Longitudinal realist evaluation of the dementia PersonAlised care team (D-PACT) intervention: protocol

Hannah Wheat*, Lauren Weston, Tomasina M. Oh, Sarah Morgan-Trimmer, Wendy Ingram, Sarah Griffiths, Rod Sheaff, Paul Clarkson, Antonieta Medina-Lara, Crispin Musicha, Stuart Spicer, Obioha Ukoumunne, Victoria Allgar, Siobhan Creanor, Michael Clark, Cath Quinn, Alex Gude, Rose McCabe, Saqba Batool, Lorna SmithDebra Richards, Hannah Shafi, Bethany Warwick, Reena Lasrado, Basharat Hussain, Hannah Jones, Sonia Dalkin, Angela Bate, Ian Sherriff, Louise Robinson, Richard Byng

*Corresponding author for this work

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Abstract

Different dementia support roles exist but evidence is lacking on which aspects are best, for whom and in what circumstance, and on their associated costs and benefits. Phase 1 of the Dementia PersonAlised Care Team programme (D-PACT), developed a post-diagnostic primary care-based intervention for people with dementia and their carers and assessed the feasibility of a trial. Phase 2 of the programme aims to 1) refine our programme theory on how, when and for whom the intervention works and 2) evaluate its value and impact. A realist longitudinal mixed-methods evaluation will be conducted in urban, rural, and coastal areas across Southwest and Northwest England where low-income groups or ethnic minorities (eg, South Asian) are represented. Design was informed by patient, public and professional stakeholder input and Phase one findings. High volume qualitative and quantitative data will be collected longitudinally from people with dementia, carers and practitioners. Analyses will comprise: 1) realist longitudinal case studies; 2) conversation analysis of recorded interactions; 3) statistical analyses of outcome and experience questionnaires; 4 a) health economic analysis examining costs of delivery; 4b) realist economic analysis of high-cost events and 'near misses'. All findings will be synthesised using a joint display table, evidence appraisal tool, triangulation and stakeholder co-analysis. Our realist evaluation will describe how, why and for whom the intervention leads (or not) to change over time; it also demonstrates how a non-randomised design can be more appropriate for complex interventions with similar questions or populations. [Abstract copyright: Copyright © 2023, The Authors.]
Original languageEnglish
Article numberBJGPO.2023.0019
Number of pages13
JournalBJGP Open
Volume7
Issue number3
Early online date12 Jul 2023
DOIs
Publication statusPublished - 19 Sept 2023

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