IDEAS home Printed from https://ideas.repec.org/a/bpj/apjrin/v5y2011i1n6.html
   My bibliography  Save this article

Who Uses Physiotherapy Services for Motor Vehicle-Induced Whiplash-Associated Disorders? Interrogating Motor Accident Insurance Data for 2006-2009

Author

Listed:
  • Grimmer-Somers Karen

    (University of South Australia)

  • Milanese Steve

    (University of South Australia)

  • Brennan Carolyn

    (Motor Accident Commission, Adelaide)

  • Mifsud Ivan

    (Motor Accident Commission, Adelaide)

Abstract

Objectives: Little is known about who uses physiotherapy services for whiplash injuries sustained in motor-vehicle accidents. Compensable agencies around Australia are grappling with ways to identify early claimants who are likely to consume different types of health services. The objectives were to identify key characteristics of a typical user of physiotherapy services for motor-vehicle accident-induced whiplash-associated disorders.Method: A dataset was provided by the Motor Accident Commission (MAC) in South Australia which included demographic, socioeconomic and accident information on WAD claimants from 2006-2009. Univariate and multiple logistic regression models were developed to test the association between physiotherapy service use, claimant demographics, socioeconomic status, and accident descriptors.Results: A typical consumer of physiotherapy services for WAD was female, aged between 40 and 79 years, living in upper middle or high socioeconomic suburbs, with legal representation, and who has been assigned at least three MAC injury codes (denoting severe injury). She was the driver of the car. She was wearing a seatbelt at the time of the accident, and the accident occurred on hard dry road surfaces. Her accident was unlikely to be angular.Conclusion: A clear profile of a WAD claimant who would consume physiotherapy services was established.

Suggested Citation

  • Grimmer-Somers Karen & Milanese Steve & Brennan Carolyn & Mifsud Ivan, 2011. "Who Uses Physiotherapy Services for Motor Vehicle-Induced Whiplash-Associated Disorders? Interrogating Motor Accident Insurance Data for 2006-2009," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 5(1), pages 1-17, March.
    • Handle: RePEc:bpj:apjrin:v:5:y:2011:i:1:n:6
    DOI: 10.2202/2153-3792.1081
    as

    Download full text from publisher

    File URL: https://doi.org/10.2202/2153-3792.1081
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.2202/2153-3792.1081?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. G. Dionne & F. Giuliano & P. Picard, 2002. "Optimal auditing for insurance fraud," THEMA Working Papers 2002-32, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jean-Marc Bourgeon & Pierre Picard, 2014. "Fraudulent Claims and Nitpicky Insurers," American Economic Review, American Economic Association, vol. 104(9), pages 2900-2917, September.
    2. Lammers, Frauke & Schiller, Jörg, 2010. "Contract design and insurance fraud: An experimental investigation," FZID Discussion Papers 19-2010, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    3. Dionne, Georges & Harrington, Scott, 2017. "Insurance and Insurance Markets," Working Papers 17-2, HEC Montreal, Canada Research Chair in Risk Management.
    4. Jörg Schiller, 2006. "The Impact of Insurance Fraud Detection Systems," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 73(3), pages 421-438, September.
    5. Jean Pinquet & Mercedes Ayuso & Montserrat Guillén, 2007. "Selection Bias and Auditing Policies for Insurance Claims," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 74(2), pages 425-440, June.
    6. Véronique Van Vlasselaer & Tina Eliassi-Rad & Leman Akoglu & Monique Snoeck & Bart Baesens, 2017. "GOTCHA! Network-Based Fraud Detection for Social Security Fraud," Management Science, INFORMS, vol. 63(9), pages 3090-3110, September.
    7. John Bone & Dominic Spengler, 2014. "Does Reporting Decrease Corruption?," Journal of Interdisciplinary Economics, , vol. 26(1-2), pages 161-186, January.
    8. William Lesch & Johannes Brinkmann, 2011. "Consumer Insurance Fraud/Abuse as Co-creation and Co-responsibility: A New Paradigm," Journal of Business Ethics, Springer, vol. 103(1), pages 17-32, April.
    9. Dionne, Georges & Wang, Kili, 2011. "Does opportunistic fraud in automobile theft insurance fluctuate with the business cycle?," Working Papers 11-4, HEC Montreal, Canada Research Chair in Risk Management.
    10. Lang, Matthias & Wambach, Achim, 2013. "The fog of fraud – Mitigating fraud by strategic ambiguity," Games and Economic Behavior, Elsevier, vol. 81(C), pages 255-275.
    11. Appelgren, Leif, 2020. "A survey of models for determining optimal audit strategies," Advances in accounting, Elsevier, vol. 48(C).
    12. John E. Murray, 2011. "Asymmetric Information and Countermeasures in Early Twentieth‐Century American Short‐Term Disability Microinsurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 78(1), pages 117-138, March.
    13. Steven B. Caudill & Mercedes Ayuso & Montserrat Guillén, 2005. "Fraud Detection Using a Multinomial Logit Model With Missing Information," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 72(4), pages 539-550, December.
    14. Jing Ai & Patrick L. Brockett & Linda L. Golden & Montserrat Guillén, 2013. "A Robust Unsupervised Method for Fraud Rate Estimation," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 80(1), pages 121-143, March.
    15. Nicola Gennaioli & Rafael La Porta & Florencio Lopez-de-Silanes & Andrei Shleifer, 2022. "Trust and Insurance Contracts," The Review of Financial Studies, Society for Financial Studies, vol. 35(12), pages 5287-5333.
    16. Bénédicte Coestier & Nathalie Fombaron, 2003. "L'audit en assurance," THEMA Working Papers 2003-41, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    17. Michael Ludkovski & Virginia R. Young, 2010. "Ex Post Moral Hazard and Bayesian Learning in Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(4), pages 829-856, December.
    18. Konrad, Kai A. & Lohse, Tim & Qari, Salmai, 2014. "Deception choice and self-selection – The importance of being earnest," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 25-39.
    19. Abe Dunn & Joshua D. Gottlieb & Adam Shapiro & Daniel J. Sonnenstuhl & Pietro Tebaldi, 2021. "A Denial a Day Keeps the Doctor Away," NBER Working Papers 29010, National Bureau of Economic Research, Inc.
    20. Viaene, Stijn & Ayuso, Mercedes & Guillen, Montserrat & Van Gheel, Dirk & Dedene, Guido, 2007. "Strategies for detecting fraudulent claims in the automobile insurance industry," European Journal of Operational Research, Elsevier, vol. 176(1), pages 565-583, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:apjrin:v:5:y:2011:i:1:n:6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.