Evidence map›Paper›PMID 30124764›Full record

ArticleAge and ageing2019

Identifying care-home residents in routine healthcare datasets: a diagnostic test accuracy study of five methods.

Jennifer K Burton, Charis A Marwick, James Galloway, Christopher Hall, Thomas Nind, Emma L Reynish, Bruce Guthrie

Abstract read
In one paragraph

Article in Age and ageing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Closing the UK care home data gap - methodological challenges and solutions.International journal of population data science · 2021
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  15. A novel method for identifying care home residents in England: a validation study.International journal of population data science · 2020
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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

7 authors.

Jennifer K BurtonAlzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK.
Charis A MarwickPopulation Health Sciences Division, School of Medicine, University of Dundee, Dundee, UK.
James GallowayHealth Informatics Centre, Ninewells Hospital, University of Dundee, Dundee, UK.
Christopher HallHealth Informatics Centre, Ninewells Hospital, University of Dundee, Dundee, UK.
Thomas NindHealth Informatics Centre, Ninewells Hospital, University of Dundee, Dundee, UK.
Emma L ReynishDementia and Ageing Research Group, Faculty of Social Science, University of Stirling, Stirling, UK.
Bruce GuthriePopulation Health Sciences Division, School of Medicine, University of Dundee, Dundee, UK.

Funding

Medical Research Council MR/K026992/1Medical Research Council MR/L501530/1
6 · The paper itself

Abstract

Background: there is no established method to identify care-home residents in routine healthcare datasets. Methods matching patient's addresses to known care-home addresses have been proposed in the UK, but few have been formally evaluated. Study design: prospective diagnostic test accuracy study. Methods: four independent samples of 5,000 addresses from Community Health Index (CHI) population registers were sampled for two NHS Scotland Health Boards on 1 April 2017, with one sample of adults aged ≥65 years and one of all residents. To derive the reference standard, all 20,000 addresses were manually adjudicated as 'care-home address' or not. The performance of five methods (NHS Scotland assigned CHI Institution Flag, exact address matching, postcode matching, Phonics and Markov) was evaluated compared to the reference standard. Results: the CHI Institution Flag had a high PPV 97-99% in all four test sets, but poorer sensitivity 55-89%. Exact address matching failed in every case. Postcode matching had higher sensitivity than the CHI flag 78-90%, but worse PPV 77-85%. Area under the receiver operating curve values for Phonics and Markov scores were 0.86-0.95 and 0.93-0.98, respectively. Phonics score with cut-off ≥13 had PPV 92-97% with sensitivity 72-87%. Markov PPVs were 90-95% with sensitivity 69-90% with cut-off ≥29.6. Conclusions: more complex address matching methods greatly improve identification compared to the existing NHS Scotland flag or postcode matching, although no method achieved both sensitivity and positive predictive value > 95%. Choice of method and cut-offs will be determined by the specific needs of researchers and practitioners.

Indexed as

Datasets as TopicAgedFemaleHomes for the AgedHumansMaleNursing HomesProspective StudiesReproducibility of ResultsScotland

Identifiers

PMID30124764
PMCPMC6322499

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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.