Analyzing Risk Communication, Trust, Risk Perception, Negative Emotions, and Behavioral Coping Strategies During the COVID-19 Pandemic in China Using a Structural Equation Model

The Public's Self-Avoidance and Other-Reliance in the Reporting of Medical Insurance Fraud: A Cross-Sectional Survey in China

Purpose

To understand the public's self-willingness to report medical insurance fraud and their expectations on others, to provide a reference for the government to do a good job in medical insurance anti-fraud.

Methods

Data were obtained from a questionnaire survey of 846 respondents in China. Descriptive statistical analyses and multinomial logistic regression were used to analyze the different subjective attitudes of the public toward different subjects when faced with medical insurance fraud and the influencing factors.

Results

511 (60.40%) respondents were willing to report medical insurance fraud, while 739 (87.35%) respondents expected others to report it. 485 (57.33%) respondents were willing and expected others to report medical insurance fraud, followed by those who were not willing but expected others to report it (254, 30.02%). Compared to those who were unwilling to report themselves and did not want others to report, those who believe their reporting is useless (OR=3.13, 95% CI=1.15-8.33) and those who fear for their safety after reporting (OR=2.96, 95% CI=1.66-5.26) were more likely to expect others to report. Self-reporting willingness was stronger among the public who were satisfied with the government's protective measures for the safety of whistleblowers (OR=4.43, 95% CI=1.38-14.17). The public who believe that both themselves and others have responsibilities to report medical insurance fraud were willing to report and expect others to do the same.

Conclusion

The public had a "self-avoidance" and "other-reliance" mentality in medical insurance anti-fraud. The free-rider mentality, lack of empathy, concerns about own risk after reporting, and the interference of decentralized responsibility were important factors contributing to this public mentality. At this stage, the government should prevent the public's "collective indifference" in medical insurance anti-fraud efforts. Improving the safety and protection of whistleblowers and making everyone feel more responsible and valued may be effective incentives to enhance the public's willingness to report.

The Relationship Between Communicative Actions, Behavioral Intentions, and Corporate Reputation in the Framework of Situational Theory of Problem Solving in a Public Health Crisis

Objectives: This study aims to determine the individuals' communicative actions based on the basic assumptions of the situational theory of problem solving (STOPS) and the effect of these actions on people's willingness to follow WHO's instructions in the event of an epidemic. It also seeks to determine the impact of corporate reputation on people's communicative actions and intention to follow instructions. Methods: Data were collected digitally from 261 graduate students enrolled at a state university in the Eastern Anatolia Region of Turkey. A structural equation model (SEM) was employed for data analysis. Results: Perceptual antecedents affected situational motivation, and situational motivation affected communicative actions. Communicative actions were a determining factor in individuals' willingness to follow instructions. The perception of corporate reputation influenced both communicative actions and people's willingness to follow instructions. Conclusion: The study revealed that STOPS can provide an important theoretical framework for more effective risk communication practices in public health crises such as epidemics. It also displayed the relationship between the individuals' communicative actions and their willingness to follow instructions and the determining effect of corporate reputation on both of these factors.

Social Media Fact-Checking: The Effects of News Literacy and News Trust on the Intent to Verify Health-Related Information

The recent health crisis and the rapid development of Artificial Intelligence have caused misinformation on social media to flourish by becoming more sophisticated and challenging to detect. This calls upon fact-checking and questions users' competencies and attitudes when assessing social media news. Our study provides a model of how fact-checking intent is explained by news literacy and news trust to examine how users behave in the misinformation-prone social media environment. Structural equation modeling was used to examine survey data gathered from social media users. The findings revealed that users' intent to fact-check information in social media news is explained by (1) news literacy, such as the awareness of various techniques used by creators to depict situations about COVID-19; (2) news trust, in terms of the conviction that the news contains all the essential facts; and (3) intent, such as an aim to check information in multiple pieces of news. The presented findings may aid policymakers and practitioners in developing efficient communication strategies for addressing users less prone to fact-checking. Our contribution offers a new understanding of news literacy as a sufficient tool for combating misinformation, which actively equips users with knowledge and an attitude for social media news fact-checking.

Configurations for positive public behaviors in response to the COVID-19 pandemic: a fuzzy set qualitative comparative analysis

BACKGROUND

The COVID-19 crisis poses considerable threats to public health, and exploring the key configuration conditions of the public behavior response is very important for emergency risk management.

OBJECTIVE

This study attempts to reveal differences in the conditional configuration and mechanism of public behavior based on the proposed framework, further make up for the deficiencies of existing research in explaining such issues as "How to promote the public's protective behavior or reduce the public's excessive behavior?" and finally provide new evidence and ideas for the government to improve the emergency management system.

METHODS

A total of 735 valid cases were obtained using an online survey and revealed the conditional configuration and mechanism of public behavior differences through a fuzzy set qualitative comparative analysis based on the proposed public behavioral framework.

RESULTS

The results show that critical factors including risk communication, trust, risk perception, and negative emotions alone did not constitute a necessary condition for public protective or excessive behavior. The different configurations of influencing factors reveal the complexity of public behavioral risk management, and taking adequate measures to increase public trust and reduce negative public emotions constitute the core path of risk management to enhance positive public behavior.

CONCLUSIONS

The configurations of various influencing factors reveal the complexity of public behavioral risk management. For behavioral risk management, governments should focus on adapting to multiple conditions according to their situations and, under the "overall perspective," formulate policies based on local conditions and further form a differentiated risk management path. Practically speaking, for the government, taking adequate measures to increase public trust and reduce negative public emotions is the core path of risk management to enhance positive public behavior.