Predictors of Readmission after Inpatient Plastic Surgery
Archives of Plastic Surgery
;
: 116-121, 2014.
Article
in English
| WPRIM
| ID: wpr-212702
ABSTRACT
BACKGROUND:
Understanding risk factors that increase readmission rates may help enhance patient education and set system-wide expectations. We aimed to provide benchmark data on causes and predictors of readmission following inpatient plastic surgery.METHODS:
The 2011 National Surgical Quality Improvement Program dataset was reviewed for patients with both "Plastics" as their recorded surgical specialty and inpatient status. Readmission was tracked through the "Unplanned Readmission" variable. Patient characteristics and outcomes were compared using chi-squared analysis and Student's t-tests for categorical and continuous variables, respectively. Multivariate regression analysis was used for identifying predictors of readmission.RESULTS:
A total of 3,671 inpatient plastic surgery patients were included. The unplanned readmission rate was 7.11%. Multivariate regression analysis revealed a history of chronic obstructive pulmonary disease (COPD) (odds ratio [OR], 2.01; confidence interval [CI], 1.12-3.60; P=0.020), previous percutaneous coronary intervention (PCI) (OR, 2.69; CI, 1.21-5.97; P=0.015), hypertension requiring medication (OR, 1.65; CI, 1.22-2.24; P or =30) (OR, 1.43; CI, 1.09-1.88, P=0.011) to be significant predictors of readmission.CONCLUSIONS:
Inpatient plastic surgery has an associated 7.11% unplanned readmission rate. History of COPD, previous PCI, hypertension, ASA class 3 or 4, bleeding disorders, and obesity all proved to be significant risk factors for readmission. These findings will help to benchmark inpatient readmission rates and manage patient and hospital system expectations.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Patient Readmission
/
Surgery, Plastic
/
Track and Field
/
Patient Education as Topic
/
Risk Factors
/
Pulmonary Disease, Chronic Obstructive
/
Quality Improvement
/
Percutaneous Coronary Intervention
/
Dataset
/
Hemorrhage
Type of study:
Etiology study
/
Prognostic study
/
Risk factors
Limits:
Humans
Language:
English
Journal:
Archives of Plastic Surgery
Year:
2014
Type:
Article
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