AUTHOR=Shi Zhenni , Zhang Qilin , Wang Xiaofeng TITLE=Does the disclosure of medical insurance information affect patients’ willingness to adopt the diagnosis related groups system JOURNAL=Frontiers in Public Health VOLUME=11 YEAR=2023 URL=https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2023.1136178 DOI=10.3389/fpubh.2023.1136178 ISSN=2296-2565 ABSTRACT=Introduction

Medical insurance information disclosure is not only a direct way for the public to understand and master social insurance information and resource use benefits, but also an important way for the public to participate in medical service governance and supervision. Some studies have shown that information disclosure can significantly reduce the risk perception of user groups, strengthen their trust and reduce the negative impact of information asymmetry.

Methods

Based on risk perception and trust perception theories, this paper focuses on the mechanisms influencing patients’ attitudes in the process of implementing a Diagnosis Related Groups payment system. Using medical insurance information disclosure from a governance perspective as the research object, the impact of medical insurance information disclosure on patients’ willingness to adopt the Diagnosis Related Groups payment system was analyzed by means of a questionnaire survey, Data analysis and hypothesis testing via SPSS while the mechanism of the impact of medical insurance information disclosure on patients’ attitudes was explored in depth.

Results

It was found that medical insurance information disclosure had a significant positive effect on patients’ trust perceptions and a significant negative effect on patients’ risk perceptions. The more comprehensive information patients received, the stronger their trust and the lower their perceived risk.

Discussion

This paper conducts an empirical study from patients’ perspective, broadens the scope of research on medical insurance Diagnosis related groups, enriches the application of risk perception and trust perception theories in the medical field, and provides management suggestions for medical institutions in the management of medical insurance information disclosure.