Publication: A Bayesian Analysis of Prenatal Maternal Factors Predicting Nonadherence to Infant HIV Medication in South Africa
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Issued Date
2018-09-01
Resource Type
ISSN
15733254
10907165
10907165
Other identifier(s)
2-s2.0-85040033348
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Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
AIDS and Behavior. Vol.22, No.9 (2018), 2947-2955
Suggested Citation
R. R. Cook, K. Peltzer, S. M. Weiss, V. J. Rodriguez, D. L. Jones A Bayesian Analysis of Prenatal Maternal Factors Predicting Nonadherence to Infant HIV Medication in South Africa. AIDS and Behavior. Vol.22, No.9 (2018), 2947-2955. doi:10.1007/s10461-017-2010-4 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/46408
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Title
A Bayesian Analysis of Prenatal Maternal Factors Predicting Nonadherence to Infant HIV Medication in South Africa
Abstract
© 2018, Springer Science+Business Media, LLC, part of Springer Nature. While efforts to prevent mother-to-child transmission of HIV been successful in some districts in South Africa, rates remain unacceptably high in others. This study utilized Bayesian logistic regression to examine maternal-level predictors of adherence to infant nevirapine prophylaxis, including intimate partner violence, maternal adherence, HIV serostatus disclosure reaction, recency of HIV diagnosis, and depression. Women (N = 303) were assessed during pregnancy and 6 weeks postpartum. Maternal adherence to antiretroviral therapy during pregnancy predicted an 80% reduction in the odds of infant nonadherence [OR 0.20, 95% posterior credible interval (.11,.38)], and maternal prenatal depression predicted an increase [OR 1.04, 95% PCI (1.01, 1.08)]. Results suggest that in rural South Africa, failure to provide medication to infants may arise from shared risk factors with maternal nonadherence. Intervening to increase maternal adherence and reduce depression may improve adherence to infant prophylaxis and ultimately reduce vertical transmission rates.