IDEAS home Printed from https://ideas.repec.org/a/spr/pharme/v36y2018i11d10.1007_s40273-018-0691-9.html
   My bibliography  Save this article

Medical Care Costs Associated with Genital Warts for Commercially Insured US Patients

Author

Listed:
  • Kristina R. Dahlstrom

    (The University of Texas MD Anderson Cancer Center)

  • Shuangshuang Fu

    (The University of Texas MD Anderson Cancer Center
    The University of Texas Health Science Center at Houston)

  • Wenyaw Chan

    (The University of Texas Health Science Center at Houston)

  • Zeena Shelal

    (The University of Texas MD Anderson Cancer Center)

  • Lois M. Ramondetta

    (The University of Texas MD Anderson Cancer Center)

  • David R. Lairson

    (The University of Texas Health Science Center at Houston)

Abstract

Introduction Genital warts are caused by infection with human papillomavirus (HPV) and are associated with significant morbidity. Primary prevention of genital warts is possible through HPV vaccination, but vaccination rates remain low in the USA. When deciding to implement HPV vaccination programs, public health officials and policy makers rely on cost-effectiveness studies that accurately reflect costs associated with morbidity and mortality. However, previous information on the cost of treating genital warts was outdated. Objectives We estimated the mean direct medical care costs associated with genital warts in the USA. Methods This was a retrospective case–control study of patients diagnosed with genital warts and matched controls. We used commercial healthcare claims data from 2011 through 2014 to estimate total 1- and 2-year costs from date of diagnosis. We used a generalized linear model to identify factors associated with monthly costs. Results We identified 34,686 eligible cases of genital warts during the period 2011–2014. The first 2-year mean direct medical cost differences between cases and controls were US$6737 for the USA. Costs were significantly higher in the first 3 months following diagnosis and were higher among older individuals, women, those with co-morbidities or psychiatric illnesses, and those located in the south and southwest USA. Conclusions The mean direct cost of treating genital warts is approximately US$6700 in the first 2 years after diagnosis in the USA. These data can assist policy makers in decisions with respect to allocation of resources to implement HPV vaccine programs.

Suggested Citation

  • Kristina R. Dahlstrom & Shuangshuang Fu & Wenyaw Chan & Zeena Shelal & Lois M. Ramondetta & David R. Lairson, 2018. "Medical Care Costs Associated with Genital Warts for Commercially Insured US Patients," PharmacoEconomics, Springer, vol. 36(11), pages 1355-1365, November.
  • Handle: RePEc:spr:pharme:v:36:y:2018:i:11:d:10.1007_s40273-018-0691-9
    DOI: 10.1007/s40273-018-0691-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40273-018-0691-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40273-018-0691-9?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. Glick, Henry A. & Doshi, Jalpa A. & Sonnad, Seema S. & Polsky, Daniel, 2014. "Economic Evaluation in Clinical Trials," OUP Catalogue, Oxford University Press, edition 2, number 9780199685028.
    2. T. Joseph Mattingly & C. Daniel Mullins & Eberechukwu Onukwugha, 2016. "Publication of Cost-of-Illness Studies: Does Methodological Complexity Matter?," PharmacoEconomics, Springer, vol. 34(10), pages 1067-1070, October.
    3. Manning, Willard G, et al, 1987. "Health Insurance and the Demand for Medical Care: Evidence from a Randomized Experiment," American Economic Review, American Economic Association, vol. 77(3), pages 251-277, June.
    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. Charles Courtemanche & James Marton & Benjamin Ukert & Aaron Yelowitz & Daniela Zapata, 2018. "Early Effects of the Affordable Care Act on Health Care Access, Risky Health Behaviors, and Self‐Assessed Health," Southern Economic Journal, John Wiley & Sons, vol. 84(3), pages 660-691, January.
    2. Pierre-Thomas Léger & Erin C. Strumpf, 2010. "Système de paiement des médecins : bref de politique," CIRANO Project Reports 2010rp-12, CIRANO.
    3. Tal Gross & Timothy J. Layton & Daniel Prinz, 2022. "The Liquidity Sensitivity of Healthcare Consumption: Evidence from Social Security Payments," American Economic Review: Insights, American Economic Association, vol. 4(2), pages 175-190, June.
    4. Jonathan Gruber, 2008. "Covering the Uninsured in the U.S," NBER Working Papers 13758, National Bureau of Economic Research, Inc.
    5. Dionne, Georges, 1998. "La mesure empirique des problèmes d’information," L'Actualité Economique, Société Canadienne de Science Economique, vol. 74(4), pages 585-606, décembre.
    6. Trottmann, Maria & Zweifel, Peter & Beck, Konstantin, 2012. "Supply-side and demand-side cost sharing in deregulated social health insurance: Which is more effective?," Journal of Health Economics, Elsevier, vol. 31(1), pages 231-242.
    7. Michael Geruso & Timothy J. Layton & Jacob Wallace, 2023. "What Difference Does a Health Plan Make? Evidence from Random Plan Assignment in Medicaid," American Economic Journal: Applied Economics, American Economic Association, vol. 15(3), pages 341-379, July.
    8. Subir K. Chakrabarti & Srikant Devaraj & Pankaj C. Patel, 2021. "Minimum wage and restaurant hygiene violations: Evidence from Seattle," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(1), pages 85-99, January.
    9. Ni, Xinwen, 2019. "Voting for Health Insurance Policy: the U.S. versus Europe," IRTG 1792 Discussion Papers 2019-012, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    10. Kevin Devereux & Mona Balesh Abadi & Farah Omran, 2019. "Correcting for Transitory Effects in RCTs: Application to the RAND Health Insurance Experiment," Working Papers 201910, School of Economics, University College Dublin.
    11. Kuhn, Michael & Frankovic, Ivan & Wrzaczek, Stefan, 2017. "Medical Progress, Demand for Health Care, and Economic Performance," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168249, Verein für Socialpolitik / German Economic Association.
    12. Christopher J. Ruhm, 2019. "Shackling the Identification Police?," Southern Economic Journal, John Wiley & Sons, vol. 85(4), pages 1016-1026, April.
    13. Katherine Baicker & Dana Goldman, 2011. "Patient Cost-Sharing and Healthcare Spending Growth," Journal of Economic Perspectives, American Economic Association, vol. 25(2), pages 47-68, Spring.
    14. Mariacristina De Nardi & Eric French & John Bailey Jones, 2016. "Medicaid Insurance in Old Age," American Economic Review, American Economic Association, vol. 106(11), pages 3480-3520, November.
    15. Jacques H. Drèze, 1997. "Sur la spécificité économique des soins de santé," Économie et Prévision, Programme National Persée, vol. 129(3), pages 1-9.
    16. Melissa A. Thomasson, 2003. "The Importance of Group Coverage: How Tax Policy Shaped U.S. Health Insurance," American Economic Review, American Economic Association, vol. 93(4), pages 1373-1384, September.
    17. Maria Rubio-Valera & María Teresa Peñarrubia-María & Maria Iglesias-González & Martin Knapp & Paul McCrone & Marta Roig & Ramón Sabes-Figuera & Juan V. Luciano & Juan M. Mendive & Ana Gabriela Murruga, 2019. "Cost-effectiveness of antidepressants versus active monitoring for mild-to-moderate major depressive disorder: a multisite non-randomized-controlled trial in primary care (INFAP study)," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(5), pages 703-713, July.
    18. Gabriella Conti & Rita Ginja, 2023. "Who Benefits from Free Health Insurance?: Evidence from Mexico," Journal of Human Resources, University of Wisconsin Press, vol. 58(1), pages 146-182.
    19. Kai Yeung & Anirban Basu & Ryan N. Hansen & Sean D. Sullivan, 2016. "Price Elasticities of Pharmaceuticals in a Value-Based-Formulary Setting," NBER Working Papers 22308, National Bureau of Economic Research, Inc.
    20. Huck, Steffen & Lünser, Gabriele & Spitzer, Florian & Tyran, Jean-Robert, 2016. "Medical insurance and free choice of physician shape patient overtreatment: A laboratory experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 131(PB), pages 78-105.

    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:spr:pharme:v:36:y:2018:i:11:d:10.1007_s40273-018-0691-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.