Evidence map›Paper›PMID 41386969›Full record

ArticleBMJ health & care informatics2025

Core Mental Health Data Set (CMHDS) methods feasibility paper.

Kathryn Mary Abel, Auden Edwardes, Heidi Tranter, Paul Dark, Robert D Sandler, Philip A Kalra, Ann John, Martin Wildman, Philip Bell, Nawar Diar Bakerly and 1 more

Abstract read
In one paragraph

Article in BMJ health & care informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Kathryn Mary AbelCentre for Women's Mental Health, The University of Manchester Faculty of Biology Medicine and Health, Manchester, England, UK.
Auden EdwardesCentre for Women's Mental Health, The University of Manchester Faculty of Biology Medicine and Health, Manchester, England, UK.
Heidi TranterCentre for Women's Mental Health, The University of Manchester Faculty of Biology Medicine and Health, Manchester, England, UK heidi.tranter@manchester.ac.uk.ORCID http://orcid.org/0000-0003-1530-4018
Paul DarkSalford Care Organisation, Northern Care Alliance NHS Foundation Trust, Salford, England, UK.
Robert D SandlerAdult CF Centre, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
Philip A KalraSalford Care Organisation, Northern Care Alliance NHS Foundation Trust, Salford, England, UK.
Ann JohnSchool of Health Data Science, Swansea University, Swansea, UK.
Martin WildmanAdult CF Centre, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
Philip BellPrimer, The University of Manchester, Manchester, England, UK.
Nawar Diar BakerlyOaklands Hospital, Salford, England, UK.
Pauline WhelanGM.Digital Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLittle research focuses on mechanisms underlying the well-recognised relationship between mental and physical health, or its potential to influence adherence and response to treatments. This short report summarises results of the National Institute for Health and Care Research-funded 'Core Mental Health Data Set (CMHDS)' study to embed a digital tool for routine collection of mental health data in physical health studies.

methodsFour chief investigators of physical health trials were approached to embed the CMHDS into their study. Two trials, one for people receiving specialist cystic fibrosis (CF) care, and the established Salford Kidney Study (SKS) successfully managed to embed CMHDS.

resultsA combined 478 participants from both studies were invited to complete the CMHDS. Of those approached, 88% agreed to complete CMHDS; 44% completed it. In the SKS, people who completed CMHDS were significantly younger and had higher estimated glomerular filtration rates and were from least deprived areas. In the CF study, there was no significant difference in characteristics of participants who did or did not complete the tool. DISCUSSION: It was feasible, and researchers and participants considered it acceptable, to embed the CMHDS in physical health studies as part of routine data collection.

conclusionFuture studies should embed the CMHDS routinely and encourage completion to minimise bias and optimise the added value of having mental health covariates or predictor variables in physical health studies.

Indexed as

Data CollectionDatasets as TopicMental HealthAdultCystic FibrosisFeasibility StudiesFemaleHumansMaleMiddle AgedBMJ Health InformaticsData SystemsHealth Information SystemsPatient Involvement

Identifiers

PMID41386969
PMCPMC12699609

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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.