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Measuring Specific Mental Illness Diagnoses with Functional Impairment Workshop Summary (2016) / Chapter Skim
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6 Key Themes and Possible Next Steps
Pages 77-82

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From page 77...
... When there is legislation with funding attached, congressional intent takes priority in terms of defining the parameters for how to carry out a data collection. If, as part of a congressional hearing, the question of how many adults are in the United States with serious mental illness is raised, there has to be an answer to that question, and there have to be data that can back up that answer.
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From page 78...
... Returning to the possible goal of being able to produce an estimate of prevalence of severe mental disorders in the United States, Regier suggested that a computerized adaptive testing (CAT) -type approach that combined several measures might produce a better assessment of prevalence rates than any single measure.
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From page 79...
... added that although electronic health records may not work as a sampling frame or as primary data collection, they may work well as sources of secondary data. For example, it may be possible to collect the information that is needed about serious mental illness in a survey, and then, with permission, link to electronic health records to see if there is a related diagnosis in the medical record.
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From page 80...
... One may be able to do so in retrospective analyses of the Global Assessment of Functioning, World Health Organization Disability Assessment Scale, or data on days of disability, but it does not appear to be feasible to incorporate a more direct measurement approach into the data collection process. She said that this conclusion was useful to learn.
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From page 81...
... Theo Vos (University of Washington) suggested that larger changes would probably be seen over time in substance use disorders than mental health, so more frequent survey administration would be needed on substance use.
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Key Terms

  • health records
  • electronic health
  • serious mental
  • adaptive testing
  • specific mental

  • severe mental
  • mental disorders
  • computerized adaptive
  • coverage error
  • chronically homeless

  • alternate data
  • illness disorders
  • substitute data
  • data collections
  • similar data

  • collecting data
  • using traditional
  • health statistics
  • primary data
  • data offering

  • tronic health
  • illness manifests
  • secondary data
  • using adaptive
  • driving developments

  • global assessment
  • retrospective analyses
  • medical records
  • distant future
  • producing population


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