Irvine, L., Burton, J. , Ali, M. , Booth, J., Desborough, J., Logan, P., Moniz-Cook, E., Surr, C., Wright, D. and Goodman, C. (2024) Data resource profile: the Virtual International Care Home Trials Archive (VICHTA). International Journal of Population Data Science, 8(6), 04. (doi: 10.23889/ijpds.v8i6.2161)
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Abstract
Introduction: Randomised controlled trials (RCTs) conducted in care home settings address a range of health conditions impacting older people, but often include a common core of data about residents and the care home environment. These data can be used to inform service provision, but accessing these data can be challenging. Methods: The Virtual International Care Home Trials Archive (VICHTA) collates care home RCTs conducted since 2010, with >100 participants, across multiple conditions, with documented eligibility criteria, initially identified from a scoping review. A Steering Committee comprising contributing trialists oversees proposed uses of fully anonymised data. We characterised available demography and outcomes to inform potential analyses. Data are accessible via application to the Virtual Trials Archives, through a secure online analysis platform. Trial recruitment is ongoing and future expansion will include international studies. Results: The first phase of VICHTA includes data from six UK RCTs, with individual participant data (IPD) on 5,674 residents across 308 care homes. IPD include age, sex, dementia status, length of stay, quality of life, clinical outcome measures, medications, resource use, and care home characteristics, such as funding, case mix, and occupancy. Follow-up ranges between four and sixteen months. Conclusions: VICHTA collates and makes accessible data on a complex and under-represented research population for novel analyses, and to inform design of future studies. Planned expansion to international care home RCTs will facilitate a wider range of research questions. Interested collaborators can submit trial data or request data at www.virtualtrialsarchives.org.
| Item Type: | Articles |
|---|---|
| Additional Information: | Initial development was funded through the DACHA study. DACHA - full title “Developing research resources and minimum dataset for Care Homes adoption” – was funded by NIHR Health Service & Delivery Research (HS&DR grant ref: NIHR127234)) for the study period November 2019 – October 2023. DACHA is sponsored by the University of Hertfordshire and supported by the National Institute of Health and Care Research (NIHR) Applied Research Collaboration East of England (ARC EoE) programme. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Burton, Dr Jenni and Ali, Dr Myzoon |
| Authors: | Irvine, L., Burton, J., Ali, M., Booth, J., Desborough, J., Logan, P., Moniz-Cook, E., Surr, C., Wright, D., and Goodman, C. |
| College/School: | College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health |
| Journal Name: | International Journal of Population Data Science |
| Publisher: | Swansea University |
| ISSN: | 2399-4908 |
| ISSN (Online): | 2399-4908 |
| Copyright Holders: | Copyright © 2024 The Authors |
| First Published: | First published in International Journal of Population Data Science 8(6):04 |
| Publisher Policy: | Reproduced under a Creative Commons license |
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