Effects Of Medicaid Expansions On Coverage, Prenatal Care, And Health Among American Indian/Alaska Native Women.

American Indian/Alaska Native (AI/AN) women experience distinct political and health care environments and possess unique health risks and resources. We tested whether state Medicaid expansions under the Affordable Care Act were associated with health insurance, prenatal care, health conditions, and birth outcomes among AI/AN women. Using data from the 2010-19 American Community Survey and 2010-19 US birth certificates, we used a difference-in-differences study design to compare outcomes among AI/AN women before and after Medicaid expansions. Medicaid expansions increased the proportion of AI/AN women reporting health care coverage from both Medicaid and the Indian Health Service (IHS), with larger effects among women living in areas with relatively high percentages of reservation land. Consistent with prior research on the broader population of women, Medicaid expansions had no effects on first-trimester prenatal care usage or birthweight among AI/AN women. We found mixed evidence of increased rates of prepregnancy chronic conditions after the expansions. Our findings demonstrate the importance of Medicaid, the IHS, and tribal health systems as sources of health care coverage for AI/AN women of childbearing age.

Affordable Care Act Medicaid expansions and maternal morbidity.

In this paper, we test whether the Affordable Care Act Medicaid expansions are associated with maternal morbidity. The ACA expansions may have affected maternal morbidity by increasing pre-conception access to health care, and by improving the quality of delivery care, through enhancing hospitals' financial positions. We use difference-in-difference models in conjunction with event studies. Data come from individual-level birth certificates and state-level hospital discharge data. The results show little evidence that the expansions are associated with overall maternal morbidity or indicators of specific adverse events including eclampsia, ruptured uterus, and unplanned hysterectomy. The results are consistent with prior research showing that the ACA Medicaid expansions are not statistically associated with pre-pregnancy health or maternal health during pregnancy. Our results add to this story and find little evidence of improvements in maternal health upon delivery.

Effects of New York state paid family leave on early immunizations.

OBJECTIVE: To test whether introduction of New York Paid Family Leave (NY PFL) in 2018 is associated with the timeliness of immunizations among infants whose mothers reside in NY in one of the 57 counties outside of New York City (NYC). METHODS: We use difference-in-difference methods, comparing immunization outcomes before and after NY PFL went into effect among infants born to mothers who were employed during pregnancy, and thus likely to be affected by NY PFL, vs. mothers who were not employed during pregnancy and thus unlikely to be affected. Data come from two administrative sources: (1) NYS Vital Statistics birth data; and (2) the NYS Immunization Information System (NYSIIS). RESULTS: Our findings suggest that NY PFL is associated with small increases in the probability that firstborn infants have had all immunizations on time at the ages of two and four months. We do not find statistically significant effects of NY PFL on immunization outcomes among higher birth order children. CONCLUSIONS: Our findings suggest that NY PFL led to small improvements in the timeliness of early immunizations among firstborn infants.

Effects of COVID-19 on school enrollment.

We estimate effects of the COVID-19 pandemic on self-reported school enrollment using a sample of 16-to-18-year-old youth from the January 2010 to the December 2020 Current Population Survey (CPS). The pandemic reduced the likelihood of students reporting that they were enrolled in high school by about 1.8 percentage points in April 2020 vs. in the same month in prior years, although enrollment rebounded back to typical levels by October 2020. Adverse effects on school enrollment were magnified for older vs. younger students, males vs. females, and among adolescents without a college-educated household member vs. adolescents from more educated households. Greater school responsiveness to the pandemic and high school graduation exit exams appear to have protected students from disengaging from school.

Effects of the COVID-19 Pandemic on Outpatient Providers in the United States.

BACKGROUND: During the COVID-19 pandemic, there is concern that social distancing, fear of contagion, quarantining of providers, cancellation of elective procedures, media coverage about the pandemic, and other factors drastically reduced physician visits, putting severe financial strain on outpatient providers, and having unknown ramifications for health outcomes. OBJECTIVES: We estimate the effect of the pandemic on utilization of outpatient services. RESEARCH DESIGN: Using 2010-2020 data from a national dataset, the Outpatient Influenza-like Illness Surveillance Network, we estimate the difference in outpatient care utilization during the time period of the COVID-19 pandemic versus the same weeks in prior years. RESULTS: Our findings indicate that the pandemic started to reduce visits during the week of March 15-21. The effect on visits grew until reaching a peak during the week of April 5-11, 2020, when the pandemic reduced the total number of outpatient visits per provider by 70% relative to the same week in prior years. We find negative effects of the pandemic on visits for non-flu symptoms as well as on visits for flu symptoms, but the magnitudes of these latter effects tended to be larger in magnitude. The pandemic's impact declined over time, and by the week of June 28 to July 4, 2020, there was no longer any difference in total visits per provider relative to the same week in prior years. Despite the resurgence of COVID-19 in June and July, we still find no effects on total visits when our data end in July 26 to August 1, 2020. CONCLUSIONS: Our findings show that one by-product of the COVID-19 pandemic in the United States is a large decline in the use of outpatient care which peaked around the week of April 5-11. Total outpatient visits rebounded completely and remain stable as of July 26 to August 1, 2020.

Effects of Psychiatric Disorders on Labor Market Outcomes: A Latent Variable Approach Using Multiple Clinical Indicators.

In this paper, we estimate the effect of psychiatric disorders on labor market outcomes using a structural equation model with a latent index for mental illness, an approach that acknowledges the continuous nature of psychiatric disability. We also address the potential endogeneity of mental illness using an approach proposed by Lewbel (2012) that relies on heteroscedastic covariance restrictions rather than questionable exclusion restrictions for identification. Data come from the US National Comorbidity Survey - Replication and the National Latino and Asian American Study. We find that mental illness adversely affects employment and labor force participation and also reduces the number of weeks worked and increases work absenteeism. To assist in the interpretation of findings, we simulate the labor market outcomes of individuals meeting diagnostic criteria for mental disorder if they had the same mental health symptom profile as individuals not meeting diagnostic criteria. We estimate potential gains in employment for 3.5 million individuals, and reduction in workplace costs of absenteeism of $21.6 billion due to the resultant improvement in mental health. Copyright © 2015 John Wiley & Sons, Ltd.

Job mobility among parents of children with chronic health conditions: Early effects of the 2010 Affordable Care Act.

We examine the effects of the 2010 Patient Protection and Affordable Care Act's (ACA) prohibition of preexisting conditions exclusions for children on job mobility among parents. We use a difference-in-difference approach, comparing pre-post policy changes in job mobility among privately-insured parents of children with chronic health conditions vs. privately-insured parents of healthy children. Data come from the 2004 and 2008 Survey of Income and Program Participation (SIPP). Among married fathers, the policy change is associated with about a 0.7 percentage point, or 35 percent increase, in the likelihood of leaving an employer voluntarily. We find no evidence that the policy change affected job mobility among married and unmarried mothers.

The effects of mandated health insurance benefits for autism on out-of-pocket costs and access to treatment.

As of 2014, 37 states have passed mandates requiring many private health insurance policies to cover diagnostic and treatment services for autism spectrum disorders (ASDs). We explore whether ASD mandates are associated with out-of-pocket costs, financial burden, and cost or insurance-related problems with access to treatment among privately insured children with special health care needs (CSHCNs). We use difference-in-difference and difference-in-difference-in-difference approaches, comparing pre--post mandate changes in outcomes among CSHCN who have ASD versus CSHCN other than ASD. Data come from the 2005 to 2006 and the 2009 to 2010 waves of the National Survey of CSHCN. Based on the model used, our findings show no statistically significant association between state ASD mandates and caregivers' reports about financial burden, access to care, and unmet need for services. However, we do find some evidence that ASD mandates may have beneficial effects in states in which greater percentages of privately insured individuals are subject to the mandates. We caution that we do not study the characteristics of ASD mandates in detail, and most ASD mandates have gone into effect very recently during our study period.

EXAMINING THE EDUCATION GRADIENT IN CHRONIC ILLNESS.

We examine the education gradient in diabetes, hypertension, and high cholesterol. We take into account diagnosed as well as undiagnosed cases, and use methods accounting for the possibility of unmeasured factors that are correlated with education and drive both the likelihood of having illness and the propensity to be diagnosed. Data come from the National Health and Nutrition Examination Survey (NHANES) 1999-2012. The education gradient in chronic disease varies by whether self-reported or objective disease measures are used. Education is negatively associated with having undiagnosed disease in some cases, but findings vary by how we define undiagnosed disease.

Effects of bicycle helmet laws on children's injuries.

In recent years, many states and localities in the USA have enacted bicycle helmet laws. We estimate the effects of these laws on injuries requiring emergency department treatment. Using hospital-level panel data and triple difference models, we find helmet laws are associated with reductions in bicycle-related head injuries among children. However, laws also are associated with decreases in non-head cycling injuries, as well as increases in head injuries from other wheeled sports. Thus, the observed reduction in bicycle-related head injuries may be due to reductions in bicycle riding induced by the laws.

Fetal growth and neurobehavioral outcomes in childhood.

Using a sample of sibling pairs from a nationally representative U.S. survey, we examine the effects of the fetal growth rate on a set of neurobehavioral outcomes in childhood measured by parent-reported diagnosed developmental disabilities and behavior problems. Based on models that include mother fixed effects, we find that the fetal growth rate, a marker for the fetal environment, is negatively associated with lifetime diagnosis of developmental delay. We also find that the fetal growth rate is negatively associated with disruptive behaviors among male children. These results suggest that developmental disabilities and problem behaviors may play a role in explaining the well-documented association between birth weight and human capital outcomes measured in adulthood.

Birth weight and academic achievement in childhood.

Research has shown that birth weight has a lasting impact on later-life outcomes such as educational attainment and earnings. This paper examines the role of health at birth in determining academic achievement in childhood, which may provide the link between birth weight and adult outcomes. Using three waves of the Child Development Supplement of the Panel Study of Income Dynamics data over 1997-2007, we build on the literature by employing the fetal growth rate as a proxy for net nutritional intake in utero and propose a nested error-component two-stage least squares estimator that draws on internal instruments from alternative dimensions of the multilevel panel data set. In particular, this alternative estimator allows us to exploit the information on children with no siblings in the sample, which comprise over 40% of the observations in our sample, as well as to obtain coefficient estimates for the time-invariant variables such as race and maternal education. This would not be feasible with the usual mother fixed effects estimation. We obtain modest but significant effects of both birth weight and the fetal growth rate on math and reading scores, with the effects concentrated in the low birth weight range. Infant health measures appear to explain little of the well-documented racial disparity in test scores.

Identifying the mechanisms for workplace burden of psychiatric illness.

BACKGROUND: Although previous research indicates that mental disorders detract from labor market outcomes, little is known about which psychiatric symptoms are most important. OBJECTIVE: The objective of this study was to identify the mechanisms, or most important symptoms, through which psychiatric disorders affect labor market outcomes. We focus on major depressive episode, panic attack, social phobia, and generalized anxiety disorder. Our approach builds on prior work in that we consider the effects of symptoms both among individuals meeting and among individuals not meeting the diagnostic criteria for mental disorders. RESEARCH DESIGN: Data were obtained from the National Comorbidity Survey Replication and the National Latino and Asian American Study. We used a structural equation model with latent indices for mental disorders, where the indices are generated from the model using multiple indicators (symptoms) and multiple causes of the disorders. MEASURES: The outcomes were current employment/labor force participation, weeks worked in last year, and number of work absences in the last month among employed individuals. RESULTS: We found that for major depressive episode, symptoms of insomnia/hypersomnia, indecisiveness, severe emotional distress, and fatigue are crucial for labor market outcomes. In the case of generalized anxiety disorder, the length of the episode, symptoms relating to difficulty controlling worry, and symptoms of worry/anxiety/nervousness causing significant emotional distress were most detrimental for work outcomes. Social phobia and panic attack were not associated with labor market outcomes. CONCLUSION: Our findings suggest that interventions targeting these particular symptoms may be most helpful in improving work functioning.

Effects of early maternal employment on maternal health and well-being.

This study uses data from the National Institute of Child Health and Human Development Study on Early Child Care to examine the effects of maternal employment on maternal mental and overall health, self-reported parenting stress, and parenting quality. These outcomes are measured when children are 6 months old. Among mothers of 6-month-old infants, maternal work hours are positively associated with depressive symptoms and parenting stress and negatively associated with self-rated overall health. However, maternal employment is not associated with quality of parenting at 6 months, based on trained assessors' observations of maternal sensitivity.

The dynamics of income-related health inequality among American children.

We estimate and decompose income-related inequality in child health in the USA and analyze its dynamics using the recently introduced health mobility index. Data come from the 1997, 2002, and 2007 waves of the Child Development Supplement of the Panel Study of Income Dynamics. The findings show that income-related child health inequality remains stable as children grow up and enter adolescence. The main factor underlying income-related child health inequality is income itself, although other factors, such as maternal education, also play a role. Decomposition of income-related health mobility indicates that health changes over time are more favorable to children with lower initial family incomes versus children with higher initial family incomes. However, offsetting this effect, our findings also suggest that changes in income ranking over time are positively related to children's subsequent health status.

Family leave after childbirth and the mental health of new mothers.

BACKGROUND: Recent studies indicate that short maternity leave, and, more generally, full-time maternal employment during the first year of life, detract from children's health, cognitive development, and behavioral outcomes. Much less is known, however, about how early parental employment affects the mental and physical health of the mothers themselves. AIMS OF THE STUDY: The purpose of this paper is to examine the association between short family leave length (less than 12 weeks of total leave after childbirth, less than 8 weeks of paid leave) and mental and physical health outcomes among new mothers. METHODS: Data come from the Early Childhood Longitudinal Study--Birth Cohort (ECLS-B), a nationally representative sample of 14,000 children born in 2001 and followed until kindergarten entry. We focus on a sample of ECLS-B mothers from the first wave of the survey who had worked during pregnancy and who had returned to work by the time of the first follow-up interview, which was conducted about 9 months after childbirth. When examining the effects of paternal leave, we further restrict this sample to mothers who were married at the time of the first follow-up interview. The maternal health outcomes of interest are measures of depression and overall health status. We use standard OLS and ordered probit models, as well as two-stage least squares and two-stage residual inclusion methods which address the potential endogeneity of family leave with respect to maternal health. RESULTS: Our findings from the OLS and ordered probit models indicate that, for mothers who worked prior to childbirth and who return to work in the first year, having less than 12 weeks of maternal leave and having less than 8 weeks of paid maternal leave are both associated with increases in depressive symptoms, and having less than 8 weeks of paid leave is associated with a reduction in overall health status. Findings from models that address the potential endogeneity of maternal leave generally support these results, and suggest that longer leave may improve the health of new mothers. DISCUSSION: Our findings suggest that longer leave after childbirth may benefit families. However, one potential drawback of using cross-sectional variation in state policies and community characteristics for identification is that these measures may be correlated with other unmeasured factors that directly influence family leave and maternal health. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: The mother's mental and physical health can be an important route through which infants are affected by parents' employment decisions. Our findings suggest that post-partum health services that target mothers' mental and physical health, and its effects on infants, may be useful. IMPLICATIONS FOR HEALTH POLICIES: Our findings suggest that policies that support longer family leave may benefit maternal mental health. IMPLICATIONS FOR FURTHER RESEARCH: Future research should examine how workplace and public policies related to maternal employment can be used to improve families' health outcomes.

Beware of being unaware: racial/ethnic disparities in chronic illness in the USA.

We study racial/ethnic disparities in awareness of chronic diseases using biomarker data from the 2006 Health and Retirement Study. We explore two alternative definitions of awareness and estimate a trivariate probit model with selection, which accounts for common, unmeasured factors underlying the following: (1) self-reporting chronic disease; (2) participating in biomarker collection; and (3) having disease, conditional on participating in biomarker collection. Our findings suggest that current estimates of racial/ethnic disparities in chronic disease are sensitive to selection, and also to the definition of disease awareness used. We find that African-Americans are less likely to be unaware of having hypertension than non-Latino whites, but the magnitude of this effect falls appreciably after we account for selection. Accounting for selection, we find that African-Americans and Latinos are more likely to be unaware of having diabetes compared to non-Latino whites. These findings are based on a widely used definition of awareness - the likelihood of self-reporting disease among those who have disease. When we use an alternative definition of awareness, which considers an individual to be unaware if he or she actually has the disease conditional on self-reporting not having it, we find higher levels of unawareness among racial/ethnic minorities versus non-Latino whites for both hypertension and diabetes.

Racial/ethnic- and education-related disparities in the control of risk factors for cardiovascular disease among individuals with diabetes.

OBJECTIVE: There is limited information on whether recent improvements in the control of cardiovascular disease (CVD) risk factors among individuals with diabetes have been concentrated in particular sociodemographic groups. This article estimates racial/ethnic- and education-related disparities and examines trends in uncontrolled CVD risk factors among adults with diabetes. The main racial/ethnic comparisons made are with African Americans versus non-Latino whites and Mexican Americans versus non-Latino whites. RESEARCH DESIGN AND METHODS: The analysis samples include adults aged ≥20 years from the National Health and Nutrition Examination Survey (NHANES) 1988-1994 and the NHANES 1999-2008 who self-reported having diabetes (n = 1,065, NHANES 1988-1994; n = 1,872, NHANES 1999-2008). By use of logistic regression models, we examined the correlates of binary indicators measuring 1) high blood glucose, 2) high blood pressure, 3) high cholesterol, and 4) smoking. RESULTS: Control of blood glucose, blood pressure, and cholesterol improved among individuals with diabetes between the NHANES 1988-1994 and the NHANES 1999-2008, but there was no change in smoking prevalence. In the NHANES 1999-2008, racial/ethnic minorities and individuals without some college education were more likely to have poorly controlled blood glucose compared with non-Latino whites and those with some college education. In addition, individuals with diabetes who had at least some college education were less likely to smoke and had better blood pressure control compared with individuals with diabetes without at least some college education. CONCLUSIONS: Trends in CVD risk factors among individuals with diabetes improved over the past 2 decades, but racial/ethnic- and education-related disparities have emerged in some areas.

Psychiatric disorders and labor market outcomes: evidence from the National Comorbidity Survey-Replication.

This paper uses the National Comorbidity Survey-Replication to estimate effects of recent psychiatric disorder on employment, hours worked, and earnings. We employ methods proposed in Altonji et al. (2005a) which use selection on observable traits to provide information regarding selection along unobservable factors. Among males, disorder is associated with reductions in labor force participation and employment. When selection on observed characteristics is set equal to selection on unobserved characteristics, the magnitudes of these effects for males are 9 and 14 percentage point reductions for participation and employment, respectively. Among females, we find negative associations between disorder and labor force participation and employment, but these estimates are more sensitive to assumptions about selection. There are no effects of disorder on earnings or hours worked among employed individuals.

Do state expenditures on tobacco control programs decrease use of tobacco products among college students?

The objective of this paper is to investigate the effects of state tobacco control program expenditures on individual-level tobacco use behaviors among young adults. Data come from the 1997, 1999 and 2001 waves of the Harvard School of Public Health College Alcohol Study (CAS). Our findings indicate that a higher level of state spending on tobacco control programs in the prior year is associated with a statistically significant increase in the probability that current daily smokers report at least one attempt to quit smoking in the past year. We also find evidence that higher state expenditures on tobacco control programs in the prior year are associated with reductions in the prevalence of daily smoking and 30-day cigar use among college students. We do not find any statistically significant association between state tobacco control program expenditures and the number of attempts to quit smoking among those with at least one attempt, or on the prevalence of smokeless tobacco use in the past month.