Understanding administrative evidence-based practices: findings from a survey of local health department leaders

Am J Prev Med. 2014 Jan;46(1):49-57. doi: 10.1016/j.amepre.2013.08.013.

Abstract

Background: There are sparse data showing the extent to which evidence-based public health is occurring among local health departments.

Purpose: The purpose of the study was to describe the patterns and predictors of administrative evidence-based practices (structures and activities that are associated with performance measures) in a representative sample of local health departments in the U.S.

Methods: A cross-sectional study of 517 local health department directors was conducted from October through December 2012 (analysis in January-March 2013). The questions on administrative evidence-based practices included 19 items based on a recent literature review (five broad domains: workforce development, leadership, organizational climate and culture, relationships and partnerships, financial processes).

Results: There was a wide range in performance among the 19 individual administrative evidence-based practices, ranging from 35% for providing access to current information on evidence-based practices to 96% for funding via a variety of sources Among the five domains, values were generally lowest for organizational climate and culture (mean for the domain=49.9%) and highest for relationships and partnerships (mean for the domain=77.1%). Variables associated with attaining the highest tertile of administrative evidence-based practices included having a population jurisdiction of 25,000 or larger (adjusted ORs [aORs] ranging from 4.4 to 7.5) and state governance structure (aOR=3.1).

Conclusions: This research on the patterns and predictors of administrative evidence-based practices in health departments provides information on gaps and areas for improvement that can be linked with ongoing quality improvement processes.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Cross-Sectional Studies
  • Evidence-Based Practice / statistics & numerical data*
  • Female
  • Humans
  • Local Government
  • Male
  • Middle Aged
  • Public Health Administration / statistics & numerical data*
  • United States