The lasting consequences of childhood sexual abuse on human capital and economic well-being.

Childhood sexual abuse is a prevalent problem, yet understanding of later-in-life outcomes is limited due to unobservable determinants. I examine impacts on human capital and economic well-being by estimating likely ranges around causal effects, using a nationally representative U.S. sample. Findings suggest that childhood sexual abuse leads to lower educational attainment and worse labor market outcomes. Results are robust to partial identification methods applying varying assumptions about unobservable confounding, using information on confounding from observables including other types of child abuse. I show that associations between childhood sexual abuse and education outcomes and earnings are at least as large for males as for females. Childhood sexual abuse by someone other than a caregiver is as influential or more so than caregiver sexual abuse in predicting worse outcomes. Considering the societal burden of childhood sexual abuse, findings could inform policy and resource allocation decisions for development and implementation of best practices for prevention and support.

An algorithm using administrative data to measure adverse childhood experiences (ADM-ACE).

OBJECTIVE: To develop an algorithm using administrative data to measure adverse childhood experiences (ADM-ACE) within routinely collected health insurance claims and enrollment data. DATA SOURCES: We used claims and enrollment data from Tennessee's Medicaid program (TennCare) in 2018. STUDY DESIGN: We studied five types of ACEs: maltreatment and peer violence, foster care and family disruption, maternal mental illness, maternal substance use disorder, and abuse of the mother. We used diagnosis and procedure codes, prescription drug fills, and enrollment files to develop the ADM-ACE, which we applied to measure the prevalence of ACEs and to examine prevalence by demographic characteristics among our sample of children in TennCare. We compared ADM-ACE prevalence to child welfare records and survey results from Tennessee. DATA COLLECTION/EXTRACTION METHODS: Our study sample included children aged 0-17 years who were linked to their mothers if also enrolled in TennCare in 2018 (N = 763,836 children). PRINCIPAL FINDINGS: Approximately 19.2% of children in TennCare had indicators for ADM-ACEs. The prevalence of ACEs was higher among children who were younger (p < 0.001), non-Hispanic white or black (compared to Hispanic) (p < 0.001), and children residing in rural versus urban counties (p < 0.001). The prevalence of maltreatment identified through the ADM-ACE (1.6%) falls between the percent of children in Tennessee who were reported to child welfare authorities and the percent for whom reports of maltreatment were substantiated. Comparison with survey reports from Tennessee parents suggests an advantage in measuring maternal mental illness with the ADM-ACE using health insurance claims data. CONCLUSIONS: The ADM-ACE can be applied to health encounter data to study and monitor the prevalence of certain ACEs, their association with health conditions, and the effects of policies on reducing exposure to ACEs or improving health outcomes for children with ACEs.

Disparities in receipt of medications for opioid use disorder among pregnant women.

Background: Medications for opioid use disorder (MOUD) improve outcomes for pregnant women and infants. Our primary aim was to examine disparities in maternal MOUD receipt by family sociodemographic characteristics. Methods: This retrospective cohort study included mother-infant dyads with Medicaid-covered deliveries in Tennessee from 2009 to 2016. First, we examined family sociodemographic characteristics - including race/ethnicity, rurality, mother's primary language and education level, and whether paternity was recorded in birth records - and newborn outcomes by type of maternal opioid use. Second, among pregnant women with OUD, we used logistic regression to measure disparities in receipt of MOUD by family sociodemographic characteristics including interactions between characteristics. Results: Our cohort from Medicaid-covered deliveries consisted of 314,965 mother-infant dyads, and 4.2 percent were exposed to opioids through maternal use. Among dyads with maternal OUD, MOUD receipt was associated with lower rates of preterm and very preterm birth. Logistic regression adjusted for family sociodemographic characteristics showed that pregnant women with OUD in rural versus urban areas (aOR: 0.66; 95% CI: 0.60-0.72) and who were aged ≥35 years versus ≤25 years (aOR: 0.75; 95% CI: 0.64-0.89) were less likely to have received MOUD. Families in which the mother's primary language was English (aOR: 2.47; 95% CI: 1.24-4.91) and paternity was recorded on the birth certificate (aOR: 1.30; 95% CI: 1.19-1.42) were more likely to have received MOUD. Regardless of high school degree attainment, non-Hispanic Black versus non-Hispanic White race was associated with lower likelihood of MOUD receipt. Hispanic race was associated with lower likelihood of MOUD receipt among women without a high school degree. Conclusions: Among a large cohort of pregnant women, we found disparities in receipt of MOUD among non-Hispanic Black, Hispanic, and rural pregnant women. As policymakers consider strategies to improve access to MOUD, they should consider targeted approaches to address these disparities.

Well-being of Parents and Children During the COVID-19 Pandemic: A National Survey.

BACKGROUND: As the coronavirus disease pandemic spread across the United States and protective measures to mitigate its impact were enacted, parents and children experienced widespread disruptions in daily life. Our objective with this national survey was to determine how the pandemic and mitigation efforts affected the physical and emotional well-being of parents and children in the United States through early June 2020. METHODS: In June 2020, we conducted a national survey of parents with children age <18 to measure changes in health status, insurance status, food security, use of public food assistance resources, child care, and use of health care services since the pandemic began. RESULTS: Since March 2020, 27% of parents reported worsening mental health for themselves, and 14% reported worsening behavioral health for their children. The proportion of families with moderate or severe food insecurity increased from 6% before March 2020 to 8% after, employer-sponsored insurance coverage of children decreased from 63% to 60%, and 24% of parents reported a loss of regular child care. Worsening mental health for parents occurred alongside worsening behavioral health for children in nearly 1 in 10 families, among whom 48% reported loss of regular child care, 16% reported change in insurance status, and 11% reported worsening food security. CONCLUSIONS: The coronavirus disease pandemic has had a substantial tandem impact on parents and children in the United States. As policy makers consider additional measures to mitigate the health and economic effects of the pandemic, they should consider the unique needs of families with children.

Generic Drug Price Hikes And Out-Of-Pocket Spending For Medicare Beneficiaries.

Recent increases in prices of longtime generic drugs have focused attention on competition in generic markets. We used Medicare Part D data for the period 2006-15 to examine sudden large price increases in generic drugs in the context of their base prices, duration, and accompanying changes in patients' out-of-pocket spending. The fraction of drugs that at least doubled in price increased from 1.00 percent of generic products in 2007 to 4.39 percent in 2013. Almost all were initially low- or medium-price medications and not among the most widely used generics. Changes in out-of-pocket spending for these drugs were modest. However, the elevated prices persisted for two to five years. Data for 2011-15 showed similar trends. Potential steps to ensure that generic markets remain strong include fast-tracking new generic drug applications when competition is limited, allowing temporary importation of off-patent drugs, and implementing greater oversight of drug company mergers and takeovers.

Understanding and overcoming barriers to medication adherence: a review of research priorities.

Improving medication adherence has been identified as a crucial step towards improving health outcomes for patients with chronic disease and has provided the motivation for many changes in our health care system. Despite the volume of research done on this topic, however, we still lack important basic information about how to improve adherence in a cost-effective way. There is a need for a better understanding of what areas of research are most likely to produce advances that could be used by policymakers, providers, payers, or other stakeholders to generate real improvements in medication adherence. To address this, we developed a set of research priorities designed to improve understanding about whom to target for adherence interventions and which particular interventions to employ for specific subpopulations. To produce this research agenda, we synthesized information from the existing literature with a series of stakeholder interviews and expert panel meetings. We identified 6 key areas for research: (1) predicting nonadherence, (2) behavioral factors affecting nonadherence, (3) measuring the impact of nonadherence on health and cost outcomes, (4) effectiveness of existing interventions, (5) misaligned incentives between payers and providers, and (6) provider training and coordination of care. We provide detailed descriptions and example topics within each area.  As the health care system continues to embrace reforms designed to improve the value of care, more and better information is needed to guide efforts designed to improve medication adherence. Addressing the topic areas identified here will be an important step towards accomplishing this goal.