Prediction of suicidal ideation risk in a prospective cohort study of medical interns

• Published in: PloS one Vol. 16; no. 12; p. e0260620
• Main Authors: Malone, Tyler L, Zhao, Zhou, Liu, Tzu-Ying, Song, Peter X K, Sen, Srijan, Scott, Laura J
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 02.12.2021; Public Library of Science (PLoS)
• Subjects: Biology and Life Sciences; Cohort analysis; Datasets; Errors; Fatalities; Health aspects; Health risks; Hospital systems; Interns (Medicine); Internships; Medicine and Health Sciences; Mental depression; Neurosciences; Neurosis; People and Places; Physical Sciences; Physicians; Population studies; Psychological aspects; Psychological factors; Public health; Research and Analysis Methods; Risk analysis; Risk factors; Social Sciences; Suicidal behavior; Suicidal ideation; Suicide; Suicides & suicide attempts; Training; United States; Ann Arbor Michigan; United States > US; Michigan
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0260620

The purpose of this study was to identify individual and residency program factors associated with increased suicide risk, as measured by suicidal ideation. We utilized a prospective, longitudinal cohort study design to assess the prevalence and predictors of suicidal ideation in 6,691 (2012-2014 cohorts, training data set) and 4,904 (2015 cohort, test data set) first-year training physicians (interns) at hospital systems across the United States. We assessed suicidal ideation two months before internship and then quarterly through intern year. The prevalence of reported suicidal ideation in the study population increased from 3.0% at baseline to a mean of 6.9% during internship. 16.4% of interns reported suicidal ideation at least once during their internship. In the training dataset, a series of baseline demographic (male gender) and psychological factors (high neuroticism, depressive symptoms and suicidal ideation) were associated with increased risk of suicidal ideation during internship. Further, prior quarter psychiatric symptoms (depressive symptoms and suicidal ideation) and concurrent work-related factors (increase in self-reported work hours and medical errors) were associated with increased risk of suicidal ideation. A model derived from the training dataset had a predicted area under the Receiver Operating Characteristic curve (AUC) of 0.83 in the test dataset. The suicidal ideation risk predictors analyzed in this study can help programs and interns identify those at risk for suicidal ideation before the onset of training. Further, increases in self-reported work hours and environments associated with increased medical errors are potentially modifiable factors for residency programs to target to reduce suicide risk.