Data synthesis in community health assessment: practical examples from the field

Area of Science:

• Public Health
• Health Management
• Community Health Assessment

Background:

• State and local health departments (LHDs) face challenges in translating community health assessment data into actionable priorities.
• Existing literature offers limited practical guidance on bridging data collection and prioritization steps in health planning.
• The Mobilizing for Action through Planning and Partnerships (MAPP) model is widely used by LHDs for community health assessments.

Purpose of the Study:

• To provide practical examples of how LHDs have successfully bridged data collection and prioritization through data synthesis.
• To illustrate data synthesis processes used by LHDs experienced with the MAPP model.
• To offer insights relevant to current LHD practices, including accreditation and hospital community health needs assessments.

Main Methods:

• Case study approach examining data synthesis activities in three LHDs with MAPP model experience.
• Detailed synopsis of data synthesis, including setting, participants, processes, and outcomes.
• Analysis of commonalities in LHD data synthesis processes.

Main Results:

• Commonalities identified include intensive, multi-day retreats and the use of nominal group-like techniques.
• Iterative approaches were consistently employed to refine and reduce the number of strategic issues.
• The described processes effectively facilitated the transition from data collection to strategic issue prioritization.

Conclusions:

• Data synthesis offers a practical framework for LHDs to effectively bridge community health assessment data collection and prioritization.
• Collaborative, structured processes like those described are crucial for successful data synthesis and strategic planning.
• These findings are timely and relevant for LHDs navigating accreditation and new community health assessment requirements.