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Enregistrement W4367060037 · doi:10.5463/thesis.210

Structurally embedding patient involvement in the health research system: an ongoing quest

2023· dissertation· en· W4367060037 sur OpenAlexaff
Simone Harmsen

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineHealth Professions
ThématiqueMental Health and Patient Involvement
Établissements canadiensAthena Sustainable Materials Institute
Organismes subventionnairesnon disponible
Mots-clésAction (physics)GuidelinePositivismClinical PracticePsychologyPolitical sciencePublic relationsMedicineNursingLaw

Résumé

récupéré en direct d'OpenAlex

The health research system faces critique for insufficiently matching patients’ needs. To combat this, patient involvement in health research decision-making has been advocated for. Such involvement requires a new way of thinking (culture), organising (structure) and working (practice) for all systems actors. Such a change is hard to achieve: despite patients being involved in various research phases, it is not standard practice and many difficulties remain. This thesis explores the state of the transition towards a system in which involvement is embedded in culture, structure and practice; investigates which factors influence this transition; and experiments with tools and strategies to support transition. I conducted three action-oriented projects. Case one explored child participation in guideline development. We found difficulties around involvement of adults in guideline development appear heightened for children: it hardly happens and children are not taken seriously, child participation is deemed difficult, the structure is rigid and a systems transformation seems not considered urgent by dominant actors. Case one appears in the predevelopment stage, as limited niche experiments by frontrunners have not yet impacted the dominant system. In case two we co-designed a tool stimulating and supporting health researchers to meaningfully involve patients in research design and conduct. Frontrunners and early adaptors are increasingly involving patients. However, involvement is not standard practice, and when it is done it is not always meaningful; it can easily become a checkbox action and impact on decision-making is limited. The traditional, positivistic research culture and rigid structures remain largely unaltered. Prerequisites from funders have not been accompanied by sufficiently accommodating structural changes. This case appears in the take-off phase; some changes to the dominant system appear, but the status quo remains unaltered. In case three, we experimented with the development of a uniquely broad innovation agenda. Patients perspectives not only were important in grounding our broad innovation agenda, this broad approach lead to insights into the issues that hinder the impact of research (agendas). This lead me to critically assess current involvement in agenda-setting. Literature indicates a systems transition for patient involvement in agenda-setting may be reaching the stabilisation phase, as a new culture, structure and practice start to cement. Involvement in agenda-setting has become common practice, and many systems actors have embraced it. Various standardised methods exist, with seemingly little radical innovation. Simultaneously, studies indicate that the impact of such research-agendas on research practice is limited. Thus, stabilisation of the current culture-structure-practice might be undesirable. Despite promising developments, involvement remains an add-on to the traditional system. Interestingly, collective discussion about the functionality of the current health research system, with regards to patient involvement, appears limited. A shared vision of a system in which meaningful involvement is embedded, or the changes that are needed is absent. Consequently, there is little sense of urgency for systems change. Patient involvement risks becoming an ‘intervention’ that must be ‘implemented’, instead of entailing a fundamentally new way of thinking, working and organising. Therefore, transition arenas are required, where different actors collectively discuss the fundamental beliefs, rationales and aims underpinning the health research system. Consequently the role of patient involvement herein and the structural changes required to make this meaningful, should be scrutinized. Experimental new practices and structures should complement this arena. Additionally, case one and two showed that professionals need support to acquire the new competencies required for meaningful involvement. We designed two support tools that stimulate an open and reflexive attitude and stimulate action. In the predevelopment stage, such tools can support frontrunners in experimentation. In later transition stages, they can support a wider group of professionals. However, tools must be accompanied by additional support structures.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,310
score de la tête « metaresearch » (Gemma)0,277
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesMétarecherche
DomaineSignal candidat: Méthodes · Signal consensuel: Méthodes
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,690
Score d'incertitude au seuil0,850

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,3100,277
Méta-épidémiologie (sens strict)0,0010,002
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0030,003
Études des sciences et des technologies0,0240,061
Communication savante0,0540,049
Science ouverte0,0090,051
Intégrité de la recherche0,0120,026
Charge utile insuffisante (le modèle a refusé de juger)0,0090,003

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 Opus0,492
Tête enseignante GPT0,569
Écart entre enseignants0,076 · 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; l’étiquette directe de Gemma et le classifieur distillé Codex s’accordent sur ce qui est montré ici.

Devis d'étudeQualitatif
DomaineMéthodes
GenreEmpirique

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

En bref

Citations1
Publié2023
Routes d'admission1
Résumé présentoui

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