Identifying challenges and enablers to engaging patients in preclinical laboratory research: an interview study
Notice bibliographique
Résumé
Patient engagement in research enriches study design, conduct, and dissemination by integrating lived experiences of patients into the research process. Although patient engagement is becoming more popular in clinical research settings, it remains comparatively rare in preclinical (i.e. laboratory based) research. To explore this gap, we conducted an interview study to understand how researchers and patients have implemented patient engagement in this area, focusing on the challenges and benefits of their approach. We conducted semi-structured interviews of patients (n = 15) and researchers (n = 14) with previous preclinical patient engagement experience. Interviews were transcribed and reviewed using an inductive, thematic content analysis, which allowed for bottom-up analysis of interview data. Our team identified, reviewed and refined emerging themes. Our team members include preclinical, clinical and patient engagement researchers and patient partners, which allowed for various perspectives to contribute to the final interpretation of the findings and drafting of the manuscript. We identified five themes. Theme 1: Researchers and patients highlighted the necessity to adopt a thoughtful and tailored approach for each preclinical engagement initiative. This includes taking time to cultivate personal relationships and co-developing engagement activities to meet patient and researcher preferences and needs. Theme 2: Clear communication was deemed critical, suggesting the need for a clear and shared vocabulary without technical jargon. Theme 3: Varied goals for engagement in preclinical research between researchers and patients were underscored, indicating the need to discuss aims and motivations early and often as well as to co-develop mutually beneficial strategies. Theme 4: Researchers and patients also discussed how their communities require a better understanding of the value of preclinical patient engagement. This could be fostered through education and illustrative case examples. Theme 5: Finally, a shift in research culture was deemed necessary and called for stronger institutional support, efficient channels to connect preclinical researchers and patients, as well as initiatives that recognize and champion preclinical patient engagement. Our study identified five common themes in preclinical patient engagement which can help the research community facilitate meaningful engagement of patients in preclinical laboratory research. Engaging patients as partners in clinical research, known as patient engagement, is a growing practice that has numerous benefits. However, uptake in preclinical laboratory research (e.g. cell and animal studies) has been limited. Nevertheless, incorporating patients as active collaborators at this discovery stage of biomedical research may be beneficial. To better understand how patient engagement fits into preclinical research, we conducted interviews with patient partners and preclinical researchers who have implemented this practice. Five key themes emerged. First, both groups emphasized the need for adopting a thoughtful and tailored approach since preclinical research is not typically patient facing. Second, shared vocabulary was important to facilitate communication. Third, setting clear expectations and outlining varied goals for engagement was considered critical. Fourth, understanding the value of preclinical research helped ground engagement efforts. Finally, interviewees felt a cultural shift is needed for this practice to be accepted more widely. These themes are important factors to consider when engaging patients in preclinical laboratory research; they may be used to inform and support future preclinical patient engagement efforts.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,063 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».