Missed Diagnosis of Psychotic Depression at 4 Academic Medical Centers
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".