Rethinking Suicide Prevention Research - Moving Beyond Traditional Statistical Significance.

Abstract

Suicide is a major public health concern globally, and despite decades of research, there has been a disappointing lack of progress in identifying effective prevention strategies and interventions. We argue over-reliance on traditional statistical significance cutoffs and underreporting of marginal findings may be limiting the clinical benefits of research in the field of suicide prevention and in turn impeding practical progress. The consistent reliance on statistically significant results at p < .05 may limit the visibility of potentially promising results to clinicians making treatment decisions. Expanding awareness of promising interventions - which can then be further scrutinized and subjected to further research - could have an important and needed impact on the field. The American Statistical Association has called upon researchers to view the p-value as continuous, with the call being adopted by leading journals. However, most suicide journals do not have explicit policies around how to use p-values for evaluating the strength of the evidence, and the use of continuous p-values has clearly not been routinely adopted by suicide researchers. We want to call upon suicide researchers to be more open to considering and publishing marginally significant findings that suggest promising trends for suicide prevention strategies and interventions.