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Improving suicide risk assessment in a managed-care environment
G S Brown1, Edward R Jones, Ellen Betts
1Center for Clinical Informatics, LLC, Salt Lake City, UT 84117, USA, jebbrown@clinical-informatics.com
Abstract:
This article describes the quality improvement intervention of a managed behavioral healthcare company to improve the quality of suicide risk assessments by its panel of providers. At-risk cases are identified by the patient's self-reported high frequency of suicidal ideation on a standardized outcome measure. Clinicians also assess severity of suicidal ideation based on clinical interviews. The clinician's assessment is identified as probably erroneous if the patient report indicates a high frequency of suicidal ideation and the clinicians assessment of suicidal ideation is none. The article describes the methods used to encourage clinicians to utilize information from the patient self-report measure as part of the clinical assessment. Probable suicidal ideation assessment errors were subsequently reduced by 29% over a 1-year period of administration.
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