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Exploring the contextual assumptions, interventions and outcomes of digital advance care planning systems: A theory of change approach to understand implementation and evaluation

Bradshaw, Andy; Allsop, Matthew J.; Birtwistle, Jacqueline; Evans, Catherine J.; Relton, Samuel D.; Richards, Suzanne H.; Twiddy, Maureen; Foy, Robbie; Millares Martin, Pablo; Yardley, Sarah; Sleeman, Katherine E.; On Behalf of the OPTIMAL CARE Project

Authors

Andy Bradshaw

Matthew J. Allsop

Jacqueline Birtwistle

Catherine J. Evans

Samuel D. Relton

Suzanne H. Richards

Robbie Foy

Pablo Millares Martin

Sarah Yardley

Katherine E. Sleeman

On Behalf of the OPTIMAL CARE Project



Abstract

Background: Digital advance care planning systems are used internationally to document and share patients’ wishes and preferences to inform care delivery. However, their use is impeded by a limited understanding of factors influencing implementation and evaluation. Aim: To develop mid-range programme theory to account for technological, infrastructure and human factor influences on digital advance care planning systems. Design: Exploratory qualitative research design incorporating Theory of Change workshops that explored contextual assumptions affecting digital advance care planning in practice. A mid-range programme theory was developed through thematic framework analysis using the Non-adoption, Abandonment, Scale-up, Spread and Sustainability (NASSS) framework, generating a conceptual model depicting contextual assumptions, interventions and outcomes influencing implementation. Participants: A total of 38 participants (16 from London, 14 from West Yorkshire and 8 online) including patients, carers and health and care professionals (including those with commissioning responsibilities). Results: A conceptual model was generated depicting five distinct components relating to digital advance care planning system use: (sociocultural, technical and structural prerequisites; recognition of the clinical need for conversation; having conversations and documenting decisions; accessing, actioning and amending; and using data to support evaluation, use and implementation). There were differences and uncertainty relating to what digital advance care planning systems are, who they are for and how they should be evaluated. Conclusions: Digital advance care planning lacks shared beliefs and practices, despite these being essential for complex technology implementation. Our mid-range programme theory can guide their further development and application by considering technological, infrastructure and human factor influences to optimise their implementation.

Citation

Bradshaw, A., Allsop, M. J., Birtwistle, J., Evans, C. J., Relton, S. D., Richards, S. H., Twiddy, M., Foy, R., Millares Martin, P., Yardley, S., Sleeman, K. E., & On Behalf of the OPTIMAL CARE Project. (2024). Exploring the contextual assumptions, interventions and outcomes of digital advance care planning systems: A theory of change approach to understand implementation and evaluation. Palliative medicine, https://doi.org/10.1177/02692163241280134

Journal Article Type Article
Acceptance Date Aug 23, 2024
Online Publication Date Sep 21, 2024
Publication Date Jan 1, 2024
Deposit Date Sep 2, 2024
Publicly Available Date Sep 24, 2024
Journal Palliative Medicine
Print ISSN 0269-2163
Publisher SAGE Publications
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1177/02692163241280134
Keywords Palliative care; Electronic health record systems; Advance care planning; End of life care; Technology; Mid-range programme theory
Public URL https://hull-repository.worktribe.com/output/4793715

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0

Copyright Statement
© The Author(s) 2024.
Creative Commons License (CC BY 4.0)
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 pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).





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