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Synthetic Controls for Implementation Science: Opportunities for HIV Program Evaluation Using Routinely Collected

Sara Wallach1,2, Suzue Saito3, Harriet Nuwagaba-Biribonwoha4,3

  • 1Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, 10032, USA. sara.wallach@columbia.edu.

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PubMed
Summary
This summary is machine-generated.

The synthetic control method (SCM) offers a novel approach for evaluating large HIV service delivery programs. This implementation science tool effectively assesses public health interventions by approximating pre-intervention trends.

Keywords:
Design-based methodsHIV PrEPImplementation scienceProgram evaluationSynthetic control method

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Area of Science:

  • Public Health
  • Econometrics
  • Implementation Science

Background:

  • HIV service delivery programs represent significant global public health investments.
  • Evaluating the impact of policy interventions in these programs requires efficient methodologies.
  • Traditional evaluation approaches may not fully capture the complexities of public health interventions.

Purpose of the Study:

  • To propose and demonstrate the synthetic control method (SCM) as a valuable tool for evaluating HIV service delivery programs.
  • To assess the feasibility of SCM for implementation science in public health.
  • To evaluate the effectiveness of a specific HIV intervention on pre-exposure prophylaxis (PrEP) enrollment.

Main Methods:

  • The synthetic control method (SCM), an econometric technique, was employed.
  • SCM approximates pre-intervention trends by weighting non-intervention units.
  • The method was applied to evaluate an intervention targeting HIV health facilities with high infection rates.

Main Results:

  • The study demonstrates the feasibility of using SCM for evaluating site-level HIV interventions.
  • SCM effectively estimated the impact of the intervention on pre-exposure prophylaxis (PrEP) enrollment trends.
  • The methodology proved adept at approximating pre-intervention trends.

Conclusions:

  • The synthetic control method (SCM) is a powerful implementation science tool for evaluating HIV programs.
  • SCM is particularly well-suited for programs with longitudinal data from multiple facilities, some receiving interventions.
  • This approach enhances the timely and efficient evaluation of public health policy effects.