Synthetic Controls for Implementation Science: Opportunities for HIV Program Evaluation Using Routinely Collected Data.
Sara WallachSuzue SaitoHarriet Nuwagaba-BiribonwohaLenhle DubeMatthew Raymond LambPublished in: Current HIV/AIDS reports (2024)
SCM, introduced in econometrics, shows increasing utility across fields. Key benefits of this methodology over traditional design-based approaches for evaluation stem from directly approximating pre-intervention trends by weighting of candidate non-intervention units. We demonstrate SCM to evaluate the effectiveness of a public health intervention targeting HIV health facilities with high numbers of recent infections on trends in pre-exposure prophylaxis (PrEP) enrollment. This test case demonstrates SCM's feasibility for effectiveness evaluations of site-level HIV interventions. HIV programs collecting longitudinal, routine service delivery data for many facilities, with only some receiving a time-specified intervention, are well-suited for evaluation using SCM.
Keyphrases
- public health
- randomized controlled trial
- antiretroviral therapy
- hiv positive
- hiv testing
- hiv infected
- men who have sex with men
- human immunodeficiency virus
- hiv aids
- hepatitis c virus
- healthcare
- systematic review
- mental health
- quality improvement
- south africa
- primary care
- machine learning
- cancer therapy
- drug delivery
- artificial intelligence
- data analysis
- health information
- health insurance
- health promotion