Literature DB >> 7591790

Evaluation of health education programs: current assessment and future directions.

B A Israel1, K M Cummings, M B Dignan, C A Heaney, D P Perales, B G Simons-Morton, M A Zimmerman.   

Abstract

Recently there has been an increase in the different types of strategies used in health education interventions, including an emphasis on broadening programs focused on individual behavior change to include larger units of practice. There has also been an increasing critique of the traditional physical science paradigm for evaluating the multiple dimensions inherent in many interventions. Additionally, there is a growing recognition of the importance of involving multiple stakeholders in designing, implementing, and evaluating interventions. Each of these factors carries specific evaluation challenges. With the overall aim of strengthening the evaluation of health education programs, this article aims to (a) present conceptual and technical design issues and options, (b) describe different approaches to evaluation, (c) highlight evaluation approaches that have been effective, (d) critique the limitations of traditional evaluation approaches, (e) examine promising approaches and implications for future evaluations, and (f) provide recommendations for evaluation designs, data collection methods, roles, responsibilities, and principles for evaluating interventions.

Mesh:

Year:  1995        PMID: 7591790     DOI: 10.1177/109019819402200308

Source DB:  PubMed          Journal:  Health Educ Q        ISSN: 0195-8402


  25 in total

1.  Process evaluation in a multisite, primary obesity-prevention trial in American Indian schoolchildren.

Authors:  D L Helitzer; S M Davis; J Gittelsohn; S B Going; D M Murray; P Snyder; A B Steckler
Journal:  Am J Clin Nutr       Date:  1999-04       Impact factor: 7.045

Review 2.  Reconsidering community-based health promotion: promise, performance, and potential.

Authors:  Cheryl Merzel; Joanna D'Afflitti
Journal:  Am J Public Health       Date:  2003-04       Impact factor: 9.308

3.  Feasibility of implementing intervention methods in an adolescent worksite tobacco control study.

Authors:  M K Hunt; P Fagan; R Lederman; A Stoddard; L Frazier; K Girod; G Sorensen
Journal:  Tob Control       Date:  2003-12       Impact factor: 7.552

Review 4.  Methods for exploring implementation variation and local context within a cluster randomised community intervention trial.

Authors:  Penelope Hawe; Alan Shiell; Therese Riley; Lisa Gold
Journal:  J Epidemiol Community Health       Date:  2004-09       Impact factor: 3.710

5.  Closing the gap between injury prevention research and community safety promotion practice: revisiting the public health model.

Authors:  Dale W Hanson; Caroline F Finch; John P Allegrante; David Sleet
Journal:  Public Health Rep       Date:  2012 Mar-Apr       Impact factor: 2.792

Review 6.  Multilevel interventions and racial/ethnic health disparities.

Authors:  Sherri Sheinfeld Gorin; Hoda Badr; Paul Krebs; Irene Prabhu Das
Journal:  J Natl Cancer Inst Monogr       Date:  2012-05

7.  Community-based participatory research: a capacity-building approach for policy advocacy aimed at eliminating health disparities.

Authors:  Barbara A Israel; Chris M Coombe; Rebecca R Cheezum; Amy J Schulz; Robert J McGranaghan; Richard Lichtenstein; Angela G Reyes; Jaye Clement; Akosua Burris
Journal:  Am J Public Health       Date:  2010-09-23       Impact factor: 9.308

8.  Training by satellite: planning and evaluating a video conference for injury prevention practitioners.

Authors:  J M Bontempi; C W Runyan; J Heath
Journal:  J Community Health       Date:  1999-12

9.  Process evaluation of the Pool Cool Diffusion Trial for skin cancer prevention across 2 years.

Authors:  Cam Escoffery; Karen Glanz; Tom Elliott
Journal:  Health Educ Res       Date:  2007-10-22

10.  A multi-method process evaluation for a skin cancer prevention diffusion trial.

Authors:  Cam Escoffery; Karen Glanz; Dawn Hall; Thomas Elliott
Journal:  Eval Health Prof       Date:  2009-06       Impact factor: 2.651

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