Workplace Productivity Loss and Indirect Costs Associated With Preterm Birth in the United States
Bibliographic record
Abstract
OBJECTIVE: To estimate workplace productivity loss and indirect costs in the year after birth among individuals who deliver preterm in the United States. METHODS: This retrospective, observational cohort study estimated workplace productivity loss and indirect costs for individuals aged 18-55 years with an inpatient delivery between January 1, 2016, and September 30, 2021, using data from the Merative MarketScan Commercial Claims and Encounters database and the Health and Productivity Management database. Workdays lost and costs attributable to medical-related absenteeism, workplace absenteeism (defined as sick leave, leave, recreational leave, Family Medical Leave Act); disability (defined as short-term and long-term disability), and aggregate workplace productivity loss, a combined outcome measure, were compared between propensity-score-matched birth cohorts: preterm birth (before 37 weeks of gestation) and full-term birth (at or after 37 weeks of gestation). Outcomes were also compared between the full-term birth cohort and preterm birth subgroups (before 32 weeks of gestation and before 34 weeks of gestation). Estimations of indirect costs assumed an 8-hour workday. Costs were inflated to December 2021 U.S. dollars. RESULTS: In total, 37,522 individuals were eligible for medical-related absenteeism, 1,028 for workplace absenteeism, 7,880 for disability, and 396 for aggregate workplace productivity loss after propensity score matching. Compared with full-term birth, preterm birth was associated with more workdays lost and costs in the year after childbirth attributable to medical-related absenteeism (differences of 4.2 days and $1,045, P <.001) and disability (differences of 2.8 days and $422, P <.001). Preterm birth was not associated with workplace absenteeism (differences of 1.4 days and $347, P =.787) and aggregate workplace productivity loss (differences of 5.2 days [ P =.080] and $1,021 [ P =.093]). Numerical differences were greater in magnitude and inversely related to gestational age at birth across outcomes. CONCLUSION: Preterm birth was associated with medical-related absenteeism, disability claims, and indirect costs in the year after birth compared with full-term birth.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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) | 0.000 | 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".