Research on quantitative evaluation of medical insurance fraud supervision policy based on ‘Antecedents-Process-Outcomes’ framework
2025

Evaluating Medical Insurance Fraud Policies in China

Sample size: 180 publication 20 minutes Evidence: moderate

Author Information

Author(s): Zhang Zixiao, Ding Shaoqun, Yang Zitao, Hu Huaxia

Primary Institution: Southwestern University of Finance and Economics, Chengdu, Sichuan, China

Hypothesis

How effective are the current policies in preventing medical insurance fraud in China?

Conclusion

The study found that while some policies are acceptable, there is significant room for improvement in the overall effectiveness of medical insurance fraud supervision in China.

Supporting Evidence

  • The average PMC index of the 18 policies was found to be 4.98, indicating general acceptability.
  • Frequent medical insurance fraud is attributed to institutional endowments and information asymmetry.
  • Policy evaluation revealed deficiencies in policy fields, supervision chains, and tools.

Takeaway

This study looked at 180 cases of medical insurance fraud in China and evaluated 18 policies to see how well they work. It found that many policies need to be better to stop fraud.

Methodology

The study used grounded theory and the PMC index model to analyze cases of medical insurance fraud and evaluate related policies.

Potential Biases

Potential biases may arise from the selection of cases and policies evaluated.

Limitations

The study primarily focused on policies from 2018 to 2023 and may not capture all relevant factors influencing medical insurance fraud.

Participant Demographics

The study analyzed cases from various medical institutions and involved multiple stakeholders in the healthcare system.

Digital Object Identifier (DOI)

10.1371/journal.pone.0313618

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