Improving the quality of person-centred healthcare from the patient perspective: development of person-centred quality indicators

Importance International efforts are being made towards a person-centred care (PCC) model, but there are currently no standardised mechanisms to measure and monitor PCC at a healthcare system level. The use of metrics to measure PCC can help to drive the changes needed to improve the quality of heal...

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Main Authors: Sandra Zelinsky, Susan Brien, Jenny King, Lori Frank, Paul Fairie, Kira Leeb, Richard Sawatzky
Format: Article
Language:English
Published: BMJ Publishing Group 2020-10-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/10/10/e037323.full
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spelling doaj-ce8e0f24e9a846908d9c7805e814dda62021-05-06T09:37:20ZengBMJ Publishing GroupBMJ Open2044-60552020-10-01101010.1136/bmjopen-2020-037323Improving the quality of person-centred healthcare from the patient perspective: development of person-centred quality indicatorsSandra Zelinsky0Susan Brien1Jenny King2Lori Frank3Paul Fairie4Kira Leeb5Richard Sawatzky6PaCER Innovates, University of Calgary, Calgary, Alberta, CanadaHealth Quality Ontario, Toronto, Ontario, CanadaPicker Institute Europe, Oxford, Oxfordshire, UKRAND Corporation, Arlington, Virginia, USACommunity Health Sciences, University of Calgary Cumming School of Medicine, Calgary, Alberta, CanadaVictorian Agency for Health Information, Melbourne, Victoria, AustraliaTrinity Western University School of Nursing, Langley, British Columbia, CanadaImportance International efforts are being made towards a person-centred care (PCC) model, but there are currently no standardised mechanisms to measure and monitor PCC at a healthcare system level. The use of metrics to measure PCC can help to drive the changes needed to improve the quality of healthcare that is person centred.Objective To develop and validate person-centred care quality indicators (PC-QIs) measuring PCC at a healthcare system level through a synthesis of the evidence and a person-centred consensus approach to ensure the PC-QIs reflect what matters most to people in their care.Methods Existing indicators were first identified through a scoping review of the literature and an international environmental scan. Focus group discussions with diverse patients and caregivers and interviews with clinicians and experts in quality improvement allowed us to identify gaps in current measurement of PCC and inform the development of new PC-QIs. A set of identified and newly developed PC-QIs were subsequently refined by Delphi consensus process using a modified RAND/UCLA Appropriateness Method. The international consensus panel consisted of patients, family members, community representatives, clinicians, researchers and healthcare quality experts.Results From an initial 39 unique evidence-based PC-QIs identified and developed, the consensus process yielded 26 final PC-QIs. These included 7 related to structure, 16 related to process, 2 related to outcome and 1 overall global PC-QI.Conclusions The final 26 evidence-based and person-informed PC-QIs can be used to measure and evaluate quality incorporating patient perspectives, empowering jurisdictions to monitor healthcare system performance and evaluate policy and practice related to PCC.https://bmjopen.bmj.com/content/10/10/e037323.full
collection DOAJ
language English
format Article
sources DOAJ
author Sandra Zelinsky
Susan Brien
Jenny King
Lori Frank
Paul Fairie
Kira Leeb
Richard Sawatzky
spellingShingle Sandra Zelinsky
Susan Brien
Jenny King
Lori Frank
Paul Fairie
Kira Leeb
Richard Sawatzky
Improving the quality of person-centred healthcare from the patient perspective: development of person-centred quality indicators
BMJ Open
author_facet Sandra Zelinsky
Susan Brien
Jenny King
Lori Frank
Paul Fairie
Kira Leeb
Richard Sawatzky
author_sort Sandra Zelinsky
title Improving the quality of person-centred healthcare from the patient perspective: development of person-centred quality indicators
title_short Improving the quality of person-centred healthcare from the patient perspective: development of person-centred quality indicators
title_full Improving the quality of person-centred healthcare from the patient perspective: development of person-centred quality indicators
title_fullStr Improving the quality of person-centred healthcare from the patient perspective: development of person-centred quality indicators
title_full_unstemmed Improving the quality of person-centred healthcare from the patient perspective: development of person-centred quality indicators
title_sort improving the quality of person-centred healthcare from the patient perspective: development of person-centred quality indicators
publisher BMJ Publishing Group
series BMJ Open
issn 2044-6055
publishDate 2020-10-01
description Importance International efforts are being made towards a person-centred care (PCC) model, but there are currently no standardised mechanisms to measure and monitor PCC at a healthcare system level. The use of metrics to measure PCC can help to drive the changes needed to improve the quality of healthcare that is person centred.Objective To develop and validate person-centred care quality indicators (PC-QIs) measuring PCC at a healthcare system level through a synthesis of the evidence and a person-centred consensus approach to ensure the PC-QIs reflect what matters most to people in their care.Methods Existing indicators were first identified through a scoping review of the literature and an international environmental scan. Focus group discussions with diverse patients and caregivers and interviews with clinicians and experts in quality improvement allowed us to identify gaps in current measurement of PCC and inform the development of new PC-QIs. A set of identified and newly developed PC-QIs were subsequently refined by Delphi consensus process using a modified RAND/UCLA Appropriateness Method. The international consensus panel consisted of patients, family members, community representatives, clinicians, researchers and healthcare quality experts.Results From an initial 39 unique evidence-based PC-QIs identified and developed, the consensus process yielded 26 final PC-QIs. These included 7 related to structure, 16 related to process, 2 related to outcome and 1 overall global PC-QI.Conclusions The final 26 evidence-based and person-informed PC-QIs can be used to measure and evaluate quality incorporating patient perspectives, empowering jurisdictions to monitor healthcare system performance and evaluate policy and practice related to PCC.
url https://bmjopen.bmj.com/content/10/10/e037323.full
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