数据提取
医学
包裹体(矿物)
质量(理念)
医疗保健
鉴定(生物学)
灰色文学
质量管理
系统回顾
梅德林
护理部
运营管理
心理学
认识论
法学
管理制度
经济
哲学
生物
社会心理学
植物
经济增长
政治学
作者
Maria J. Santana,Sadia Ahmed,Diane Lorenzetti,Rachel Jolley,Kimberly Manalili,Sandra Zelinsky,Hude Quan,Mingshan Lu
出处
期刊:BMJ Open
[BMJ]
日期:2019-01-01
卷期号:9 (1): e023596-e023596
被引量:60
标识
DOI:10.1136/bmjopen-2018-023596
摘要
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.
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