1. Development and validation of the Trust in Multidimensional Healthcare Systems Scale (TIMHSS).
- Author
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Meyer, Samantha B., Brown, Patrick, Calnan, Michael, Ward, Paul R., Little, Jerrica, Betini, Gustavo S., Perlman, Christopher M., Burns, Kathleen E., and Filice, Eric
- Subjects
MULTITRAIT multimethod techniques ,CLINICAL medicine ,THERAPEUTICS ,RESEARCH funding ,RESEARCH methodology evaluation ,KEY performance indicators (Management) ,MEDICAL care ,HEALTH policy ,EXPERIMENTAL design ,ATTITUDE (Psychology) ,RESEARCH methodology ,TRUST ,PHYSICIANS - Abstract
Context: The COVID-19 pandemic has reignited a commitment from the health policy and health services research communities to rebuilding trust in healthcare and created a renewed appetite for measures of trust for system monitoring and evaluation. The aim of the present paper was to develop a multidimensional measure of trust in healthcare that: (1) Is responsive to the conceptual and methodological limitations of existing measures; (2) Can be used to identify systemic explanations for lower levels of trust in equity-deserving populations; (3) Can be used to design and evaluate interventions aiming to (re)build trust. Methods: We conducted a 2021 review of existing measures of trust in healthcare, 72 qualitative interviews (Aug-Dec 2021; oversampling for equity-deserving populations), an expert review consensus process (Oct 2021), and factor analyses and validation testing based on two waves of survey data (Nov 2021, n = 694; Jan-Feb 2022, n = 740 respectively). Findings: We present the Trust in Multidimensional Healthcare Systems Scale (TIMHSS); a 38-item correlated three-factor measure of trust in doctors, policies, and the system. Measurement of invariance tests suggest that the TIMHSS can also be reliably administered to diverse populations. Conclusions: This global measure of trust in healthcare can be used to measure trust over time at a population level, or used within specific subpopulations, to inform interventions to (re)build trust. It can also be used within a clinical setting to provide a stronger evidence base for associations between trust and therapeutic outcomes. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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