Recommended Citation
Ahmedani BK, Cannella CE, Yeh HH, Westphal J, Simon GE, Beck A, Rossom RC, Lynch FL, Lu CY, Owen-Smith AA, Sala-Hamrick KJ, Frank C, Akinyemi E, Beebani G, Busuito C, Boggs JM, Daida YG, Waring S, Gui H, and Levin AM. Detecting and distinguishing indicators of risk for suicide using clinical records. Transl Psychiatry 2022; 12(1):280.
Document Type
Article
Publication Date
7-13-2022
Publication Title
Transl Psychiatry
Abstract
Health systems are essential for suicide risk detection. Most efforts target people with mental health (MH) diagnoses, but this only represents half of the people who die by suicide. This study seeks to discover and validate health indicators of suicide death among those with, and without, MH diagnoses. This case-control study used statistical modeling with health record data on diagnoses, procedures, and encounters. The study included 3,195 individuals who died by suicide from 2000 to 2015 and 249,092 randomly selected matched controls, who were age 18+ and affiliated with nine Mental Health Research Network affiliated health systems. Of the 202 indicators studied, 170 (84%) were associated with suicide in the discovery cohort, with 148 (86%) of those in the validation cohort. Malignant cancer diagnoses were risk factors for suicide in those without MH diagnoses, and multiple individual psychiatric-related indicators were unique to the MH subgroup. Protective effects across MH-stratified models included diagnoses of benign neoplasms, respiratory infections, and utilization of reproductive services. MH-stratified latent class models validated five subgroups with distinct patterns of indicators in both those with and without MH. The highest risk groups were characterized via high utilization with multiple healthcare concerns in both groups. The lowest risk groups were characterized as predominantly young, female, and high utilizers of preventive services. Healthcare data include many indicators of suicide risk for those with and without MH diagnoses, which may be used to support the identification and understanding of risk as well as targeting of prevention in health systems.
Medical Subject Headings
Adolescent; Case-Control Studies; Female; Humans; Mental Disorders; Risk Factors; Suicide; Surveys and Questionnaires
PubMed ID
35831289
Volume
12
Issue
1
First Page
280
Last Page
280