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Programme science: a route to effective coverage and population-level impact for HIV and sexually transmitted infection prevention

  • Leigh M. McClarty
  • , Marissa L. Becker
  • , Patricia J. García
  • , Geoff P. Garnett
  • , Gina A. Dallabetta
  • , Helen Ward
  • , Sevgi O. Aral
  • , James F. Blanchard
  • Rady Faculty of Health Sciences
  • Bill and Melinda Gates Foundation
  • Imperial College Faculty of Medicine
  • Centers for Disease Control and Prevention

Research output: Contribution to journalReview articlepeer-review

10 Scopus citations

Abstract

Improvements in context-specific programming are essential to address HIV and other sexually transmitted and blood-borne infection epidemics globally. A programme science approach emphasises the need for context-specific evidence and knowledge, generated on an ongoing basis, to inform timely and appropriate programmatic decisions. We aim to accelerate and improve the use of embedded research, inquiry, and learning to optimise population-level impact of public health programmes and to introduce an effective programme coverage framework as one tool to facilitate this goal. The framework was developed in partnership with public health experts in HIV and sexually transmitted and blood-borne infections through several workshops and meetings. The framework is a practice-based tool that centres on the use of data from iterative cycles of programme-embedded research and learning, as well as routine programme monitoring, to refine the strategy and implementation of a programme. This programme science approach aims to reduce programme coverage gaps, to optimise impact at the population level, and to achieve effective coverage. This framework should facilitate the generation of programme-embedded research and learning agendas to inform resource allocation, optimise population-level impact, and achieve equitable and effective programme coverage.

Original languageEnglish
Pages (from-to)e825-e834
JournalThe Lancet HIV
Volume10
Issue number12
DOIs
StatePublished - Dec 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 5 - Gender Equality
    SDG 5 Gender Equality

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