Receipt and duration of buprenorphine treatment during pregnancy and postpartum periods in a national privately-insured cohort.

Background: Research gaps exist on the use of medications for opioid use disorder (OUD) among birthing people. Methods: This retrospective cohort study included people who underwent childbirth deliveries during 2017-2020 and had a diagnosis of OUD identified from a national private insurance claims database. Buprenorphine prescriptions received during the year before childbirth and the year after childbirth were obtained from pharmacy claims. Logistic regressions were used to estimate associations between receipt of buprenorphine and individual and state-level factors. Results: Among a sample of 1,523 birthing people diagnosed with OUD, 540 (35.5 %) received buprenorphine during the pregnancy or postpartum periods. About half (51.5 %) of new recipients of buprenorphine received treatment for at least six months and, of those, one-third experienced a treatment interruption. The buprenorphine receipt rate differed significantly by race and ethnicity: 28.8 % of non-Hispanic Black birthing people with OUD and 22.8 % of Hispanic birthing people with OUD received buprenorphine treatment in contrast to 37.7 % of non-Hispanic white birthing people (aOR 0.53 [95 % CI 0.35-0.81] and 0.59 [95 % CI 0.37-0.96], respectively). The buprenorphine use rate increased over time from 29.7 % in 2017 to 42.9 % in 2020. Birthing people living in states with punitive policies related to substance use in pregnancy had the lowest buprenorphine use rate of 22.7 % as compared to 43.0 % in states with least restrictive policies. Conclusion: In this national sample of privately-insured individuals, by 2020, 42.9 % of birthing people with OUD received buprenorphine treatment. Treatment discontinuation and interruptions were common in the period surrounding childbirth.

Underinsurance Among Children With Special Health Care Needs in the United States.

Importance: A rise in pediatric underinsurance during the last decade among households with children with special health care needs (CSHCN) requires a better understanding of which households, by health care burden or income level, have been most impacted. Objective: To examine the prevalence of underinsurance across categories of child medical complexity and the variation in underinsurance within these categories across different levels of household income. Design, Setting, and Participants: This cross-sectional study used data from the National Survey of Children's Health and included 218 621 US children from 2016 to 2021. All children included did not reside in any type of institution (eg, correctional institutions, juvenile facilities, orphanages, long-term care facilities). Data were analyzed from January 2016 to December 2021. Exposures: The primary exposure is a categorization of child health care needs constructed using parent-reported child physical and behavioral health conditions, as well as the presence of functional limitations. Main Outcomes and Measures: The primary outcome variable is underinsurance, defined as absence of consistent or adequate health insurance. Models were adjusted for demographic and socioeconomic characteristics and stratified by household income. Multivariate logistic regression analysis of pooled cross-sectional survey data across multiple years (2016 to 2021) adjusted for complex survey design (weights). Results: In a total sample of 218 621 children who were not in institutions and were aged 0 to 17 years from 2016 to 2021 (105 478 [48.9%] female; 113 143 [51.1%] male; 13 571 [13.0%] non-Hispanic Black children; 149 706 [51.2%] non-Hispanic White children), underinsurance prevalence was higher among the children who had complex physical conditions (3316 [37.0%]), mental or behavioral conditions (5432 [38.1%]), or complex physical conditions and functional limitations (1407 [40.7%]) or mental or behavioral conditions with limitations (3442 [41.1%]), compared with healthy children (ie, children without special health care needs or limitations) (52 429 [31.2%]). The association between underinsurance and complexity of child health care needs varied by household income. In households earning 200% to 399% federal poverty level (FPL), underinsurance was associated with children having complex physical conditions and limitations (OR, 2.74; 95% CI, 2.13-3.51) and mental or behavioral conditions and limitations (OR, 2.21; 95% CI, 1.87-2.62), compared with healthy children. In households earning 400% or more above FPL, children's mental or behavioral conditions and limitations were associated with underinsurance (OR, 3.31; 95% CI, 2.82-3.88) compared with healthy children. Conclusions and relevance: In this cross-sectional study, the odds of being underinsured were not uniform among CSHCN. Both medical complexity and daily functional limitations led to increased odds of being underinsured. The concentration of underinsurance among middle-income households underpinned the challenge of health care financing for families of CSHCN whose incomes surpassed eligibility thresholds for dependent Medicaid insurance.

Employment and leave while parenting children with medical complexity.

INTRODUCTION: Children with medical complexity (CMC) require frequent medical care and are at risk of recurrent hospitalizations. The Family Medical Leave Act (FMLA) allows some workers to take unpaid leave from work to care for family members. This study examines caregiving obligations of parents of CMC, the availability and appropriateness of FMLA in facilitating their roles as caregivers and employees, and how these challenges affect employment and financial security. METHOD: Parents of CMC were recruited from a primary care pediatric care management program for semistructured interviews. An integrated approach, using both deductive and inductive codes, was used to conduct a thematic analysis. RESULTS: All 16 respondents were female, with half working full-time, five working part-time, and three not employed at the time of participation. On average, their CMC experienced 1.8 hospitalizations in the prior 12 months. Parents described that caring for CMC required ongoing and unpredictable time commitments that conflicted with job duties and schedules. This conflict led to frequent employment changes that negatively impacted parents' eligibility for FMLA, their financial health, and their own well-being. Parents often described not having access to FMLA due to exhausting the allotted time, part-time status, insufficient tenure at their job, or the inability to take unpaid leave. Parents depended on informal workplace policies and relationships with supervisors to maintain employment, as well as personal and formal supports to care for CMC and their families' financial stability. DISCUSSION: Parents want and need to work in order to support their families and pay for the added expenses related to care for their CMC. Remaining active in the workforce requires that they have flexible schedules that accommodate their unpredictable and ongoing caregiving responsibilities. The eligibility criteria and unpaid nature of FMLA, however, make employment and financial stability elusive for caregivers of CMC. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Housing and asthma disparities.

The burden of asthma disproportionately affects minority and low-income communities, resulting in racial and socioeconomic disparities in asthma prevalence, asthma exacerbations, and asthma-related death. Social determinants of health are increasingly implicated as root causes of disparities, and healthy housing is perhaps the most critical social determinant in asthma health disparities. In many minority communities, poor housing conditions and value are a legacy of historical policies and practices imbued with structural racism, including redlining, displacement, and exclusionary zoning. As a result, poor-quality, substandard housing is a characteristic feature of many underrepresented minority communities. Consequently, structurally deficient housing stock cultivates home environments rife with indoor asthma triggers. In this review we consider the historical context of urban housing policies and practices and how these policies and practices have contributed to the substandard housing conditions for many minoritized children in the present day. We describe the impact of poor housing quality on asthma and interventions that have attempted to mitigate its influence on asthma symptoms and health care utilization. We discuss the need to promote asthma health equity by reinvesting in these neighborhoods and communities to provide healthy housing.

An Asthma Population Health Improvement Initiative for Children With Frequent Hospitalizations.

OBJECTIVES: A relatively small proportion of children with asthma account for an outsized proportion of health care use. Our goal was to use quality improvement methodology to reduce repeat emergency department (ED) and inpatient care for patients with frequent asthma-related hospitalization. METHODS: Children ages 2 to 17 with ≥3 asthma-related hospitalizations in the previous year who received primary care at 3 in-network clinics were eligible to receive a bundle of 4 services including (1) a high-risk asthma screener and tailored education, (2) referral to a clinic-based asthma community health worker program, (3) facilitated discharge medication filling, and (4) expedited follow-up with an allergy or pulmonology specialist. Statistical process control charts were used to estimate the impact of the intervention on monthly 30-day revisits to the ED or hospital. We then conducted a difference-in-differences analysis to compare changes between those receiving the intervention and a contemporaneous comparison group. RESULTS: From May 1, 2016, to April 30, 2017, we enrolled 79 patients in the intervention, and 128 patients constituted the control group. Among the eligible population, the average monthly proportion of children experiencing a revisit to the ED and hospital within 30 days declined by 38%, from a historical baseline of 24% to 15%. Difference-in-differences analysis demonstrated 11.0 fewer 30-day revisits per 100 patients per month among intervention recipients relative to controls (95% confidence interval: -20.2 to -1.8; P = .02). CONCLUSIONS: A multidisciplinary quality improvement intervention reduced health care use in a high-risk asthma population, which was confirmed by using quasi-experimental methodology. In this study, we provide a framework to analyze broader interventions targeted to frequently hospitalized populations.

Association of a Targeted Population Health Management Intervention with Hospital Admissions and Bed-Days for Medicaid-Enrolled Children.

Importance: As the proportion of children with Medicaid coverage increases, many pediatric health systems are searching for effective strategies to improve management of this high-risk population and reduce the need for inpatient resources. Objective: To estimate the association of a targeted population health management intervention for children eligible for Medicaid with changes in monthly hospital admissions and bed-days. Design, Setting, and Participants: This quality improvement study, using difference-in-differences analysis, deployed integrated team interventions in an academic pediatric health system with 31 in-network primary care practices among children enrolled in Medicaid who received care at the health system's hospital and primary care practices. Data were collected from January 2014 to June 2017. Data analysis took place from January 2018 to June 2019. Exposures: Targeted deployment of integrated team interventions, each including electronic medical record registry development and reporting alongside a common longitudinal quality improvement framework to distribute workflow among interdisciplinary clinicians and community health workers. Main Outcomes and Measures: Trends in monthly inpatient admissions and bed-days (per 1000 beneficiaries) during the preimplementation period (ie, January 1, 2014, to June 30, 2015) compared with the postimplementation period (ie, July 1, 2015, to June 30, 2017). Results: Of 25 460 children admitted to the hospital's health system during the study period, 8418 (33.1%) (3869 [46.0%] girls; 3308 [39.3%] aged ≤1 year; 5694 [67.6%] black) were from in-network practices, and 17 042 (67.9%) (7779 [45.7%] girls; 6031 [35.4%] aged ≤1 year; 7167 [41.2%] black) were from out-of-network practices. Compared with out-of-network patients, in-network patients experienced a decrease of 0.39 (95% CI, 0.10-0.68) monthly admissions per 1000 beneficiaries (P = .009) and 2.20 (95% CI, 0.90-3.49) monthly bed-days per 1000 beneficiaries (P = .001). Accounting for disproportionate growth in the number of children with medical complexity who were in-network to the health system, this group experienced a monthly decrease in admissions of 0.54 (95% CI, 0.13-0.95) per 1000 beneficiaries (P = .01) and in bed-days of 3.25 (95% CI, 1.46-5.04) per 1000 beneficiaries (P = .001) compared with out-of-network patients. Annualized, these differences could translate to a reduction of 3600 bed-days for a population of 93 000 children eligible for Medicaid. Conclusions and Relevance: In this quality improvement study, a population health management approach providing targeted integrated care team interventions for children with medical and social complexity being cared for in a primary care network was associated with a reduction in service utilization compared with an out-of-network comparison group. Standardizing the work of care teams with quality improvement methods and integrated information technology tools may provide a scalable strategy for health systems to mitigate risk from a growing population of children who are eligible for Medicaid.

Families With TRICARE Report Lower Health Care Quality And Access Compared To Other Insured And Uninsured Families.

Children in military families, who receive health insurance through the TRICARE program, face barriers to care such as frequent relocations, unique behavioral health needs, increased complex health care needs, and lack of accessible specialty care. How TRICARE-insured families perceive health care access and quality for their children compared to their civilian peers' perceptions remains unknown. Using data from the Medical Expenditure Panel Survey, we found that TRICARE-insured families were less likely to report accessible or responsive care compared to civilian peers, whether commercially or publicly insured or uninsured. Military families whose children had complex health or behavioral health care needs reported worse health care access and quality than similar nonmilitary families. Addressing these gaps may require military leaders to examine barriers to achieving acceptable health care access across military treatment facilities and off-base nonmilitary specialty providers, particularly for children with complex health or behavioral health needs.

Growth Of Public Coverage Among Working Families In The Private Sector.

Working families have increasingly enrolled their children in Medicaid or the Children's Health Insurance Program in recent years. Parents' place of employment affects the availability and cost of family health insurance, making it a determinant of pediatric public insurance enrollment. We examined that enrollment in the period 2008-16 in families working full time and earning more than 100 percent of the federal poverty level at three types of employers. Among low-income families (100-199 percent of poverty), children's public health insurance coverage was highest for those with parents employed at small private firms, increasing from 53 percent to 79 percent, while the public insurance coverage rate also increased among children with parents working for large private firms (from 45 percent to 69 percent). Among moderate-income families (200-299 percent of poverty) working at small private firms, public coverage increased from 21 percent to 64 percent. Increases in the number of working families with pediatric public insurance were driven by employees of large private firms. Maintaining high pediatric insurance coverage rates will require policies that recognize the changing role of public insurance for working families as the cost of employer-based coverage grows.

Determining Food-Insecure Families' Resource Access with Health System and Public Data.

Families' access to local food-insecurity (FI) resources differs. This study examines how health system and public data may be combined to identify limitations in community resources designed to address FI. We conducted a retrospective cohort study using electronic health record (EHR) data from nine practices that screened families for FI. Electronic health record data included demographic and clinical characteristics. Publicly available data included local socioeconomic and food resource information. We calculated the distance from each household to the nearest food pantry and determined the percentage of families who might have difficulty accessing resources. We demonstrate how health systems could merge these data sources to map where food-insecure families live, describe families' access to local resources, and identify regions where gaps in services exist. Health systems could use this approach to support households with FI and advocate for additional services in areas lacking resources in order to target population health efforts.

Inaccuracies in the 2020 Census Enumeration Could Create a Misalignment Between States' Needs.

As the most accurate reflection of the United States population, the US decennial census is vital to health policymakers and others at all levels of government. Competing priorities related to cost containment and the introduction of new reforms raise concerns about the resources available to the US Census Bureau to conduct an accurate population enumeration in 2020. We examined the state of the Census Bureau's preparations for the 2020 Census and how inaccuracies in the coming census enumeration could influence public health and health equity in the coming decade. The results of the 2020 Census will be used to allocate trillions of dollars in federal funding to states, including support for programs vital to public health such as Medicaid and the Special Supplemental Nutrition Program for Women, Infants, and Children. Inaccuracies in the census enumeration could create a misalignment between states' needs and allocation of federal resources. Also, a census miscount of the population could create challenges for public health surveillance and research activities that inform public health policies and interventions.

Family Characteristics Associated With Child Maltreatment Across the Deployment Cycle of U.S. Army Soldiers.

OBJECTIVE: Soldier deployment can create a stressful environment for U.S. Army families with young children. Prior research has identified elevated rates of child maltreatment in the 6 months immediately following a soldier's return home from deployment. In this study, we longitudinally examine how other child- and family-level characteristics influence the relationship of deployment to risk for maltreatment of dependent children of U.S. Army soldiers. METHODS: We conducted a person-time analysis of substantiated reports and medical diagnoses of maltreatment among the 73,404 children of 56,087 U.S. Army soldiers with a single deployment between 2001 and 2007. Cox proportional hazard models estimated hazard rates of maltreatment across deployment periods and simultaneously considered main effects for other child- and family-level characteristics across periods. RESULTS: In adjusted models, maltreatment hazard was highest in the 6 months following deployment (hazard ratio [HR] = 1.63, p < 0.001). Children born prematurely or with early special needs independently had an increased risk for maltreatment across all periods (HR = 2.02, p < 0.001), as well as those children whose soldier-parent had been previously diagnosed with a mental illness (HR = 1.68, p < 0.001). In models testing for effect modification, during the 6 months before deployment, children of female soldiers (HR = 2.22, p = 0.006) as well as children of soldiers with a mental health diagnosis (HR = 2.78, p = 0.001) were more likely to experience maltreatment, exceeding the risk at all other periods. CONCLUSIONS: Infants and children are at increased risk for maltreatment in the 6 months following a parent's deployment, even after accounting for other known family- and child-level risk factors. However, the risk does not appear to be the same for all soldiers and their families in relation to deployment, particularly for female soldiers and those who had previously diagnosed mental health issues, for whom the risk appears most elevated before deployment. Accounting for the unique needs of high-risk families at different stages of a soldier's deployment cycle may allow the U.S. Army to better direct resources that prevent and address child maltreatment.

Under-ascertainment from healthcare settings of child abuse events among children of soldiers by the U.S. Army Family Advocacy Program.

In cases of maltreatment involving children of U.S. Army service members, the U.S. Army Family Advocacy Program (FAP) is responsible for providing services to families and ensuring child safety. The percentage of cases of maltreatment that are known to FAP, however, is uncertain. Thus, the objective of this retrospective study was to estimate the percentage of U.S. Army dependent children with child maltreatment as diagnosed by a military or civilian medical provider who had a substantiated report with FAP from 2004 to 2007. Medical claims data were used to identify 0-17year old child dependents of soldiers who received a medical diagnosis of child maltreatment. Linkage rates of maltreatment medical diagnoses with corresponding substantiated FAP reports were calculated. Bivariate and multivariable analyses examined the association of child, maltreatment episode, and soldier characteristics with linkage to substantiated FAP reports. Across 5945 medically diagnosed maltreatment episodes, 20.3% had a substantiated FAP report. Adjusting for covariates, the predicted probability of linkage to a substantiated FAP report was higher for physical abuse than for sexual abuse, 25.8%, 95% CI (23.4, 28.3) versus 14.5%, 95% CI (11.2, 17.9). Episodes in which early care was provided at civilian treatment facilities were less likely to have a FAP report than those treated at military facilities, 9.8%, 95% CI (7.3, 12.2) versus 23.6%, 95% CI (20.8, 26.4). The observed low rates of linkage of medically diagnosed child maltreatment to substantiated FAP reports may signal the need for further regulation of FAP reporting requirements, particularly for children treated at civilian facilities.

Low-Income Working Families With Employer-Sponsored Insurance Turn To Public Insurance For Their Children.

Many families rely on employer-sponsored health insurance for their children. However, the rise in the cost of such insurance has outpaced growth in family income, potentially making public insurance (Medicaid or the Children's Health Insurance Plan) an attractive alternative for affordable dependent coverage. Using data for 2008-13 from the Medical Expenditure Panel Survey, we quantified the coverage rates for children from low- or moderate-income households in which a parent was offered employer-sponsored insurance. Among families in which parents were covered by such insurance, the proportion of children without employer-sponsored coverage increased from 22.5 percent in 2008 to 25.0 percent in 2013. The percentage of children with public insurance when a parent was covered by employer-sponsored insurance increased from 12.1 percent in 2008 to 15.2 percent in 2013. This trend was most pronounced for families with incomes of 100-199 percent of the federal poverty level, for whom the share of children with public insurance increased from 22.8 percent to 29.9 percent. Among families with incomes of 200-299 percent of poverty, uninsurance rates for children increased from 6.0 percent to 9.2 percent. These findings suggest a movement away from employer-sponsored insurance and toward public insurance for children in low-income families, and growth in uninsurance among children in moderate-income families.

Differential Child Maltreatment Risk Across Deployment Periods of US Army Soldiers.

OBJECTIVES: We described the risk for maltreatment among toddlers of US Army soldiers over different deployment cycles to develop a systematic response within the US Army to provide families appropriate supports. METHODS: We conducted a person-time analysis of substantiated maltreatment reports and medical diagnoses among children of 112,325 deployed US Army soldiers between 2001 and 2007. RESULTS: Risk of maltreatment was elevated after deployment for children of soldiers deployed once but not for children of soldiers deployed twice. During the 6 months after deployment, children of soldiers deployed once had 4.43 substantiated maltreatment reports and 4.96 medical diagnoses per 10,000 child-months. The highest maltreatment rate among children of soldiers deployed twice occurred during the second deployment for substantiated maltreatment (4.83 episodes per 10,000 child-months) and before the first deployment for medical diagnoses of maltreatment (3.78 episodes per 10,000 child-months). CONCLUSIONS: We confirmed an elevated risk for child maltreatment during deployment but also found a previously unidentified high-risk period during the 6 months following deployment, indicating elevated stress within families of deployed and returning soldiers. These findings can inform efforts by the military to initiate and standardize support and preparation to families during periods of elevated risk.