Literature DB >> 29218542

Tracking Success: Outputs Versus Outcomes-A Comparison of Accredited and Non-Accredited Public Health Agencies' Community Health Improvement Plan objectives.

Evan K Perrault1, Jill Inderstrodt-Stephens2, Elizabeth A Hintz2.   

Abstract

With funding for public health initiatives declining, creating measurable objectives that are focused on tracking and changing population outcomes (i.e., knowledge, attitudes, or behaviors), instead of those that are focused on health agencies' own outputs (e.g., promoting services, developing communication messages) have seen a renewed focus. This study analyzed 4094 objectives from the Community Health Improvement Plans (CHIPs) of 280 local PHAB-accredited and non-accredited public health agencies across the United States. Results revealed that accredited agencies were no more successful at creating outcomes-focused objectives (35% of those coded) compared to non-accredited agencies (33% of those coded; Z = 1.35, p = .18). The majority of objectives were focused on outputs (accredited: 61.2%; non-accredited: 63.3%; Z = 0.72, p = .47). Outcomes-focused objectives primarily sought to change behaviors (accredited: 85.43%; non-accredited: 80.6%), followed by changes in knowledge (accredited: 9.75%; non-accredited: 10.8%) and attitudes (accredited: 1.6%; non-accredited: 5.1%). Non-accredited agencies had more double-barreled objectives (49.9%) compared to accredited agencies (32%; Z = 11.43, p < .001). The authors recommend that accreditation procedures place a renewed focus on ensuring that public health agencies strive to achieve outcomes. It is also advocated that public health agencies work with interdisciplinary teams of Health Communicators who can help them develop procedures to effectively and efficiently measure outcomes of knowledge and attitudes that are influential drivers of behavioral changes.

Entities:  

Keywords:  CHIP; Objectives; Outcomes; Public health departments

Mesh:

Year:  2018        PMID: 29218542     DOI: 10.1007/s10900-017-0454-0

Source DB:  PubMed          Journal:  J Community Health        ISSN: 0094-5145


  9 in total

Review 1.  Evaluating the public health impact of health promotion interventions: the RE-AIM framework.

Authors:  R E Glasgow; T M Vogt; S M Boles
Journal:  Am J Public Health       Date:  1999-09       Impact factor: 9.308

2.  Public Health's Falling Share of US Health Spending.

Authors:  David U Himmelstein; Steffie Woolhandler
Journal:  Am J Public Health       Date:  2015-11-12       Impact factor: 9.308

3.  The health impact of resolving racial disparities: an analysis of US mortality data.

Authors:  Steven H Woolf; Robert E Johnson; George E Fryer; George Rust; David Satcher
Journal:  Am J Public Health       Date:  2004-12       Impact factor: 9.308

Review 4.  Measuring the impact of medical research: moving from outputs to outcomes.

Authors:  Anthony P Weiss
Journal:  Am J Psychiatry       Date:  2007-02       Impact factor: 18.112

Review 5.  A systematic review of health care efficiency measures.

Authors:  Peter S Hussey; Han de Vries; John Romley; Margaret C Wang; Susan S Chen; Paul G Shekelle; Elizabeth A McGlynn
Journal:  Health Serv Res       Date:  2009-01-28       Impact factor: 3.402

6.  We are what we do: research outputs of public health.

Authors:  Rob W Sanson-Fisher; Elizabeth M Campbell; Aye Thidar Htun; Laura J Bailey; Cynthia J Millar
Journal:  Am J Prev Med       Date:  2008-08-06       Impact factor: 5.043

7.  Local health department and academic institution linkages for community health assessment and improvement processes: a national overview and local case study.

Authors:  Reena B Chudgar; Lauren A Shirey; Miriam Sznycer-Taub; Robin Read; Rebecca L Pearson; Paul Campbell Erwin
Journal:  J Public Health Manag Pract       Date:  2014 May-Jun

8.  Public Health's Share of US Health Spending.

Authors:  David Bishai; Jonathon P Leider; Beth Resnick
Journal:  Am J Public Health       Date:  2016-07       Impact factor: 9.308

9.  The measurement of observer agreement for categorical data.

Authors:  J R Landis; G G Koch
Journal:  Biometrics       Date:  1977-03       Impact factor: 2.571

  9 in total

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