
@article{ref1,
title="Incidence of unplanned 30-day readmissions in adult burn patients in the United States",
journal="Journal of burn care and research",
year="2018",
author="Hodosevich, Zachary and Wheeler, Krista K. and Shi, Junxin and Coffey, Rebecca and Bailey, J. Kevin and Jones, Larry M. and Thakkar, Rajan K. and Fabia, Renata B. and Groner, Jonathan I. and Xiang, Henry",
volume="39",
number="6",
pages="923-931",
abstract="INTRODUCTION: This study characterizes adult burn readmissions in the United States using a nationally representative hospital inpatient sample. Readmission rates, diagnoses, and risk factors are discussed. <br><br>METHODS: We analyzed the 2013 and 2014 Nationwide Readmission Database (NRD) for adult burn patients. The data were weighted to estimate national 30-day readmission rates. Principal readmission diagnoses were sorted into burn-specific or other readmission categories. We used multivariable logistic regression to assess the effects of patient and hospital stay risk factors on readmissions. <br><br>RESULTS: An estimated 42,957 US adult burn patients were discharged between January and November of 2013 and 2014. Of these patients, an estimated 3,203 had unscheduled readmissions within 30 days [all-cause readmission rate: 7.5%, 95% CI: 6.7 - 8.2]. An estimated 55.4% of unplanned readmissions were for burn-specific principal readmission diagnoses. Burn-specific readmission was associated with burn severity and increased with both patient age and the number of comorbidities. Patients whose length of stay was less than 1 day/% total body surface area (TBSA) burned had higher readmission risk [Adjusted odds ratio (AOR) = 2.10, 95% CI = 1.48 - 2.99]. The results of logistic regression models were similar for burn-specific readmissions and all-cause readmissions. <br><br>CONCLUSIONS: In a nationally representative sample of adult burn patients, 4.1% had unplanned 30-day readmissions for burn-specific reasons; 7.5% were readmitted for any reason. Patient comorbidities and discharge before 1 day/%TBSA from the hospital impact readmission risk. Healthcare providers can use this information to identify at-risk patients, modify their treatment plans, and prevent readmissions.<p /> <p>Language: en</p>",
language="en",
issn="1559-047X",
doi="10.1093/jbcr/iry008",
url="http://dx.doi.org/10.1093/jbcr/iry008"
}