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dc.contributor.authorGreenhalgh, J
dc.contributor.authorDalkin, S
dc.contributor.authorGibbons, E
dc.contributor.authorWright, J
dc.contributor.authorValderas, JM
dc.contributor.authorMeads, D
dc.contributor.authorBlack, N
dc.date.accessioned2018-05-31T09:48:31Z
dc.date.issued2018-01-01
dc.description.abstractObjectives Internationally, there has been considerable debate about the role of data in supporting quality improvement in health care. Our objective was to understand how, why and in what circumstances the feedback of aggregated patient-reported outcome measures data improved patient care. Methods We conducted a realist synthesis. We identified three main programme theories underlying the use of patient-reported outcome measures as a quality improvement strategy and expressed them as nine 'if then' propositions. We identified international evidence to test these propositions through searches of electronic databases and citation tracking, and supplemented our synthesis with evidence from similar forms of performance data. We synthesized this evidence through comparing the mechanisms and impact of patient-reported outcome measures and other performance data on quality improvement in different contexts. Results Three programme theories were identified: supporting patient choice, improving accountability and enabling providers to compare their performance with others. Relevant contextual factors were extent of public disclosure, use of financial incentives, perceived credibility of the data and the practicality of the results. Available evidence suggests that patients or their agents rarely use any published performance data when selecting a provider. The perceived motivation behind public reporting is an important determinant of how providers respond. When clinicians perceived that performance indicators were not credible but were incentivized to collect them, gaming or manipulation of data occurred. Outcome data do not provide information on the cause of poor care: providers needed to integrate and interpret patient-reported outcome measures and other outcome data in the context of other data. Lack of timeliness of performance data constrains their impact. Conclusions Although there is only limited research evidence to support some widely held theories of how aggregated patient-reported outcome measures data stimulate quality improvement, several lessons emerge from interventions sharing the same programme theories to help guide the increasing use of these measures.en_GB
dc.description.sponsorshipThe author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This project was funded by NIHR Health Services and Delivery Research 12/136/31. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. EG was also funded by the National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care Oxford at Oxford Health NHS Foundation Trust.en_GB
dc.identifier.citationVol. 23 (1), pp. 57 - 65en_GB
dc.identifier.doi10.1177/1355819617740925
dc.identifier.urihttp://hdl.handle.net/10871/33033
dc.language.isoenen_GB
dc.publisherSAGE Publicationsen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/29260592en_GB
dc.rights© The Author(s) 2017. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).en_GB
dc.subjectpatient-reported outcome measuresen_GB
dc.subjectquality improvementen_GB
dc.subjectrealist synthesisen_GB
dc.titleHow do aggregated patient-reported outcome measures data stimulate health care improvement? A realist synthesis.en_GB
dc.typeArticleen_GB
dc.date.available2018-05-31T09:48:31Z
exeter.place-of-publicationEnglanden_GB
dc.descriptionThis is the final version of the article. Available from SAGE Publications via the DOI in this record.en_GB
dc.identifier.journalJournal of Health Services Research and Policyen_GB


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