Accuracy of Hospital Discharge Codes in Medicare Claims for Knee and Hip Replacement Patients.
Publication/Presentation Date
5-1-2020
Abstract
BACKGROUND: Despite the importance of the hospital discharge destination field ("discharge code" hereafter) for research and payment reform, its accuracy is not well established.
OBJECTIVES: The aim of this study was to examine the accuracy of discharge codes in Medicare claims.
DATA SOURCES: 2012-2015 Medicare claims of knee and hip replacement patients.
RESEARCH DESIGN: We identified patients' discharge location in claims and compared it with the discharge code. We also used a mixed-effects logistic regression to examine the association of patient and hospital characteristics with discharge code accuracy.
RESULTS: Approximately 9% of discharge codes were inaccurate. Long-term care hospital discharge codes had the lowest accuracy rate (41%), followed by acute care transfers (72%), inpatient rehabilitation facility (80%), and home discharges (83%). Most misclassifications occurred within 2 broad groups of postacute care settings: home-based and institutional care. The odds of inaccurate discharge codes were higher for Medicaid-enrolled patients and safety-net and low-volume hospitals.
CONCLUSIONS: Inaccurate hospital discharge coding may have introduced bias in studies relying on these codes (eg, evaluations of Medicare bundled payment models). Inaccuracy was more common among Medicaid-enrolled patients and safety-net and low-volume hospitals, suggesting more potential bias in existing study findings pertaining to these patients and hospitals.
Volume
58
Issue
5
First Page
491
Last Page
495
ISSN
1537-1948
Published In/Presented At
Kim, H., Grunditz, J. I., Meath, T. H. A., Quiñones, A. R., Ibrahim, S. A., & McConnell, K. J. (2020). Accuracy of Hospital Discharge Codes in Medicare Claims for Knee and Hip Replacement Patients. Medical care, 58(5), 491–495. https://doi.org/10.1097/MLR.0000000000001290
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
31914103
Department(s)
Administration and Leadership
Document Type
Article