Suchergebnisse

Background: A growing body of research finds that paid leave policies have significant population health benefits for workers and their families, but the lack of a national paid leave policy in the United States leaves most workers without access to any paid leave. In 2017 San Francisco implemented the nation's first fully paid leave policy, mandating that covered employers provide up to six weeks of leave to care for a new child. The objective of our study is to examine how the San Francisco Paid Parental Leave Ordinance (PPLO) affected paid leave access, including among workers in low-wage industries. Methods: We surveyed Bay Area employers in 2018, the year after PPLO took effect. We estimated difference-in-differences models of changes in access to paid leave before versus after implementation of the PPLO in San Francisco compared to surrounding counties. Results: Availability of paid leave in San Francisco firms increased from 45% in 2016 to 79% following implementation of the PPLO. This is significantly more (p < 0.05) than the increase from 32% to 47% in surrounding counties. Compliance was lowest (67%) among low-wage firms. We found minimal evidence of self-reported negative effects on employers. Overall, 82% of firms supported the PPLO. Conclusions: San Francisco's experience demonstrates the feasibility of using local policy to increase parental leave access.

Introduction: Paid family leave (PFL) has the potential to reduce persistent health disparities. This study aims to characterize differences in access to paid leave by industry sector and occupational class. Methods: The Bay Area Parental Leave Survey of Mothers included respondents 18 years of age or older who worked in the San Francisco Bay Area and gave birth from 2016 to 2017. Using linear probability models, we examined differences in five separate measures of PFL by industry sector and occupational class. We extended our regression analysis to simulate the full pay equivalent (FPE) weeks of leave that would have been taken under hypothetical scenarios of increased uptake and wage replacement rates. Results: Our study included 806 women in private for-profit or non-profit jobs. In fully adjusted models, bluecollar workers were 10.9% less likely to take 12 weeks of paid parental leave versus white-collar workers (95% CI: -25.9, 4.1). Respondents were 19.2% less likely receive 100% of their regular pay if they worked in education and health services (− 29.1, − 9.3) and 17.0% less likely if they worked in leisure and hospitality (− 29.5, − 4.4) versus respondents in professional and financial services. Respondents in leisure and hospitality reported 1.6 fewer FPE weeks of leave versus respondents in professional and financial services (− 2.73, − 0.42) and blue-collar respondents reported an average of 1.5 fewer FPE weeks versus white-collar workers (− 2.66, − 0.42). In our simulation analysis, when we manipulated rates of uptake for paid leave, the disparities in FPE by industry sector and occupational class were eliminated. Conclusion: We observed substantial inequities in access to paid leave by industry sector and occupational class. These findings underscore the potential importance of universal PFL programs with universal benefits to reduce clear inequities that persist within the labor market today.

Reference pricing (RP) is an insurance design that can be used to incentivize patients to use low-price settings. While RP is not intended to affect overall utilization, it could unintentionally reduce utilization. We examined whether utilization was reduced when a large employer adopted RP for selected elective surgeries, including inpatient joint replacement surgery and outpatient cataract surgery, colonoscopy, and arthroscopic surgery. Data included a treatment group subject to RP implementation and a comparison group that was not. We applied autoregressive integrated moving average analysis as comparison-population interrupted time-series analysis to determine whether there were procedure reductions following RP implementation. We find no evidence of short-term decreases (within 3 months of RP implementation). However, we find very modest declines of approximately 14 (20%) fewer arthroscopic knee surgeries 6 months after RP implementation and 129 (17.2%) fewer colonoscopies 8 months after RP implementation. There were no declines in the other procedures examined.

Purpose: Interventions for tobacco dependence are most effective when combined with smoke-free policies, yet such policies are rare in permanent supportive housing (PSH) for formerly homeless adults. We aimed to provide in-depth analysis of attitudes and barriers to and facilitators of implementing smoke-free policies in PSH. Approach: Current smokers living in PSH completed a questionnaire and participated in in-depth, semistructured interviews on smoking history, attitudes toward smoke-free policies, and perceived barriers to cessation. Setting: We collaborated with 6 San Francisco Bay Area PSH agencies. Participants: Thirty-six residents in PSH. Methods: Interviews, conducted by trained interviewers, were digitally recorded, transcribed, and analyzed using content analysis methods. Participants were recruited until we reached thematic saturation, or no new themes emerged from the interviews. Results: Over half of participants (52.8%, n = 19) reported depression, and 97.2% (n = 35) reported current substance use. Support for indoor smoking bans in living areas was modest (33.1%), although most residents anticipated cutting down (61%) and reported they would not move because of a smoking ban (77.8%). There was interest in quitting smoking, although co-use of tobacco with other substances was a major barrier. Conclusion: This study is the first to explore attitudes toward smoke-free policies in PSH. We found that residents in PSH support smoke-free policies and consider them feasible if implementation processes are sound. Our findings underscore the need to address barriers to adopting smoke-free policies and accessing smoking cessation services. In particular, interventions must address the co-use of tobacco with other substances and the impact of smoking on financial and housing stability.

AbstractScholarly literature claims that health declines in populations when optimism about investing in the future wanes. This claim leads us to describe collective optimism as a predictor of selection in utero. Based on the literature, we argue that the incidence of suicide gauges collective optimism in a population and therefore willingness to invest in the future. Using monthly data from Sweden for the years 1973–2016, we test the hypothesis that the incidence of suicide among women of child-bearing age correlates inversely with male twin births, an indicator of biological investment in high-risk gestations. We find that, as predicted by our theory, the incidence of suicide at month t varies inversely with the ratio of twin to singleton male births at month t + 3. Our results illustrate the likely sensitivity of selection in utero to change in the social environment and so the potential for viewing collective optimism as a component of public health infrastructure.

Periviable infants (i.e., born before 26 complete weeks of gestation) represent fewer than .5% of births in the US but account for 40% of infant mortality and 20% of billed hospital obstetric costs. African American women contribute about 14% of live births in the US, but these include nearly a third of the country's periviable births. Consistent with theory and with periviable births among other race/ethnicity groups, males predominate among African American periviable births in stressed populations. We test the hypothesis that the disparity in periviable male births among African American and non-Hispanic white populations responds to the African American unemployment rate because that indicator not only traces, but also contributes to, the prevalence of stress in the population. We use time-series methods that control for autocorrelation including secular trends, seasonality, and the tendency to remain elevated or depressed after high or low values. The racial disparity in male periviable birth increases by 4.45% for each percentage point increase in the unemployment rate of African Americans above its expected value. We infer that unemployment-a population stressor over which our institutions exercise considerable control-affects the disparity between African American and non-Hispanic white periviable births in the US.

AbstractPeriviable infants (i.e., born before 26 complete weeks of gestation) represent fewer than .5% of births in the US but account for 40% of infant mortality and 20% of billed hospital obstetric costs. African American women contribute about 14% of live births in the US, but these include nearly a third of the country's periviable births. Consistent with theory and with periviable births among other race/ethnicity groups, males predominate among African American periviable births in stressed populations. We test the hypothesis that the disparity in periviable male births among African American and non-Hispanic white populations responds to the African American unemployment rate because that indicator not only traces, but also contributes to, the prevalence of stress in the population. We use time-series methods that control for autocorrelation including secular trends, seasonality, and the tendency to remain elevated or depressed after high or low values. The racial disparity in male periviable birth increases by 4.45% for each percentage point increase in the unemployment rate of African Americans above its expected value. We infer that unemployment—a population stressor over which our institutions exercise considerable control—affects the disparity between African American and non-Hispanic white periviable births in the US.