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Record W2042049883 · doi:10.4088/jcp.v69n0813

Missed Diagnosis of Psychotic Depression at 4 Academic Medical Centers

2008· article· en· W2042049883 on OpenAlexaff
Anthony J. Rothschild, Jesse L. Winer, Alastair J. Flint, Benoit H. Mulsant, Ellen M. Whyte, Moonseong Heo, Susan E. Fratoni, Michelle Gabriele, Sonja Kasapinovic, Barnett S. Meyers

Bibliographic record

VenueThe Journal of Clinical Psychiatry · 2008
Typearticle
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsUniversity of Toronto
FundersNational Center for Research ResourcesNational Institute of Mental Health
KeywordsMedical diagnosisPsychiatryConcordanceDepression (economics)Medical recordPsychotic depressionMoodMedicinePopulationMood disordersPsychologyPsychosisClinical psychologyAnxiety

Abstract

fetched live from OpenAlex

BACKGROUND: Major depressive disorder with psychotic features (psychotic depression), though occurring relatively frequently in the general population, is a commonly missed psychiatric diagnosis. OBJECTIVE: To ascertain accuracy of diagnosis of psychotic depression among inpatients at 4 academic medical centers and explore whether presenting symptoms, treatment setting, and physician's level of training affect the accuracy of diagnosis. METHOD: The medical records of 65 patients who met DSM-IV criteria for psychotic depression following systematic assessment were analyzed to ascertain the concordance between chart diagnoses and research diagnoses arrived at using the Structured Clinical Interview for DSM-IV. The patients were participants in the National Institute of Mental Health Study of Pharmacotherapy of Psychotic Depression, conducted from December 28, 2002, through June 18, 2004, at 4 academic medical centers. For each patient's hospital visit, separate standardized data forms were completed on the basis of each physician's assessment of the patient prior to screening for the study. Hospital records from the emergency room and from admission to psychiatric units were reviewed. Among these 65 patients, 130 chart diagnoses had been made. RESULTS: Psychotic depression had not been diagnosed prior to research assessments for 27% of the 130 diagnoses in our sample. The 3 most common diagnoses assigned to patients meeting research criteria for psychotic depression were major depressive disorder without psychotic features, depression not otherwise specified, and mood disorder not otherwise specified. Failure to identify psychotic depression was more likely when symptoms of depressed mood, hallucinations, or delusions were not noted in the medical record (all p < .005). The accuracy of diagnoses was greater on inpatient units than in emergency rooms (chi(2) = 7.64, p < .01). CONCLUSION: The diagnosis of psychotic depression is frequently missed in emergency room and inpatient settings. The findings of this study are sobering given the serious morbidity and mortality of psychotic depression and the implications for treatment if an inaccurate diagnosis is made. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT00056472.

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.

How this classification was reachedexpand

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)0.002
metaresearch head score (Gemma)0.002
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 score0.093
Threshold uncertainty score0.656

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.099
GPT teacher head0.429
Teacher spread0.330 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations90
Published2008
Admission routes1
Has abstractyes

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