss to follow up among adults on ART in Hawassa, Sidama, Ethiopia 2024. Methods: An institution-based retrospective follow up study was conducted. The study utilized data from four selected ART clinics, collected retrospectively on 459 study participants from September 11, 2018 to September 11, 2023. A simple random sampling technique was employed. Data were extracted from patients' charts and registration books using KOBO Toolbox and exported to SPSS for analysis. The incidence of LTFU was calculated using cumulative incidence and incidence density rates. Kaplan-Meier survival curves were employed, providing insights into LTFU patterns. Predictors of LTFU were determined using multivariable Cox proportional-hazard regression. Result: A total of 459 participants were included in the study, contributing 1386 person years of follow-up. The cumulative incidence of loss to follow-up (LTFU) was 16.6%, with an incidence density rate of 5.48 per 100 person-years [95% CI: 4.37- 6.86]. Significant predictors of LTFU included younger age groups (AHR 2.77, 95% CI: 1.06 - 7.19), lack of education (AHR 4.08, 95% CI: 1.34 - 12.43), WHO stage III (AHR 3.06, 95% CI: 1.04 - 8.99), WHO stage IV (AHR 4.64, 95% CI: 1.82 - 11.85), and being bedridden (AHR 3.63, 95% CI: 1.42 - 9.32). These factors were identified as significant predictors of LTFU in this cohort of ART patients in Hawassa, Ethiopia. Conclusions: This study found that the incidence of LTFU was moderate relative to certain global and local findings. Age, education, WHO clinical stage, functional status and CPT treatment are found significant predictors of LTFU. These findings highlight the need for targeted interventions to address the specific challenges faced by the identified vulnerable groups.
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    ANTI-RETROVIRAL REGIMEN CHANGE AND ITS PREDICTORS AMONG PEOPLE LIVING WITH HIV AT HAWASSA UNIVERSITY COMPREHENSIVE SPECIALIZED HOSPITAL, SOUTHERN ETHIOPIA
    (Hawassa University, 2024-05) WONAGO PETROS
    Background: Anti-retroviral regimen change is among the major challenges for the success of treatment among people living with human immunodeficiency virus (PLHIV), affecting its sustainability and outcome among ART patients. Yet, the evidence on the incidence and predictors of regimen change is unknown in this setting and the region. Objective: The aim of this study was to determine the incidence of antiretroviral regimen change and its predictors among PLHIV at Hawassa University Comprehensive Specialized Hospital in 2024 Methods: An institutional-based retrospective cohort study was conducted among PLHIV who started ART from January 1, 2006, to December 31, 2023. Regimen change was defined as changing the ART regimen due to adverse events. Records were reviewed and standard data extraction form was used to collect data on a kobo tool kit. A Kaplan-Meier plot with a log-rank test at p<0.05 was used to estimate the median follow-up time and compare survival between the covariates. Bi-variable cox-regression analysis was done and variables with p≤0.25 were entered into the multivariable cox-regression model. Predictors with p values<0.05 reported with their adjusted hazard ratios and the 95% confidence intervals. Results: A total of 3856 patients were followed for 39,350 person-years of observation with the median follow-up period of 11.2 years. The incidence rate of anti-retroviral regimen change was 12.1 (95% confidence interval (CI): 11.5–12.7) per 100 person-years. Female gender (Adjusted hazard ratio (AHR) = 2.9, 95%CI = 2.6–3.4), occurrence of TB (AHR = 4.6, 95%CI = 2.9–7.4), occurrence of side effects (AHR = 3.4, 95%CI = 2.9–3.8), baseline CD4 count below 100 cells/mm3 (AHR = 1.3, 95%CI = 1.1–1.6) and availability of social support (AHR = 0.47, 95%CI = 0.38–0.58) were the predictors of regimen change among PLHIV receiving anti-retroviral therapy. Conclusion and recommendation: The incidence of regimen change in this study was comparable to other findings. A number of variables predicted regimen change and female gender, occurrence of drug side effects, occurrence of TB, CD4 below 100cells/mm3 and availability of social support were predictors of incidence of regimen change. Clinicians are recommended to early assess the adverse effects, TB, immunologic failure and strengthen social support to reduce the risk of regimen change among PLIHV.
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