Related Experiment Video
Updated: Sep 24, 2025

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
Published on: February 19, 2021
High Impact for Whom? A Qualitative Analysis of Organization Concerns About the Transition to High-Impact Prevention
Miranda J Reid1, Emmanuel K Tetteh1, Lucy M Ingaiza1
1Washington University in St. Louis, St. Louis, MO, USA.
Abstract:
HIV represents a significant health burden in the United States. In 2012, the Centers for Disease Control and Prevention (CDC) stopped recommending many once-promoted interventions as part of a shift from one HIV intervention policy, Diffusion of Effective Behavioral Interventions (DEBI), to another, High Impact Prevention (HIP). Twenty-nine staff members from 10 organizations were interviewed to explore how organizations reacted to this shift. Three major themes emerged: (1) Personal experience, community assessment, and epidemiological evidence influenced organizations' perceptions of efficacy and preference for earlier interventions. (2) Organizations were concerned that HIP interventions were not a good fit for their priority populations. (3) Organizations were frustrated with the top-down approach by the CDC prioritizing HIP interventions over earlier interventions. These results indicate that organizations continue to see value in and provide DEBI interventions. In addition, a more participatory process incorporating qualitative evidence and organizations' experiences may be necessary to achieve widespread de-implementation of DEBI interventions.
Related Concept Videos
Community Based Intervention
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
Levels of Health Promotion and Illness Prevention
In primary prevention, actions taken before disease onset prevent the disease from...
Drug Control Governance: Regulatory Bodies and Their Impact
Preventive Healthcare Services
Models of Health Promotion and Illness Prevention II
The agent-host-environment model states that disease results...
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...

