Learn, Engage, Act, Dedicate (LEAD): Development and feasibility testing of a task-shifted intervention to improve alcohol use, depression and family engagement for fathers
Bibliographic record
Abstract
Abstract Men’s depression, alcohol use, and family problems commonly co-occur to create of cluster of mental health problems. Yet, few treatments exist to address these problems, especially in low and middle-income countries (LMICs). This paper describes the development and initial feasibility and acceptability of a novel task-shifted intervention to address this cluster of men’s mental health problems with a focus on engaging and retaining men in treatment. The intervention, Learn, Engage, Act, Dedicate (LEAD), is based in behavioral activation blended with motivational interviewing and was pilot tested in Kenya. To develop LEAD, we engaged in a community-engaged multi-step, collaborative process with local Kenyan stakeholders. LEAD was piloted with nine fathers reporting problem drinking. To assess initial feasibility and acceptability, recruitment and participation were tracked and descriptive statistics were generated given engagement of men was key for proof of concept. Semi-structured interviews were conducted with participants and analyzed using thematic content analysis. The development process resulted in a weekly 5-session intervention rooted in behavioral activation, motivational interviewing, and masculinity discussion strategies. These approaches were combined and adapted to fit contextually salient constructs, such as the importance of the man as provider, and streamlined for lay providers. Feasibility and acceptability results were promising with high attendance, acceptability of delivery and intervention content, and perceived intervention helpfulness. Results describe an acceptable task-shifted treatment that may engage men in care and addresses a cluster of common mental health problems among men. Findings set the stage for a larger trial. Trial registration: ISRCTN, ISRCTN130380278. Registered 7 October 2019 - Retrospectively registered, http://www.isrctn.com/ISRCTN13038027
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 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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".