Cited by 33Schizophrenia research and treatmentPsychopathy, Forensic Psychiatry, Sexual OffendingPsychology Research and Bibliometrics

The critical need for help-seeking controls in clinical high-risk research

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Millman, Zachary B., Gold, James M., Mittal, Vijay A., Schiffman, Jason·2019·Clinical Psychological Science

Abstract

Despite rapidly growing knowledge of the clinical high-risk (CHR) state for psychosis, the vast majority of case-control studies have relied on healthy volunteers as a reference point for drawing inferences about the CHR construct. Researchers have long recognized that results generated from this design are limited by significant interpretive concerns, yet little attention has been given to how these concerns affect the growing field of CHR research. We argue that overreliance on healthy control participants in CHR research threatens the validity of inferences concerning group differences, hinders advances in understanding the development of psychosis, and limits clinical progress. We suggest that the combined use of healthy and help-seeking (i.e., psychiatric) controls is a necessary step for the next generation of CHR research. We then evaluate methods for help-seeking control studies, identify the available CHR studies that have used such designs, discuss select findings in this literature, and offer recommendations for research.

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  • Risk factors found in non-clinical or community samples may generalize poorly to clinical or high-risk individuals seen by mental health providers.

    “Furthermore, risk factors identified in non-clinical or community samples may be of limited generalizability to the clinical or high-risk individuals more often encountered by mental health care providers (for examples, see King, Berona, Czyz, Horwitz, & Gipson, 2015; Yen et al., 2013; for a related discussion, see Millman, Gold, Mittal, & Schiffman, 2019).”

    From Sleep and suicide: A systematic review and meta-analysis of longitudinal studies (2020) · cites this paper as Millman, Gold, Mittal, & Schiffman, 2019

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Research works printed but not linked: 2

  1. Fusar - Poli P, Cappucciati M, Rutigliano G, Schultze - Lutter F, Bonoldi I, Borgwardt S, … Woods SW (2015). At risk or not at risk? A meta - analysis of the prognostic accuracy of psychometric interviews for psychosis prediction. World Psychiatry, 14(3), 322– 332. 26407788 PMC4592655
  2. Millman ZB, & Schiffman J (2018). False positives and clinical heterogeneity among youth at clinical high-risk for psychosis: Clinical and ethical implications for assessment and treatment. Journal of Ethics and Mental Health, 10.

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Authors
Millman, Z. B., Gold, J. M., Mittal, V. A., & Schiffman, J.
Affiliations
  • University of Maryland, Baltimore County (US)
  • University of Maryland, Baltimore (US)
  • Northwestern University (US)
Corresponding author
Millman, Zachary B.
Venue
Clinical Psychological Science
Published
2019-09-23
Volume
7
Issue
6
Pages
1171-1189
ISSN
  • 2167-7026 (ISSN-L)
  • 2167-7034
OpenAlex
W2976385331
Cited by
33
References
169
Citations by year
2026: 2 · 2025: 6 · 2024: 3 · 2023: 3 · 2022: 4 · 2021: 10 · 2020: 4 · 2019: 1
FWCI
3.78
Type
journal article
Language
en
Open access
Locations
  • Clinical Psychological Science (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute of Mental Health (R01-MH112545, R01-MH112612, R21-MH110374, R21-MH115321, R34-MH110506)
  • Maryland Department of Health and Mental Hygiene (14-13717G/M00B440214)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
  • Social Sciences › Psychology › Clinical Psychology › Psychopathy, Forensic Psychiatry, Sexual Offending
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
Keywords
psychosis, healthy controls, case-control study, research validity

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