Literature DB >> 29092726

Factors associated with unplanned readmissions in a major Australian health service.

Julie Considine1, Karen Fox2, David Plunkett2, Melissa Mecner2, Mary O Reilly2, Peteris Darzins2.   

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 20575 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.

Entities:  

Year:  2019        PMID: 29092726     DOI: 10.1071/AH16287

Source DB:  PubMed          Journal:  Aust Health Rev        ISSN: 0156-5788            Impact factor:   1.990


  11 in total

1.  Development and Pilot Implementation of a Training Framework to Prepare and Integrate Pharmacy Students into a Multicentre Hospital Research Study.

Authors:  Aaron Noble; Rachael Raleigh; Amy Page; H Laetitia Hattingh
Journal:  Pharmacy (Basel)       Date:  2022-05-30

2.  Understanding the patient experience of early unplanned hospital readmission following acute care discharge: a qualitative descriptive study.

Authors:  Julie Considine; Debra Berry; Stephanie K Sprogis; Evan Newnham; Karen Fox; Peteris Darzins; Helen Rawson; Maryann Street
Journal:  BMJ Open       Date:  2020-05-20       Impact factor: 2.692

3.  Factors influencing early and late readmissions in Australian hospitalised patients and investigating role of admission nutrition status as a predictor of hospital readmissions: a cohort study.

Authors:  Yogesh Sharma; Michelle Miller; Billingsley Kaambwa; Rashmi Shahi; Paul Hakendorf; Chris Horwood; Campbell Thompson
Journal:  BMJ Open       Date:  2018-06-27       Impact factor: 2.692

4.  A systematic review protocol for examining 30-day readmission costs for atrial fibrillation patients.

Authors:  Taylor-Jade Woods; Peter Speck; Billingsley Kaambwa
Journal:  BMJ Open       Date:  2019-10-10       Impact factor: 2.692

5.  Unplanned Readmission within 28 Days of Hospital Discharge in a Longitudinal Population-Based Cohort of Older Australian Women.

Authors:  Dinberu S Shebeshi; Xenia Dolja-Gore; Julie Byles
Journal:  Int J Environ Res Public Health       Date:  2020-04-30       Impact factor: 3.390

6.  Hospital readmissions among older people with intellectual disability in comparison with the general population.

Authors:  A Axmon; M Björkman; G Ahlström
Journal:  J Intellect Disabil Res       Date:  2019-02-08

7.  Effectiveness of combined exercise and nutrition interventions in prefrail or frail older hospitalised patients: a systematic review and meta-analysis.

Authors:  Chad Yixian Han; Michelle Miller; Alison Yaxley; Claire Baldwin; Richard Woodman; Yogesh Sharma
Journal:  BMJ Open       Date:  2020-12-13       Impact factor: 2.692

8.  An integrated knowledge translation approach to address avoidable rehospitalisations and unplanned admissions for older people in South Australia: implementation and evaluation program plan.

Authors:  Gillian Harvey; Clarabelle T Pham; Maria C Inacio; Kate Laver; Elizabeth A Lynch; Robert N Jorissen; Jonathan Karnon; Alice Bourke; John Forward; John Maddison; Craig Whitehead; Jesmin Rupa; Carmel McNamara; Maria Crotty
Journal:  Implement Sci Commun       Date:  2021-04-07

9.  Age trends in 30 day hospital readmissions: US national retrospective analysis.

Authors:  Jay G Berry; James C Gay; Karen Joynt Maddox; Eric A Coleman; Emily M Bucholz; Margaret R O'Neill; Kevin Blaine; Matthew Hall
Journal:  BMJ       Date:  2018-02-27

10.  Investigating the characteristics and needs of frequently admitting hospital patients: a cross-sectional study in the UK.

Authors:  Reem Kayyali; Gill Funnell; Bassel Odeh; Anuj Sharma; Yannis Katsaros; Shereen Nabhani-Gebara; Barbara Pierscionek; Joshua Sterling Wells; John Chang
Journal:  BMJ Open       Date:  2020-09-02       Impact factor: 2.692

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