“My home is (now) at peace”: Evaluating the relevance, acceptability and potential scalability of a guided self-help intervention for male refugees in Uganda
Bibliographic record
Abstract
In humanitarian crises, male refugees face significant mental health challenges, including high rates of depression and alcohol misuse. However, access to adequate mental health services is limited. In this study, we evaluate a combined intervention that addresses both mental health and alcohol misuse among male refugees in Uganda, focusing on its relevance, acceptability, and potential for scalability. We conducted a qualitative study, using process evaluation data, to evaluate a combined guided self-help intervention for mental health and alcohol use among male refugees in Uganda's Rhino and Imvepi camp refugee settlements. We used thematic network analysis to identify themes related to relevance, acceptability, and potential scalability. 28 in-depth process evaluation interviews were conducted in total. Participants included male South Sudanese refugees who had received enhance usual care, or SH+ only or SH+ and ASSIST-BI combined. Family members of the participants and intervention facilitators were also interviewed. Results highlighted the intervention's relevance, emphasising the need for participants to be providers and productive citizens. Acceptability was underscored by a sense of community and social acceptance, particularly evident in SH+ group sessions. Facilitators noted that the intervention format was key to scalability, despite barriers such as competing priorities and resource limitations. These results highlight the importance of addressing mental health and alcohol misuse simultaneously, demonstrating the combined intervention's relevance, acceptability and scalability. We emphasise the need for a comprehensive approach that integrates additional support mechanisms, such as livelihoods, to enhance overall impact while preserving the interventions core components. This broader understanding is important for developing effective and sustainable solutions in similar humanitarian contexts.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".