Sociodemographic and occupational factors influencing pregnant workers’ awareness and utilization of the New York City Pregnant Workers Fairness Act
Bibliographic record
Abstract
Abstract Background The New York City (NYC) Pregnant Workers Fairness Act (PWFA) went into effect in January 2014 to provide greater flexibility for pregnant workers’ accommodations, yet no studies to date have evaluated its effectiveness and utilization. We examined factors associated with pregnant workers’ PWFA awareness, understanding of PWFA, and receipt of accommodations in a lower socioeconomic status population in NYC. Methods Participants included 481 pregnant workers who attended prenatal visits at Mount Sinai Hospital Obstetrics and Gynecology Clinic in NYC in 2017. Detailed demographic and occupational data were collected via in-person interviews using a pregnancy and work survey. Information on participants’ PWFA awareness, knowledge of PWFA-eligible accommodations, and accommodations received was also obtained. Multivariable-adjusted logistic regressions were used to identify the factors influencing PWFA awareness, knowledge of PWFA-eligible accommodations, and accommodations received among six common examples. Results Only 14% of participants had ever heard of NYC PWFA legislation. Lower educational level (≤ 12th grade) (Adjusted Odds Ratio [aOR] = 0.54, 95% Confidence Interval [CI] = 0.30–0.98) and being unsure of workplace maternity leave policy (aOR=0.39, 95% CI=0.18-0.87) were associated with lack of PWFA awareness. Regardless of PWFA awareness, no maternity leave policy (aOR = 0.15, 95% CI = 0.04–0.48 vs. paid policy) and being unsure of maternity leave policy (aOR = 0.19, 95% CI = 0.06–0.59 vs. paid policy) were associated with no knowledge of any PWFA-eligible accommodations. Regardless of their PWFA awareness, women working for ≤ 5 years (aOR=0.42, 95% CI=0.22-0.83), non-U.S. born (aOR=0.57, 95% CI=0.36-0.90), and high-risk pregnancy clinic patients (aOR=0.59, 95% CI=0.38-0.93) all had lower odds of receiving PWFA-eligible accommodations, such as adjustment to lighter duty, compared to their counterparts. Conclusions Lower educational level, lack of paid workplace maternity leave policy, shorter job tenure, and non-U.S. born were associated with decreased PWFA awareness and/or accommodations received. As more women continue to work during pregnancy, interventions promoting PWFA awareness and utilization are paramount for protecting the maternal and child health of these identified vulnerable groups, especially given that final regulations for a national PWFA recently went into effect across the United States in June 2024.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".