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S-TIMHSS的开发与验证:一种用于指导和评估(重新)建立信任干预措施的质量指标。

Development and validation of the S-TIMHSS: a quality metric to inform and evaluate interventions to (re)build trust.

作者信息

Meyer Samantha B, Little Jerrica, Ward Paul R, Brown Patrick, Calnan Michael

机构信息

School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada.

Centre for Public Health, Equity and Human Flourishing, Torrens University, Adelaide, SA, Australia.

出版信息

Front Public Health. 2025 Apr 30;13:1568836. doi: 10.3389/fpubh.2025.1568836. eCollection 2025.

Abstract

INTRODUCTION

Public acceptance of health messaging, recommendations, and policy is heavily dependent on the public's trust in doctors, health systems and health policy. Any erosion of public trust in these domains is thus a concern for public health as it can no longer be assumed that the public will follow official health recommendations. In response, the health policy and health services communities have emphasized a commitment to (re)building trust in healthcare. As such, measures of trust that can be used to develop and evaluate interventions to (re)build trust are highly valuable. In 2024, the Trust in Multidimensional Health System Scale (TIMHSS) was published, providing the first measure of trust in healthcare that includes doctors, the system and health policy within a single measure. This measure can effectively facilitate research on trust across diverse populations. However, it is limited in its application because results cannot be directly added together for a total trust score. Further, at 38-items, it is burdensome for respondents and analysts, particularly when being used as a repeat measure in an applied setting. The aim of the present work was to develop a shortened measure of trust in healthcare for use in applied settings.

METHODS

Survey data were collected ( = 512; in Sept 2024) to reduce the number of items and to test if the factor structure was consistent with the original TIMHSS. Several statistical criteria were used to support item reduction (i.e., correlated errors, measurement invariance, inter-item correlations, factor loadings and communalities, item-total correlation, and skewness), as well as an exercise testing the content validity ratio (CVR). We then tested a three-factor model based on the 18 items that remained following the CVR and statistical test metrices to finalize the measure.

RESULTS

The S-TIMHSS is an 18-item scale that allows for direct scoring of trust items for applied research. It preserves the content, convergent, and criterion validity of the original 38-item version.

DISCUSSION

We recommend the measure be used by health policy makers and practitioners as a quality metric to inform and evaluate interventions which aim to (re)build trust in doctors, health systems and health policy.

摘要

引言

公众对健康信息、建议和政策的接受程度在很大程度上取决于公众对医生、卫生系统和卫生政策的信任。因此,公众在这些领域的信任度受到任何侵蚀都值得公共卫生领域关注,因为不能再假定公众会遵循官方的健康建议。作为回应,卫生政策和卫生服务领域强调致力于(重新)建立对医疗保健的信任。因此,可用于制定和评估(重新)建立信任的干预措施的信任度衡量标准非常有价值。2024年,多维卫生系统信任量表(TIMHSS)发布,它是首个在单一衡量标准中涵盖对医生、系统和卫生政策的信任度的医疗保健信任度衡量标准。该衡量标准能够有效推动针对不同人群的信任度研究。然而,其应用存在局限性,因为结果不能直接相加得出总体信任得分。此外,该量表有38个项目,对受访者和分析人员来说负担较重,尤其是在应用场景中用作重复测量时。本研究的目的是开发一种缩短版的医疗保健信任度衡量标准,用于应用场景。

方法

收集了调查数据(n = 512;2024年9月),以减少项目数量并测试因子结构是否与原始TIMHSS一致。使用了几个统计标准来支持项目缩减(即相关误差、测量不变性、项目间相关性、因子载荷和共同度、项目-总分相关性以及偏度),还进行了一项测试内容效度比(CVR)的练习。然后,我们基于在CVR和统计测试指标之后保留的18个项目测试了一个三因素模型,以最终确定该衡量标准。

结果

简化版多维卫生系统信任量表(S-TIMHSS)是一个包含18个项目的量表,可对应用研究中的信任项目进行直接评分。它保留了原始38个项目版本的内容效度、收敛效度和效标效度。

讨论

我们建议卫生政策制定者和从业者使用该衡量标准作为一个质量指标,为旨在(重新)建立对医生、卫生系统和卫生政策的信任的干预措施提供信息并进行评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5abf/12076479/0bf9e8b373c0/fpubh-13-1568836-g001.jpg

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