TY  - BOOK
AU  - Johnson, Laura
AU  - Prindeze, Nicholas J
AU  - Shupp, Jeffrey W
TI  - Utility of 30-Day Readmission Metrics in the Burn Population: Navigating Quality Metric Limitations in Special Populations
SN  - 1559-047X
PY  - 2021///
KW  - *Benchmarking/mt [Methods]
KW  - *Burns/th [Therapy]
KW  - *Clinical Coding/mt [Methods]
KW  - *Databases, Factual
KW  - *Patient Readmission/sn [Statistics & Numerical Data]
KW  - Humans
KW  - Postoperative Complications/th [Therapy]
KW  - Retrospective Studies
KW  - Risk Factors
KW  - United States
KW  - MedStar Health Research Institute
KW  - MedStar Washington Hospital Center
KW  - Firefighters' Burn and Surgical Research Laboratory
KW  - Surgery/Burn Services
KW  - Journal Article
N1  - Available online through MWHC library: 2006 - present, Available in print through MWHC library: 2006 - present
N2  - Hospital readmission data may be a useful tool in identifying risk factors leading to higher costs of care or poorer overall outcomes. Several studies have emerged utilizing these datasets to examine the trauma and burn population, which have been unable to distinguish planned from unplanned readmissions. The 2014 Nationwide Readmissions Database was queried for 363 burn-specific ICD-9 DX codes and filtered by age and readmission status to capture the adult burn population. Additionally, burn-related excision and grafting procedures were filtered from 25 ICD-9 SG codes to distinguish planned readmissions. A total of 26,719 burn patients were identified with 781 all-cause unscheduled 30-day readmissions. Further filtering by burn-related excision and grafting procedures then identified 468 patients undergoing a burn-related excision and grafting procedure on readmission, reducing the dataset to 313 patients and identifying up to 60% of readmissions as possibly improperly coded planned readmissions. From this dataset, nonoperative management on initial admission was found to have the strongest correlation with readmission (OR 5.00; 3.33-7.14). Notably corrected data, when stratified by annual burn patient admission volume, identified a significant likelihood of readmission (OR 4.57; 2.15-9.70) of centers receiving the lowest annual number of burn patients, which was not identified in the unfiltered dataset. Healthcare performance statistics may be a powerful metric when utilized appropriately; however, these databases must be carefully applied to small and special populations. This study has determined that as many as 60% of burn patient readmissions included in prior studies may be improperly coded planned readmissions. Copyright (c) The Author(s) 2021. Published by Oxford University Press on behalf of the American Burn Association. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com
UR  - https://dx.doi.org/10.1093/jbcr/iraa203
ER  -