E W Ford1, W J Duncan, P M Ginter. 1. Tulane University, 1430 Tulane Avenue, New Orleans, LA 70112-26992, USA. eford@tulane.edu
Abstract
OBJECTIVES: The purpose of this article was to investigate the relationship between state health agencies' adherence to the recommendations of the United State's Institute of Medicine's (IOM) report, "The Future of Public Health", and changes in their populations' health. STUDY DESIGN: Data were abstracted from agencies' plans, budgets, annual reports, etc. spanning a 5-year period. A comprehensive change in population health measure over the same period was drawn from the UnitedHealth Group's annual survey. METHODS: Configurations, based on public health core functions, were established using linear regression and qualitative comparative analysis. The dependent variable was a holistic measure of change in a state population's health status. RESULTS: State agencies that most completely adopted a public health model emphasizing assessment, assurance and policy development also experienced significant improvements in their population health measures. CONCLUSIONS: State agencies that more completely adopted the IOM's public health core functions had a concomitant improvement in their populations' health statuses. Further research to explore if there is a causal link between adoption of the core functions and positive health impacts is warranted.
OBJECTIVES: The purpose of this article was to investigate the relationship between state health agencies' adherence to the recommendations of the United State's Institute of Medicine's (IOM) report, "The Future of Public Health", and changes in their populations' health. STUDY DESIGN: Data were abstracted from agencies' plans, budgets, annual reports, etc. spanning a 5-year period. A comprehensive change in population health measure over the same period was drawn from the UnitedHealth Group's annual survey. METHODS: Configurations, based on public health core functions, were established using linear regression and qualitative comparative analysis. The dependent variable was a holistic measure of change in a state population's health status. RESULTS: State agencies that most completely adopted a public health model emphasizing assessment, assurance and policy development also experienced significant improvements in their population health measures. CONCLUSIONS: State agencies that more completely adopted the IOM's public health core functions had a concomitant improvement in their populations' health statuses. Further research to explore if there is a causal link between adoption of the core functions and positive health impacts is warranted.
Authors: Carla A Green; Naihua Duan; Robert D Gibbons; Kimberly E Hoagwood; Lawrence A Palinkas; Jennifer P Wisdom Journal: Adm Policy Ment Health Date: 2015-09