Add to item 4: "...intervention reach among at-risk populations" and as compared to the general population..
4.A-Methods, Performance, and Health Outcomes; Data Availability, Dissemination, and Utility
Add to item 1: What measures are best to measure outputs, outcomes, and public health impact?
What metrics should be used to measure health outcomes?
How can/should data on health outcomes metrics be collected? Are the measures practicably measurable at the appropriate geographic levels? How should the measures be tracked over time?
What advanced methodological tools are used in other fields? How can these tools (e.g., multi-level modeling) be applied in this context?
What, if any, evidence exists of improvements in health outcomes related to the volume of service delivery, intervention reach among at-risk populations, and/or the fidelity of evidence-based practices?
How can/should a surveillance system for the public health system and its services be built (i.e., where multiple data streams can be merged to enable longitudinal studies and/or dashboards)?
What methods need to be developed in order to better define and measure how health departments and others are employing quality improvement (QI) and performance management systems?
How effective are the performance management system tools used to improve agency services and community health outcomes?
What public health capacity is required to deliver public health services?
Are communities with more robust public health capacities able to develop interventions that lead to better health outcomes?
How can effective QI measures be developed? How can data from across the country be used to learn about the comparative effectiveness of different QI tools used in different settings?