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dc.contributor.authorFrost, J
dc.contributor.authorHobson-Merrett, C
dc.contributor.authorGask, L
dc.contributor.authorClark, M
dc.contributor.authorPinfold, V
dc.contributor.authorPlappert, H
dc.contributor.authorReilly, S
dc.contributor.authorGibson, J
dc.contributor.authorRichards, D
dc.contributor.authorDenyer, R
dc.contributor.authorByng, R
dc.date.accessioned2023-08-07T12:24:01Z
dc.date.issued2023-08-03
dc.date.updated2023-08-07T10:02:10Z
dc.description.abstractBackground This paper explores the extent to which the implementation and evaluation of a collaborative care model of face-to-face service delivery for people with severe mental illness was viable during the first UK lockdown associated with COVID-19. The PARTNERS2 cluster randomised controlled trial and process evaluation were co-designed with service users and carers. The aim of this paper is to explore whether digital adaptation of the PARTNERS model for people with severe mental illness during the COVID-19 lockdown was equitable, in terms of fostering collaboration and trust in a vulnerable population. Results We collected qualitative data from multiple sources during lockdown and subsequently constructed case-studies of participating secondary care workers. We adopted Bauman’s notions of liquid modernity to inform our analysis, and identified that digital adaptation during lockdown was only successful where organisational policies, care partner skills and service users’ existing resources were optimal. Conclusion PARTNERS2 can be delivered digitally by a care partner to support people with severe mental illness to identify and work towards their goals when existing resources are optimal. However, at a time of increased need, we identified that people who are very unwell and living with limited access to resources and opportunities, remained disenfranchised at great cost. Trial registration ISRCTN 95702682, registered 26.10.2017en_GB
dc.description.sponsorshipNational Institute for Health and Care Research (NIHR)en_GB
dc.identifier.citationVol. 1, article 28en_GB
dc.identifier.doihttps://doi.org/10.1186/s44247-023-00028-x
dc.identifier.grantnumberRP-PG-0611-20004en_GB
dc.identifier.urihttp://hdl.handle.net/10871/133722
dc.identifierORCID: 0000-0002-3503-5911 (Frost, Julia)
dc.language.isoenen_GB
dc.publisherBMCen_GB
dc.rights© The Author(s) 2023. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/en_GB
dc.titleLiquidity and uncertainty: digital adaptation of a complex intervention for people with severe mental illness during the COVID-19 lockdownen_GB
dc.typeArticleen_GB
dc.date.available2023-08-07T12:24:01Z
dc.identifier.issn2731-684X
exeter.article-number28
dc.descriptionThis is the final version. Available on open access from BMC via the DOI in this recorden_GB
dc.descriptionAvailability of data and materials: Transcripts will not be shared in their entirety to protect the anonymity of participants and the facilitators delivering the intervention. However, requests for excerpts of the data will be considered on an individual basis. Please contact the corresponding author.en_GB
dc.identifier.eissn2731-684X
dc.identifier.journalBMC Digital Healthen_GB
dc.relation.ispartofBMC Digital Health, 1(1)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-06-28
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-08-03
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-08-07T12:22:17Z
refterms.versionFCDVoR
refterms.dateFOA2023-08-07T12:24:05Z
refterms.panelAen_GB
refterms.dateFirstOnline2023-08-03


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© The Author(s) 2023. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which 
permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the 
original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or 
other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line 
to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory 
regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this 
licence, visit http://creativecommons.org/licenses/by/4.0/
Except where otherwise noted, this item's licence is described as © The Author(s) 2023. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/