Preliminary Evaluation of a Web-Based International Journal Club for Ketamine in Psychiatric Disorders: Cross-Sectional Survey Study
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.021 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".