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Population-Based Assessment of Determining Predictors for Discharge Disposition in Patients with Bladder Cancer Undergoing Radical Cystectomy.
- Source :
- Cancers; Oct2022, Vol. 14 Issue 19, p4613, 17p
- Publication Year :
- 2022
-
Abstract
- Simple Summary: Our study analyzed 138,151 radical cystectomy patient encounters to determine which patient and facility characteristics are associated with discharge home and discharge to continued rehabilitation facilities. We used multivariate logistic regression to statistically analyze these datapoints while controlling for other variables. We found that older age, single/widowed marital status, female gender, increased Charlson Comorbidity Index, Medicaid, and Medicare insurance and open surgery are associated with Continued Rehabilitation Facility (CRF) discharge. Objective: To assess predictors of discharge disposition—either home or to a CRF—after undergoing RC for bladder cancer in the United States. Methods: In this retrospective, cohort study, patients were divided into two cohorts: those discharged home and those discharged to CRF. We examined patient, surgical, and hospital characteristics. Multivariable logistic regression models were used to control for selected variables. All statistical tests were two-sided. Patients were derived from the Premier Healthcare Database. International classification of disease (ICD)-9 (<2014), ICD-10 (≥2015), and Current Procedural Terminology (CPT) codes were used to identify patient diagnoses and encounters. The population consisted of 138,151 patients who underwent RC for bladder cancer between 1 January 2000 and 31 December 2019. Results: Of 138,151 patients, 24,922 (18.0%) were admitted to CRFs. Multivariate analysis revealed that older age, single/widowed marital status, female gender, increased Charlson Comorbidity Index, Medicaid, and Medicare insurance are associated with CRF discharge. Rural hospital location, self-pay status, increased annual surgeon case, and robotic surgical approach are associated with home discharge. Conclusions: Several specific patient, surgical, and facility characteristics were identified that may significantly impact discharge disposition after RC for bladder cancer. [ABSTRACT FROM AUTHOR]
- Subjects :
- BLADDER tumors
CYSTECTOMY
NOSOLOGY
MULTIVARIATE analysis
RETROSPECTIVE studies
ACQUISITION of data
CANCER patients
SOCIOECONOMIC factors
NURSING care facilities
TREATMENT effectiveness
MEDICAL records
DESCRIPTIVE statistics
LOGISTIC regression analysis
MARITAL status
DISCHARGE planning
LONGITUDINAL method
MEDICARE
RURAL health clinics
INSURANCE
Subjects
Details
- Language :
- English
- ISSN :
- 20726694
- Volume :
- 14
- Issue :
- 19
- Database :
- Complementary Index
- Journal :
- Cancers
- Publication Type :
- Academic Journal
- Accession number :
- 159669559
- Full Text :
- https://doi.org/10.3390/cancers14194613