Use of concept mapping to characterize relationships among implementation strategies and assess their feasibility and importance: results from the Expert Recommendations for Implementing Change (ERIC) study
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A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
Abstract
BACKGROUND: Poor terminological consistency for core concepts in implementation science has been widely noted as an obstacle to effective meta-analyses. This inconsistency is also a barrier for those seeking guidance from the research literature when developing and planning implementation initiatives. The Expert Recommendations for Implementing Change (ERIC) study aims to address one area of terminological inconsistency: discrete implementation strategies involving one process or action used to support a practice change. The present report is on the second stage of the ERIC project that focuses on providing initial validation of the compilation of 73 implementation strategies that were identified in the first phase. FINDINGS: Purposive sampling was used to recruit a panel of experts in implementation science and clinical practice (N = 35). These key stakeholders used concept mapping sorting and rating activities to place the 73 implementation strategies into similar groups and to rate each strategy's relative importance and feasibility. Multidimensional scaling analysis provided a quantitative representation of the relationships among the strategies, all but one of which were found to be conceptually distinct from the others. Hierarchical cluster analysis supported organizing the 73 strategies into 9 categories. The ratings data reflect those strategies identified as the most important and feasible. CONCLUSIONS: This study provides initial validation of the implementation strategies within the ERIC compilation as being conceptually distinct. The categorization and strategy ratings of importance and feasibility may facilitate the search for, and selection of, strategies that are best suited for implementation efforts in a particular setting.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- Implementation Science
- Topic
- Health Policy Implementation Science
- Field
- Health Professions
- Canadian institutions
- —
- Funders
- National Institute of Mental HealthVA Pittsburgh Healthcare SystemVISN 4 Mental Illness Research, Education, and Clinical CenterUniversity of California, San DiegoQuality Enhancement Research InitiativeUniversity of TorontoFahs-Beck Fund for Research and ExperimentationNational Institute of Diabetes and Digestive and Kidney DiseasesJohns Hopkins UniversityHealth Services Research and DevelopmentUniversity of WashingtonNIH Clinical CenterU.S. Department of Veterans AffairsWashington University in St. LouisUniversity of California, Los AngelesUniversity of Massachusetts BostonIndiana University-Purdue University IndianapolisUniversity of MinnesotaHarvard UniversityPurdue UniversityUniversity of PennsylvaniaUniversity of Arkansas for Medical SciencesDoris Duke Charitable Foundation
- Keywords
- CategorizationComputer scienceProcess managementProcess (computing)Implementation researchConsistency (knowledge bases)Health informaticsManagement scienceRubricBest practiceData scienceKnowledge managementMedicinePsychological interventionPsychologyArtificial intelligencePublic health
- Has abstract in OpenAlex
- yes