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Factors associated with unplanned readmissions in a major Australian health service.
- Source :
-
Australian Health Review . 2019, Vol. 43 Issue 1, p1-9. 9p. - Publication Year :
- 2019
-
Abstract
- Objective: The aim of the present study was to gain an understanding of the factors associated with unplanned hospital readmission within 28 days of acute care discharge from a major Australian health service. Methods: A retrospective study of 20 575 acute care discharges from 1 August to 31 December 2015 was conducted using administrative databases. Patient, index admission and readmission characteristics were evaluated for their association with unplanned readmission in ≤28 days. Results: The unplanned readmission rate was 7.4% (n = 1528) and 11.1% of readmitted patients were returned within 1 day. The factors associated with increased risk of unplanned readmission in ≤28 days for all patients were age ≥65 years (odds ratio (OR) 1.3), emergency index admission (OR 1.6), Charlson comorbidity index >1 (OR 1.1–1.9), the presence of chronic disease (OR 1.4) or complications (OR 1.8) during the index admission, index admission length of stay (LOS) >2 days (OR 1.4–1.8), hospital admission(s) (OR 1.7–10.86) or emergency department (ED) attendance(s) (OR 1.8–5.2) in the 6 months preceding the index admission and health service site (OR 1.2–1.6). However, the factors associated with increased risk of unplanned readmission ≤28 days changed with each patient group (adult medical, adult surgical, obstetric and paediatric). Conclusions: There were specific patient and index admission characteristics associated with increased risk of unplanned readmission in ≤28 days; however, these characteristics varied between patient groups, highlighting the need for tailored interventions. What is known about the topic?: Unplanned hospital readmissions within 28 days of hospital discharge are considered an indicator of quality and safety of health care. What does this paper add?: The factors associated with increased risk of unplanned readmission in ≤28 days varied between patient groups, so a 'one size fits all approach' to reducing unplanned readmissions may not be effective. Older adult medical patients had the highest rate of unplanned readmissions and those with Charlson comorbidity index ≥4, an index admission LOS >2 days, left against advice and hospital admission(s) or ED attendance(s) in the 6 months preceding index admission and discharge from larger sites within the health service were at highest risk of unplanned readmission. What are the implications for practitioners?: One in seven discharges resulted in an unplanned readmission in ≤28 days and one in 10 unplanned readmissions occurred within 1 day of discharge. Although some patient and hospital characteristics were associated with increased risk of unplanned readmission in ≤28 days, statistical modelling shows there are other factors affecting the risk of readmission that remain unknown and need further investigation. Future work related to preventing unplanned readmissions in ≤28 days should consider inclusion of health professional, system and social factors in risk assessments. [ABSTRACT FROM AUTHOR]
- Subjects :
- *PATIENT readmissions
*CHI-squared test
*CRITICAL care medicine
*DRUG side effects
*LENGTH of stay in hospitals
*MULTIVARIATE analysis
*NOSOLOGY
*RESEARCH
*STATISTICS
*LOGISTIC regression analysis
*DISCHARGE planning
*RETROSPECTIVE studies
*RECEIVER operating characteristic curves
*DATA analysis software
*DESCRIPTIVE statistics
*ODDS ratio
*PSYCHOLOGY
Subjects
Details
- Language :
- English
- ISSN :
- 01565788
- Volume :
- 43
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Australian Health Review
- Publication Type :
- Academic Journal
- Accession number :
- 134449596
- Full Text :
- https://doi.org/10.1071/AH16287