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Activity Number:
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258
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 4, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #305244 |
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Title:
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A Model-Based Method for Estimating Serious Mental Illness Using Household Interview Data Combined with Clinical Interviews
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Author(s):
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Lisa Colpe and Jeremy Aldworth*+
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Companies:
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Substance Abuse & Mental Health Services Administration and RTI International
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Address:
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3040 Cornwallis Road, Research Triangle Park, NC, 27709,
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Keywords:
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survey methods ; epidemiology ; Serious Mental Illness ; prevalence estimation
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Abstract:
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To address the need for National and State estimates of Serious Mental Illness (SMI), a study was designed to use adult mental health measures in the National Survey on Drug Use and Health to predict diagnostic status on a Structured Clinical Interview for DSM IV Disorders (SCID) interviews conducted by mental health clinicians. The study was carried out January-December 2008. NSDUH interviews were administered via ACASI in the homes of a nationally representative sample of respondents. A probability sample of over 1500 was recruited and completed clinical interviews over the phone. This presentation will describe the model-based methods developed to calibrate the NSDUH mental health data to SCID interview data and to use the models to generate National and State level SMI estimates from the total NSDUH sample.
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