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HIV prevention community planning: challenges and opportunities for data-informed decision-making
Hortensia Amaro1, Susan M Blake, Allison C Morrill
1Institute on Urban Health Research, Bouvé College of Health Sciences, Northeastern University, Boston, MA 02115, USA. h.amaro@neu.edu
AIDS and Behavior
|June 4, 2005
Summary
Group structure and data inputs significantly influence data use in decision-making for the Massachusetts Prevention Planning Group (MPPG). Improving data quality and member training can enhance trust and data utilization.
Area of Science:
- Public Health
- Health Policy
- Group Decision-Making Analysis
Background:
- The Massachusetts Prevention Planning Group (MPPG) plays a crucial role in public health decision-making.
- Understanding factors influencing data utilization in group settings is vital for effective policy development.
Purpose of the Study:
- To assess the influence of member characteristics, group structure, and data inputs on data-driven decision-making within the MPPG.
- To identify barriers and facilitators to effective data use and member satisfaction.
Main Methods:
- A mixed-methods approach was employed, including in-depth interviews, member surveys, directed observations, and archival review.
- Analysis focused on three key factors: member characteristics, group structure, and data inputs.
Main Results:
- Group structure and data input quality were directly associated with reliance on data; member characteristics were not.
- Half of the members expressed dissatisfaction due to conflicts and distrust, despite finding participation worthwhile.
- Data deficits included incompleteness, poor presentation quality, and long delays between data presentation and decisions.
Conclusions:
- Enhancing data quality, presentation, and decision-making processes can improve member trust and data utilization.
- Targeted training to improve interpretation of evaluation and cost-effectiveness data is recommended for MPPG members.