Citation

Callahan ST, Fuchs DC, Shelton RC, Balmer LS, Dudley JA, Gideon PS, Deranieri MM, Stratton SM, Williams CL, Ray WA, Cooper WO. Pharmacoepidemiol. Drug Saf. 2013; 22(7): 769-775.

Affiliation

Division of Adolescent and Young Adult Health, Department of Pediatrics, Vanderbilt School of Medicine, Nashville, Tennessee, USA.

Copyright

(Copyright © 2013, John Wiley and Sons)

DOI

10.1002/pds.3421

PMID

23412882

Abstract

PURPOSE: To assess the safety of psychotropic medication use in children and adolescents, it is critical to be able to identify suicidal behaviors from medical claims data and distinguish them from other injuries. The purpose of this study was to develop an algorithm using administrative claims data to identify medically treated suicidal behavior in a cohort of children and adolescents. METHODS: The cohort included 80 183 youth (6-18 years) enrolled in Tennessee's Medicaid program from 1995-2006 who were prescribed antidepressants. Potential episodes of suicidal behavior were identified using external cause-of-injury codes (E-codes) and ICD-9-CM codes corresponding to the potential mechanisms of or injuries resulting from suicidal behavior. For each identified episode, medical records were reviewed to determine if the injury was self-inflicted and if intent to die was explicitly stated or could be inferred. RESULTS: Medical records were reviewed for 2676 episodes of potential self-harm identified through claims data. Among 1162 episodes that were classified as suicidal behavior, 1117 (96%) had a claim for suicide and self-inflicted injury, poisoning by drugs, or both. The positive predictive value of code groups to predict suicidal behavior ranged from 0-88% and improved when there was a concomitant hospitalization but with the limitation of excluding some episodes of confirmed suicidal behavior. CONCLUSIONS: Nearly all episodes of confirmed suicidal behavior in this cohort of youth included an ICD-9-CM code for suicide or poisoning by drugs. An algorithm combining these ICD-9-CM codes and hospital stay greatly improved the positive predictive value for identifying medically treated suicidal behavior. Copyright © 2013 John Wiley & Sons, Ltd.

Language: en