P02.110. Recruitment experiences from piloting the LEAP project: an online spirituality based depression intervention for young adults
Bibliographic record
Abstract
This trial aimed to recruit adolescents suffering from mild to moderate unipolar depression. A multi-faceted recruitment strategy was used. Poor enrolment during the first 13 months (Phase I) prompted a review of eligibility criteria. Revised eligibility criteria included an age expansion from previously 13-18 to 13-24 and allowance of general, non-depression specific, counselling. An observational study was conducted to assess the impact of investing trial resources into the various recruitment sources pre (Phase I = 13 month) and post (Phase II = 10 months) eligibility change. In total, 1667 staff hours (mail outs, emails, presentations and personal contacts) were invested to generate 196 referrals from five different referral sources (Health Care Professionals, High Schools, Post Secondary institutions and Public Advertising). In Phase I, 11 participants were enrolled (13% enrollment rate) compared to 27 participants in Phase II (25% enrollment rate). In Phase I, invested staff hours to generate a referral that would result in a successful enrollment (82 hours/participant) were three fold that required in Phase II (28 hours/participant). Health Care Professionals and Post Secondary Institutions generated the largest number of referrals and had the highest enrolment rates. Our findings suggest that depressed young people can be successfully recruited to a clinical trial. Eligibility changes accommodated the available client base better, resulting in more referrals and fewer failed eligibility assessments. Recruitment was boosted significantly through referrals from post secondary institutions and through building relationships with health care professionals.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".