학술논문

Examination of Unplanned 30-Day Readmissions to a Comprehensive Cancer Hospital.
Document Type
Article
Source
Journal of Oncology Practice. Mar2015, Vol. 11 Issue 2, pe177-e181. 5p.
Subject
*CANCER patient medical care
*CANCER patients
*CANCER treatment
*CONFIDENCE intervals
*FISHER exact test
*MEDICAL care costs
*LOGISTIC regression analysis
*HEALTH insurance reimbursement
*SPECIALTY hospitals
*DISEASE progression
*PATIENT readmissions
*DATA analysis software
*DESCRIPTIVE statistics
*TERTIARY care
*ECONOMICS
Language
ISSN
1554-7477
Abstract
Purpose: The Centers for Medicare and Medicaid Services (CMS), under the Hospitals Readmissions Reductions Program, may withhold regular reimbursements for excessive 30-day readmissions for select diagnoses. Such penalties imply that some readmissions reflect poor clinical decision making or care during the initial hospitalization. We examined factors related to potentially preventable readmissions in CMS patients at a tertiary cancer hospital. Methods: The medical records of all CMS patients with unplanned readmissions within 30 days of index admission were reviewed over 6 months (October 15, 2011-April 15, 2012). Each readmission was classified as not preventable or potentially preventable. Factors associated with potentially preventable readmissions were sought. Results: Of 2,531 inpatient admissions in CMS patients over 6 months, 185 patients experienced at least one readmission for 282 total readmissions (11%). Median time to readmission was 9 days (range, 0 to 30 days). The most common causes for first readmission were new diagnoses not present at first admission (n=43, 23%), new or worsening symptoms due to cancer progression (n=40, 21%) and complications of procedures (n=25, 13%). There were 38 (21%) initial readmissions classified as potentially preventable. Use of total parenteral nutrition at the time of discharge was associated with potentially preventable readmission (P=.028). Conclusion: Most unplanned readmissions to a tertiary cancer hospital are related to progression of disease, new diagnoses, and procedure complications. Minimizing readmissions in complex cancer patients is challenging. Larger multi-institutional datasets are needed to determine a reasonable standard for expected readmission rates. [ABSTRACT FROM AUTHOR]