Evidence map›Paper›PMID 42474961›Full record

ArticleApplied health economics and health policy2026

Using Patient and Public Involvement to Develop a Survey for Economic Evaluation in Dementia Research.

Gillian Eaglestone, Charlotte Stoner, Rosana Pacella, Paul McCrone

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Article in Applied health economics and health policy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Gillian EaglestoneInstitute for Lifecourse Development, University of Greenwich, London, UK. gillian.eaglestone@greenwich.ac.uk.ORCID http://orcid.org/0000-0001-9860-8679
Charlotte StonerGeller Institute of Ageing and Memory, University of West London, London, UK.ORCID http://orcid.org/0000-0002-1536-4347
Rosana PacellaInstitute for Lifecourse Development, University of Greenwich, London, UK.ORCID http://orcid.org/0000-0002-9742-1957
Paul McCroneInstitute for Lifecourse Development, University of Greenwich, London, UK.ORCID http://orcid.org/0000-0001-7001-4502

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis methodological paper reflects on how people with lived experience of dementia contributed to the development and refinement of a survey intended to identify priorities for future economic evaluation in dementia research. Although Patient and Public Involvement (PPI) is increasingly recognised as essential for producing relevant and ethical health research, people living with dementia are rarely included in PPI activities related to health economics, where outcomes are often predetermined by decision-making bodies.

methodTo support the development and refinement of the survey, a small bespoke PPI group comprising four individuals with lived experience in England reviewed draft survey materials through online meetings and helped ensure the survey was accessible and meaningful through feedback on survey clarity, accessibility, and response options.

resultsPPI contributions led to important refinements, including simplifying terminology, removing ambiguous or burdensome items, and enhancing overall usability. DISCUSSION: The findings demonstrated the significant value of involving PPI contributors early and collaboratively, showing that co-design approaches enrich the relevance and sensitivity of research tools. The experience also highlighted the need for tailored support and an accessible introduction to health economic concepts for PPI contributors, alongside broader participation across study stages and engagement in dissemination activities.

Identifiers

PMID42474961

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.