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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Zhang, Mengjiao Liu, Siru Bi, Yongdong Liu, Jialin |
| Abstract | Purpose The purpose of this study was to analyze and compare the clinical characteristics of patients with 30-day planned and unplanned readmissions and to identify patients at high risk for unplanned readmissions. This will facilitate a better understanding of these readmissions and improve and optimize resource utilization for this patient population. Methods A retrospective cohort descriptive study was conducted at the West China Hospital (WCH), Sichuan University from January 1, 2015, to December 31, 2020. Discharged patients (≥ 18 years old) were divided into unplanned readmission and planned readmission groups according to 30-day readmission status. Demographic and related information was collected for each patient. Logistic regression analysis was used to assess the association between unplanned patient characteristics and the risk of readmission. Results We identified 1,118,437 patients from 1,242,496 discharged patients, including 74,494 (6.7%) 30-day planned readmissions and 9,895 (0.9%) unplanned readmissions. The most common diseases of planned readmissions were antineoplastic chemotherapy (62,756/177,749; 35.3%), radiotherapy sessions for malignancy (919/8,229; 11.2%), and systemic lupus erythematosus (607/4,620; 13.1%). The most common diseases of unplanned readmissions were antineoplastic chemotherapy (2038/177,747; 1.1%), age-related cataract (1061/21,255; 5.0%), and unspecified disorder of refraction (544/5,134; 10.6%). There were statistically significant differences between planned and unplanned readmissions in terms of patient sex, marital status, age, length of initial stay, the time between discharge, ICU stay, surgery, and health insurance. Conclusion Accurate information on 30-day planned and unplanned readmissions facilitates effective planning of healthcare resource allocation. Identifying risk factors for 30-day unplanned readmissions can help develop interventions to reduce readmission rates. |
| Related Links | https://bmchealthservres.biomedcentral.com/counter/pdf/10.1186/s12913-023-09193-1.pdf |
| Ending Page | 7 |
| Page Count | 7 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14726963 |
| DOI | 10.1186/s12913-023-09193-1 |
| Journal | BMC Health Services Research |
| Issue Number | 1 |
| Volume Number | 23 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2023-03-06 |
| Access Restriction | Open |
| Subject Keyword | Public Health Health Administration Health Informatics Nursing Research Patient readmission Hospital China |
| Content Type | Text |
| Resource Type | Article |
| Subject | Health Policy |
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