Who is More Likely to Report Medical Insurance Fraud in the Two Scenarios of Whether It Results in a Direct Loss of Individual Benefit? A Cross-Sectional Survey in China.

individual loss of direct benefits medical insurance fraud whistleblowing willingness

Journal

Psychology research and behavior management
ISSN: 1179-1578
Titre abrégé: Psychol Res Behav Manag
Pays: New Zealand
ID NLM: 101514563

Informations de publication

Date de publication:
2022
Historique:
received: 24 05 2022
accepted: 18 08 2022
entrez: 1 9 2022
pubmed: 2 9 2022
medline: 2 9 2022
Statut: epublish

Résumé

An individual's willingness to report is largely related to whether he or she is a direct victim. This study takes two scenarios of whether medical insurance fraud results in a direct loss of personal benefit and explores the differences in individuals' willingness to report and influencing factors in the two scenarios. In this study, questionnaires were used and participants were selected from 571 individuals in eastern, central, and western China. Analysis was performed using descriptive statistics and logistic regression models. 51.0% of individuals were willing to report when no direct loss of personal benefit was caused, and conversely, 78.3% of individuals were willing to report when direct loss of personal benefit was caused. The factors influencing the attitude dimension of individuals toward whistleblowing behavior were consistent in the two scenarios. In contrast, there were significant differences among the influences in the perceived behavioral control, consequence perception, and subjective norm dimensions. There were significant differences in the willingness of individuals to report medical insurance fraud and the factors influencing it in both scenarios. The most significantly influencing factor difference was perceived behavioral control, a dimension that had an effect only when it did not result in a direct loss of personal benefit. When an individual's direct interests are at stake, the individual's fear for his or her safety is not a deterrent to his or her willingness to report. And when there is no loss of direct personal benefit, individuals care more about government measures to protect whistleblowers. There are differences in the subjects that influence individuals' willingness to report in the two scenarios. The factors influencing the attitude dimension are the same in both scenarios, and the more supportive the attitude toward the whistleblower, the stronger the individual's willingness to report will be.

Identifiants

pubmed: 36046254
doi: 10.2147/PRBM.S375823
pii: 375823
pmc: PMC9420925
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2331-2341

Informations de copyright

© 2022 Zhang et al.

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Hongyu Zhang (H)

School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.

Ting Zhang (T)

School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.

Qi Shi (Q)

School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.

Jian Liu (J)

School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.

Jinpeng Xu (J)

School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.

Bokai Zhang (B)

School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.

Haixin Wang (H)

School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.

Guomei Tian (G)

Department of Nuclear Medicine, The Fourth Hospital of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.

Qunhong Wu (Q)

School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.

Zheng Kang (Z)

School of Health Management, Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.

Classifications MeSH