Exploring Lived Experiences of Adolescents Presenting with Self-Harm and Their Views about Suicide Prevention Strategies: A Qualitative Approach
Bibliographic record
Abstract
Suicide is a serious global public health problem and the third leading cause of death in those 15-35 years old. Self-harm is the major predictor of future suicide attempts and completed suicide yet remains poorly understood. There is limited evidence on effective interventions for adolescents who present with self-harm. To identify and develop acceptable preventive and therapeutic interventions it is essential to understand the factors that contribute to self-harm and suicide in young people, in the context of their emotions, interpersonal difficulties, available support and prevention strategies. This qualitative study aimed at exploring the lived experiences of adolescents presenting with self-harm and their views about potential prevention strategies. Semi-structured interviews with 16 adolescents (12-18 years) presenting with a self-harm episode in a public hospital in Pakistan. A topic guide was developed to facilitate the interviews. The following themes emerged using the framework analysis; predisposing factors (interpersonal conflicts, emotional crisis etc.), regret and realization that self-harm is not the only option, perceived impact of self-harm, and suggestions for suicide prevention strategies (sharing, distraction techniques, involvement of family). This study may help in refining a contextual and culturally based explanatory model of self-harm in adolescents and in informing development of culturally acceptable interventions.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".