A University of Otago study examining the ability of measures to predict death-by-suicide highlights multiple problems with current mental health treatment models.
The study: Low-risk and high-risk groups matter in suicide risk, recently published in the journal Psychological Medicine, was compiled by lead author Dr. Chris Gale, assisted by co-authors Professor Paul Glue and Associate Professor Yoram Barack of Otago’s Department of Psychological Medicine at the Dunedin School of Medicine.
“There is an expectation that psychiatric doctors or nurses can predict these tragic suicide events – but the base rate of suicide is about 10 to 15 people per 100 000, and even with perfect tests (which we don’t have) we cannot predict such an event,” Dr. Gale says.
The authors say the findings should prompt a re-think of the way treatment is administered, especially after New Zealand’s recent Mental Health Inquiry revealed “a culture of risk aversion and defensive practice from clinicians working under the Mental Health Act, particularly psychiatrists and mental health nurses whose decisions have been subject to criticism from DHB reviews, coroners’ inquests and Health and Disability Commissioner investigations.” (From section 11.2 of the Government Inquiry into Mental Health and Addiction).
The Otago study found there were two populations with regard to suicide risk; high-risk patients, who had a death rate by suicide during follow-up of up to 10 percent. And lower-risk patients, from outpatient clinics where the suicide rate during follow-up was less than 0.1 percent.
“We demonstrated that the pooled predictive ability of the high risk group was quite good. However, for the second group of a general clinical population it was remarkably bad: either measured as a post predictive value or sensitivity and specificity. This implies that we should not generalise from high risk patients to the general population,” Dr. Gale says.
Dr. Gale hopes the findings will lead to a re-think of current focus and treatment based on suicide-risk prediction.
“We would like to see universal community suicide interventions. We can’t predict who is high-risk, in fact the math would indicate there will be more deaths overall in the low risk group than in the high risk group.
“The ‘zero suicide’ policy is an impossibility and we should focus our efforts on public health measures to reduce deaths by suicide such as better alcohol abuse control and limiting size of over-the-counter medication packages.
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