Examining Adaptations of Evidence-Based Programs in Natural Contexts
Abstract
When evidence-based programs (EBPs) are scaled up in natural, or non-research, settings, adaptations are commonly made. Given the fidelity-versus-adaptation debate, theoretical rationales have been provided for the pros and cons of adaptations. Yet the basis of this debate is theoretical; thus, empirical evidence is needed to understand the types of adaptations made in natural settings. In the present study, we introduce a taxonomy for understanding adaptations. This taxonomy addresses several aspects of adaptations made to programs including the fit (philosophical or logistical), timing (proactive or reactive), and valence, or the degree to which the adaptations align with the program's goals and theory, (positive, negative, or neutral). Self-reported qualitative data from communities delivering one of ten state-funded EBPs were coded based on the taxonomy constructs; additionally, quantitative data were used to examine the types and reasons for making adaptations under natural conditions. Forty-four percent of respondents reported making adaptations. Adaptations to the procedures, dosage, and content were cited most often. Lack of time, limited resources, and difficulty retaining participants were listed as the most common reasons for making adaptations. Most adaptations were made reactively, as a result of issues of logistical fit, and were not aligned with, or deviated from, the program's goals and theory.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Adaptation is fairly common and often necessary.
“What is currently known, though, is that although high fidelity has been associated with positive program outcomes (34), adaptation is fairly common (3, 86, 125, 150) and often necessary.”
From The Sustainability of Evidence-Based Interventions and Practices in Public Health and Health Care (2018) · cites this paper as [86]
The citation lists haven’t been fetched yet
References 38 · Cited by 250
- Authors
- Moore, J. E., Bumbarger, B. K., & Cooper, B. R.
- Affiliations
- St. Michael's Hospital (CA)
- Pennsylvania State University (US)
- Washington State University (US)
- Corresponding author
- Moore, Julia E.
- Venue
- The Journal of Primary Prevention
- Published
- 2013-04-19
- Volume
- 34
- Issue
- 3
- Pages
- 147-161
- ISSN
- 0278-095X (ISSN-L)
- 1573-6547
- OpenAlex
- W1985348239
- Cited by
- 250
- References
- 38
- Citations by year
- 2026: 9 · 2025: 25 · 2024: 20 · 2023: 23 · 2022: 27 · 2021: 38 · 2020: 18 · 2019: 21 · 2018: 20 · 2017: 14 · 2016: 18 · 2015: 11 · 2014: 4 · 2013: 1 · 2012: 1
- FWCI
- 20.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- The Journal of Primary Prevention (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Social Sciences › Decision Sciences › Management Science and Operations Research › Evaluation and Performance Assessment
- Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
- Keywords
- evidence-based programs, program adaptation, fidelity, scale-up, natural settings, community-based implementation, program delivery, participant retention, program content
- MeSH terms
- Data Collection, Humans, Juvenile Delinquency, Pennsylvania, Violence, Guideline Adherence, Evidence-Based Practice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review