Evidence map›Paper›PMID 32825603›Full record

ArticleHealthcare (Basel, Switzerland)2020

Feasibility of Using a Risk Assessment Tool to Predict Hospital Transfers or Death for Older People in Australian Residential Aged Care. A Retrospective Cohort Study.

Meidelynn Ooi, Ebony T Lewis, Julianne Brisbane, Evalynne Tubb, Tom McClean, Hassan Assareh, Ken Hillman, Helen Achat, Magnolia Cardona

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Meidelynn OoiMedical School, The University of New South Wales, Kensington 2052, Australia.
Ebony T LewisSchool of Population Health, Faculty of Medicine, University of New South Wales, Kensington 2052, Australia.
Julianne BrisbaneUniting (Aged Care Services), Sydney 2067, Australia.ORCID 0000-0003-1356-3796
Evalynne TubbUniting (Aged Care Services), Sydney 2067, Australia.
Tom McCleanUniting (Aged Care Services), Sydney 2067, Australia.
Hassan AssarehAgency for Clinical Innovation, St Leonards 2065, Australia.
Ken HillmanIntensive Care Unit, Liverpool Hospital, Liverpool 2170, Australia.
Helen AchatWestern Sydney Local Health District, North Parramatta 2151, Australia.
Magnolia CardonaInstitute for Evidence-Based Healthcare, Bond University, Gold Coast 4226, Australia.ORCID 0000-0001-6499-2705

Funding

National Health and Medical Research Council of Australia 1054146
6 · The paper itself

Abstract

Residents of Aged Care Facilities (RACF) experience burdensome hospital transfers in the last year of life, which may lead to aggressive and potentially inappropriate hospital treatments. Anticipating these transfers by identifying risk factors could encourage end-of-life discussions that may change decisions to transfer. The aim was to examine the feasibility of identifying an end-of-life risk profile among RACF residents using a predictive tool to better anticipate predictors of hospital transfers, death or poor composite outcome of hospitalisation and/or death after initial assessment. A retrospective cohort study of 373 permanent residents aged 65+ years was conducted using objective clinical factors from records in nine RACFs in metropolitan Sydney, Australia. In total, 26.8% died and 34.3% experienced a composite outcome. Cox proportional hazard regression models confirmed the feasibility of estimating the level of risk for death or a poor composite outcome. Knowing this should provide opportunities to initiate advance care planning in RACFs, facilitating decision making near the end of life. We conclude that the current structure of electronic RACF databases could be enhanced to enable comprehensive assessment of the risk of hospital re-attendance without admission. Automation tools to facilitate the risk score calculation may encourage the adoption of prediction checklists and evaluation of their association with hospital transfers.

Indexed as

advance care planningend of lifehospital transfersresidential aged carerisk factors

Identifiers

PMID32825603
PMCPMC7551645

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.