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Updated: Jun 30, 2026

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
Lessons from a project to create performance measures for public health
1Public Health Team, Edmund S. Muskie School of Public Service, University of Southern Maine, 45 Commerce Drive, Suite 11, Augusta, ME 04333, USA.
Implementing performance measures for sexually transmitted disease (STD) programs requires extensive definition of terms and clarification of workflows. Careful use is advised, as measures may unintentionally capture extraneous program elements.
Area of Science:
- Public Health
- Health Program Evaluation
- Epidemiology
Background:
- National-level performance measures are being developed for local sexually transmitted disease (STD) prevention and control programs.
- A Centers for Disease Control and Prevention (CDC)-funded project explored the feasibility of these measures.
- Local grantees reported on data collection and program development experiences.
Purpose of the Study:
- To illustrate complications in formulating and implementing performance measures using a specific example.
- To assess the operational feasibility and programmatic utility of national-level STD performance measures in local settings.
Main Methods:
- Utilized a case study approach within a CDC-funded project.
- Collected local data from grantees.
- Gathered grantee feedback on data elicitation and use for program development.
Main Results:
- Performance measures require extensive definition and clarification of terminologies for operational feasibility and programmatic usefulness.
- Key activities include developing a common language, mapping workflows, and clarifying spheres of influence.
- Performance measures may unintentionally capture extraneous program elements, necessitating cautious application.
Conclusions:
- Extensive definitional work is crucial for effective performance measure implementation in STD control programs.
- Clear communication and defined roles are essential for successful data utilization.
- Performance measures should be interpreted with caution due to potential inclusion of unintended program aspects.
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