Evidence map›Paper›PMID 34046529›Full record

ArticleInternational journal of population data science2021

Closing the UK care home data gap - methodological challenges and solutions.

J K Burton, C Goodman, B Guthrie, A L Gordon, B Hanratty, T J Quinn

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of population data science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
7.5field-weighted citation impact, top 2% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Declining demands or constraining supply? Explaining the trend of care home entry in England 2001-2021.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
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  18. Data resource profile: the virtual international care homes trials archive (VICHTA).International journal of population data science · 2023
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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 5 institutions in 3 countries.

J K BurtonAcademic Geriatric Medicine, Institute of Cardiovascular and Medical Sciences, University of Glasgow.
C GoodmanCentre for Research in Public health and Community Care (CRIPACC), University of Hertfordshire.
B GuthrieAdvanced Care Research Centre, Usher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh.
A L GordonDivision of Medical Sciences and Graduate Entry Medicine, University of Nottingham.
B HanrattyPopulation Health Sciences Institute, Newcastle University.
T J QuinnAcademic Geriatric Medicine, Institute of Cardiovascular and Medical Sciences, University of Glasgow.
University of Glasgow · GBAcademic Health Science Network North East and North Cumbria · GBUniversity of Edinburgh · GBUniversity of Hertfordshire · GBUniversity of Nottingham · GB

Funding

Department of Health 11/1021/02
6 · The paper itself

Abstract

UK care home residents are invisible in national datasets. The COVID-19 pandemic has exposed data failings that have hindered service development and research for years. Fundamental gaps, in terms of population and service demographics coupled with difficulties identifying the population in routine data are a significant limitation. These challenges are a key factor underpinning the failure to provide timely and responsive policy decisions to support care homes. In this commentary we propose changes that could address this data gap, priorities include: (1) Reliable identification of care home residents and their tenure; (2) Common identifiers to facilitate linkage between data sources from different sectors; (3) Individual-level, anonymised data inclusive of mortality irrespective of where death occurs; (4) Investment in capacity for large-scale, anonymised linked data analysis within social care working in partnership with academics; (5) Recognition of the need for collaborative working to use novel data sources, working to understand their meaning and ensure correct interpretation; (6) Better integration of information governance, enabling safe access for legitimate analyses from all relevant sectors; (7) A core national dataset for care homes developed in collaboration with key stakeholders to support integrated care delivery, service planning, commissioning, policy and research. Our suggestions are immediately actionable with political will and investment. We should seize this opportunity to capitalise on the spotlight the pandemic has thrown on the vulnerable populations living in care homes to invest in data-informed approaches to support care, evidence-based policy making and research.

Identifiers

PMID34046529
PMCPMC8138869
OpenAlexW3112583237

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.