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Systematic item selection process applied to developing item pools for assessing multiple mental health problems.

Philip J Batterham1, Jacqueline L Brewer1, Angeline Tjhin1

  • 1National Institute for Mental Health Research, Research School of Population Health, The Australian National University, 63 Eggleston Road, Acton, ACT 2601, Australia.

Journal of Clinical Epidemiology
|May 9, 2015
PubMed
Summary
This summary is machine-generated.

Researchers developed a systematic method to select screening items for eight mental health conditions, including panic disorder and ADHD. This process aims to improve rapid assessment and better address comorbidity in mental healthcare.

Keywords:
Anxiety disordersAssessmentComorbidityDepressionMental healthPsychosisScreeningSubstance use disordersSuicide

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Area of Science:

  • Psychiatry
  • Psychometrics
  • Mental Health Research

Background:

  • High comorbidity rates among mental disorders necessitate improved screening tools.
  • Existing Patient Reported Outcomes Measurement Information System (PROMIS) item banks provide a foundation for developing new measures.

Purpose of the Study:

  • To select items for assessing eight mental health conditions: panic disorder, social anxiety disorder, obsessive-compulsive disorder, posttraumatic stress disorder, adult attention-deficit hyperactivity disorder, substance use disorder, suicidal thoughts and behaviors, and psychosis.
  • To build upon PROMIS item banks for enhanced mental disorder screening.

Main Methods:

  • A four-stage process including literature searches, item refinement, consumer and expert feedback, and item pool reduction.
  • Systematic review and rating of 6,900 collected items across eight mental health conditions.
  • Algorithm-based reduction of item pools for final calibration.

Main Results:

  • 2,002 items were standardized and rated by consumers and experts, showing moderate correlation between their ratings.
  • Final item pools were generated, ranging from 45 to 75 items per condition.
  • Successful application of a systematic process for item selection.

Conclusions:

  • The study successfully developed item pools for assessing a range of mental disorders using a systematic approach.
  • This item selection methodology can be extended to other mental and physical health conditions.
  • The calibrated item pools will facilitate the development of flexible measures for assessing mental health risks and comorbidity.