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Enregistrement W4414443715 · doi:10.3389/frdem.2025.1692225

Editorial: Methods of engagement of dementia care users in research and practice development

2025· editorial· en· W4414443715 sur OpenAlexaff
George Kernohan, Suzanne Timmons, Anthea Innes, David Edvardsson

Notice bibliographique

RevueFrontiers in Dementia · 2025
Typeeditorial
Langueen
DomaineHealth Professions
ThématiqueMental Health and Patient Involvement
Établissements canadiensHamilton Health Sciences
Organismes subventionnairesnon disponible
Mots-clésDementiaCoproductionContext (archaeology)NeglectPsychosocialPsychological interventionHealth careParticipatory action research

Résumé

récupéré en direct d'OpenAlex

Introduction Dementia is a growing global health challenge, affecting over 57 million people worldwide and placing increasing pressure on health and social care systems (WHO, 2025). Despite the recognised value of involving people with dementia in coproduction and research, many researchers remain hesitant, often citing concerns about capacity, ethical complexity, or methodological limitations (Bethell et al, 2018). The imperative to involve people living with dementia and their care partners in research and practice development has gained increasing recognition in recent years. Participatory approaches, such as co-design and co-production, are now considered essential for creating interventions that are both meaningful and effective (Gove et al., 2018; Skivington et al., 2021). The "Methods of Engagement of Dementia Care Users in Research and Practice Development" collection in Frontiers in Dementia brings together articles that explore diverse strategies for involving people living with dementia and their supporters/caregivers in research and practice development. This editorial highlights the contributions of this collection, aiming to explore and advance innovative methods for engaging people living with dementia and their families in the design, implementation, and evaluation of dementia care interventions. This body of work emphasises participatory, co-design, and other collaborative approaches to research and practice development. Setting the scene: of gaps in research We start with Bartels et al. (2024) who present a robust opinion piece identifying key methodological gaps in psychosocial dementia research. They critique the field's continued overreliance on RCTs, which frequently neglect context complexity, stakeholder involvement, and theory-driven mechanisms, leading to potential implementation failures and wasted resources. Their core call is for more stakeholder-informed, participatory, and mixed-method designs aligned with MRC phases. They also introduce the METHODEM initiative to systematically map and prioritize suitable methods. The paper urges methodological reform by blending conceptual clarity with suggested action. By incorporating diverse research designs and prioritising meaningful stakeholder engagement, they and we propose a more holistic and effective approach for co-creating, evaluating and testing interventions that can be seamlessly translated into everyday practice. Valuing Lived Experience and Personhood Several other papers underscore the ethical imperative of fully recognising people with dementia as persons with human rights. This includes adopting approaches like the intentional stance (O'Shea, et al.) and valuing emotional, social, and identity-based outcomes of participation (Seidel et al.). This reframes engagement as an ethical, relational process rather than merely a technical exercise. Drawing on a single, powerful case study, O'Shea et al. illustrate how respectful, open-ended interaction can help temporarily bridge cognitive and communicative divides. Their integration of philosophical and methodological insights provides a valuable contribution to advancing inclusive dementia research practices and challenges the norm of passive participant roles. Lived experience was not only acknowledged but integrated to improve the relevance of tools and research design (Donnelly et al.). Indeed, our collection highlights the ethical dimensions of inclusion, such as informed consent (Diaz et al.), representation across dementia stages (Snowball et al.), and the need to avoid epistemic injustice (O'Shea et al.). This reflects a move toward flexible, person-centred research methods that uphold autonomy and dignity. On Co-Design and Participatory Methods Co-creation of research instruments and dissemination strategies emerges as a practical and empowering method. Donnelly et al. show how co-design improved survey usability. By collaborating with a research advisory group comprising people with Lewy body dementia and their supporters/caregivers, the researchers co-designed a survey that was both accessible and relevant to the target population. Their pragmatic approach to involving people with dementia in research used a hybrid method that combined focus groups and interviews within a single event, addressing resource constraints while still capturing valuable feedback. This involvement led to tangible improvements in the survey's design, such as clearer attribute descriptions and more user-friendly presentation. De Wolf-Linder et al. (2024) illustrate co-production across all research phases, not just design or data collection. They present a new model for engaging stakeholders in the dissemination of dementia research, promoting inclusivity and practical application of findings. Snowball et al. (2024) provide practical strategies for facilitating meaningful engagement, such as prioritising accessibility and fostering an inclusive environment, underscoring the importance of integrating diverse voices to enrich the research process and outcomes. Evaluating Engagement and Impact Several studies moved beyond participation to measure the quality and effects of engagement. Wong et al. used PEIRS-22 to track involvement quality, while Seidel et al. explored psychosocial outcomes of advisory group participation. Their participants reported enhanced self-perception of competence, feelings of joy and well-being, and increased social engagement. Notably, the study also acknowledges instances of sadness and insecurity, highlighting the complex emotional landscape of such involvement. Evaluation efforts indicate an increasing emphasis on accountability and learning in engagement practices. Enhancing Communication Effective engagement depends on reciprocal, accessible communication. Techniques like Music Mirrors (Edwards et al.) show the potential of integrating personalised audio-biographical cues into dementia care practices to enhance the quality of interactions. Their findings indicate that the use of Music Mirrors led to an improvement in the well-being of people with dementia, irrespective of the care environment. It is clear that conversational strategies grounded in selfhood theory (O'Shea et al.) support meaningful interaction. Diaz et al. emphasise tailoring consent processes with lived-experience insight, especially in the context of new ethical challenges like AI. The authors argue that involving people with dementia and their supporters/caregivers in designing consent procedures can lead to more ethical and effective research practices, and that there is a need for more practical strategies for implementing inclusive consent processes and ensuring broader representation. Engagement is also framed as a route to societal participation, not just research contribution. The Polish dementia campaign (Błaszkiewicz et al.) demonstrates that involvement fosters social health, belonging, and emotional well-being—reinforcing research as a vehicle for inclusion. Conclusion: Across the papers, a strong convergence emerges around inclusive, ethical, and relational approaches to involving people with dementia across the whole spectrum of research. Authors advocate for moving beyond tokenism toward co-created, evaluated, and socially embedded models of research. These studies push the field to prioritise dignity, agency, and meaningful connection, not only in methodology but in the broader purpose of dementia research.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,022
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesIntégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,363
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0220,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,001
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,263
Tête enseignante GPT0,559
Écart entre enseignants0,297 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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