Evaluating population-level interventions and exposures for suicide prevention

HIGHLIGHTS

• What: The authors focus on Poisson regression because it naturally models the counts of events in time, and it can model zero counts. A variation on this approach is to compare a specific period of time in a year (e_g, April-June 2024) to the same periods in one or more preceding years, thereby controlling for seasonal fluctuations in suicide which have been observed in some studies (Galvão et_al, 2018; Yu et_al, 2020). For simplicity, the authors focus on describing the findings in relation to the initial change in regulation.
• Who: Matthew J. Spittal . . .
  

   

  

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