Perinatal Mood and Anxiety Disorder and Reproductive Justice: Examining Unmet Needs for Mental Health and Social Services in a National Cohort
Bibliographic record
Abstract
Introduction: Perinatal Mood and Anxiety Disorders (PMADs) are the most common complications during the perinatal period. There is limited understanding of the gaps between need and provision of comprehensive health services for childbearing people, especially among racialized populations. Methods: =2700), led by a multistakeholder, Steering Council, captured experiences of engaging with perinatal services, including access, respectful care, and health systems' responsiveness across the United States. A patient-designed survey included variables to assess relationships between race, care provider type (midwife or doctor), and needs for psychosocial health services. We calculated summary statistics and tested for significant differences across racialized groups, subsequently reporting odds ratios (ORs) for each group. Results: =274) reported unmet needs for social and mental health services. Indigenous women were three times as likely to have unmet needs for treatment for depression (OR [95% confidence interval, CI]: 3.1 [1.5-6.5]) or mental health counseling (OR [95% CI]: 2.8 [1.5-5.4]), followed by Black women (OR [95% CI]: 1.8 [1.2-2.8] and 2.4 [1.7-3.4]). Odds of postpartum screening for PMAD were significantly lower for Latina women (OR [95% CI]=0.6 [0.4-0.8]). Those with midwife providers were significantly more likely to report screening for anxiety or depression (OR [95% CI]=1.81 [1.45-2.23]) than those with physician providers. Discussion: We found significant unmet need for mental health screening and treatment in the United States. Our results confirm racial disparities in referrals to social services and highlight differences across provider types. We discuss barriers to the integration of assessments and interventions for PMAD into routine perinatal services. Implications: We propose incentivizing reimbursement schema for screening and treatment programs; for community-based organizations that provide mental health and social services; and for culture-centered midwife-led perinatal and birth centers. Addressing these gaps is essential to reproductive justice.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".