TY  - JOUR
PY  - 2018//
TI  - Incidence of unplanned 30-day readmissions in adult burn patients in the United States
JO  - Journal of burn care and research
A1  - Hodosevich, Zachary
A1  - Wheeler, Krista K.
A1  - Shi, Junxin
A1  - Coffey, Rebecca
A1  - Bailey, J. Kevin
A1  - Jones, Larry M.
A1  - Thakkar, Rajan K.
A1  - Fabia, Renata B.
A1  - Groner, Jonathan I.
A1  - Xiang, Henry
SP  - 923
EP  - 931
VL  - 39
IS  - 6
N2  - 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>
LA  - en
SN  - 1559-047X
UR  - http://dx.doi.org/10.1093/jbcr/iry008
ID  - ref1
ER  -