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1000 Titel
  • Co-creating physical activity interventions: a mixed methods evaluation approach
1000 Autor/in
  1. Popp, Johanna |
  2. Grüne, Eva |
  3. Carl, Johannes |
  4. Semrau, Jana |
  5. Pfeifer, Klaus |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-03-15
1000 Erschienen in
1000 Quellenangabe
  • 19(1):37
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12961-021-00699-w |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7958094/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background!#!Co-creation strategies, such as cooperative planning, are promising as a means to ensure that physical activity interventions address real-world problems and are tailored to the target group. This has already been validated in diverse settings. However, questions targeting the transferability of cooperative planning to new settings and the key factors influencing its success or failure remain unclear. At the same time, co-creation processes are complex, and evaluation can be challenging. Following calls for detailed reporting, this paper describes the programme activities, the underlying logic, and methodological design of a study that aims to evaluate the transfer of cooperative planning to new settings and to explore the associated key determinants.!##!Methods!#!Cooperative planning was utilized as a strategy to target physical activity promotion in three real-world German settings in the nursing care and automotive mechatronics sectors. This involved researchers working alongside stakeholders from practice and policy to conjointly develop new interventions to promote physical activity in physically demanding jobs. A pragmatic approach is used to evaluate both the transferability and key determinants of this strategy. We developed a logic model for this co-creation process that describes the underlying assumptions and guides the evaluation. The evaluation outcomes of this study include planning meetings, newly developed interventions, and the determinants that are likely to affect cooperative planning. Quantitative and qualitative data will be collected using questionnaires, documents, and interviews. The quantitative data will be analysed descriptively, while the qualitative data will mainly be analysed using qualitative content analysis, split by settings. Subsequently, data triangulation will be used to integrate the quantitative and qualitative findings, which will then be compared across all three settings.!##!Discussion!#!The study findings will contribute to a better understanding of co-creation strategies, their transferability, and key determinants. The practical implications can include a checklist for assessing key determinants and a guideline for transferring cooperative planning into new settings to benefit more people. Ultimately, this study will help to advance co-creation strategies and may be relevant for researchers, practitioners, and policy-makers targeting physical activity promotion in various contexts.!##!Trial registration!#!Open Science Framework: https://osf.io/r6xnt/ (retrospectively registered).
1000 Sacherschließung
lokal Surveys and Questionnaires [MeSH]
lokal Nursing care
lokal Study Protocol
lokal Humans [MeSH]
lokal Logic model
lokal Coproduction
lokal Research Design [MeSH]
lokal Health promotion
lokal Automotive mechatronics
lokal School
lokal Pragmatic evaluation
lokal Workplace
lokal Cooperative planning
lokal Exercise [MeSH]
lokal Participation
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0003-3459-804X|https://frl.publisso.de/adhoc/uri/R3LDvG5lLCBFdmE=|https://frl.publisso.de/adhoc/uri/Q2FybCwgSm9oYW5uZXM=|https://frl.publisso.de/adhoc/uri/U2VtcmF1LCBKYW5h|https://frl.publisso.de/adhoc/uri/UGZlaWZlciwgS2xhdXM=
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  • DeepGreen-ID: 7e2fdff3a9594197b148062760fc4a2c ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Erstellt am 2023-11-16T15:41:13.244+0100
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1000 Zuletzt bearbeitet 2023-12-01T02:55:09.838+0100
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