Answers are grounded in this paper and cite their sources.
To ascertain how patient age influences suicide risk assessment, clinicians (N = 262) read an ambiguous vignette about Bill (aged either 39 or 79 years old) and subsequently rated Bill's suicide risk and hospitalization needs. Suicide-risk ratings varied greatly and young clinicians rated Bill's suicide risk and hospitalization needs higher when he was elderly (79 years old); whereas, older clinicians rated Bill's suicide risk and need for hospitalization higher when he was younger (39 years old). The interaction between patient and clinician age may reflect a "similarity" bias, such that clinicians perceive those who are different (i.e., younger or older) to be at elevated risk.
No takes yet. Share an insight, caveat, or question.
Berman et al. (2015) studied this question.
Synapse has enriched 5 related papers. Consider them for comparative context: