Related Experiment Video
Updated: Jul 11, 2025

Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model
Published on: October 31, 2010
Programme science: a route to effective coverage and population-level impact for HIV and sexually transmitted
Leigh M McClarty1, Marissa L Becker1, Patricia J García2
1Institute for Global Public Health, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
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.
More Related Videos
Related Concept Videos
Sexually Transmitted Infections
Retrovirus Life Cycles
Preventive Healthcare Services
Levels of Health Promotion and Illness Prevention
In primary prevention, actions taken before disease onset prevent the disease from...
Principles of Disease Surveillance
Statistical Software for Data Analysis and Clinical Trials

