ArticleAmerican journal of public health2014
Classifying local health departments on the basis of the constellation of services they provide.
Article in American journal of public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Performance and Priorities: A Cross-sectional Study of Local Health Department Approaches to Essential Public Health Services.Public health reports (Washington, D.C. : 1974) · 2020Article
- Using a positive deviance framework to identify Local Health Departments in Communities with exceptional maternal and child health outcomes: a cross sectional study.BMC public health · 2016Article
- Patterns and correlates of public health informatics capacity among local health departments: an empirical typology.Online journal of public health informatics · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesWe explored service variation among local health departments (LHDs) nationally to allow systematic characterization of LHDs by patterns in the constellation of services they deliver.
methodsWe conducted latent class analysis by using categorical variables derived from LHD service data collected in 2008 for the National Profile of Local Health Departments Survey and before service changes resulting from the national financial crisis.
resultsA 3-class solution produced the best fit for this data set of 2294 LHDs. The 3 configurations of LHD services depicted an interrelated set of narrow or limited service provision (limited), a comprehensive (core) set of key services provided, and a third class of core and expanded services (core plus), which often included rare services. The classes demonstrated high geographic variability and were weakly associated with expenditure quintile and urban or rural location.
conclusionsThis empirically derived view of how LHDs organize their array of services is a unique approach to categorizing LHDs, providing an important tool for research and a gauge to monitor how changes in LHD service patterns occur.
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