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. 2019 Jan 7;9(1):e023596.
doi: 10.1136/bmjopen-2018-023596.

Measuring patient-centred system performance: a scoping review of patient-centred care quality indicators

Maria-Jose Santana  1   2 , Sadia Ahmed  2 , Diane Lorenzetti  1   3 , Rachel J Jolley  1 , Kimberly Manalili  1 , Sandra Zelinsky  1 , Hude Quan  1 , Mingshan Lu  1   4
Affiliations

Measuring patient-centred system performance: a scoping review of patient-centred care quality indicators

Maria-Jose Santana et al. BMJ Open. .

Abstract

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.

Keywords: healthcare quality; patient-centred care; quality improvement; quality indicators.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Flow diagram for study inclusion. PC-QIs, patient-centred quality indicators.
See this image and copyright information in PMC

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