Development of a checklist to assess the quality of reporting of knowledge translation interventions using the Workgroup for Intervention Development and Evaluation Research (WIDER) recommendations
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Background: Influenced by an important paper by Michie et al., outlining the rationale and requirements for detailed reporting of behavior change interventions now required by Implementation Science, we created and refined a checklist to operationalize the Workgroup for Intervention Development and Evaluation Research (WIDER) recommendations in systematic reviews. The WIDER recommendations provide a framework to identify and provide detailed reporting of the essential components of behavior change interventions in order to facilitate replication, further development, and scale-up of the interventions. Findings: The checklist was developed, applied, and improved over the course of four systematic reviews of knowledge translation (KT) strategies in a variety of healthcare settings conducted by Scott and associates. The checklist was created as one method of operationalizing the work of the WIDER in order to facilitate comparison across heterogeneous studies included in these systematic reviews. Numerous challenges were encountered in the process of creating and applying the checklist across four stages of development. The resulting improvements have produced a ‘user-friendly’ and replicable checklist to assess the quality of reporting of KT interventions in systematic reviews using the WIDER recommendations. Conclusions: With journals, such as Implementation Science, using the WIDER recommendations as publication requirements for evaluation reports of behavior change intervention studies, it is crucial to find methods of examining, measuring, and reporting the quality of reporting. This checklist is one approach to operationalize the WIDER recommendations in systematic review methodology.
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A number of reporting guidelines could be leveraged to improve descriptions of strategies.
“A number of reporting guidelines could be leveraged to improve descriptions of strategies (4, 96–100).”
From Enhancing the Impact of Implementation Strategies in Healthcare: A Research Agenda (2019) · cites this paper as [100]
The importance of scientific journals ensuring that intervention content is well specified for replication and implementation has been recognised across the research community.
“The importance of scientific journals ensuring that intervention content is well specified for replication and implementation has been recognised across the research community.15”
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- Authors
- Albrecht, L., Archibald, M., Arseneau, D., & Scott, S. D.
- Affiliations
- University of Alberta (CA)
- Corresponding author
- Scott, Shannon D
- Venue
- Implementation Science
- Published
- 2013-05-16
- Volume
- 8
- Issue
- 1
- Pages
- 52-52
- ISSN
- 1748-5908 (ISSN-L)
- PMC
- PMC3661354
- OpenAlex
- W2168880871
- Cited by
- 252
- References
- 10
- Citations by year
- 2026: 9 · 2025: 9 · 2024: 21 · 2023: 16 · 2022: 27 · 2021: 32 · 2020: 27 · 2019: 20 · 2018: 14 · 2017: 19 · 2016: 17 · 2015: 22 · 2014: 12 · 2013: 4 · 2012: 3
- FWCI
- 19.96
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Implementation Science (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion, cc-by)
- Funders
- University of Alberta
- Canadian Institutes of Health Research (102071_1)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Clinical practice guidelines implementation
- Keywords
- knowledge translation intervention, behaviour change interventions, systematic review methodology, intervention development and evaluation
- MeSH terms
- Forecasting, Humans, Quality Assurance, Health Care, Research Design, Randomized Controlled Trials as Topic, Program Development, Translational Research, Biomedical, Checklist
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.
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