Manning, J.C., Marufu, T.C., Carter, T., Bolton, S., Breedon, P. ORCID: 0000-0002-1006-0942, Craven, M., Frost, K., Harbottle, A., Hendron, E., Patel, J., Rad, L., White, P., Wood, D., Albelbisi, Z., Kaltsa, A., Stevenson, C., Landa, P. and Coad, J.,
2023.
Developing a prototype digital risk mitigation pathway for children and young people admitted to acute paediatric NHS care in mental health crisis: Protocol of the Safety Assessment in Paediatric healthcare Environments (SAPhE) pathway study.
Digital Health, 9.
ISSN 2055-2076
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1820630_Breedon.pdf - Published version Download (1MB) | Preview |
Abstract
Background: Globally, there are increasing numbers of Children and young people (CYPs) experiencing a mental health crisis requiring admission to acute paediatric inpatient care. These CYPs can often experience fluctuating emotional states accompanied by urges to self-harm or attempt to end their life, leading to reduced safety and poorer experiences. Currently, in the UK National Health Service (NHS) there are no standardised, evidence-based interventions in acute paediatric care to mitigate or minimise immediate risk of self-harm and suicide in CYP admitted with mental health crisis.
Objective: To outline the protocol for the SAPhE Pathway study which aims to: 1) identify and prioritise risk mitigation strategies to include in the digital prototype, 2) understand the feasibility of implementing a novel digital risk mitigation pathway in differing NHS contexts, and 3) co-create a prototype digital risk mitigation pathway.
Methods: This is a multi-centre study uses a mixed-methods design. A systematic review and exploratory methods (interviews, surveys, and focus groups) will be used to identify the content and feasibility of implementing a digital risk mitigation pathway. Participants will include healthcare professionals, digital experts and CYP with experience of mental health conditions. Data will be collected between January 2022 and March 2023 and analysed using content and thematic analysis, case study, cross-case analysis for qualitative data and descriptive statistics for quantitative data. Findings will inform the experience-based co-design workshops.
Ethics and Dissemination: The study received full ethical approval from NHS REC [Ref: 22/SC/0237 and 22/WM/0167]. Findings will be made available to all stakeholders using multiple approaches.
Item Type: | Journal article | ||||||
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Publication Title: | Digital Health | ||||||
Creators: | Manning, J.C., Marufu, T.C., Carter, T., Bolton, S., Breedon, P., Craven, M., Frost, K., Harbottle, A., Hendron, E., Patel, J., Rad, L., White, P., Wood, D., Albelbisi, Z., Kaltsa, A., Stevenson, C., Landa, P. and Coad, J. | ||||||
Publisher: | Sage | ||||||
Date: | 12 October 2023 | ||||||
Volume: | 9 | ||||||
ISSN: | 2055-2076 | ||||||
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Rights: | This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). | ||||||
Divisions: | Schools > School of Science and Technology | ||||||
Record created by: | Jonathan Gallacher | ||||||
Date Added: | 17 Oct 2023 14:47 | ||||||
Last Modified: | 17 Oct 2023 14:53 | ||||||
URI: | https://irep.ntu.ac.uk/id/eprint/49997 |
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