OBJECTIVES: To develop a local board of health (LBoH) classification scheme and empirical definitions to provide a coherent framework for describing variation in the LBoHs. METHODS: This study is based on data from the 2015 Local Board of Health Survey, conducted among a nationally representative sample of local health department administrators, with 394 responses. The classification development consisted of the following steps: (1) theoretically guided initial domain development, (2) mapping of the survey variables to the proposed domains, (3) data reduction using principal component analysis and group consensus, and (4) scale development and testing for internal consistency. RESULTS: The final classification scheme included 60 items across 6 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 LBoHs 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 local health department administrators. Future studies can use this taxonomy to better characterize the impact of LBoHs.

The field of public health services and systems research (PHSSR) has emerged over the past decade to produce the evidence needed to address critical uncertainties about how best to organize, finance, and deliver effective public health strategies to all Americans. To advance these efforts, a national PHSSR research agenda-setting process was used to identify a broad inventory of information needs and uncertainties that public health stakeholders face in the domains of public health workforce, public health system structure and performance, public health financing, and public health information and technology. This paper presents the results of an expert review process used to transform the identified information needs into a concise set of research questions that can be pursued through new scientific inquiry in PHSSR. Established research frameworks were used to specify the contexts, mechanisms of action, and outcomes within the public health system that require further study. A total of 72 research questions were developed from the 113 original items in the PHSSR inventory of information needs. The questions include both persistent problems and newly emerging needs in public health practice and policy. The resulting research agenda provides a starting point for mobilizing the public health scientific enterprise around contemporary, high-priority uncertainties identified by broad cross sections of public health stakeholders. Regular updates to this agenda will be required to achieve continuous improvements in both the science and practice of public health.

Recognizing the public's health is the outcome of dynamic, adaptive, and complex systems of agencies; infrastructure, relationships, and interactions that dictate how to improve health outcomes; and reducing health risks in a population based on systems thinking and evidence. New methods such as network analysis and public health practice-based research networks demonstrate the potential for new insight to our understanding of how systems and infrastructure influence population health. We examine advances in public health systems research since 1988 and discuss the relevance of this type of research to public health practice. We assess the current infrastructure for conducting public health systems research, suggest how the research infrastructure can be improved, and conclude with a discussion of how health reform in the United States will require research focused on understanding the adaptive complexity inherent in public health and health care systems and strengthening the systems research infrastructure. Expected final online publication date for the Annual Review of Public Health Volume 31 is March 17, 2010. Please see http://www.annualreviews.org/catalog/pubdates.aspx for revised estimates.