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      Understanding the types of fraud in claims to South African medical schemes

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      SAMJ: South African Medical Journal
      Health and Medical Publishing Group

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          Abstract

          BACKGROUND. Medical schemes play a significant role in funding private healthcare in South Africa (SA). However, the sector is negatively affected by the high rate of fraudulent claims. OBJECTIVES. To identify the types of fraudulent activities committed in SA medical scheme claims. METHODS. A cross-sectional qualitative study was conducted, adopting a case study strategy. A sample of 15 employees was purposively selected from a single medical scheme administration company in SA. Semi-structured interviews were conducted to collect data from study participants. A thematic analysis of the data was done using ATLAS.ti software (ATLAS.ti Scientific Software Development, Germany). RESULTS. The study population comprised the 17 companies that administer medical schemes in SA. Data were collected from 15 study participants, who were selected from the medical scheme administrator chosen as a case study. The study found that medical schemes were defrauded in numerous ways. The perpetrators of this type of fraud include healthcare service providers, medical scheme members, employees, brokers and syndicates. Medical schemes are mostly defrauded by the submission of false claims by service providers and syndicates. Fraud committed by medical scheme members encompasses the sharing of medical scheme benefits with non-members (card farming) and non-disclosure of pre-existing conditions at the application stage. CONCLUSIONS. The study concluded that perpetrators of fraud have found several ways of defrauding SA medical schemes regarding claims. Understanding and identifying the types of fraud events facing medical schemes is the initial step towards establishing methods to mitigate this risk. Future studies should examine strategies to manage fraudulent medical scheme claims.

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          Most cited references11

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          The fraud diamond: considering the four elements of fraud

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            Health care financing in South Africa: moving towards universal coverage

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              Improving Fraud and Abuse Detection in General Physician Claims: A Data Mining Study.

              We aimed to identify the indicators of healthcare fraud and abuse in general physicians' drug prescription claims, and to identify a subset of general physicians that were more likely to have committed fraud and abuse.
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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Journal
                samj
                SAMJ: South African Medical Journal
                SAMJ, S. Afr. med. j.
                Health and Medical Publishing Group (Cape Town, Western Cape Province, South Africa )
                0256-9574
                2078-5135
                April 2018
                : 108
                : 4
                : 299-303
                Affiliations
                [01] Pretoria orgnameUniversity of South Africa orgdiv1College of Economic and Management Sciences orgdiv2School of Economic and Financial Sciences South Africa
                Article
                S0256-95742018000400017
                10.7196/samj.2018.v108i4.12758
                6bc51f54-26fd-4d4e-883d-2eb123bfb5d8

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 21, Pages: 5
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                SciELO South Africa


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