Evidence map›Paper›PMID 38783195›Full record

ArticleBMC geriatrics2024

Understanding health service utilisation patterns for care home residents during the COVID-19 pandemic using routinely collected healthcare data.

Alex Garner, Nancy Preston, Camila C S Caiado, Emma Stubington, Barbara Hanratty, James Limb, Suzanne M Mason, Jo Knight

Abstract read
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Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

8 authors.

Alex GarnerLancaster Medical School, Lancaster University, Lancashire, England. a.garner2@lancaster.ac.uk.
Nancy PrestonDivision of Health Research, Lancaster University, Lancashire, England.
Camila C S CaiadoDepartment of Mathematical Sciences, Durham University, Durham, England.
Emma StubingtonLancaster Medical School, Lancaster University, Lancashire, England.
Barbara HanrattyPopulation Health Sciences Institute, Newcastle University, Newcastle, England.
James LimbCounty Durham and Darlington NHS Foundation Trust, Darlington, England.
Suzanne M MasonSchool of Health and Related Research, The University of Sheffield, South Yorkshire, England.
Jo KnightLancaster Medical School, Lancaster University, Lancashire, England.

Funding

Engineering and Physical Sciences Research Council EP/R513076/1National Institute for Health and Care Research COV0466UK Research and Innovation MR/V028502/1
6 · The paper itself

Abstract

backgroundHealthcare in care homes during the COVID-19 pandemic required a balance, providing treatment while minimising exposure risk. Policy for how residents should receive care changed rapidly throughout the pandemic. A lack of accessible data on care home residents over this time meant policy decisions were difficult to make and verify. This study investigates common patterns of healthcare utilisation for care home residents in relation to COVID-19 testing events, and associations between utilisation patterns and resident characteristics.

methodsDatasets from County Durham and Darlington NHS Foundation Trust including secondary care, community care and a care home telehealth app are linked by NHS number used to define daily healthcare utilisation sequences for care home residents. We derive four 10-day sets of sequences related to Pillar 1 COVID-19 testing; before [1] and after [2] a resident's first positive test and before [3] and after [4] a resident's first test. These sequences are clustered, grouping residents with similar healthcare patterns in each set. Association of individual characteristics (e.g. health conditions such as diabetes and dementia) with healthcare patterns are investigated.

resultsWe demonstrate how routinely collected health data can be used to produce longitudinal descriptions of patient care. Clustered sequences [1,2,3,4] are produced for 3,471 care home residents tested between 01/03/2020-01/09/2021. Clusters characterised by higher levels of utilisation were significantly associated with higher prevalence of diabetes. Dementia is associated with higher levels of care after a testing event and appears to be correlated with a hospital discharge after a first test. Residents discharged from inpatient care within 10 days of their first test had the same mortality rate as those who stayed in hospital.

conclusionWe provide longitudinal, resident-level data on care home resident healthcare during the COVID-19 pandemic. We find that vulnerable residents were associated with higher levels of healthcare usage despite the additional risks. Implications of findings are limited by the challenges of routinely collected data. However, this study demonstrates the potential for further research into healthcare pathways using linked, routinely collected datasets.

Indexed as

COVID-19Nursing HomesAgedAged, 80 and overFemaleHomes for the AgedHumansMalePandemicsPatient Acceptance of Health CareSARS-CoV-2Telemedicine

Identifiers

PMID38783195
PMCPMC11112834

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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.