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HIV infection in hospitalized patients and medicaid enrollees: The accuracy of medical record coding

Author

Listed:
  • Rosenblum, L.
  • Buehler, J.W.
  • Morgan, M.W.
  • Costa, S.
  • Hidalgo, J.
  • Holmes, R.
  • Lieb, L.
  • Shields, A.
  • Whyte, B.

Abstract

To evaluate the accuracy of computerized medical-record coding for human immunodeficiency virus (HIV), medical charts were reviewed in sex sites. In 7601 hospital and 867 Medicaid records with a listed diagnosis of HIV, the predictive value for HIV was 91% or higher. HIV was identified in 34% of 1155 Medicaid records listing immune disorder or illness in the acquired immunodeficiency syndrome (AIDS) surveillance definition (without an HIV code). In hospital and Medicaid records, AIDS was identified both in records listing AIDS and records listing HIV without AIDS. HIV codes on hospital and Medicaid records were highly predictive for HIV; undercoding of HIV occurred in Medicaid records.

Suggested Citation

  • Rosenblum, L. & Buehler, J.W. & Morgan, M.W. & Costa, S. & Hidalgo, J. & Holmes, R. & Lieb, L. & Shields, A. & Whyte, B., 1993. "HIV infection in hospitalized patients and medicaid enrollees: The accuracy of medical record coding," American Journal of Public Health, American Public Health Association, vol. 83(10), pages 1457-1459.
    • Handle: RePEc:aph:ajpbhl:1993:83:10:1457-1459_0
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    Cited by:

    1. Duggan Mark G & Evans William N, 2008. "Estimating the Impact of Medical Innovation: A Case Study of HIV Antiretroviral Treatments," Forum for Health Economics & Policy, De Gruyter, vol. 11(2), pages 1-39, January.

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