Variation in readmission expenditures after high-risk surgery. J Surg Res 2017 Jun 01;213:60-68
Date
06/12/2017Pubmed ID
28601334Pubmed Central ID
PMC5467460DOI
10.1016/j.jss.2017.02.017Scopus ID
2-s2.0-85015405793 (requires institutional sign-in at Scopus site) 11 CitationsAbstract
BACKGROUND: The Hospital Readmissions Reduction Program reduces payments to hospitals with excess readmissions for three common medical conditions and recently extended its readmission program to surgical patients. We sought to investigate readmission intensity as measured by readmission cost for high-risk surgeries and examine predictors of higher readmission costs.
MATERIALS AND METHODS: We used the Healthcare Cost and Utilization Project's State Inpatient Database to perform a retrospective cohort study of patients undergoing major chest (aortic valve replacement, coronary artery bypass grafting, lung resection) and major abdominal (abdominal aortic aneurysm repair [open approach], cystectomy, esophagectomy, pancreatectomy) surgery in 2009 and 2010. We fit a multivariable logistic regression model with generalized estimation equations to examine patient and index admission factors associated with readmission costs.
RESULTS: The 30-d readmission rate was 16% for major chest and 22% for major abdominal surgery (P < 0.001). Discharge to a skilled nursing facility was associated with higher readmission costs for both chest (odds ratio [OR]: 1.99; 95% confidence interval [CI]: 1.60-2.48) and abdominal surgeries (OR: 1.86; 95% CI: 1.24-2.78). Comorbidities, length of stay, and receipt of blood or imaging was associated with higher readmission costs for chest surgery patients. Readmission >3 wk after discharge was associated with lower costs among abdominal surgery patients.
CONCLUSIONS: Readmissions after high-risk surgery are common, affecting about one in six patients. Predictors of higher readmission costs differ among major chest and abdominal surgeries. Better identifying patients susceptible to higher readmission costs may inform future interventions to either reduce the intensity of these readmissions or eliminate them altogether.
Author List
Jacobs BL, He C, Li BY, Helfand A, Krishnan N, Borza T, Ghaferi AA, Hollenbeck BK, Helm JE, Lavieri MS, Skolarus TAAuthor
Amir Ghaferi MD President, Phys Enterprise & SAD Clinical Affairs in the Medical College Physicians Administration department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
AdolescentAdult
Aged
Aged, 80 and over
Databases, Factual
Female
Hospital Costs
Humans
Logistic Models
Male
Middle Aged
Patient Readmission
Retrospective Studies
Risk Factors
Surgical Procedures, Operative
United States
Young Adult