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Measuring patient-centred system performance: a scoping review of patient-centred care quality indicators
OBJECTIVES: The shift to the patient-centred care (PCC) model as a healthcare delivery paradigm calls for systematic measurement and evaluation. In an attempt to develop patient-centred quality indicators (PC-QIs), this study aimed to identify quality indicators that can be used to measure PCC. METH...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326310/ https://www.ncbi.nlm.nih.gov/pubmed/30617101 http://dx.doi.org/10.1136/bmjopen-2018-023596 |
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author | Santana, Maria-Jose Ahmed, Sadia Lorenzetti, Diane Jolley, Rachel J Manalili, Kimberly Zelinsky, Sandra Quan, Hude Lu, Mingshan |
author_facet | Santana, Maria-Jose Ahmed, Sadia Lorenzetti, Diane Jolley, Rachel J Manalili, Kimberly Zelinsky, Sandra Quan, Hude Lu, Mingshan |
author_sort | Santana, Maria-Jose |
collection | PubMed |
description | OBJECTIVES: The shift to the patient-centred care (PCC) model as a healthcare delivery paradigm calls for systematic measurement and evaluation. In an attempt to develop patient-centred quality indicators (PC-QIs), this study aimed to identify quality indicators that can be used to measure PCC. METHODS: Design: scoping review. Data Sources: studies were identified through searching seven electronic databases and the grey literature. Search terms included quality improvement, quality indicators, healthcare quality and PCC. Eligibility Criteria: articles were included if they mentioned development and/or implementation of PC-QIs. Data Extraction and Synthesis: extracted data included study characteristics (country, year of publication and type of study/article), patients’ inclusion in the development of indicators and type of patient populations and point of care if applicable (eg, in-patient, out-patient and primary care). RESULTS: A total 184 full-text peer-reviewed articles were assessed for eligibility for inclusion; of these, 9 articles were included in this review. From the non–peer-reviewed literature, eight documents met the criteria for inclusion in this study. This review revealed the heterogeneity describing and defining the nature of PC-QIs. Most PC-QIs were presented as PCC measures and identified as guidelines, surveys or recommendations, and therefore cannot be classified as actual PC-QIs. Out of 502 ways to measure PCC, only 25 were considered to be actual PC-QIs. None of the identified articles implemented the quality indicators in care settings. CONCLUSION: The identification of PC-QIs is a key first step in laying the groundwork to develop evidence-based PC-QIs. Research is needed to continue the development and implementation of PC-QIs for healthcare quality improvement. |
format | Online Article Text |
id | pubmed-6326310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-63263102019-01-25 Measuring patient-centred system performance: a scoping review of patient-centred care quality indicators Santana, Maria-Jose Ahmed, Sadia Lorenzetti, Diane Jolley, Rachel J Manalili, Kimberly Zelinsky, Sandra Quan, Hude Lu, Mingshan BMJ Open Patient-Centred Medicine OBJECTIVES: The shift to the patient-centred care (PCC) model as a healthcare delivery paradigm calls for systematic measurement and evaluation. In an attempt to develop patient-centred quality indicators (PC-QIs), this study aimed to identify quality indicators that can be used to measure PCC. METHODS: Design: scoping review. Data Sources: studies were identified through searching seven electronic databases and the grey literature. Search terms included quality improvement, quality indicators, healthcare quality and PCC. Eligibility Criteria: articles were included if they mentioned development and/or implementation of PC-QIs. Data Extraction and Synthesis: extracted data included study characteristics (country, year of publication and type of study/article), patients’ inclusion in the development of indicators and type of patient populations and point of care if applicable (eg, in-patient, out-patient and primary care). RESULTS: A total 184 full-text peer-reviewed articles were assessed for eligibility for inclusion; of these, 9 articles were included in this review. From the non–peer-reviewed literature, eight documents met the criteria for inclusion in this study. This review revealed the heterogeneity describing and defining the nature of PC-QIs. Most PC-QIs were presented as PCC measures and identified as guidelines, surveys or recommendations, and therefore cannot be classified as actual PC-QIs. Out of 502 ways to measure PCC, only 25 were considered to be actual PC-QIs. None of the identified articles implemented the quality indicators in care settings. CONCLUSION: The identification of PC-QIs is a key first step in laying the groundwork to develop evidence-based PC-QIs. Research is needed to continue the development and implementation of PC-QIs for healthcare quality improvement. BMJ Publishing Group 2019-01-07 /pmc/articles/PMC6326310/ /pubmed/30617101 http://dx.doi.org/10.1136/bmjopen-2018-023596 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Patient-Centred Medicine Santana, Maria-Jose Ahmed, Sadia Lorenzetti, Diane Jolley, Rachel J Manalili, Kimberly Zelinsky, Sandra Quan, Hude Lu, Mingshan Measuring patient-centred system performance: a scoping review of patient-centred care quality indicators |
title | Measuring patient-centred system performance: a scoping review of patient-centred care quality indicators |
title_full | Measuring patient-centred system performance: a scoping review of patient-centred care quality indicators |
title_fullStr | Measuring patient-centred system performance: a scoping review of patient-centred care quality indicators |
title_full_unstemmed | Measuring patient-centred system performance: a scoping review of patient-centred care quality indicators |
title_short | Measuring patient-centred system performance: a scoping review of patient-centred care quality indicators |
title_sort | measuring patient-centred system performance: a scoping review of patient-centred care quality indicators |
topic | Patient-Centred Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6326310/ https://www.ncbi.nlm.nih.gov/pubmed/30617101 http://dx.doi.org/10.1136/bmjopen-2018-023596 |
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