Making implementation science more efficient: capitalizing on opportunities beyond the field.

Health services research Implementation science Research methodology Research policy

Journal

Implementation science : IS
ISSN: 1748-5908
Titre abrégé: Implement Sci
Pays: England
ID NLM: 101258411

Informations de publication

Date de publication:
11 09 2023
Historique:
received: 01 05 2023
accepted: 02 09 2023
medline: 13 9 2023
pubmed: 12 9 2023
entrez: 11 9 2023
Statut: epublish

Résumé

Implementation researchers often find themselves as research partners in practice improvement projects, clinical trials or other applied health studies. The implementation science component in these projects can be described as supportive, descriptive or explanatory. This commentary reflects on the potential contributions of such projects to implementation science. They may provide evidence on implementation strategies, so it is essential to identify and evaluate these separately from the clinical and preventive interventions of interest. The use of theory on implementation processes and associated factors can contribute to knowledge accumulation, particularly if the focus is on what actually gets implemented when, why and how. The development and validation of relevant measures is a third potential contribution to implementation science. Although not all issues in implementation science can be addressed in this way, capitalization on the opportunities beyond the field can contribute to implementation science.

Identifiants

pubmed: 37697372
doi: 10.1186/s13012-023-01298-9
pii: 10.1186/s13012-023-01298-9
pmc: PMC10496297
doi:

Types de publication

Editorial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

40

Informations de copyright

© 2023. BioMed Central Ltd., part of Springer Nature.

Références

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Auteurs

Michel Wensing (M)

Heidelberg University Hospital, Heidelberg, Germany. Michel.Wensing@med.uni-heidelberg.de.

Paul Wilson (P)

Centre for Primary Care and Health Services Research, University of Manchester, Manchester, UK.
NIHR Applied Research Collaboration Greater Manchester, Manchester, UK.

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Classifications MeSH