Evidence map›Paper›PMID 28444124›Full record

SynthesisAge and ageing2017

Predicting discharge to institutional long-term care following acute hospitalisation: a systematic review and meta-analysis.

Jennifer Kirsty Harrison, Katherine E Walesby, Lorna Hamilton, Carolyn Armstrong, John M Starr, Emma L Reynish, Alasdair M J MacLullich, Terry J Quinn, Susan D Shenkin

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Age and ageing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 6 pooled it
–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

25 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Challenges to Systems of Long-Term Care: Mapping of the Central Concepts from an Umbrella Review.International journal of environmental research and public health · 2023
    Pooled it
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  5. Utility of Functional Metrics Assessed During Acute Care on Hospital Outcomes: A Systematic Review.PM & R : the journal of injury, function, and rehabilitation · 2019
    Pooled it
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  19. Factors Affecting Discharge to Home of Medical Patients Treated in an Intensive Care Unit.International journal of environmental research and public health · 2019
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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.

Jennifer Kirsty HarrisonAlzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK.
Katherine E WalesbyAlzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK.
Lorna HamiltonDepartment of Medicine for the Elderly, NHS Lothian, Edinburgh, UK.
Carolyn ArmstrongDepartment of Medicine for the Elderly, NHS Lothian, Edinburgh, UK.
John M StarrAlzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK.
Emma L ReynishDepartment of Medicine for the Elderly, NHS Lothian, Edinburgh, UK.
Alasdair M J MacLullichCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
Terry J QuinnInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Susan D ShenkinCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.

Funding

Chief Scientist Office HICG/1/14Medical Research Council MR/K026992/1
6 · The paper itself

Abstract

Background: moving into long-term institutional care is a significant life event for any individual. Predictors of institutional care admission from community-dwellers and people with dementia have been described, but those from the acute hospital setting have not been systematically reviewed. Our aim was to establish predictive factors for discharge to institutional care following acute hospitalisation. Methods: we registered and conducted a systematic review (PROSPERO: CRD42015023497). We searched MEDLINE; EMBASE and CINAHL Plus in September 2015. We included observational studies of patients admitted directly to long-term institutional care following acute hospitalisation where factors associated with institutionalisation were reported. Results: from 9,176 records, we included 23 studies (n = 354,985 participants). Studies were heterogeneous, with the proportions discharged to a care home 3-77% (median 15%). Eleven studies (n = 12,642), of moderate to low quality, were included in the quantitative synthesis. The need for institutional long-term care was associated with age (pooled odds ratio (OR) 1.02, 95% confidence intervals (CI): 1.00-1.04), female sex (pooled OR 1.41, 95% CI: 1.03-1.92), dementia (pooled OR 2.14, 95% CI: 1.24-3.70) and functional dependency (pooled OR 2.06, 95% CI: 1.58-2.69). Conclusions: discharge to long-term institutional care following acute hospitalisation is common, but current data do not allow prediction of who will make this transition. Potentially important predictors evaluated in community cohorts have not been examined in hospitalised cohorts. Understanding these predictors could help identify individuals at risk early in their admission, and support them in this transition or potentially intervene to reduce their risk.

Indexed as

InstitutionalizationLong-Term CarePatient AdmissionPatient DischargeAgedAged, 80 and overFemaleHealth StatusHumansLength of StayMaleOdds RatioRisk AssessmentRisk FactorsTime Factorscare homehospitalisationlong-term careolder peopleoutcomepredictor

Identifiers

PMID28444124
PMCPMC5860007

What OpenQuestion holds

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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.