Dataset Information

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

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.

SUBMITTER: Santana MJ

PROVIDER: S-EPMC6326310 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Santana Maria-Jose MJ Ahmed Sadia S Lorenzetti Diane D Jolley Rachel J RJ Manalili Kimberly K Zelinsky Sandra S Quan Hude H Lu Mingshan M

BMJ open 20190107 1

<h4>Objectives</h4>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.<h4>Methods</h4>Design: scoping review.<h4>Data sources</h4>studies were identified through searching seven electronic databases and the grey literature. Search terms included quality improvement, q ...[more]

PMID: 30617101

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Dataset Information

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

Objectives

Methods

Data sources

Data extraction and synthesis

Results

Conclusion

Publications

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

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