Evidence map›Paper›PMID 36580557›Full record

ArticleAge and ageing2022

Understanding Pathways into Care homes using Data (UnPiCD study): a retrospective cohort study using national linked health and social care data.

Jennifer Kirsty Burton, Giorgio Ciminata, Ellen Lynch, Susan D Shenkin, Claudia Geue, Terence J Quinn

Open access · hybridAbstract read
In one paragraph

Article in Age and ageing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
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

9 citing papers in PubMed, 19 citations in OpenAlex.

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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

6 authors at 4 institutions in 1 country.

Jennifer Kirsty BurtonAcademic Geriatric Medicine, School of Cardiovascular & Metabolic Health, University of Glasgow, Glasgow, Scotland.
Giorgio CiminataHealth Economics and Health Technology Assessment, School of Health & Wellbeing, University of Glasgow, Glasgow, Scotland.
Ellen LynchSocial Care Analytical Unit, Health and Social Care Analysis, Scottish Government, Edinburgh, Scotland.
Susan D ShenkinAgeing and Health Research Group and Advanced Care Research Centre, Usher Institute, University of Edinburgh, Edinburgh, Scotland.ORCID 0000-0001-7375-4776
Claudia GeueHealth Economics and Health Technology Assessment, School of Health & Wellbeing, University of Glasgow, Glasgow, Scotland.
Terence J QuinnAcademic Geriatric Medicine, School of Cardiovascular & Metabolic Health, University of Glasgow, Glasgow, Scotland.
Public Health Scotland · GBUniversity of Glasgow · GBScottish Government · GBUniversity of Edinburgh · GB

Funding

Chief Scientist Office PCL/21/01
6 · The paper itself

Abstract

backgroundPathways into care are poorly understood but important life events for individuals and their families. UK policy is to avoid moving-in to care homes from acute hospital settings. This assumes that moves from secondary care represent a system failure. However, those moving to care homes from community and hospital settings may be fundamentally different groups, each requiring differing care approaches.

objectiveTo characterise individuals who move-in to a care home from hospital and compare with those moving-in from the community. DESIGN AND

settingA retrospective cohort study using cross-sectoral data linkage of care home data.

methodsWe included adults moving-in to care homes between 1/4/13 and 31/3/16, recorded in the Scottish Care Home Census. Care home data were linked to general and psychiatric hospital admissions, community prescribing and mortality records to ascertain comorbidities, significant diagnoses, hospital resource use, polypharmacy and frailty. Multivariate logistic regression identified predictors of moving-in from hospital compared to from community.

resultsWe included 23,892 individuals moving-in to a care home, 13,564 (56.8%) from hospital and 10,328 (43.2%) from the community. High frailty risk adjusted Odds Ratio (aOR) 5.11 (95% Confidence Interval (CI): 4.60-5.68), hospital discharge with diagnosis of fracture aOR 3.91 (95%CI: 3.41-4.47) or stroke aOR 8.42 (95%CI: 6.90-10.29) were associated with moving-in from hospital. Discharge from in-patient psychiatry was also a highly significant predictor aOR 19.12 (95%CI: 16.26-22.48).

conclusionsIndividuals moving-in to care homes directly from hospital are clinically distinct from those from the community. Linkage of cross-sectoral data can allow exploration of pathways into care at scale.

Indexed as

FrailtyNursing HomesHospitalizationHumansRetrospective StudiesSocial SupportCare homedata linkagehospitalolder peopleroutine datasocial care

Identifiers

PMID36580557
PMCPMC9799248
OpenAlexW4313332415

What Socratic holds

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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 Socratic graph.