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Work and home productivity of people living with HIV in Zambia and South Africa

OBJECTIVE: To compare number of days lost to illness or accessing healthcare for HIV-positive and HIV-negative individuals working in the informal and formal sectors in South Africa and Zambia. DESIGN: As part of the HPTN 071 (PopART) study, data on adults aged 18–44 years were gathered from cross-s...

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Detalles Bibliográficos
Autores principales: Thomas, Ranjeeta, Friebel, Rocco, Barker, Kerrie, Mwenge, Lawrence, Kanema, Sarah, Vanqa, Nosivuyile, Harper, Abigail, Bell-Mandla, Nomtha, Smith, Peter C., Floyd, Sian, Bock, Peter, Ayles, Helen, Fidler, Sarah, Hayes, Richard, Hauck, Katharina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6467557/
https://www.ncbi.nlm.nih.gov/pubmed/30946160
http://dx.doi.org/10.1097/QAD.0000000000002160
Descripción
Sumario:OBJECTIVE: To compare number of days lost to illness or accessing healthcare for HIV-positive and HIV-negative individuals working in the informal and formal sectors in South Africa and Zambia. DESIGN: As part of the HPTN 071 (PopART) study, data on adults aged 18–44 years were gathered from cross-sectional surveys of random general population samples in 21 communities in Zambia and South Africa. Data on the number of productive days lost in the last 3 months, laboratory-confirmed HIV status, labour force status, age, ethnicity, education, and recreational drug use was collected. METHODS: Differences in productive days lost between HIV-negative and HIV-positive individuals (’excess productive days lost’) were estimated with negative binomial models, and results disaggregated for HIV-positive individuals after various durations on antiretroviral treatment (ART). RESULTS: From samples of 19 330 respondents in Zambia and 18 004 respondents in South Africa, HIV-positive individuals lost more productive days to illness than HIV-negative individuals in both countries. HIV-positive individuals in Zambia lost 0.74 excess productive days [95% confidence interval (CI) 0.48–1.01; P < 0.001] to illness over a 3-month period. HIV-positive in South Africa lost 0.13 excess days (95% CI 0.04–0.23; P = 0.007). In Zambia, those on ART for less than 1 year lost most days, and those not on ART lost fewest days. In South Africa, results disaggregated by treatment duration were not statistically significant. CONCLUSION: There is a loss of work and home productivity associated with HIV, but it is lower than existing estimates for HIV-positive formal sector workers. The findings support policy makers in building an accurate investment case for HIV interventions.