Positive predictive value of a register-based algorithm using the Danish National Registries to identify suicidal events.
Christiane GasseAndreas Aalkjaer DanielsenMarianne Giørtz PedersenCarsten Bøcker PedersenOle MorsJakob ChristensenPublished in: Pharmacoepidemiology and drug safety (2018)
The DK-algorithm can reliably identify self-harm with suicidal intention in 52% of the identified cases of suicide attempts/self-harm. The PPVs could be used for quantitative bias analysis and implemented as weights in future studies to estimate the proportion of suicidal events among cases identified via the DK-algorithm.