Preliminary Evaluation of a Web-Based International Journal Club for Ketamine in Psychiatric Disorders: Cross-Sectional Survey Study
Notice bibliographique
Résumé
BACKGROUND: The use of novel rapid-acting antidepressants for psychiatric disorders is expanding. The web-based Ketamine and Related Compounds International Journal Club (KIJC) was created during the COVID-19 pandemic by UK academic psychiatrists and trainees for interested global professionals to discuss papers related to the topic of ketamine for the treatment of psychiatric disorders. The KIJC aimed to facilitate bidirectional discussions, sharing of ideas, and networking among participants. OBJECTIVE: The aim of this study is a preliminary evaluation of the journal club's format for satisfaction and impact after the first year of running. METHODS: A website, email, and word of mouth were used for recruitment. The journal club was held twice per month using videoconferencing software in 3 parts: a 20-minute presentation, a 15-minute chaired question and answer session, and a 25-minute informal discussion with participants' cameras on. The first 2 parts were recorded and uploaded to the website alongside links to the corresponding papers. In total, 24 speakers presented from 8 countries, typically within 2 (SD 2) months of publication. The average attendance was 51 (SD 20) audience members, and there were 63 (SD 50) views of each subsequent recording. Two anonymous web-based cross-sectional surveys were conducted from November 2021 to February 2022, one for speakers and another for audience members, separately. Various survey statements, 14 for speakers and 12 for the audience, were categorized according to satisfaction and impact, alongside obtaining participants' primary career roles and requesting optional written feedback. Responses were compared between both groups and analyzed, including an inductive thematic analysis and a summary of lessons learned. RESULTS: A total of 30 survey responses were obtained, demonstrating overall agreement with the statements. In total, 12 (50%) out of 24 speakers and 18 (35%) out of an average of 51 (SD 20) audience members regarded the journal club's format as satisfying and impactful. The majority (26/30, 87%) of respondents identified as clinicians (9/30, 30%), researchers (9/30, 30%), and clinician-researchers (8/30, 27%). Additionally, 11 (37%) of the 30 respondents also provided optional written feedback: 3 (10%) speakers and 8 (27%) audience members. From the written feedback, 5 main themes were derived: engagement with the journal club, desire for active participation, improving the platform, positive learning experiences, and suggestions for future sessions. CONCLUSIONS: The journal club successfully reached its intended audience and developed into a web-based community. The majority of the participants were satisfied with the format and found it impactful. Overall, the journal club appears to be a valuable tool for knowledge sharing and community building in the field of ketamine use for the treatment of psychiatric disorders. A larger sample size and additional testing methods are required to support the generalizability of the journal club's format.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,021 | 0,033 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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.
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 source (Gemma direct ou Codex distillé), 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 ».