Citation

Kim HM, Smith EG, Ganoczy D, Walters H, Stano CM, Ilgen MA, Bohnert AS, Valenstein M. J. Clin. Psychiatry 2012; 73(10): e1269-75.

Affiliation

Center for Statistical Consultation and Research, University of Michigan, 3555 Rackham, Ann Arbor, MI 48109-1070 myrakim@umich.edu.

Copyright

(Copyright © 2012, Physicians Postgraduate Press)

DOI

10.4088/JCP.12m07658

PMID

23140657

Abstract

OBJECTIVE: To identify factors recorded in electronic medical chart progress notes associated with suicide among patients who had received treatment for depression. METHOD: The retrospective study sample consisted of 324 randomly selected US Veterans Health Administration (VHA) patients treated for depression who died by suicide from April 1, 1999, to September 30, 2004, stratified by geographic region, gender, and year of depression cohort entry and 312 control patients with depression who were alive on the date of suicide death (index date) and were from the same stratum as the matched suicide patient. In addition to constructing variables from administrative data, variables were abstracted from electronic medical chart notes in the year prior to the index date in 5 categories: clinical symptoms and diagnoses, substance use, life stressors, behavioral/ideation measures (eg, suicide attempts), and treatments received. Logistic regression was used to assess the associations. RESULTS: Even after we adjusted for administratively available data, suicidal behaviors and substance-related variables were the strongest independent predictors of suicide. Prescription drug misuse had an odds ratio (OR) of 6.8 (95% CI, 2.5-18.5); history of suicide attempts, 6.6 (95% CI, 1.7-26.4); and alcohol abuse/dependence, 3.3 (95% CI, 1.9-5.7). Difficulty with access to health care was a predictor of suicide (OR = 2.9; 95% CI, 1.3-6.3). Receipt of VHA substance abuse treatment was protective (OR = 0.4; 95% CI, 0.1-0.9). CONCLUSIONS: Prescription drug and alcohol misuse assessments should be prioritized in suicide assessments among depressed patients. Additionally, behavioral measures noted in electronic chart records may be useful in health system monitoring and surveillance and can potentially be accessed using word search or natural language processing approaches.

Language: en