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Facilitators and barriers to implementing electronic patient-reported outcome and experience measures in a health care setting: a systematic review

OBJECTIVE: This systematic literature review aimed to identify factors that influence the implementation of electronic patient-reported outcome measures (ePROMs) and patient-reported experience measures (ePREMs) in healthcare settings. INTRODUCTION: Improvements in health care through increased pati...

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Autores principales: Glenwright, Ben G., Simmich, Joshua, Cottrell, Michelle, O’Leary, Shaun P., Sullivan, Clair, Pole, Jason D., Russell, Trevor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9928985/
https://www.ncbi.nlm.nih.gov/pubmed/36786914
http://dx.doi.org/10.1186/s41687-023-00554-2
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author Glenwright, Ben G.
Simmich, Joshua
Cottrell, Michelle
O’Leary, Shaun P.
Sullivan, Clair
Pole, Jason D.
Russell, Trevor
author_facet Glenwright, Ben G.
Simmich, Joshua
Cottrell, Michelle
O’Leary, Shaun P.
Sullivan, Clair
Pole, Jason D.
Russell, Trevor
author_sort Glenwright, Ben G.
collection PubMed
description OBJECTIVE: This systematic literature review aimed to identify factors that influence the implementation of electronic patient-reported outcome measures (ePROMs) and patient-reported experience measures (ePREMs) in healthcare settings. INTRODUCTION: Improvements in health care through increased patient engagement have gained traction in recent years. Patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs) are tools used to improve the quality of care from the patient perspective. The influence of implementing PROMs and PREMs using electronic information systems (ePROMs and ePREMs) is not well understood. INCLUSION CRITERIA: Studies with information related to the implementation of ePROMs and/or ePREMs with a focus on health-related services, irrespective of provider type, were included. METHODS: A literature search of peer-reviewed databases was conducted on the 24th of January 2022 for articles about barriers and facilitators of the implementation of ePROMs/ePREMs in healthcare settings. Two reviewers independently extracted relevant findings from the included studies and performed a descriptive code-based synthesis before collaboratively creating a final consensus set of code categories, which were then mapped to the consolidated framework of implementation research (CFIR). Study quality was appraised using a mixed-methods appraisal tool (MMAT). RESULTS: 24 studies were eligible for inclusion in the screening of 626 nonduplicate studies. Quality assessment using the MMAT revealed that 20/24 studies met at least 60% of the MMAT criteria. Ninety-six code categories were identified and mapped to the constructs across all CFIR domains. CONCLUSION: To guide the effective implementation of ePROMs/ePREMs in healthcare settings, factors shown to influence their implementation have been summarised as an implementation checklist for adoption and use by clinicians, organisations, and policymakers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41687-023-00554-2.
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spelling pubmed-99289852023-02-16 Facilitators and barriers to implementing electronic patient-reported outcome and experience measures in a health care setting: a systematic review Glenwright, Ben G. Simmich, Joshua Cottrell, Michelle O’Leary, Shaun P. Sullivan, Clair Pole, Jason D. Russell, Trevor J Patient Rep Outcomes Review OBJECTIVE: This systematic literature review aimed to identify factors that influence the implementation of electronic patient-reported outcome measures (ePROMs) and patient-reported experience measures (ePREMs) in healthcare settings. INTRODUCTION: Improvements in health care through increased patient engagement have gained traction in recent years. Patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs) are tools used to improve the quality of care from the patient perspective. The influence of implementing PROMs and PREMs using electronic information systems (ePROMs and ePREMs) is not well understood. INCLUSION CRITERIA: Studies with information related to the implementation of ePROMs and/or ePREMs with a focus on health-related services, irrespective of provider type, were included. METHODS: A literature search of peer-reviewed databases was conducted on the 24th of January 2022 for articles about barriers and facilitators of the implementation of ePROMs/ePREMs in healthcare settings. Two reviewers independently extracted relevant findings from the included studies and performed a descriptive code-based synthesis before collaboratively creating a final consensus set of code categories, which were then mapped to the consolidated framework of implementation research (CFIR). Study quality was appraised using a mixed-methods appraisal tool (MMAT). RESULTS: 24 studies were eligible for inclusion in the screening of 626 nonduplicate studies. Quality assessment using the MMAT revealed that 20/24 studies met at least 60% of the MMAT criteria. Ninety-six code categories were identified and mapped to the constructs across all CFIR domains. CONCLUSION: To guide the effective implementation of ePROMs/ePREMs in healthcare settings, factors shown to influence their implementation have been summarised as an implementation checklist for adoption and use by clinicians, organisations, and policymakers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41687-023-00554-2. Springer International Publishing 2023-02-14 /pmc/articles/PMC9928985/ /pubmed/36786914 http://dx.doi.org/10.1186/s41687-023-00554-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review
Glenwright, Ben G.
Simmich, Joshua
Cottrell, Michelle
O’Leary, Shaun P.
Sullivan, Clair
Pole, Jason D.
Russell, Trevor
Facilitators and barriers to implementing electronic patient-reported outcome and experience measures in a health care setting: a systematic review
title Facilitators and barriers to implementing electronic patient-reported outcome and experience measures in a health care setting: a systematic review
title_full Facilitators and barriers to implementing electronic patient-reported outcome and experience measures in a health care setting: a systematic review
title_fullStr Facilitators and barriers to implementing electronic patient-reported outcome and experience measures in a health care setting: a systematic review
title_full_unstemmed Facilitators and barriers to implementing electronic patient-reported outcome and experience measures in a health care setting: a systematic review
title_short Facilitators and barriers to implementing electronic patient-reported outcome and experience measures in a health care setting: a systematic review
title_sort facilitators and barriers to implementing electronic patient-reported outcome and experience measures in a health care setting: a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9928985/
https://www.ncbi.nlm.nih.gov/pubmed/36786914
http://dx.doi.org/10.1186/s41687-023-00554-2
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