Objectives: To develop an LBoH classification scheme and empirical definitions to provide a coherent framework for describing variation in the LBoHs.
Data and Methods: This study is based on data from the 2015 Local Board of Health Survey, conducted among a nationally representative sample of LHD administrators, with 394 responses. The classification development consisted of the following steps: (a) theoretically guided initial domain development, (b) mapping of the survey variables to the proposed domains, (c) data reduction using principal component analysis and group consensus, and (d) scale development and testing for internal consistency.
Results: The final classification scheme included 60 items across six governance function domains and an additional domain—LBoH characteristics and strengths, such as meeting frequency, composition, and diversity of information sources. Application of this classification strongly supports the premise that boards of health differ in their performance of governance functions and in other characteristics.
Conclusions: The LBoH taxonomy provides an empirically tested standardized tool for classifying LBoHs from the viewpoint of LHD administrators. Future studies can use this taxonomy to better characterize the impact of LBoHs.
National Association of Local Boards of Health Annual Conference (NALBOH)
Shah, Gulzar H., Sergey Sotnikov, Carolyn J. Leep, Jiali Ye, Timothy W. Van-Wave.
"Creating a Taxonomy of Local Boards of Health Based on Local Health Departments’ Perspectives."
Health Policy and Community Health Faculty Presentations.