Evidence map›Paper›PMID 30217155›Full record

ArticleBMC health services research2018

Factors associated with unplanned readmissions within 1 day of acute care discharge: a retrospective cohort study.

Julie Considine, Debra Berry, Evan Newnham, Matthew Jiang, Karen Fox, David Plunkett, Melissa Mecner, Peteris Darzins, Mary O'Reilly

Abstract read
In one paragraph

Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Julie ConsidineGeelong: School of Nursing and Midwifery and Centre for Quality and Patient Safety - Eastern Health Partnership, Deakin University, Geelong, Australia. julie.considine@deakin.edu.au.ORCID http://orcid.org/0000-0003-3801-2456
Debra BerryGeelong: School of Nursing and Midwifery and Centre for Quality and Patient Safety - Eastern Health Partnership, Deakin University, Geelong, Australia.
Evan NewnhamEastern Health, Box Hill, Australia.
Matthew JiangEastern Health, Box Hill, Australia.
Karen FoxEastern Health, Box Hill, Australia.
David PlunkettEastern Health, Box Hill, Australia.
Melissa MecnerEastern Health, Box Hill, Australia.
Peteris DarzinsEastern Health, Box Hill, Australia.
Mary O'ReillyEastern Health, Box Hill, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnplanned hospital readmissions are a quality and safety indicator. In Australian, 8% to 11.1% of unplanned readmissions occur ≤1 day of acute care discharge. The aim of this study was to explore the reasons for unplanned hospital readmissions ≤1 day of acute care discharge, and determine what proportion of such unplanned hospital readmissions were potentially preventable.

methodsA retrospective exploratory cohort design was used to conduct this two phase study. In Phase 1, organisational data from 170 readmissions ≤1 day and 1358 readmissions between 2 and 28 days were compared using the Cochran-Mantel-Haenszel test. Binary logistic regression was used to examine factors associated with unplanned readmission ≤1 day. In Phase 2, a medical record audit of 162 Phase 1 readmissions ≤1 day was conducted and descriptive statistics used to summarise the study data. Index discharges occurred between 1 August and 31 December 2015.

resultsIn Phase 1, unplanned readmissions ≤1 day were more likely in paediatric patients (< 0.001); index discharges on weekends (p = 0.006), from short stay unit (SSU) (p < 0.001) or against health professional advice (p = 0.010); or when the readmission was for a Diagnosis Related Group (p < 0.001). The significant predictors of unplanned readmission ≤1 day were index discharge against advice or from SSU, and 1-5 hospital admissions in the 6 months preceding index admission. In Phase 2, 88.3% readmissions were unpreventable and 11.7% were preventable. The median patient age was 57 years and comorbidities were uncommon (3.1%). Most patients (94.4%) lived at home and with others (78.9%). Friday was the most common day of index discharge (17.3%) and Saturday was the most common day of unplanned readmission (19.1%). The majority (94.4%) of readmissions were via the emergency department: 58.5% were for a like diagnosis and pain was the most common reason for readmission.

conclusionsAdvanced age, significant comorbidities and social isolation did not feature in patients with an unplanned readmission ≤1 day. One quarter of patients were discharged on a Friday or weekend, one quarter of readmissions occurred on a weekend, and pain was the most common reason for readmission raising issues about access to services and weekend discharge planning.

Indexed as

Acute DiseaseAdolescentAdultAgedAged, 80 and overChildChild, PreschoolChronic DiseaseCritical CareEmergency Service, HospitalFemaleHumansInfantInfant, NewbornLogistic ModelsMaleDischarge planningHealth servicesHospitalizationHospital readmissionPatient readmissionPatient safety

Identifiers

PMID30217155
PMCPMC6137861

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.