The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Clinical Utility as a Criterion for Revising Psychiatric Diagnoses
Abstract
OBJECTIVE: Changes in DSM-IV were guided by empirical data that mostly focused on improving diagnostic validity and reliability. Although many changes were made explicitly to improve clinical utility, no formal effort was made to empirically determine actual improvements in clinical utility. The authors propose that future revisions of DSM empirically demonstrate improvement in clinical utility to clarify whether the advantages of changing the diagnostic criteria outweigh potential negative consequences. METHOD: The authors provide a formal definition of clinical utility and then suggest that the merits of a proposed change to DSM be evaluated by considering 1) its impact on the use of the diagnostic system, 2) whether it enhances clinical decision making, and 3) whether it improves clinical outcome. RESULTS: Evaluating a change based on its impact on use considers both user acceptability and accuracy in application of the diagnostic criteria. User acceptability can be measured by surveying users' reactions, assessing user acceptability in a field trial setting, and measuring the effects on ease of use. Assessment of the correct application of diagnostic criteria entails comparing the clinician's diagnostic assessment to expert diagnostic assessment. Assessments of the impact on clinical decision making use methods developed for evaluating adherence to practice guidelines. Improvement in outcome entails measuring reduction in symptom severity or improvement in functioning or in documenting the prevention of a future negative outcome. CONCLUSIONS: Empirical methods should be applied to the assessment of changes that purport to improve clinical utility in future revisions of DSM.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Establishment of Diagnostic Validity in Psychiatric Illness: Its Application to Schizophrenia
ROBINS, E., & GUZE, S. B. (1970) · American Journal of Psychiatry · doi:10.1176/ajp.126.7.983 · Cited by 2,243
Field trial for autistic disorder in DSM-IV
(1994) · American Journal of Psychiatry · doi:10.1176/ajp.151.9.1361 · Cited by 401
Cited by
Epidemiology of mental disorders in children and adolescents
Merikangas, K. R., Nakamura, E. F., & Kessler, R. C. (2009) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2009.11.1/krmerikangas · Cited by 1,246
Cain, N. M., Pincus, A. L., & Ansell, E. B. (2008) · Clinical Psychology Review · doi:10.1016/j.cpr.2007.09.006 · Cited by 876
Widiger, T. A., & Samuel, D. B. (2005) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.114.4.494 · Cited by 752
Clark, L. A., Cuthbert, B., Lewis-Fernández, R., Narrow, W. E., & Reed, G. M. (2017) · Psychological Science in the Public Interest · doi:10.1177/1529100617727266 · Cited by 688
Common disorders are quantitative traits
Plomin, R., Haworth, C. M. A., & Davis, O. S. P. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2670 · Cited by 670
Metadata
- Authors
- First, M. B., Pincus, H. A., Levine, J. B., Williams, J. B. W., Ustun, B., & Peele, R.
- Venue
- American Journal of Psychiatry
- Published
- 2004-06-01
- Volume
- 161
- Issue
- 6
- Pages
- 946-954
- ISSN
- 0002-953X (ISSN-L)
- 1535-7228
- OpenAlex
- W2109635956
- Cited by
- 341
- References
- 2
- FWCI
- 170.32
- Type
- journal article
- Language
- en
- Open access
- closed
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Clinical Utility as a Criterion for Revising Psychiatric Diagnoses. https://app.cochat.ai/papers/10.1176/appi.ajp.161.6.946
- The paper
- First, M. B., Pincus, H. A., Levine, J. B., Williams, J. B. W., Ustun, B., & Peele, R. (2004). Clinical Utility as a Criterion for Revising Psychiatric Diagnoses. American Journal of Psychiatry. https://doi.org/10.1176/appi.ajp.161.6.946
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.