患者参与医疗保健问卷的编制与心理计量学评估。

Development and Psychometric Evaluation of the Patient Engagement in Health Care Questionnaire.

机构信息

Second Military Medical University School of Nursing, Shanghai, China (Drs Wu and Ye); Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Ms Wu); and Isolation and Detoxification Medical Center of Shanghai Police, Shanghai, China (Ms Zhao).

出版信息

J Nurs Care Qual. 2020 Jul/Sep;35(3):E35-E40. doi: 10.1097/NCQ.0000000000000439.

DOI:10.1097/NCQ.0000000000000439

PMID:32433156

Abstract

BACKGROUND

Patient engagement in health care can contribute to improving care quality and safety. A valid measurement is essential for promoting it.

PURPOSE

The purpose was to develop the Patient Engagement in Health Care Questionnaire and test its psychometric properties.

METHODS

An item pool was generated based on a literature review and qualitative research, and was reviewed by 2 expert panels. Two rounds of survey, with 364 and 433 patients, respectively, were conducted to evaluate psychometric properties of the questionnaire.

RESULTS

The questionnaire consists of 33 items. Exploratory factor analysis revealed a 6-factor model, explaining 67.16% of the variance, which included communication and information exchange, engaging in treatment and care, engaging in decision-making, giving feedback about care quality, monitoring care safety, and choosing health care providers. Confirmatory factor analysis indicated that the 6-factor model fit the data well. The scale-level content validity index, Cronbach α, and test-retest reliability were 0.935, 0.928, 0.882, respectively.

CONCLUSIONS

The Patient Engagement in Health Care Questionnaire is a reliable and valid tool to assess patient engagement.

摘要

背景

患者参与医疗保健可以有助于提高医疗质量和安全性。有效的测量方法对于促进患者参与至关重要。

目的

旨在开发患者参与医疗保健问卷并测试其心理测量学特性。

方法

根据文献回顾和定性研究生成一个项目池，并由两个专家小组进行审查。进行了两轮调查，分别有 364 名和 433 名患者参与，以评估问卷的心理测量学特性。

结果

问卷由 33 个项目组成。探索性因素分析显示，有 6 个因素模型，解释了 67.16%的方差，包括沟通和信息交流、参与治疗和护理、参与决策、提供护理质量反馈、监测护理安全以及选择医疗保健提供者。验证性因素分析表明，6 因素模型很好地拟合了数据。量表水平的内容效度指数、Cronbach α 和重测信度分别为 0.935、0.928 和 0.882。