Suicidal ideation in callers to a crisis hotline in Mumbai,
Bibliographic record
Abstract
Suicidal ideation in callers to a crisis hotline in Mumbai, India Amresh K. Shrivastava1,2, Megan Johnston3, Larry Stitt4, Meghana Thakar5, Sunita Iyer6, Nilesh Shah7 and David Lester8* 1Silver Mind Hospital and Mental Health Foundation of India, (PRERANA Charitable Trust) Mumbai. 2Department of Psychiatry, University of Western Ontario, London, Canada. 3Department of Psychology, University of Toronto, 100 St. George St., Toronto, Ontario, Canada, M5S 2M2. 4Biostatistical Support Unit, Department of Epidemiology and Biostatistics, The University of Western Ontario, London, Ontario, Canada. 5Silver mind Hospital, Mumbai, Currently, Child and Adolescent Mental Health Practitioner, Lambeth CAMHS Early Intervention Team, South London and Maudsley NHS Trust. London, UK. 6PRERANA Counseling Centre, Mulund West, Mumbai. Mental Health Foundation of India, (PRERANA Charitable Trust) Mumbai. 7Department of Psychiatry, LTMG Hospital, University of Mumbai, Mumbai, India. 8The Richard Stockton College of New Jersey, Galloway, NJ, USA. Accepted 10 June, 2013 Suicide is a worldwide public health problem. The stigma associated with suicide often deters people from seeking help. Although, helplines are not rated as very effective therapeutically, they offer an opportunity for intervention for people in crisis. The present study examined the characteristics of people attending an outpatient service after establishing an initial contact during an emotional crisis with a helpline in Mumbai, India. A total of 15,169 clients called the service during the first five years of operation, of whom 9.2% reported suicidal ideation. About half (51.6%) of the callers who were given a referral to the affiliated outpatient clinic kept their appointments. While 38% of the outpatient clients did not have an Axis I or Axis II psychiatric disorder, 25% were diagnosed with schizophrenia and 17% with depression. In addition, 13% had a personality disorder and 7% substance abuse disorders. Female clients more often reported stress arising from financial problems, conflict with their in-laws, and premarital relationships than did male clients; male clients more often reported stress arising from employment, loss of reputation, and education than did female clients. The availability of a 24/7 mental health helpline, staffed by mental health professionals with back-up support from an outpatient psychiatric facility, can enhance community mental health services. Some of the problems encountered were mentioned and needed improvements were discussed.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".