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Enregistrement W2891284620 · doi:10.1186/s40900-018-0117-z

Early career researchers’ perspectives and roles in patient-oriented research

2018· article· en· W2891284620 sur OpenAlexaffabout
Geneviève Rouleau, Jean‐Christophe Bélisle‐Pipon, Stanislav Birko, Philippe Karazivan, Nicolás Fernández, Karine Bilodeau, Yi‐Sheng Chao, Alexandra de Pokomandy, Véronique Foley, Bruno Gagnon, Samantha Gontijo Guerra, Cynthia Khanji, Catherine Lamoureux‐Lamarche, Bertrand Lebouché, Carlotta Lunghi, Matthew Menear, Bruno Riverin, Claudie Rodrigue

Notice bibliographique

RevueResearch Involvement and Engagement · 2018
Typearticle
Langueen
DomaineHealth Professions
ThématiqueMental Health and Patient Involvement
Établissements canadiensUniversité de SherbrookeMcGill UniversityUniversité LavalUniversité de MontréalCanadian Agency for Drugs and Technologies in HealthDalhousie University
Organismes subventionnairesnon disponible
Mots-clésExperiential knowledgeExperiential learningPsychologyDelphi methodHealth careMedical educationMedicineKnowledge managementPedagogyPolitical scienceComputer scienceEpistemology

Résumé

récupéré en direct d'OpenAlex

Patient-oriented research (POR) has received increasing attention in recent years. In this approach, patients’ experiential knowledge, derived from their experiences of living with a condition or illness and of interacting with the healthcare system, is recognized, valued, and seen as complementary to scientific knowledge. Early career researchers (ECRs) are the next generation of researchers, but little is known about how they perceive POR. In this study, ECRs were invited to reflect on what POR is, how patients can best contribute to research, and ECRs’ own role in developing POR. Using a technique designed to collect expert opinions and find consensus—the Delphi method—a panel of 16 ECRs responded, in three rounds, to three questionnaires, with the second and third being built on responses to the preceding ones. Based on their understanding, the panelists agreed that the most important element in defining POR would be valuing, mobilizing, and legitimizing the experiential knowledge of patients who live with a particular health condition. Panelists considered patients to be integral members of the research team, but were less convinced that they should be considered co-researchers. The panelists saw themselves as taking part in developing POR by sharing information, teaching, and encouraging POR among their peers, as well as by participating actively in organizations interested in POR. This is the first study to examine the perspectives of ECRs, who, along with many others, have an important role in supporting the on-going development of POR so that it becomes more widely adopted. Background Literature on patient-oriented research (POR) is growing rapidly. This field is increasingly encouraged by funders and structured by new research networks. POR involves moving away from considering patients as ‘subjects’, towards perceiving them as experts with experience-based knowledge. However, little is known about how early-career researchers (ECRs) perceive POR and their roles in developing it. This study examined how ECRs perceive POR, patients’ roles, the future of POR, and their own role in developing this approach. Methods A three-round Delphi study was conducted with Quebec’s Strategy for People and Patient-Oriented Research and Trials (SUPPORT) Unit awardees, composed of graduate students and clinicians, all ECRs. Of the 25 invited, 18 agreed to participate (72%), with a three-round retention rate of 89% (n = 16 on 18). Panelists answered open-ended questions, selected the most salient statements, and rated their (dis)agreement with proposals using a 7-point scale. Results Five main themes emerged: 1) ECRs’ knowledge of and experience with POR; 2) the POR definition; 3) patients’ roles and contributions; 4) the future of POR; and 5) ECRs’ roles in POR development. This study revealed that the ECRs were not so familiar with POR, even given their opportunities for networking within a scholarship program. Panelists agreed on the main components of a POR definition: valuing, mobilizing, and legitimizing the experiential knowledge of patients living with a health condition; conducting research that focuses on patients’ concerns, participation, and outcomes; and integrating active partnership among a variety of actors. Panelists considered patients to be integral members of the research team (M = 5.31 ± 1.66), but were less convinced they should be considered co-researchers (M = 4.50 ± 1.75). Panelists saw themselves as playing many roles in developing POR, such as becoming well-informed about it and acting as knowledge brokers, motivators, doers, delegators, and activists. Conclusion The ECRs’ perspectives are informative on how the next generation of researchers envision POR, its future and how they might contribute to developing this approach. There is a clear need for a coherent and concerted strategy for POR capacity development, in which ECRs’ perspectives and their specific needs are taken into account.

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)0,324
score de la tête « metaresearch » (Gemma)0,265
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesMétarecherche
DomaineSignal candidat: Incitatifs · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,676
Score d'incertitude au seuil0,833

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,3240,265
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0040,003
Études des sciences et des technologies0,0180,025
Communication savante0,0260,015
Science ouverte0,0040,019
Intégrité de la recherche0,0110,023
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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 Opus0,670
Tête enseignante GPT0,553
Écart entre enseignants0,117 · 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
DomaineIncitatifs
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

Citations25
Publié2018
Routes d'admission2
Résumé présentoui

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