Matthew J Allsop
Optimising Digital Advance Care Planning Implementation in Palliative and End-of-life Care: A multi-phase mixed-methods national research programme and recommendations
Allsop, Matthew J; Birtwistle, Jacqueline; Bennett, Michael I; Bradshaw, Andy; Carder, Paul; Evans, Catherine J; Foy, Robbie; Heavin, Ciara; Hibbert, Barbara; Martin, Pablo Millares; Relton, Sam D; Richards, Suzanne H; Twiddy, Maureen; Sleeman, Katherine E
Authors
Jacqueline Birtwistle
Michael I Bennett
Andy Bradshaw
Paul Carder
Catherine J Evans
Robbie Foy
Ciara Heavin
Barbara Hibbert
Pablo Millares Martin
Sam D Relton
Suzanne H Richards
Dr Maureen Twiddy M.Twiddy@hull.ac.uk
Reader in Mixed Methods Research
Katherine E Sleeman
Abstract
Background: Digital advance care planning (DACP) is increasingly used globally for patients with life-limiting conditions to support real-time documentation and the sharing of preferences for care. There has been low engagement with DACP systems, with patients often having information about their care preferences documented late in their illness trajectory or not at all. To optimise implementation, the Optimal Care research programme sought to understand DACP system use from multiple perspectives to guide their development and evaluation.
Methods: Between 2020 and 2023, our mixed-methods research programme sought an understanding of DACP implementation from multiple perspectives, including (i) national online survey of end-of-life care commissioning leads in England; (ii) online survey of community and hospital-based health and care professionals in two geographical regions; (iii) semi-structured interviews with a sample of survey respondents; (iv) focus groups and interviews with patients with life-limiting illness and their carers and (v) regional and national Theory of Change workshops. Findings were organised by five phases of a conceptual model of DACP generated during the programme and further categorised using the Non-adoption, Abandonment, Scale-up, Spread and Sustainability (NASSS) framework.
Results: A total of 788 stakeholders participated. Twenty evidence-based recommendations were distilled from data collected across the research programme to guide the implementation of DACP in routine care. Considerations are provided across the five phases of DACP implementation (system design, recognition of clinical need for DACP, documentation processes, health and care professional engagement with DACP and DACP evaluation). Recommendations prioritise a focus on end-user needs and experiences, alongside highlighting the requisite need for DACP systems to support information exchange across settings involved in the care of people with life-limiting conditions.
Conclusions: As currently designed and implemented, DACP systems may be falling short of their potential and are not working as intended for patients, carers and health and care professionals. The application of the recommendations should ensure consideration of the wider ecosystem in which DACP is being implemented, prioritising end-user experiences. Future research should prioritise developing approaches that target health and care professional DACP system engagement, alongside developing and evaluating patient and carer access to DACP systems.
Citation
Allsop, M. J., Birtwistle, J., Bennett, M. I., Bradshaw, A., Carder, P., Evans, C. J., Foy, R., Heavin, C., Hibbert, B., Martin, P. M., Relton, S. D., Richards, S. H., Twiddy, M., & Sleeman, K. E. (2025). Optimising Digital Advance Care Planning Implementation in Palliative and End-of-life Care: A multi-phase mixed-methods national research programme and recommendations. BMC medicine, 23, Article 291. https://doi.org/10.1186/s12916-025-04114-x
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 29, 2025 |
Online Publication Date | May 20, 2025 |
Publication Date | 2025 |
Deposit Date | Apr 29, 2025 |
Publicly Available Date | May 27, 2025 |
Electronic ISSN | 1741-7015 |
Publisher | Springer Verlag |
Peer Reviewed | Peer Reviewed |
Volume | 23 |
Article Number | 291 |
DOI | https://doi.org/10.1186/s12916-025-04114-x |
Public URL | https://hull-repository.worktribe.com/output/5135388 |
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© The Author(s) 2025.
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.
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