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How do aggregated patient-reported outcome measures data stimulate health care improvement? A realist synthesis
OBJECTIVES: 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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5768260/ https://www.ncbi.nlm.nih.gov/pubmed/29260592 http://dx.doi.org/10.1177/1355819617740925 |
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author | Greenhalgh, Joanne Dalkin, Sonia Gibbons, Elizabeth Wright, Judy Valderas, Jose Maria Meads, David Black, Nick |
author_facet | Greenhalgh, Joanne Dalkin, Sonia Gibbons, Elizabeth Wright, Judy Valderas, Jose Maria Meads, David Black, Nick |
author_sort | Greenhalgh, Joanne |
collection | PubMed |
description | OBJECTIVES: 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. |
format | Online Article Text |
id | pubmed-5768260 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-57682602018-02-01 How do aggregated patient-reported outcome measures data stimulate health care improvement? A realist synthesis Greenhalgh, Joanne Dalkin, Sonia Gibbons, Elizabeth Wright, Judy Valderas, Jose Maria Meads, David Black, Nick J Health Serv Res Policy Review Article OBJECTIVES: 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. SAGE Publications 2017-12-20 2018-01 /pmc/articles/PMC5768260/ /pubmed/29260592 http://dx.doi.org/10.1177/1355819617740925 Text en © The Author(s) 2017 http://creativecommons.org/licenses/by-nc/4.0/ 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). |
spellingShingle | Review Article Greenhalgh, Joanne Dalkin, Sonia Gibbons, Elizabeth Wright, Judy Valderas, Jose Maria Meads, David Black, Nick How do aggregated patient-reported outcome measures data stimulate health care improvement? A realist synthesis |
title | How do aggregated patient-reported outcome measures data stimulate health care improvement? A realist synthesis |
title_full | How do aggregated patient-reported outcome measures data stimulate health care improvement? A realist synthesis |
title_fullStr | How do aggregated patient-reported outcome measures data stimulate health care improvement? A realist synthesis |
title_full_unstemmed | How do aggregated patient-reported outcome measures data stimulate health care improvement? A realist synthesis |
title_short | How do aggregated patient-reported outcome measures data stimulate health care improvement? A realist synthesis |
title_sort | how do aggregated patient-reported outcome measures data stimulate health care improvement? a realist synthesis |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5768260/ https://www.ncbi.nlm.nih.gov/pubmed/29260592 http://dx.doi.org/10.1177/1355819617740925 |
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