Perinatal Posttraumatic Stress Disorder Diagnoses Among Commercially Insured People Increased, 2008–20
Bibliographic record
Abstract
Posttraumatic stress disorder (PTSD) is a burdensome disorder, affecting 3-4 percent of delivering people in the US, with higher rates seen among Black and Hispanic people. The extent of clinical diagnosis remains unknown. We describe the temporal and racial and ethnic trends in perinatal PTSD diagnoses among commercially insured people with live-birth deliveries during the period 2008-20, using administrative claims from Optum's Clinformatics Data Mart Database. Predicted probabilities from our logistic regression analysis showed a 394 percent increase in perinatal PTSD diagnoses, from 37.7 per 10,000 deliveries in 2008 to 186.3 per 10,000 deliveries in 2020. White people had the highest diagnosis rate at all time points (208.0 per 10,000 deliveries in 2020), followed by Black people, people with unknown race, Hispanic people, and Asian people (188.7, 171.9, 146.9, and 79.8 per 10,000 deliveries in 2020, respectively). The significant growth in perinatal PTSD diagnosis rates may reflect increased awareness, diagnosis, or prevalence of the disorder. However, these rates fall well below the estimated prevalence of PTSD in the perinatal population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".