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Upcoding in a National Health Service: the evidence from Portugal

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  • Pedro Barros
  • Gisele Braun

Abstract

For many years, evidence from the USA has pointed out to the existence of upcoding in management practices. Upcoding is defined as classifying patients in diagnosis‐related groups codes associated with larger payments. The incentive for upcoding is not restricted to private providers of care. Conceptually, any patient classification system that is used for payment purposes may be vulnerable to this sort of strategic behaviour by providers. We document here that upcoding occurs in a National Health Service where public hospitals have their payment (budget) tied to the classification of treatment episodes. Using diagnosis‐related groups data from Portugal, we found that the practice of upcoding has been used in the hospitals in a way leading to larger budgets (age of patients plays a key role). The effect is quantitatively small. Copyright © 2016 John Wiley & Sons, Ltd.

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  • Pedro Barros & Gisele Braun, 2017. "Upcoding in a National Health Service: the evidence from Portugal," Health Economics, John Wiley & Sons, Ltd., vol. 26(5), pages 600-618, May.
  • Handle: RePEc:wly:hlthec:v:26:y:2017:i:5:p:600-618
    DOI: 10.1002/hec.3335
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    1. Giorgio Vittadini & Paolo Berta & Gianmaria Martini & Giuditta Callea, 2012. "The effect of a law limiting upcoding on hospital admissions: evidence from Italy," Empirical Economics, Springer, vol. 42(2), pages 563-582, April.
    2. Berta, Paolo & Callea, Giuditta & Martini, Gianmaria & Vittadini, Giorgio, 2010. "The effects of upcoding, cream skimming and readmissions on the Italian hospitals efficiency: A population-based investigation," Economic Modelling, Elsevier, vol. 27(4), pages 812-821, July.
    3. Rossella Verzulli & Gianluca Fiorentini & Matteo Lippi Bruni & Cristina Ugolini, 2017. "Price Changes in Regulated Healthcare Markets: Do Public Hospitals Respond and How?," Health Economics, John Wiley & Sons, Ltd., vol. 26(11), pages 1429-1446, November.
    4. Leemore S. Dafny, 2005. "How Do Hospitals Respond to Price Changes?," American Economic Review, American Economic Association, vol. 95(5), pages 1525-1547, December.
    5. Xirasagar, Sudha & Lin, Herng-Ching, 2006. "Effects of payment incentives, hospital ownership and competition on hospitalization decisions for ambulatory surgical procedures," Health Policy, Elsevier, vol. 76(1), pages 26-37, March.
    6. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    7. Rauner, M. S. & Schaffhauser-Linzatti, M.-M., 2002. "Impact of the new Austrian inpatient payment strategy on hospital behavior: a system-dynamics model," Socio-Economic Planning Sciences, Elsevier, vol. 36(3), pages 161-182, September.
    8. Kuhn, Michael & Siciliani, Luigi, 2013. "Manipulation and auditing of public sector contracts," European Journal of Political Economy, Elsevier, vol. 32(C), pages 251-267.
    9. Steinbusch, Paul J.M. & Oostenbrink, Jan B. & Zuurbier, Joost J. & Schaepkens, Frans J.M., 2007. "The risk of upcoding in casemix systems: A comparative study," Health Policy, Elsevier, vol. 81(2-3), pages 289-299, May.
    10. Silverman, Elaine & Skinner, Jonathan, 2004. "Medicare upcoding and hospital ownership," Journal of Health Economics, Elsevier, vol. 23(2), pages 369-389, March.
    11. Kroneman, Madelon & Nagy, Julia, 2001. "Introducing DRG-based financing in Hungary: a study into the relationship between supply of hospital beds and use of these beds under changing institutional circumstances," Health Policy, Elsevier, vol. 55(1), pages 19-36, January.
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    1. Carine Milcent, 2021. "From downcoding to upcoding: DRG based payment in hospitals," International Journal of Health Economics and Management, Springer, vol. 21(1), pages 1-26, March.
    2. Gisele Teixeira Braun & Luis Gomes Centeno, 2018. "Health Systems," CFP Occasional Papers 01/2018, Portuguese Public Finance Council.
    3. Bauhoff, Sebastian & Fischer, Lisa & Göpffarth, Dirk & Wuppermann, Amelie C., 2017. "Plan responses to diagnosis-based payment: Evidence from Germany’s morbidity-based risk adjustment," Journal of Health Economics, Elsevier, vol. 56(C), pages 397-413.
    4. Eunhae Shin, 2019. "Hospital responses to price shocks under the prospective payment system," Health Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 245-260, February.
    5. Reif, Simon & Wichert, Sebastian & Wuppermann, Amelie, 2018. "Is it good to be too light? Birth weight thresholds in hospital reimbursement systems," Journal of Health Economics, Elsevier, vol. 59(C), pages 1-25.
    6. Milstein, Ricarda & Schreyögg, Jonas, 2022. "Activity-based funding based on diagnosis-related groups: The end of an era? A review of payment reforms in the inpatient sector in ten high-income countries," hche Research Papers 28, University of Hamburg, Hamburg Center for Health Economics (hche).
    7. Qian, Mengcen & Zhang, Xinyu & Chen, Yajing & Xu, Su & Ying, Xiaohua, 2021. "The pilot of a new patient classification-based payment system in China: The impact on costs, length of stay and quality," Social Science & Medicine, Elsevier, vol. 289(C).
    8. Carine Milcent, 2019. "From downcoding to upcoding: DRG based payment in hospitals," Working Papers halshs-02317416, HAL.
    9. Carine Milcent, 2019. "From downcoding to upcoding: DRG based payment in hospitals," PSE Working Papers halshs-02317416, HAL.
    10. Carine Milcent, 2019. "From downcoding to upcoding: DRG based payment in hospitals [Du downcoding au upcoding : Le paiement par DRG dans les hôpitaux]," PSE Working Papers halshs-03966671, HAL.
    11. Heike Hennig‐Schmidt & Hendrik Jürges & Daniel Wiesen, 2019. "Dishonesty in health care practice: A behavioral experiment on upcoding in neonatology," Health Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 319-338, March.
    12. Cook, Amanda & Averett, Susan, 2020. "Do hospitals respond to changing incentive structures? Evidence from Medicare’s 2007 DRG restructuring," Journal of Health Economics, Elsevier, vol. 73(C).
    13. Carine Milcent, 2019. "From downcoding to upcoding: DRG based payment in hospitals [Du downcoding au upcoding : Le paiement par DRG dans les hôpitaux]," Working Papers halshs-03966671, HAL.
    14. A. James O'Malley & Thomas A. Bubolz & Jonathan S. Skinner, 2021. "The Diffusion of Health Care Fraud: A Network Analysis," NBER Working Papers 28560, National Bureau of Economic Research, Inc.
    15. Beth Parkinson & Rachel Meacock & Matt Sutton, 2019. "How do hospitals respond to price changes in emergency departments?," Health Economics, John Wiley & Sons, Ltd., vol. 28(7), pages 830-842, July.
    16. András Kiss & Norbert Kiss & Balázs Váradi, 2023. "Do budget constraints limit access to health care? Evidence from PCI treatments in Hungary," International Journal of Health Economics and Management, Springer, vol. 23(2), pages 281-302, June.
    17. Mona Groß & Hendrik Jürges & Daniel Wiesen, 2021. "The effects of audits and fines on upcoding in neonatology," Health Economics, John Wiley & Sons, Ltd., vol. 30(8), pages 1978-1986, August.
    18. Lai, Yi & Fu, Hongqiao & Li, Ling & Yip, Winnie, 2022. "Hospital response to a case-based payment scheme under regional global budget: The case of Guangzhou in China," Social Science & Medicine, Elsevier, vol. 292(C).

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