Making Metrics Meaningful: How Human Research Protection Programs Can Efficiently and Effectively Use Their Data

Area of Science:

• Health Services Research
• Regulatory Science
• Program Management

Background:

• Human research protection programs (HRPPs) generate substantial data regarding performance, capacity, and compliance.
• Effective utilization of this data is crucial for HRPPs to achieve institutional objectives and demonstrate success.

Purpose of the Study:

• To demonstrate how high-performing HRPPs develop, adopt, and implement a robust metrics framework.
• To illustrate how a metrics framework can enhance daily operations and yield tangible results.

Main Methods:

• Development and adoption of a three-part thematic framework: insight, data, and action.
• Leveraging both quantitative and qualitative data to validate outcomes within the metrics framework.
• Utilizing case examples and actionable strategies for implementation.

Main Results:

• Iterative development and characterization of metrics tailored to HRPP needs.
• Successful integration of a metrics framework that supports everyday operations.
• Activation of human insight for effective data communication, visualization, and dissemination.

Conclusions:

• A well-designed metrics framework, grounded in professional insight, is essential for HRPP effectiveness.
• The framework facilitates data-informed decision-making, leading to improved programmatic goals and institutional success.
• Actionable strategies derived from data analysis drive meaningful improvements in HRPP performance.