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Enregistrement W3096082061 · doi:10.1186/s40900-020-00238-x

Patients’ engagement in primary care research: a case study in a Canadian context

2020· article· en· W3096082061 sur OpenAlexaffabout
Divya Kanwar Bhati, M. Fitzgerald, Claire Kendall, Simone Dahrouge

Notice bibliographique

RevueResearch Involvement and Engagement · 2020
Typearticle
Langueen
DomaineHealth Professions
ThématiqueMental Health and Patient Involvement
Établissements canadiensOttawa HospitalSt. Michael's HospitalUniversity of OttawaBruyère
Organismes subventionnairesnon disponible
Mots-clésExcellenceContext (archaeology)NursingResource (disambiguation)Health careHealth services researchMedicinePublic engagementMedical educationPublic relationsPsychologyPolitical sciencePublic healthGeography

Résumé

récupéré en direct d'OpenAlex

Patient engagement in primary care research is an increasingly common requirement, as it helps make research more relevant to patients and therefore more valuable. However, there is limited evidence about the outcomes on engagement and actually how it affects research. In Canada, the Canadian Institutes of Health Research has a Strategy for Patient-Oriented Research (SPOR), which in 2016 funded Ontario's INSPIRE-PHC centre of excellence and its Patient Engagement Resource Centre (PERC). PERC conducted an online survey of the three INSPIRE-PHC studies that engaged patients to guide their research. We found that patient partners (PPs) were positive about their experience during research meetings, the value of collaboration, and the support that was provided. They were more involved in early stages of their research projects than in ongoing research activities. PPs valued their experience and also felt they had improved the research process and outcomes. This case study showed how PPs perceive their roles, but a more diverse group of PPs might have more differences in their experience. Background Patient engagement in primary care research is increasing and is now an expectation in many countries and funding agencies. In Canada, the Canadian Institutes of Health Research (CIHR) has mandated that patients be included as partners to guide the research process. Ontario's Patient Engagement Resource Centre (PERC) was established in 2016 by the INNOVATIONS STRENGTHENING PRIMARY HEALTH CARE THROUGH RESEARCH (INSPIRE-PHC), one of 12 centres of excellence in the province funded under the CIHR's Strategy for Patient-Oriented Research (SPOR) initiative. PERC's mission is to support the authentic engagement of patients in primary care research. The present case study examines patients' experience of engagement in INSPIRE-PHC research studies. Methods PERC conducted a web-based evaluation survey across the three INSPIRE-PHC studies that engaged patient partners (PPs). We used data collection tools developed by McMaster University (the Public and Patient Engagement Evaluation Tool (PPEET)) and the Patient-Centred Outcomes Research Institute (Ways of Engaging- ENgagement ACtivity Tool (WE-ENACT)) to assess patient experience and areas of involvement. These included both closed- and open-ended questions. Results The quantitative data showed that PPs were positive about their experience during research meetings, the value of collaboration, and the support that was provided to facilitate engagement. Most of them were highly involved in the initial stages of their research projects but much less involved in operational activities. The qualitative findings showed that, overall, PPs valued their experience, felt prepared to contribute and that their contributions were welcomed. In particular, they considered that they had improved the research process and outcomes. The majority also reported that they had learned from the experience and found it valuable. Conclusions This case study shows that patients engaged in three primary care research studies found the experience to be positive and felt that they had contributed to the research. This study adds to the literature on the evaluation of patient engagement in primary health care research. However, a study of a more diverse sample of PPs might elucidate differences in experience that could enrich future patient engagement activities.

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)0,023
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-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: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,663
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0230,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0030,000
Communication savante0,0000,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,004
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 Opus0,717
Tête enseignante GPT0,534
Écart entre enseignants0,183 · 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; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeQualitatif
Domainenon disponible
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

Citations24
Publié2020
Routes d'admission2
Résumé présentoui

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