Abstract
Background: Hospital readmissions are associated with poor patient outcomes and increased health resource utilisation. The need to study readmission patterns is even bigger during a pandemic because the burden is further stretching the healthcare system. Methods: We reviewed the initial hospitalisation and subsequent readmission for 19 patients with confirmed COVID-19 in the largest statewide hospital network in Rhode Island, US, from March 1st through April 19th, 2020. We also compared the characteristics and clinical outcomes between readmitted and non-readmitted patients. Results: Of the 339 hospitalised patients with COVID-19, 279 discharged alive. Among them, 19/279 were readmitted (6.8%) after a median of 5 days. There was a significantly higher rate of hypertension, diabetes, chronic pulmonary disease, liver disease, cancer and substance abuse among the readmitted compared with non-readmitted patients. The most common reasons of readmissions happening within 12 days from discharge included respiratory distress and thrombotic episodes, while those happening at a later time included psychiatric illness exacerbations and falls. The length of stay during readmission was longer than during index admission and more demanding on healthcare resources. Conclusion: Among hospitalised patients with COVID-19, those readmitted had a higher burden of comorbidities than the non-readmitted. Within the first 12 days from discharge, readmission reasons were more likely to be associated with COVID-19, while those happening later were related to other reasons. Readmissions characterisation may help in defining optimal timing for patient discharge and ensuring safe care transition.
| Original language | English (US) |
|---|---|
| Article number | e13700 |
| Journal | International Journal of Clinical Practice |
| Volume | 75 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 2021 |
ASJC Scopus subject areas
- General Medicine
Divisions
- Infectious Disease
Fingerprint
Dive into the research topics of 'Readmissions among patients with COVID-19'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS