Use of data from various sources to evaluate and improve the prevention of mother-to-child transmission of HIV programme in Zimbabwe: a data integration exercise.
Euphemia Lindelwe SibandaKaren WebbCarolyn A FaheyMi-Suk Kang DufourSandra I McCoyConstancia WatadzausheJeffrey DirawoMarsha DedaAnesu ChimwazaIsaac TaramusiAngela MushaviSolomon MukungunugwaNancy PadianFrances Mary CowanPublished in: Journal of the International AIDS Society (2021)
Data integration was feasible and identified gaps in programme implementation/documentation leading to corrective interventions. Incident infections among mothers are the largest contributors to MTCT: there is need to strengthen the prevention cascade among HIV-negative women.
Keyphrases
- electronic health record
- hiv testing
- antiretroviral therapy
- hiv positive
- hiv infected
- human immunodeficiency virus
- big data
- hepatitis c virus
- men who have sex with men
- physical activity
- healthcare
- primary care
- study protocol
- mental health
- randomized controlled trial
- polycystic ovary syndrome
- high intensity
- data analysis
- clinical trial
- drinking water
- type diabetes
- machine learning
- metabolic syndrome