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The accuracy of Medicare's hospital claims data: Progress has been made, but problems remain

Author

Listed:
  • Fisher, E.S.
  • Whaley, F.S.
  • Krushat, W.M.
  • Malenka, D.J.
  • Fleming, C.
  • Baron, J.A.
  • Hsia, D.C.

Abstract

Background. Health care databases provide a widely used source of data for health care research, but their accuracy remains uncertain. We analyzed data from the 1985 National DRG Validation Study, which carefully reabstracted and reassigned ICD-9-CM diagnosis and procedure codes from a national sample of 7050 medical records, to determine whether coding accuracy had improved since the Institute of Medicine studies of the 1970s and to assess the current coding accuracy of specific diagnoses and procedures. Methods. We defined agreement as the proportion of all reabstracted records that had the same principal diagnosis or procedure coded on both the original (hospital) record and on the reabstracted record. We also evaluated coding accuracy in 1985 using the concepts of diagnostic test evaluation. Results. Overall, the percentage of agreement between the principal diagnosis on the reabstracted record and the original hospital record, when analyzed at the third digit, improved from 73.2% in 1977 to 78.2% in 1985. However, analysis of the 1985 data demonstrated that the accuracy of diagnosis and procedure coding varies substantially across conditions. Conclusions. Although some diagnoses and all major surgical procedures that we examined were accurately coded, the variability in the accuracy of diagnosis coding poses a problem that must be overcome if claims-based research is to achieve its full potential.

Suggested Citation

  • Fisher, E.S. & Whaley, F.S. & Krushat, W.M. & Malenka, D.J. & Fleming, C. & Baron, J.A. & Hsia, D.C., 1992. "The accuracy of Medicare's hospital claims data: Progress has been made, but problems remain," American Journal of Public Health, American Public Health Association, vol. 82(2), pages 243-248.
  • Handle: RePEc:aph:ajpbhl:1992:82:2:243-248_2
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    Cited by:

    1. Carine Milcent, 2023. "Bias due to re-used databases: Coding in hospital for extremely vulnerable patients," Working Papers hal-03960584, HAL.
    2. Kjartan Sarheim Anthun, 2022. "Predicting diagnostic coding in hospitals: individual level effects of price incentives," International Journal of Health Economics and Management, Springer, vol. 22(2), pages 129-146, June.
    3. Krista F Huybrechts & Reesha Shah Sanghani & Jerry Avorn & Adam C Urato, 2014. "Preterm Birth and Antidepressant Medication Use during Pregnancy: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-13, March.
    4. Kjartan Sarheim Anthun & Johan Håkon Bjørngaard & Jon Magnussen, 2017. "Economic incentives and diagnostic coding in a public health care system," International Journal of Health Economics and Management, Springer, vol. 17(1), pages 83-101, March.
    5. Jay Bhattacharya & Alan M. Garber & Matthew Miller & Daniella Perlroth, 2011. "The Value of Progress against Cancer in the Elderly," NBER Chapters, in: Investigations in the Economics of Aging, pages 203-233, National Bureau of Economic Research, Inc.
    6. De Nicola, Arianna & Mancuso, Paolo & Valdmanis, Vivian, 2013. "Quality and health care performance in the Italian regions," MPRA Paper 50495, University Library of Munich, Germany.
    7. Jay Bhattacharya & Alan M. Garber & Thomas MaCurdy, 2010. "The Narrowing Dispersion of Medicare Expenditures 1997 to 2005," NBER Chapters, in: Research Findings in the Economics of Aging, pages 387-407, National Bureau of Economic Research, Inc.
    8. Dorian Culié & Renaud Schiappa & Sara Contu & Boris Scheller & Agathe Villarme & Olivier Dassonville & Gilles Poissonnet & Alexandre Bozec & Emmanuel Chamorey, 2022. "Validation and Improvement of a Convolutional Neural Network to Predict the Involved Pathology in a Head and Neck Surgery Cohort," IJERPH, MDPI, vol. 19(19), pages 1-10, September.
    9. Adam Powell & Sergei Savin & Nicos Savva, 2012. "Physician Workload and Hospital Reimbursement: Overworked Physicians Generate Less Revenue per Patient," Manufacturing & Service Operations Management, INFORMS, vol. 14(4), pages 512-528, October.

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