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No Evidence of the Effect of the Interventions to Combat Health Care Fraud and Abuse: A Systematic Review of Literature

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  • Arash Rashidian
  • Hossein Joudaki
  • Taryn Vian

Abstract

Background: Despite the importance of health care fraud and the political, legislative and administrative attentions paid to it, combating fraud remains a challenge to the health systems. We aimed to identify, categorize and assess the effectiveness of the interventions to combat health care fraud and abuse. Methods: The interventions to combat health care fraud can be categorized as the interventions for ‘prevention’ and ‘detection’ of fraud, and ‘response’ to fraud. We conducted sensitive search strategies on Embase, CINAHL, and PsycINFO from 1975 to 2008, and Medline from 1975–2010, and on relevant professional and organizational websites. Articles assessing the effectiveness of any intervention to combat health care fraud were eligible for inclusion in our review. We considered including the interventional studies with or without a concurrent control group. Two authors assessed the studies for inclusion, and appraised the quality of the included studies. As a limited number of studies were found, we analyzed the data using narrative synthesis. Findings: The searches retrieved 2229 titles, of which 221 full-text studies were assessed. We found no studies using an RCT design. Only four original articles (from the US and Taiwan) were included: two studies within the detection category, one in the response category, one under the detection and response categories, and no studies under the prevention category. The findings suggest that data-mining may improve fraud detection, and legal interventions as well as investment in anti-fraud activities may reduce fraud. Discussion: Our analysis shows a lack of evidence of effect of the interventions to combat health care fraud. Further studies using robust research methodologies are required in all aspects of dealing with health care fraud and abuse, assessing the effectiveness and cost-effectiveness of methods to prevent, detect, and respond to fraud in health care.

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  • Arash Rashidian & Hossein Joudaki & Taryn Vian, 2012. "No Evidence of the Effect of the Interventions to Combat Health Care Fraud and Abuse: A Systematic Review of Literature," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-8, August.
  • Handle: RePEc:plo:pone00:0041988
    DOI: 10.1371/journal.pone.0041988
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    References listed on IDEAS

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    5. Benjamin A. Olken, 2007. "Monitoring Corruption: Evidence from a Field Experiment in Indonesia," Journal of Political Economy, University of Chicago Press, vol. 115(2), pages 200-249.
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    2. Conghai Zhang & Xinyao Xiao & Chao Wu, 2020. "Medical Fraud and Abuse Detection System Based on Machine Learning," IJERPH, MDPI, vol. 17(19), pages 1-11, October.
    3. Rajeev K. Goel, 2021. "Are health care scams infectious? Empirical evidence on contagion in health care fraud," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(1), pages 198-208, January.
    4. Suhadi & Muh. Kardl Rais & Zainuddin Maidin & Alimin & Sukri Palutturi, 2015. "Fraud Prevention in Implementation in National Health Insurance Kendari City, Indonesia," International Journal of Health and Medical Sciences, Mohammad A. H. Khan, vol. 1(1), pages 17-21.
    5. Joseph Pozsgai-Alvarez & Iván Pastor Sanz, 2021. "Mapping the (anti-)corruption field: key topics and changing trends, 1968–2020," Journal of Computational Social Science, Springer, vol. 4(2), pages 851-881, November.
    6. Rajeev K. Goel, 2020. "Medical professionals and health care fraud: Do they aid or check abuse?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(4), pages 520-528, June.

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