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Enregistrement W2885986349 · doi:10.1186/s40900-018-0111-5

Models and frameworks of patient engagement in health services research: a scoping review protocol

2018· review· en· W2885986349 sur OpenAlex

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fundUn bailleur canadien est enregistré sur le travail.

Notice bibliographique

RevueResearch Involvement and Engagement · 2018
Typereview
Langueen
DomaineHealth Professions
ThématiqueMental Health and Patient Involvement
Établissements canadiensGeorge & Fay Yee Centre for Healthcare InnovationChildren's Hospital Research Institute of ManitobaHorizon Health NetworkUniversity of Manitoba
Organismes subventionnairesUniversity of ManitobaResearch Manitoba
Mots-clésProtocol (science)MedicinePsychologyKnowledge managementComputer scienceAlternative medicine

Résumé

récupéré en direct d'OpenAlex

Patient engagement in research is an emerging approach that involves active and meaningful collaboration between researchers and patients throughout all phases of a project, including planning, data collection and analysis, and sharing of findings. To better understand the core features (elements) that underlie patient engagement, it is useful to have a look at models and frameworks that guide its conduct. Therefore, this manuscript aims to present a protocol for a scoping review of models and frameworks of patient engagement in health services research. Methods: Our protocol design is based on an established framework for conducting scoping reviews. We will identify relevant models and frameworks through systematic searches of electronic databases, websites, reference lists of included articles, and correspondence with colleagues and experts. We will include published and unpublished articles that present models and frameworks of patient engagement in health services research and exclude those not in English or unavailable as full texts. Two reviewers will independently review abstracts and full texts of identified articles for inclusion and extract relevant data; a third reviewer will resolve discrepancies. Our primary objective is to count and describe elements of patient engagement that overlap (present in 2 or more) and diverge among included models and frameworks. Discussion: We hope this review will raise awareness of existing models and frameworks of patient engagement in health services research. Further, by identifying elements that overlap and diverge between models and frameworks, this review will contribute to a clearer understanding of what patient engagement in research is and/or could be. Background: Patients can bring an expert voice to healthcare research through their lived experience of receiving healthcare services. Patient engagement in research is an emerging approach that challenges researchers to acknowledge and utilize this expertise through meaningful and active collaboration with patients throughout the research process. In order to facilitate a clearer understanding of the core elements that underlie patient engagement, it is useful to examine existing models and frameworks that guide its conduct. Therefore, the aim of this manuscript is to present a protocol for a scoping review of models and frameworks of patient engagement in health services research. Methods: Drawing on Arksey and O’Malley’s and Levac et al.’s framework for scoping reviews, we designed our protocol to identify relevant a) published articles through systematic searches of 7 electronic databases and snowball sampling and b) unpublished articles through systematic searches of databases and websites and snowball sampling. We will include published and unpublished models and frameworks of patient engagement in health services research and exclude those not in English or unavailable as full texts. Two reviewers will independently screen the abstracts and full texts of identified articles for inclusion and extract relevant data; a third reviewer will resolve disagreements. We will conduct a descriptive analysis of the characteristics (i.e., elements underlying patient engagement and those related to the study authors, publication, and model/framework) of included articles and a narrative analysis of the data concerning elements of the model or framework. Our primary objective is to count and describe elements of patient engagement that overlap (present in ≥ 2) and diverge (present in < 2) among identified models and frameworks. Discussion: Through identification of elements that overlap and diverge between existing models and frameworks, this review will provide a starting point for the critical reflection on our collective understanding of what patient engagement in health services research is and/or could be. Ultimately, we hope that the findings of this review raise awareness of existing models and frameworks and shed light on some of the complexity of conducting patient engaged research through identification of key elements that shape this approach.

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.

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)0,071
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict), Études des sciences et des technologies, Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: Revue systématique
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,449
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0710,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0030,001
Communication savante0,0000,000
Science ouverte0,0010,004
Intégrité de la recherche0,0010,008
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 Opus0,768
Tête enseignante GPT0,648
Écart entre enseignants0,120 · 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