Cited by 23Evaluation and Performance AssessmentHealth Policy Implementation SciencePublic Health Policies and Education

The Data-to-Action Framework: A Rapid Program Improvement Process

Open access
Zakocs, Ronda, Hill, Jessica A., Brown, Pamela, Wheaton, Jocelyn, Freire, Kimberley E.·2015·Health Education & Behavior

Abstract

Although health education programs may benefit from quality improvement methods, scant resources exist to help practitioners apply these methods for program improvement. The purpose of this article is to describe the Data-to-Action framework, a process that guides practitioners through rapid-feedback cycles in order to generate actionable data to improve implementation of ongoing programs. The framework was designed while implementing DELTA PREP, a 3-year project aimed at building the primary prevention capacities of statewide domestic violence coalitions. The authors describe the framework's main steps and provide a case example of a rapid-feedback cycle and several examples of rapid-feedback memos produced during the project period. The authors also discuss implications for health education evaluation and practice.

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  • Fieldwork ended when there was good enough material, guided by information power, data saturation, diversity of times, places and persons, and passing 100 hours in the field.

    “The fieldwork ended when there was ‘good enough’ material [27], guided by information power [28], data saturation (repeating ideas) [29], capturing a diversity of ‘times, places, persons’ and passing 100 hours in the field.”

    From Shared decision-making with older people on TReatment Escalation planning for Acute deterioration in the emergency Medical Setting - Observed (STREAMS-O): an ethnographic study (2025) · cites this paper as [27]

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  1. Bauer JE Duffy GL Westcott RT 2006 The quality improvement handbook 2 Milwaukee, WI ASQ Press
  2. Beaudry ML Bialek R Moran J 2014 Using quality improvement tools and methods throughout the accreditation lifecycle Journal of Public Health Practice 20 49 51 24322686
  3. Bialek R Duffy GL Moran JW 2009 The public health quality improvement handbook Milwaukee, WI ASQ Press
  4. Davis MV Vincus A Eggers M Mahanna E Riley W Joly B … Bowling M 2012 Effectiveness of public health quality improvement training approaches: Application, application, application Journal of Public Health Practice 18 E1 E7 22139319
  5. Dilley JA Bekemeier B Harris JR 2012 Quality improvement interventions in public health systems: A systematic review American Journal of Preventive Medicine 42 5 Suppl 1 S58 S71 22502926
  6. Freire KE Zakocs R Le B Hill JA Brown P Wheaton J 2015 Evaluation of DELTA PREP: A project aimed at integrating primary prevention of intimate partner violence within state domestic violence coalitions Health Education & Behavior 42 4 436 448 26245932 PMC5991473
  7. Institute of Medicine 2001 Crossing the quality chasm: A new health system for the 21st century Washington, DC National Academies Press 25057539
  8. Livingood WC Sabbagh R Spitzfaden S Hicks A Wells L Puigdomenech S … Wood DL 2013 Quality improvement evaluation case study: Impact on public health outcomes and agency culture American Journal of Preventive Medicine 44 445 452 23597806
  9. McLees AW Thomas CW Nawaz S Young AC Rider N Davis M 2014 Advances in public health accreditation readiness and quality improvement: Evaluation findings from the national public health improvement initiative Journal of Public Health Practice 20 29 35 PMC4699179 24322683
  10. Patton MQ 2011 Developmental evaluation: Applying complexity concepts to enhance innovation and use New York, NY Guildford Press
  11. Riley WJ Moran JW Corso LC Betsch LM Bialek R Cofsky A 2010 Defining quality improvement in public health Journal of Public Health Management 16 1 5 7 20009636
  12. Schober DJ Fawcett S 2015 Using action planning to build organizational capacity for the prevention of intimate partner violence Health Education & Behavior 42 4 449 457 26245933
  13. Tague NR 2005 The quality tool box 2 Milwaukee, WI ASQ Press
  14. Thigpen S Puddy RW Singer HH Hall DM 2013 Moving knowledge into action: developing the rapid synthesis and translation process within the interactive systems framework American Journal of Community Psychology 50 285 294 PMC4739647 22777207
  15. Verma P Moran JW 2014 Sustaining a quality improvement culture in local health departments applying for accreditation Journal of Public Health Practice 20 10 43 48 24322685
  16. Wilson KM Brady TJ Lesesne C 2011 An organizing framework for translation in public health: The Knowledge to Action Framework Prevention of Chronic Disease 8 A46 Retrieved from http://www.cdc.gov/pcd/issues/2011/mar/10_0012.htm PMC3073439 21324260
  17. Woodhouse LD Toal R Nguyen T Keene D Gunn L Kellum A … Livingood WC 2013 A merged model of quality improvement and evaluation: Maximizing return on investment Health Promotion Practice 14 885 892 23407061
  18. Zakocs R Freire KE 2015 The DELTA PREP initiative: Accelerating coalition capacity for intimate partner violence prevention Health Education & Behavior 42 4 458 470 26245934 PMC5990002

Authors
Zakocs, R., Hill, J. A., Brown, P., Wheaton, J., & Freire, K. E.
Affiliations
  • Insight Evaluation, LLC, Portland, OR, USA
  • Sunflower Group, LLC, Decatur, GA, USA
  • Centers for Disease Control and Prevention (US)
Venue
Health Education & Behavior
Published
2015-08
Volume
42
Issue
4
Pages
471-479
ISSN
  • 1090-1981 (ISSN-L)
  • 1552-6127
OpenAlex
W1920413916
Cited by
23
References
2
Citations by year
2025: 4 · 2024: 3 · 2023: 1 · 2022: 4 · 2021: 1 · 2020: 1 · 2019: 1 · 2018: 1 · 2017: 2 · 2016: 2 · 2015: 3
FWCI
3.33
Type
journal article
Language
en
Open access
Locations
  • Health Education & Behavior (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institutes of Health (CC999999)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Evaluation and Performance Assessment
  • Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
  • Health Sciences › Health Professions › General Health Professions › Public Health Policies and Education
Keywords
quality improvement, primary prevention, health education evaluation
MeSH terms
Intimate Partner Violence, Feedback, Humans, Organizational Innovation, Organizational Objectives, Public Health Administration, United States, Program Evaluation, Program Development, Quality Improvement

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