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dc.contributor.authorGrant, Aileen M.
dc.contributor.authorTreweek, Shaun
dc.contributor.authorDreischulte, Tobias
dc.contributor.authorFoy, Robbie
dc.contributor.authorGuthrie, Bruce
dc.date.accessioned2018-07-30T11:14:32Z
dc.date.available2018-07-30T11:14:32Z
dc.date.issued2013-01-12en
dc.identifier.citationGRANT, A., TREWEEK, S., DREISCHULTE, T., FOY, R. and GUTHRIE, B. 2013. Process evaluations for cluster-randomised trials of complex interventions: a proposed framework for design and reporting. Trials [online], 14, article 15. Available from: https://doi.org/10.1186/1745-6215-14-15en
dc.identifier.issn1745-6215en
dc.identifier.urihttp://hdl.handle.net/10059/3030
dc.description.abstractBackground: Process evaluations are recommended to open the 'black box' of complex interventions evaluated in trials, but there is limited guidance to help researchers design process evaluations. Much current literature on process evaluations of complex interventions focuses on qualitative methods, with less attention paid to quantitative methods. This discrepancy led us to develop our own framework for designing process evaluations of cluster-randomised controlled trials. Methods: We reviewed recent theoretical and methodological literature and selected published process evaluations; these publications identified a need for structure to help design process evaluations. We drew upon this literature to develop a framework through iterative exchanges, and tested this against published evaluations. Results: The developed framework presents a range of candidate approaches to understanding trial delivery, intervention implementation and the responses of targeted participants. We believe this framework will be useful to others designing process evaluations of complex intervention trials. We also propose key information that process evaluations could report to facilitate their identification and enhance their usefulness. Conclusion: There is no single best way to design and carry out a process evaluation. Researchers will be faced with choices about what questions to focus on and which methods to use. The most appropriate design depends on the purpose of the process evaluation; the framework aims to help researchers make explicit their choices of research questions and methods. Trial registration: Clinicaltrials.gov NCT01425502.en
dc.description.sponsorshipDQIP prescribing improvement study, Scottish Government Health Directorates Chief Scientist Office Applied Programme (Research Grant 07/02).en
dc.language.isoengen
dc.publisherBioMed Centralen
dc.rightshttps://creativecommons.org/licenses/by/4.0en
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectProcess evaluationen
dc.subjectComplex interventionen
dc.subjectCluster-randomised controlled trialen
dc.subjectQualitativeen
dc.subjectQuantitativeen
dc.subjectReportingen
dc.titleProcess evaluations for cluster-randomised trials of complex interventions: a proposed framework for design and reporting.en
dc.typeJournal articlesen
dc.publisher.urihttps://doi.org/10.1186/1745-6215-14-15en
dcterms.publicationdate2013-01-12en
refterms.accessExceptionNAen
refterms.depositExceptionNAen
refterms.panelUnspecifieden
refterms.technicalExceptionNAen
refterms.versionVoRen
rioxxterms.publicationdate2013-01-12en
rioxxterms.typeJournal Article/Reviewen
rioxxterms.versionVoRen


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