Factors influencing the adoption of innovation in spine surgery: An international survey of AO spine network
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Notice bibliographique
Résumé
Knowledge translation from research to clinical practice can often be challenging, and practice modification patterns among surgeons may stem from a variety of sources, including personal experience, peer influence, ongoing education, and evolving research findings. This study aimed to investigate the adoption patterns amongst surgeons for newer innovations and to analyse the factors affecting the implementation of the same in clinical practice. We used the adoption of osteobiologics as a case example. An international expert survey was conducted among AO Spine users and members. The survey, comprising 30 items, explored surgeons' demographics, risk aversion, and factors influencing practice change. We categorized the innovation-adoptive nature of the surgeons and scored their risk-adoptive behaviour. A total of 458 responses were received from surgeons across 81 countries including 433 male (95%), orthopaedic surgeons (n = 263; 57%) from university-affiliated hospitals (n = 185; 40%). Most were in the early majority phase of the innovation-adoption cycle (n = 174; 38%) with a majority in the ‘high-moderate’ risk-adoption category (n = 396; 86%). This risk adoption behaviour had a significant correlation with their appetite for innovation (r = 0.182,p=<0.001). About 67.9% of respondents preferred scientific literature and conference presentations showcasing solid clinical evidence to be the most influential factor in driving change in their clinical practice. Material logistics (55%) is considered an important barrier to practice modification followed by familiarity (50%) and financial reimbursements (25%). A complex interplay exists between risk-adoptive behaviour amongst surgeons and the factors influencing a change in their clinical practice. Although most surgeons were in the early adoptive phase in accepting the innovations into their clinical practice, they were also equally noted to be risk tolerant. Hence, a successful adoption of practice-changing innovation hinges on addressing not only logistical and financial challenges but also on providing robust scientific evidence to drive the necessary change in clinical practice. • Most spine surgeons are in the early majority phase of innovation-adoption with moderate risk-adoption behaviour. • Risk adoption behaviour significantly correlates with their appetite for innovation. • Most surgeons find scientific literature and conference presentations with solid clinical evidence most influential. • Material logistics is a key barrier to practice modification, followed by familiarity and financial reimbursements. • A complex interplay exists between risk-adoptive behavior among surgeons and factors influencing clinical practice change.
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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 | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 découle