In the era of personalized medicine population-based treatment efficacy measures are not sufficient. Treatment decisions should be personalized by considering the individual's specific characteristics, taking multiple outcomes into account, and not overlooking adverse events. We created a personalized tool to support clinicians when deciding on intensive hypertension treatment. This tool considers predicted benefits and harms, weighted by the perceived severity of the events they represent, thus allowing for an efficient, personalized and evidence-based decision.
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