Abstract
Objectives
The purpose of this study is to investigate the factors influencing the occurrence of medical insurance opportunistic behavior among the public in Northeast China and its importance ranking.
Methods
Data are from a self-administered anonymous questionnaire survey of participants in Northeast China conducted from January to December 2019. Using a stratified sampling method, a sample of 895 residents aged 18 years or older was selected for the study and analysis. We used a stepwise logistic regression model to analyze the factors influencing the opportunistic behavior of the public within the medical insurance domain and standardized the coefficients of the independent variables in the model to further determine the degree of importance of the relevant influencing factors.
Results
Opportunistic behavior was found in 34.2% of the participants. The order of importance of the factors influencing participants’ opportunistic behavior were the frequency of occurrence of overmedication by medical practitioners, age, participants’ evaluation of the harm of opportunistic behavior in medical insurance, marital status, participants’ evaluation of the nature of opportunistic behavior in medical insurance, and participants’ evaluation of the prevalence of opportunistic behavior in medical insurance.
Conclusion
One-third of the participants in northeastern China engage in medical insurance opportunistic behavior. Among them, the frequency of occurrence of overmedication by medical practitioners is the most important factor influencing whether opportunistic behavior occurs.
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Availability of data and materials
The summary datasets generated and analyzed during the current study are not publicly available because the datasets are currently used for another project, but are available from the corresponding author on reasonable request under the data transfer agreement.
References
Abelson MA (1987) Examination of avoidable and unavoidable turnover. J Appl Psychol 72(3):382–386. https://doi.org/10.1037/0021-9010.72.3.382
Ajzen I, Kruglanski AW (2019) Reasoned action in the service of goal pursuit. Psychol Rev 126(5):774–786. https://doi.org/10.1037/rev0000155
Bertrand M, Luttmer EFP, Mullainathan S (2000) Network effects and welfare cultures*. Quarterly J Econ 115(3):1019–1055. https://doi.org/10.1162/003355300554971
Bonabeau E (2004) The perils of the imitation age. Harvard Business Rev 82(6):45–54, 135. https://doi.org/10.1023/B:GEPA.0000032567.15264.d2
Brink DO (2005) Some forms and limits of consequentialism. https://doi.org/10.1093/oxfordhb/9780195325911.003.0015
Chen X, Ma Y, Wu R, Liu X (2021) Moderating roles of social support in the association between hope and life satisfaction among ethnic minority college students in China. Int J Environ Res Public Health 18(5). https://doi.org/10.3390/ijerph18052298
Dean DH (2004) Perceptions of the ethicality of consumer insurance claim fraud. J Business Ethics 54:67–79. https://doi.org/10.1023/B:BUSI.0000043493.79787.e6
Deng Z (2013) Understanding public users’ adoption of mobile health service. Int J Mobile Commun 11(4):351–373. https://doi.org/10.1504/IJMC.2013.055748
Dong L (2015) Research on credit risk management of Internet insurance in China. Shandong University of Finance and Economics
Dongfang Z (2020) Research on influencing factors of medical care expenditure of urban residents in China. Central China Normal University. https://doi.org/10.27159/d.cnki.ghzsu.2020.000639
European Healthcare Fraud & Corruption Network (2012) http://www.ehfcn.org/what-is-fraud/
Geyman J (2021) Investor-owned health care: the hidden blight on America's "system". Int J Health Serv 51(4):494–500. https://doi.org/10.1177/00207314211015806
Govindan K, Zhuang Y, Chen G (2022) Analysis of factors influencing residents' waste sorting behavior: a case study of Shanghai. Journal of Cleaner Production 349:131126. https://doi.org/10.1016/j.jclepro.2022.131126
Hamid et al (2017) Academic cheating and fraud triangle theory: undergraduate students' perspectives. Adv Sci Lett 23(11):10577–10581. https://doi.org/10.1166/asl.2017.10106
Jung YJ, Kim J (2016) Facebook marketing for fashion apparel brands: effect of other consumers’ postings and type of brand comment on brand trust and purchase intention. J Global Fashion Market 7(3):196–210. https://doi.org/10.1080/20932685.2016.1162665
Kanamori M, Kondo N, Juarez S, Dunlavy A, Cederström A, Rostila M (2020) Rural life and suicide: does the effect of the community context vary by country of birth? A Swedish registry-based multilevel cohort study. Soc Sci Med 253:112958. https://doi.org/10.1016/j.socscimed.2020.112958
Labrague LJ (2021) Psychological resilience, coping behaviours and social support among health care workers during the COVID-19 pandemic: a systematic review of quantitative studies. J Nurs Manag 29(7):1893–1905. https://doi.org/10.1111/jonm.13336
Liu F (2015) Herd behavior in the insurance market: a survey. Int J Econ Fin 7(11):154–162. https://doi.org/10.5539/ijef.v7n11p154
Liu X, Hong X, Wang X (2020) Consequentialism and the boundary of morality. Philos Psychol 33(3):351–368. https://doi.org/10.1080/09515089.2020.1729975
Liu R, Chen N, Li Y (2021) The herd behavior on peer-to-peer online lending markets: evidence from China. Discrete Dynam Nature Soc 2021:6649445. https://doi.org/10.1155/2021/6649445
Ma J, Guo Z, Hong Y (2019) Demand–supply dynamics in FMCG business: exploration of customers’ herd behavior. Nonlinear Dynamics 98(3):1669–1681. https://doi.org/10.1007/s11071-019-05278-x
Medical insurance fund use supervision and management regulations (2021) http://www.gov.cn/gongbao/content/2021/content_5591403.htm
Menard S (2011) Standards for standardized logistic regression coefficients. Social Forces 89(4):1409–1428. https://doi.org/10.1093/sf/89.4.1409
Merguei N, Strobel M, Vostroknutov A (2022) Moral opportunism as a consequence of decision making under uncertainty. J Econ Behav Organization 197:624–642. https://doi.org/10.1016/j.jebo.2022.03.020
Morris L (2009) Combating fraud in health care: an essential component of any cost containment strategy. Health Aff (Millwood) 28(5):1351–1356. https://doi.org/10.1377/hlthaff.28.5.1351
Offen ML (1999) Health care fraud. Neurol Clin 17(2):321–333. https://doi.org/10.1016/s0733-8619(05)70135-3
Peltier-Rivest D (2017) The prevention and detection of corruption in pharmaceutical companies. Pharmaceut Policy Law 19(1-2):17–31. https://doi.org/10.3233/PPL-170451
Qin Y et al (2022) How do moral hazard behaviors lead to the waste of medical insurance funds? An empirical study from China. Front Public Health 10:988492. https://doi.org/10.3389/fpubh.2022.988492
Ripoll G, Schott C (2020) Does public service motivation foster justification of unethical behavior? Evidence from survey research among citizens. Int Public Manag J. https://doi.org/10.1080/10967494.2020.1825576
Romaniuk K (2021) Pension insurance schemes and moral hazard: The Pension Benefit Guaranty Corporation should restrict the insured pension plans’ portfolio policy. Quarterly Rev Econ Finance 82:37–43. https://doi.org/10.1016/j.qref.2021.06.015
Savulescu J, Persson I, Wilkinson D (2020) Utilitarianism and the pandemic. Bioethics 34(6):620–632. https://doi.org/10.1111/bioe.12771
Semoun O, Sevilla-Dedieu C (2015) Psychotropic drug consumption among older people enrolled in a French private health insurance plan. Drugs Real World Outcomes 2(3):217–225. https://doi.org/10.1007/s40801-015-0029-2
Simborg DW (2008) Healthcare fraud: whose problem is it anyway? J Am Med Inform Assoc 15(3):278–280. https://doi.org/10.1197/jamia.M2672
Sparrow MK (2008) Fraud in the US health-care system: exposing the vulnerabilities of automated payments systems. Social Res: Int Quarterly 75(4):1151–1180
Statistical Bulletin on the Development of China’s Health Service in 2021 (2022) http://www.gov.cn/xinwen/2022-07/12/content_5700670.htm
Statistical Bulletin on the Development of Health and Family Planning in China in 2015 (2016) http://www.gov.cn/shuju/2016-07/21/content_5093411.htm
Statistical snapshot of the development of the medical insurance business in 2021 (2022) http://www.gov.cn/guoqing/2022-03/23/content_5680879.htm
Sun Y, Wang N, Guo X, Peng Z (2013) Understanding the acceptance of mobile health services: a comparison and integration of alternative models. J Electronic Commerce Res 14(2):183
Tennyson CS (1996) Moral hazard in insurance claiming: Evidence from automobile insurance. J Risk Uncertainty. https://doi.org/10.1007/BF00353329
Tennyson S (1997) Economic institutions and individual ethics: a study of consumer attitudes toward insurance fraud. J Econ Behavior Organiz 32(2):247–265. https://doi.org/10.1016/S0167-2681(96)00904-3
Tennyson S (2008) Moral, social, and economic dimensions of insurance claims fraud. Social Res 75(4):1181–1204
Timofeyev Y, Jakovljevic M (2020) Fraudster's and victims' profiles and loss predictors' hierarchy in the mental healthcare industry in the US. J Med Econ 23(10):1111–1122. https://doi.org/10.1080/13696998.2020.1801454
Vedadi A, Warkentin M, Dennis A (2021) Herd behavior in information security decision-making. Inform Manag 58(8):103526. https://doi.org/10.1016/j.im.2021.103526
Wang J, Zhou HW, Lei YX, Wang XW (2012) Financial protection under the new rural cooperative medical schemes in China. Med Care 50(8):700–704. https://doi.org/10.1097/MLR.0b013e318249d8bf
Wang Y et al (2021) Analysis of the current status and associated factors of tuberculosis knowledge, attitudes, and practices among elderly people in Shenzhen: a cross-sectional study. BMC Public Health 21(1):1163. https://doi.org/10.1186/s12889-021-11240-7
Wen Y (2007) The Study on the Difficulties and Solutions of the Basic Medical Insurance Fund in China. Hebei University
Williamson OE (1993) Opportunism and its critics. Manag Decision Econ 14(2):97–107
Zhang R, Yang X, Li N, Khan MA (2021) Herd behavior in venture capital market: evidence from China. Mathematics 9(13):1509. https://doi.org/10.3390/math9131509
Funding
This study was funded by the National Natural Scientific Fund of China (72074064, 71573068), China Postdoctoral Fund (2019M650068, 2018T110319), and the National Social Science Fund of China (19AZD013). The funding body had no influence on study design, data collection, data analysis, data interpretation, or writing the manuscript.
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QS took overall responsibility for the study design. FD, JH, and GT were responsible for data analysis and manuscript writing. TZ and HZ applied and obtained the research data. JL and JX helped with data interpretation and manuscript writing. FC and QW made the charts and participated in the manuscript revision. All authors critically reviewed and revised the manuscript, and approved the final manuscript.
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Ethical approval for the study protocol was obtained from the Ethics Committee of Harbin Medical University. Informed consent was obtained from all participants prior to the start of the survey.
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Shi, Q., Zhang, H., Tian, G. et al. Factors influencing public opportunistic behavior in the medical insurance field: an empirical study from Northeast China. J Public Health (Berl.) (2023). https://doi.org/10.1007/s10389-023-01914-4
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DOI: https://doi.org/10.1007/s10389-023-01914-4