The impact of discharge location on outcomes following radical cystectomy.

Autor: Rosenzweig SJ; Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY. Electronic address: shoshana.rosenzweig@icahn.mssm.edu., Pfail JL; Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY., Katims AB; Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY., Mehrazin R; Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY., Wiklund PN; Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY., Sfakianos JP; Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY., Waingankar N; Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY.
Jazyk: angličtina
Zdroj: Urologic oncology [Urol Oncol] 2022 Feb; Vol. 40 (2), pp. 63.e1-63.e8. Date of Electronic Publication: 2021 Aug 13.
DOI: 10.1016/j.urolonc.2021.07.020
Abstrakt: Purpose: Hospital readmission is associated with adverse outcomes and increased cost, and as such, has been identified as a metric for surgical quality and a target for shifts in health policy. However, the disposition of patients who undergo radical cystectomy for bladder cancer and the association between discharge locations and readmission rates is poorly understood. Understanding the patterns and characteristics of readmission after radical cystectomy will help inform discharge planning and expectations and may have long-term impacts on quality and cost of care delivery. We hypothesize that patients will have varying readmission rates based on their discharge location.
Materials and Methods: An observational analysis of the Nationwide Readmissions Database was performed for all patients who underwent elective radical cystectomy in 2016 to 2017. The patients were grouped by the following criteria: whether they were discharged home, home with care, or to a facility. Univariate analysis was performed using the Chi-square test for categorical variables and the Kruskal-Wallis test for continuous variables. A multivariable logistic regression was conducted to evaluate if discharge locations impact patient readmissions at 30- and 90-days.
Results: The final dataset included 4,947 patients discharged home with care, 2,127 patients discharged to home or self-care, and 1,232 patients discharged to a facility. Discharge to a facility was strongly associated with higher 30-day (OR 1.49, CI 1.26-1.76) and 90-day readmission rates (OR 1.46, CI 1.23-1.74). Additionally, home health care was strongly associated with increased 30-day readmission rates (OR 1.22, CI 1.08-1.37) relative to routine discharge home.
Conclusions: Our analysis suggests that discharge location independently predicts readmission following RC. Further study with more granular patient- and system-level data may aid in identifying structural characteristics and processes that can reduce readmissions and their associated economic impact, while maintaining quality of care delivered.
(Copyright © 2021 Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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