DSM-5 field trials in the United States and Canada, part I: study design, sampling strategy, implementation, and analytic approaches
Abstract
OBJECTIVE: This article discusses the design,sampling strategy, implementation,and data analytic processes of the DSM-5 Field Trials. METHOD: The DSM-5 Field Trials were conducted by using a test-retest reliability design with a stratified sampling approach across six adult and four pediatric sites in the United States and one adult site in Canada. A stratified random sampling approach was used to enhance precision in the estimation of the reliability coefficients. A web-based research electronic data capture system was used for simultaneous data collection from patients and clinicians across sites and for centralized data management.Weighted descriptive analyses, intraclass kappa and intraclass correlation coefficients for stratified samples, and receiver operating curves were computed. The DSM-5 Field Trials capitalized on advances since DSM-III and DSM-IV in statistical measures of reliability (i.e., intraclass kappa for stratified samples) and other recently developed measures to determine confidence intervals around kappa estimates. RESULTS: Diagnostic interviews using DSM-5 criteria were conducted by 279 clinicians of varied disciplines who received training comparable to what would be available to any clinician after publication of DSM-5.Overall, 2,246 patients with various diagnoses and levels of comorbidity were enrolled,of which over 86% were seen for two diagnostic interviews. A range of reliability coefficients were observed for the categorical diagnoses and dimensional measures. CONCLUSIONS: Multisite field trials and training comparable to what would be available to any clinician after publication of DSM-5 provided “real-world” testing of DSM-5 proposed diagnoses.
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- Authors
- Clarke, D. E., Narrow, W. E., Regier, D. A., Kuramoto, S. J., Kupfer, D. J., Kuhl, E. A., Greiner, L., & Kraemer, H. C.
- Affiliations
- Johns Hopkins University (US)
- Venue
- American Journal of Psychiatry
- Published
- 2013-01
- Volume
- 170
- Issue
- 1
- Pages
- 43-58
- ISSN
- 0002-953X (ISSN-L)
- 1535-7228
- OpenAlex
- W2103393020
- Cited by
- 201
- References
- 21
- Citations by year
- 2026: 11 · 2025: 17 · 2024: 14 · 2023: 12 · 2022: 11 · 2021: 13 · 2020: 16 · 2019: 6 · 2018: 14 · 2017: 16 · 2016: 13 · 2015: 18 · 2014: 19 · 2013: 21
- FWCI
- 26.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
- Social Sciences › Arts and Humanities › Philosophy › Mental Health and Psychiatry
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- DSM-5, field trials, diagnostic reliability, test-retest reliability, stratified sampling, intraclass correlation coefficient, diagnostic interview, clinician training, psychiatric diagnosis, multi-site study
- MeSH terms
- Adolescent, Adult, Canada, Child, Cross-Cultural Comparison, Humans, Psychometrics, Research Design, Sampling Studies, Statistics as Topic, United States, Multicenter Studies as Topic, Selection Bias, Randomized Controlled Trials as Topic, Diagnostic and Statistical Manual of Mental Disorders
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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