2012 National Survey on Drug Use and Health estimating mental illness among adults in the United States: revisions to 2008 estimation procedures

BACKGROUND: The National Survey on Drug Use and Health (NSDUH) estimates serious mental illness (SMI) and any mental illness (AMI) among adults aged 18 or older. These estimates are based on a prediction model of SMI developed from a subsample of NSDUH respondents who answered the NSDUH short scales...

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Bibliographic Details
Main Author: Kott, Phillip
Corporate Authors: United States Substance Abuse and Mental Health Services Administration, Research Triangle Institute
Format: eBook
Language:English
Published: Rockville, Maryland Substance Abuse and Mental Health Services Administration September 2015, 2015
Series:CBHSQ methodology report
Subjects:
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Collection: National Center for Biotechnology Information - Collection details see MPG.ReNa
Description
Summary:BACKGROUND: The National Survey on Drug Use and Health (NSDUH) estimates serious mental illness (SMI) and any mental illness (AMI) among adults aged 18 or older. These estimates are based on a prediction model of SMI developed from a subsample of NSDUH respondents who answered the NSDUH short scales of psychological distress and functional impairment and who also participated in the Mental Health Surveillance Study (MHSS), which included a clinical diagnostic interview to assess the presence of mental disorders and functional impairment. The initial model was developed using the 2008 MHSS subsample of approximately 750 respondents. The MHSS data collection continued from 2009 to 2012, and this larger pool of data was used to reevaluate the model. This report discusses improvements to the methods used to produce SMI and AMI estimates. METHOD: Using 5,000 clinical interviews collected in the 2008 to 2012 MHSS, this analysis assessed the original 2008 statistical model and the weights applied to the clinical interview sample, while also examining additional predictors that would improve the model. Estimates of SMI using the initial 2008 method and estimates based on an improved method were compared with estimates from the clinical interview sample. RESULTS: This report demonstrates that the improved methods produce model-based estimates that are more accurate because they are more consistent with the direct estimates from the clinical interview. For example, estimates of SMI and AMI by age groups produced using the improved methods were closer to the estimates produced using the clinical data. CONCLUSION: Revising the weights and adding new predictors to the model produced more accurate estimations of SMI and AMI.
Physical Description:1 PDF file (various pagings)