Referral Patterns and Severity Distribution of Burn Care
- 1 April 2005
- journal article
- research article
- Published by Ovid Technologies (Wolters Kluwer Health) in Annals of Plastic Surgery
- Vol. 54 (4), 412-419
- https://doi.org/10.1097/01.sap.0000154877.59894.5e
Abstract
The purpose of this investigation was to examine burn-patient referral patterns and severity of burn distribution, as well as to determine the impact these patterns may have on the education of surgeons in training. Data from the 1998–1999 National Inpatient Sample (NIS) and the Michigan Hospital Association (MHA) were analyzed based upon burn diagnostic-related groups (DRGs; 504–511) and their referral distribution was documented. Providers were segregated into high-volume hospitals (HVHs) treating >100 patients per year, moderate-volume hospitals treating 25 to 99 patients per year, and low-volume hospitals (LVHs) treating <25 patients per year. Surgical training programs were identified within the state of Michigan and examined for an educational affiliation with a burn center. Across the United States, 47.5% of burn patients receive care at HVHs. Patients with the highest severity (ie, DRGs 504 and 505) were usually (77%) treated in HVHs. Within the state of Michigan, 4 HVHs were identified, which represent 50.8% of the total burn admissions. At least 1 HVH received over 80% of its admissions from adjacent or distant counties and subsequently represented a higher proportion of higher-severity burn DRG admissions. Twenty-three percent of general surgical programs within the state of Michigan do not have a formal burn rotation or affiliation with a regional burn center for educational training. Several programs have affiliations with low-volume burn providers. The most severe burns are reaching high-volume centers, but many burns continue to remain within LVHs. A wide variation in patient distribution occurs throughout the United States. Matching the patient and resident distribution is essential for effective training of surgical residents.Keywords
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