Mental Illness and Mental Health Care as Experienced by Persons who Die by Suicide; a Qualitative Analysis of Suicide Notes
Bibliographic record
Abstract
While mental illness is a risk factor for suicidal behaviour and many suicide victims receive mental health care prior to death, there is a comparative lack of research that explores their narratives of care. Suicide notes offer unique insight into these subjective experiences. Our study explores the following questions: “How is mental health care experienced by those who die by suicide?” and “What role does this experience play in an individual's journey to suicide?” Our sample is a set of 21 purposefully selected notes that explicitly make mention of mental illness and/or mental health care, from a larger sample of 255 notes obtained through the Toronto Coroner's Office. We utilized a constructivist grounded theory framework to engage in line-by-line open coding, axial coding, memo-ing and theorizing of the data. Preliminary themes include (1) perception of recurrent utilization of mental health care as personal failure, (2) recurrent utilization of mental health care as a manifestation of accumulating hopelessness, (3) the construction of suicide as being beyond the scope of mental health care, (4) tensions between the conceptualization of mental illness as an inherent part of the self and mental illness as a disease to be fought or overcome, and (5) suicide as an exertion of self-autonomy, distinct from the influence of mental illness. An exploration of the complexity of an individual's relationship with mental illness and mental health care can foster better identification, understanding and support for those at risk for suicide. Disclosure of interest The authors have not supplied their declaration of competing interest.
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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 | 0.010 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.009 | 0.011 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| 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".