Estimating prevalence of serious emotional disturbance in schools using a brief screening scale.

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Title: Estimating prevalence of serious emotional disturbance in schools using a brief screening scale.
Authors: Fan Li, Green, Jennifer Greif, Kessler, Ronald C., Zaslavsky, Alan M.
Source: International Journal of Methods in Psychiatric Research. 2010 Supplement 1, Vol. 19, p88-98. 11p. 4 Charts, 1 Graph.
Subjects: Psychiatric diagnosis, Adolescent health, Psychiatry, Regression analysis, Behavior Disorders Identification Scale
Abstract: Information about the prevalence of serious mental illness (SMI) among adults or serious emotional disturbance (SED) among youth in small domains such as counties, states, or schools is valuable for mental health policy planning purposes, but prohibitively expensive to collect with semi-structured surveys. Commonly used synthetic estimation methods yield imprecise estimates. An improved method is described here that combines information about socio-demographic covariates with screening scale scores obtained from a sample of individuals, using a prediction equation derived from a Bayesian multilevel regression model with bivariate outcomes fitted to a larger population survey. This method is illustrated using K6 screening scale scores to predict school-level prevalence of SED in the sample of 282 schools that participated in the National Comorbidity Survey Replication Adolescent Supplement. Respondents completed a diagnostic interview that was used to define DSM-IV SED. SED prevalence varied significantly across schools and was strongly correlated with aggregate K6 scores (ρ = 0.70). Calculations suggest that near-maximum precision of school-level SED prevalence estimates could be attained with K6 samples of 200 students per school. This modeling approach holds great promise for generating accurate estimates of SMI/SED in small-area planning units based on K6 scores collected in ongoing health tracking surveys. Copyright © 2010 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Methods in Psychiatric Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Estimating prevalence of serious emotional disturbance in schools using a brief screening scale.
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  Data: <searchLink fieldCode="AR" term="%22Fan+Li%22">Fan Li</searchLink><br /><searchLink fieldCode="AR" term="%22Green%2C+Jennifer+Greif%22">Green, Jennifer Greif</searchLink><br /><searchLink fieldCode="AR" term="%22Kessler%2C+Ronald+C%2E%22">Kessler, Ronald C.</searchLink><br /><searchLink fieldCode="AR" term="%22Zaslavsky%2C+Alan+M%2E%22">Zaslavsky, Alan M.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Methods+in+Psychiatric+Research%22">International Journal of Methods in Psychiatric Research</searchLink>. 2010 Supplement 1, Vol. 19, p88-98. 11p. 4 Charts, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Psychiatric+diagnosis%22">Psychiatric diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Adolescent+health%22">Adolescent health</searchLink><br /><searchLink fieldCode="DE" term="%22Psychiatry%22">Psychiatry</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Behavior+Disorders+Identification+Scale%22">Behavior Disorders Identification Scale</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Information about the prevalence of serious mental illness (SMI) among adults or serious emotional disturbance (SED) among youth in small domains such as counties, states, or schools is valuable for mental health policy planning purposes, but prohibitively expensive to collect with semi-structured surveys. Commonly used synthetic estimation methods yield imprecise estimates. An improved method is described here that combines information about socio-demographic covariates with screening scale scores obtained from a sample of individuals, using a prediction equation derived from a Bayesian multilevel regression model with bivariate outcomes fitted to a larger population survey. This method is illustrated using K6 screening scale scores to predict school-level prevalence of SED in the sample of 282 schools that participated in the National Comorbidity Survey Replication Adolescent Supplement. Respondents completed a diagnostic interview that was used to define DSM-IV SED. SED prevalence varied significantly across schools and was strongly correlated with aggregate K6 scores (ρ = 0.70). Calculations suggest that near-maximum precision of school-level SED prevalence estimates could be attained with K6 samples of 200 students per school. This modeling approach holds great promise for generating accurate estimates of SMI/SED in small-area planning units based on K6 scores collected in ongoing health tracking surveys. Copyright © 2010 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
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  Label:
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  Data: <i>Copyright of International Journal of Methods in Psychiatric Research is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/mpr.315
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        Text: English
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      – SubjectFull: Psychiatry
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      – SubjectFull: Regression analysis
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      – SubjectFull: Behavior Disorders Identification Scale
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      – TitleFull: Estimating prevalence of serious emotional disturbance in schools using a brief screening scale.
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              Text: 2010 Supplement 1
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              Y: 2010
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