Guven DC, Ceylan F, Cakir IY, Cesmeci E, Sayinalp B, Yesilyurt B, Guner G, Yildirim HC, Aktepe OH, Arik Z, Turker A, Dizdar O. Evaluation of early unplanned readmissions and predisposing factors in an oncology clinic.
Support Care Cancer 2021;
29:4159-4164. [PMID:
33404804 DOI:
10.1007/s00520-020-05927-7]
[Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 12/01/2020] [Indexed: 02/05/2023]
Abstract
BACKGROUND
Unplanned readmission in the first 30 days after discharge is an important medical problem, although the data on cancer patients is limited. So we planned to evaluate the rates and causes of early readmissions and the predisposing factors.
METHODS
Patients hospitalized in Hacettepe University Oncology services between August 2018 and July 2019 were included. The demographic features, tumor stages, regular drugs, last laboratory parameters before discharge, and readmissions in the first 30 days after discharge were recorded. The predisposing features were evaluated with univariate and multivariate analyses.
RESULTS
A total of 562 hospitalizations were included. The mean age of the patients was 58.5 ± 14.5 years. Almost 2/3 of the hospitalizations were due to symptom palliation and infections. Eighty-three percent of the patients had advanced disease, and over 60% had an ECOG score of 2 and above. In the first 30 days after discharge, 127 patients were readmitted (22.6%). Advanced stage disease, presence of polypharmacy (5 or more regular drugs), hospitalization setting (emergency department (ED) vs. outpatient clinic), and hypoalbuminemia (< 3 gr/dL) were associated with a statistically significant increase in the risk of readmission. Among these factors, advanced-stage disease (HR: 2.847, 95% CI: 1.375-5.895), hospitalization from ED (HR: 1.832, 95% CI: 1.208-2.777), and polypharmacy (HR: 1.782, 95% CI: 1.173-2.706) remained significant in multivariate analyses.
CONCLUSIONS
In this study, 22% of cancer patients had early readmissions. The readmission risk increased in patients with advanced disease, hospitalization from ED, and polypharmacy. The optimal post-discharge plan may reduce readmissions in all oncology patients, with priority for these patient groups.
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