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Record W833751096 · doi:10.4088/jcp.14m09110

Half of Obsessive-Compulsive Disorder Cases Misdiagnosed

2015· article· en· W833751096 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Clinical Psychiatry · 2015
Typearticle
Languageen
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsKimberly-Clark (Canada)
Fundersnot available
KeywordsVignettePsychiatryPsychologyMedicineClinical psychologySocial psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: Medical settings are the primary mode of care for mental health problems; physicians' abilities with regard to psychiatric diagnosis and treatment recommendations are therefore essential. While misdiagnosis can occur across all psychiatric conditions, the heterogeneous nature of obsessive-compulsive disorder (OCD) may make this condition at an elevated risk for misidentification. The study's aim was to assess primary care physicians' ability to identify OCD. METHOD: The study was cross-sectional in design. An online, vignette-based survey was emailed to 1,172 physicians from 5 major medical hospitals in the Greater New York Area. The email included a link to the survey, which consisted of 1 of 8 randomized OCD vignettes; each vignette focused on one of the following common manifestations of OCD: obsessions regarding aggression, contamination, fear of saying things, homosexuality, pedophilia, religion, somatic concerns, or symmetry. Participants provided diagnostic impressions and treatment recommendations for the individual described in the vignette. Data collection took place from December 10, 2012, through January 18, 2013. RESULTS: Two hundred eight physicians completed the survey. The overall misidentification rate was 50.5%. Vignette type was the strongest predictor of a correct OCD response (Wald χ(2)7 = 40.58; P <.0001). Misidentification rates by vignette were homosexuality (84.6%), aggression (80.0%), saying certain things (73.9%), pedophilia (70.8%), somatic concerns (40.0%), religion (37.5%), contamination (32.3%), and symmetry (3.70%). Participants who misidentified the OCD vignette were less likely to recommend a first-line empirically supported treatment (cognitive-behavioral therapy [CBT] = 46.7%, selective serotonin reuptake inhibitor [SSRI] = 8.6%) compared to participants who correctly identified the OCD vignette (CBT = 66.0%, SSRI = 35.0%). Antipsychotic recommendation rates were elevated among incorrect versus correct responders (12.4% vs 1.9%). CONCLUSIONS: Elevated OCD misdiagnosis rates and the impact of incorrect diagnoses on treatment recommendations highlight the need for greater training regarding OCD symptomatology and empirically supported treatments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score0.907

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.070
GPT teacher head0.414
Teacher spread0.345 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it