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Predictors of Late Presentation for HIV/AIDS in West Arsi Zone Public Health Institutions, South Ethiopia: Unmatched Case–Control Study

BACKGROUND: Late presentation for HIV/AIDS care is defined as individuals newly presenting for HIV/AIDS care with a CD4 count below 350 cells/μl or presenting for care with WHO clinical staging of stage III or IV. Globally, around 21.7 million people living with HIV/AIDS were receiving ART in 2017,...

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Detalles Bibliográficos
Autores principales: Degno, Sisay, Atlaw, Daniel, Mekonnen, Ashenafi, Lencha, Bikila, Kumsa, Kebede, Tekalegn, Yohannes, Walle, Gashaw, Niggussie, Ashebir, Aman, Rameto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8291576/
https://www.ncbi.nlm.nih.gov/pubmed/34295191
http://dx.doi.org/10.2147/HIV.S313139
Descripción
Sumario:BACKGROUND: Late presentation for HIV/AIDS care is defined as individuals newly presenting for HIV/AIDS care with a CD4 count below 350 cells/μl or presenting for care with WHO clinical staging of stage III or IV. Globally, around 21.7 million people living with HIV/AIDS were receiving ART in 2017, with an increase of 2.3 million since 2016. Despite this progress, most people start ART late in their disease progression. OBJECTIVE: This study aims to identify predictors of late presentation for HIV/AIDS among people living with HIV and attending ART clinics in West Arsi Zone public health institutions, South Ethiopia, 2019. METHODOLOGY: A facility-based unmatched case–control study was conducted among people living with HIV attending ART clinics in West Arsi Zone public health institutions, with a total sample size of 500 (167 cases and 333 controls). The sample size was calculated using Epi info version 7 and participants were selected using the case-based control selection sampling technique. Descriptive statistics were carried out to summarize the data. Bi-variate binary logistic regression analysis was carried for selecting candidate variables for multivariate binary logistic regression. A p-value of <0.05 was taken to declare the presence of a statistical association between outcomes and explanatory variables. RESULTS: Rural residence (AOR=7.74 95% CI (3.4–17.6)), being single (AOR=0.18 95% CI (0.06–0.49)) symptom(s) at first HIV diagnosis (AOR=7.69 95% CI (4.09–14.4)), no private house (AOR=5.09 95% CI (2.47–10.45)), fear of losing job (AOR=4.12 95% CI (2.04–8.31)), alcohol consumption (AOR=4.35 95% CI (2.18–8.69), and having chronic medical illness (AOR=5.04 95% CI (2.48–10.24)) were identified as having significant associations with late presentation of HIV/AIDS care. CONCLUSION: Rural residence, fear of losing a job, and chronic medical illness were potential risk factors for late presentation of HIV/AIDS care. Being single is the only protective factor for the late presentation of HIV/AIDS care.