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Objectives. To assess the impact of state COVID-19 vaccine mandates for health care workers (HCWs) on health sector employment in the United States. Methods. Using monthly state-level employment data from the Quarterly Census of Employment and Wages between January and October 2021, we employed a partially pooled synthetic control method that accounted for staggered mandate adoption and heterogeneous treatment effects. We conducted analyses separately for the 4 health care subsectors-ambulatory health care services, hospitals, nursing and residential care, and social assistance-with an additional analysis of 2 industry groups-skilled nursing care and community care for the elderly-under the nursing and residential care subsector. We further explored possible heterogeneous impacts according to the test-out option availability. Results. Mandate impact estimates were statistically indistinguishable from zero. Results further ruled out a mandate-associated decrease in employment larger than 2.1% of premandate employment levels for the 6 health care domains examined and for states with no test-out option. Conclusions. State COVID-19 vaccine mandates for HCWs were not found to be associated with significant adverse impacts on health sector employment even in states without a testing alternative to vaccination. The findings support vaccine mandates as a viable preventive measure without material disruption to the health care workforce, including in times of public health emergencies. ( Am J Public Health . Published online ahead of print January 23, 2025:e1-e5. https://doi.org/10.2105/AJPH.2024.307906).

Objectives. To demonstrate the spatially uneven effects of abortion restriction laws in Texas. Methods. We used network analysis to determine the change in distance to the nearest surgical abortion provider for 5253 Texas neighborhoods after the passing of Texas Senate Bill 8 (SB8; 2021) and the US Supreme Court's Dobbs v Jackson Women's Health Organization (2022) decision. We identified associations between key measures of neighborhood socioeconomic context and change in distance to providers using multivariable linear regression models. Results. After the Dobbs decision, Texas residents experienced an average change in distance to the nearest provider of 457 miles (SD = 179). Neighborhoods of concentrated disadvantage experienced the greatest increase in distance to abortion providers after SB8's passing, and neighborhoods with high levels of income inequality experienced the greatest increase in distance after the Dobbs decision. Conclusions. We document the rapidly changing abortion landscape in a highly restrictive state and show that women living in more disadvantaged and unequal areas are most affected by the increasing distance to providers. Public Health Implications. Our methods and findings will continue to be relevant in understanding the burden placed on women in areas where medical abortion has been restricted because of the Dobbs decision. ( Am J Public Health . 2024;114(10):1024-1033. https://doi.org/10.2105/AJPH.2024.307652).