Abel, K.M., Edwardes, A., Tranter, H. orcid.org/0000-0003-1530-4018 et al. (8 more authors) (2025) Core Mental Health Data Set (CMHDS) methods feasibility paper. BMJ Health & Care Informatics, 32 (1). e101446. ISSN: 2632-1009
Abstract
Objectives: Little 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.
Methods: Four 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.
Results: A 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.
Conclusion: Future 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.
Metadata
| Item Type: | Article |
|---|---|
| Authors/Creators: |
|
| Copyright, Publisher and Additional Information: | © Author(s) (or their employer(s)) 2025. Re-use permitted under CC BY. Published by BMJ Group.Open access: This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
| Keywords: | BMJ Health Informatics; Data Systems; Health Information Systems; Patient Involvement; Humans; Mental Health; Male; Female; Feasibility Studies; Adult; Middle Aged; Cystic Fibrosis; Datasets as Topic; Data Collection |
| Dates: |
|
| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > ScHARR - Sheffield Centre for Health and Related Research |
| Date Deposited: | 23 Dec 2025 16:27 |
| Last Modified: | 23 Dec 2025 16:27 |
| Status: | Published |
| Publisher: | BMJ |
| Refereed: | Yes |
| Identification Number: | 10.1136/bmjhci-2025-101446 |
| Related URLs: | |
| Sustainable Development Goals: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:235917 |
Download
Filename: e101446.full.pdf
Licence: CC-BY 4.0


CORE (COnnecting REpositories)
CORE (COnnecting REpositories)