Background

Uninsurance for young adults (YAs) was greatly reduced by the Affordable Care Act (ACA). However, reforms may not be equally beneficial for all YAs and certain policies may exacerbate, rather than resolve, pre-existing disparities.

Objective

To investigate inequalities in YAs' insurance coverage pre- (2000-2010) and post-federal health reforms (dependent coverage expansion, 2010-2013, and Medicaid/Marketplace expansions, 2014-2016), among a nationally representative sample.

Design

A difference-in-differences estimator (controlling for sociodemographics) was used to determine the effects of the ACA for young adults (ages 19-25) compared to adolescents (ages 13-18) and older YA (ages 26-30) counterparts; triple-difference estimators quantified differential policy effects by sociodemographics.

Participants

Three hundred eighty-seven thousand six hundred thirty-five participants in the 2000-2016 National Health Interview Survey.

Main measures

Respondents reported their health insurance coverage types during the last 12 months, reasons uninsured, and detailed sociodemographics.

Key results

An adjusted difference-in-differences estimator quantified a 12.3 percentage point increase (p < 0.0001) in full-year coverage post-ACA for YAs compared to older counterparts, driven by increases in employer-sponsored private insurance while younger and older youth saw larger gains in Medicaid coverage. Triple-difference estimators identified subgroups experiencing less beneficial dependent coverage expansion effects, including females, lower socioeconomic status, non-citizens, non-English speakers, and several racial/ethnic minority groups. Later ACA reforms (Marketplace/Medicaid expansions) mitigated many of these widening disparities.

Conclusion

While the ACA significantly impacted YA insurance coverage, these gains were not of equal magnitude for all YAs and disparities remain. As such, more work needs to be done to ensure optimal and equitable access to high-quality, affordable insurance for all YAs.

Purpose of review

Behavioral economics (BE) concepts have become well studied tools in addressing patient issues, such as weight loss, smoking cessation, and medication adherence. Although predominantly studied in adult populations, emerging literature has shown BE's utility for adolescent/young adult (AYA) populations, offering a practical framework to safeguard AYA health and influence healthy decision making.

Recent findings

We identified substantive areas in which BE concepts have been applied in AYA populations (e.g., substance use) and outline how these concepts have been used as a tool to identify individuals at risk for poor outcomes and to leverage behavioral insights to improve health behaviors.

Summary

BE research holds significant promise as a tool for clinicians and researchers to encourage healthy decision making in AYA populations. Yet, there are opportunities for BE research to expand further into current trends impacting adolescent health, such as electronic nicotine delivery systems, social media apps, and coronavirus disease 2019 vaccinations. Furthermore, the full degree of BE utility remains to be explored, as few studies demonstrate the translation of associative findings into direct interventions. Additional work is needed to formalize BE techniques into best practices that clinicians can implement in their daily practice.

Background

In response to the COVID-19 pandemic and associated adoption of scarce resource allocation (SRA) policies, we sought to rapidly deploy a novel survey to ascertain community values and preferences for SRA and to test the utility of a brief intervention to improve knowledge of and values alignment with a new SRA policy. Given social distancing and precipitous evolution of the pandemic, Internet-enabled recruitment was deemed the best method to engage a community-based sample. We quantify the efficiency and acceptability of this Internet-based recruitment for engaging a trial cohort and describe the approach used for implementing a health-related trial entirely online using off-the-shelf tools.

Methods

We recruited 1971 adult participants (≥ 18 years) via engagement with community partners and organizations and outreach through direct and social media messaging. We quantified response rate and participant characteristics of our sample, examine sample representativeness, and evaluate potential non-response bias.

Results

Recruitment was similarly derived from direct referral from partner organizations and broader social media based outreach, with extremely low study entry from organic (non-invited) search activity. Of social media platforms, Facebook was the highest yield recruitment source. Bot activity was present but minimal and identifiable through meta-data and engagement behavior. Recruited participants differed from broader populations in terms of sex, ethnicity, and education, but had similar prevalence of chronic conditions. Retention was satisfactory, with entrance into the first follow-up survey for 61% of those invited.

Conclusions

We demonstrate that rapid recruitment into a longitudinal intervention trial via social media is feasible, efficient, and acceptable. Recruitment in conjunction with community partners representing target populations, and with outreach across multiple platforms, is recommended to optimize sample size and diversity. Trial implementation, engagement tracking, and retention are feasible with off-the-shelf tools using preexisting platforms.

Trial registration

ClinicalTrials.gov NCT04373135 . Registered on May 4, 2020.

Introduction

Insulin pumps and continuous glucose monitors (CGM) have many benefits in the management of type 1 diabetes. Unfortunately disparities in technology access occur in groups with increased risk for adverse effects (eg, low socioeconomic status [SES], public insurance).

Research design & methods

Using 2015 to 2016 data from 4,895 participants from the T1D Exchange Registry, a structural equation model (SEM) was fit to explore the hypothesized direct and indirect relationships between SES, insurance features, access to diabetes technology, and adverse clinical outcomes (diabetic ketoacidosis, hypoglycemia). SEM was estimated using the maximum likelihood method and standardized path coefficients are presented.

Results

Higher SES and more generous insurance coverage were directly associated with CGM use (β = 1.52, SE = 0.12, P < .0001 and β = 1.21, SE = 0.14, P < .0001, respectively). Though SES displayed a small inverse association with pump use (β = -0.11, SE = 0.04, P = .0097), more generous insurance coverage displayed a stronger direct association with pump use (β = 0.88, SE = 0.10, P < .0001). CGM use and pump use were both directly associated with fewer adverse outcomes (β = -0.23, SE = 0.06, P = .0002 and β = -0.15, SE = 0.04, P = .0002, respectively). Both SES and insurance coverage demonstrated significant indirect effects on adverse outcomes that operated through access to diabetes technology (β = -0.33, SE = 0.09, P = .0002 and β = -0.40, SE = 0.09, P < .0001, respectively).

Conclusions

The association between SES and insurance coverage and adverse outcomes was primarily mediated through diabetes technology use, suggesting that disparities in diabetes outcomes have the potential to be mitigated by addressing the upstream disparities in technology use.

Purpose

While education-based disparities in health are common, the extent to which chronic conditions contribute to education gaps and to consequent health disparities is not fully understood. As such, we sought to investigate educational aspirations, expectations, and attainment among youth with and without chronic conditions and to determine if these relationships mediated subsequent disparities in health and well-being.

Methods

Longitudinal data on 3,518 youths are from the 1997-2013 Panel Study of Income Dynamics, a population-based survey. Multivariate regression was used to assess disparities in educational aspirations, expectations, and attainment by chronic conditions and the subsequent effects on health and well-being, adjusting for important potential confounders.

Results

Youth with chronic medical conditions (YCMCs) did not report significantly lower educational aspirations than their healthy peers; however, YCMC reported lower expectations for their educational attainment and fewer YCMC had earned their desired degree by the end of follow-up (e.g., ≥bachelor's degree: 19.9% for YCMC vs. 26.0% for peers, p < .05). YCMC reported significantly worse general health, lower life satisfaction, and lower psychological well-being in young adulthood than did their healthy peers. These disparities persisted after adjustment for confounders; the association between chronic disease and health was partially, but significantly, mediated by actual educational attainment.

Conclusions

Findings suggest an important risk mechanism through which YCMC may acquire socioeconomic disadvantage as they develop and progress through educational settings. Disproportionate lags in education, from expectation to attainment, may in turn increase YCMC's susceptibility to poor health and well-being in the future.

Importance

The Affordable Care Act (ACA) sought to improve access and affordability of health insurance. Although most ACA policies targeted childless adults, the extent to which these policies also impacted families with children remains unclear.

Objective

To examine changes in health care-related financial burden for US families with children before and after the ACA was implemented based on income eligibility for ACA policies.

Design, setting, and participants

Data used for this cohort study were obtained from the 2000-2017 Medical Expenditure Panel Survey, a nationally representative, population-based survey. Multivariable regression with a difference-in-differences estimator was used to examine changes in family financial burden before and after ACA implementation according to income-based ACA eligibility groups (≤138% [lowest-income], 139%-250% [low-income], 251%-400% [middle-income], and >400% [high-income] federal poverty level). The cohort included 92 165 families with 1 or more children (age ≤18 years) and 1 or more adult parents/guardians.

Exposures

Income-based eligibility groups during post-ACA years (calendar years 2014-2017) vs pre-ACA years (calendar years 2000-2013).

Main outcomes and measures

Family annual out-of-pocket (OOP) health care and premium cost burden relative to income. High OOP burden was determined based on a previously validated algorithm with relative cost thresholds that vary across incomes, and extreme OOP burden was defined as costs exceeding 10% of income. Premiums exceeding 9.5% of income were classified as burdensome and premiums relative to median household income defined an unaffordability index.

Results

Compared with high-income families who experienced a lesser change post-ACA implementation (high OOP burden, 1.1% pre-ACA vs 0.9% post-ACA), the lowest-income families saw the greatest reduction in high OOP burden (35.6% pre-ACA vs 23.7% post-ACA; difference-in-differences: -11.4%; 95% CI, -13.2% to -9.5%) followed by low-income families (24.6% pre-ACA vs 17.3% post-ACA, difference-in-differences: -6.8%; 95% CI, -8.7% to -4.9%) and middle-income families (6.1% pre-ACA vs 4.6% post-ACA, difference-in-differences: -1.2%; 95% CI, -2.3% to -0.01%). Although premiums rose for all groups, premium unaffordability was the least exacerbated for the lowest-, low-, and middle-income families compared with higher-income families.

Conclusions and relevance

The findings of this study suggest that low- and middle-income families with children who were eligible for ACA Medicaid expansions and Marketplace subsidies experienced greater reductions in health care-related financial burden after the ACA was implemented compared with families with higher incomes. However, despite ACA policies, many low- and middle-income families with children appear to continue to face considerable financial burden from premiums and OOP costs.

Introduction

Adolescence and emergent adulthood are periods of peak prevalence for substance use that pose risks for short- and long-term health harm, particularly for youth with chronic medical conditions (YCMC) who are transitioning from adolescence to adulthood. As there have been no nationally representative studies of substance use during this period for these medically vulnerable youth, the authors sought to examine onset and intensification of these behaviors for a national sample of youth with and without chronic conditions.

Methods

Longitudinal data are from 2,719 youth between the ages of 12 and 26 years interviewed from 2002 to 2011 for the Panel Study of Income Dynamics, Child Development and Transition to Adulthood Supplements, a nationally representative, population-based survey. Multivariate generalized linear mixed models were used to estimate patterns of alcohol, tobacco, and marijuana use during adolescence and emergent adulthood for youth with and without chronic conditions, adjusting for potential confounders.

Results

Overall, 68.8%, 44.3%, and 47.8% of youth reported ever trying alcohol, tobacco, and marijuana, respectively. Among users, 42.2%, 73.4%, and 50.3% of youth reported binge drinking, regular cigarette use, and recent marijuana use, respectively. YCMC were more likely to engage in any and heavier substance use; transition years and early adulthood were periods of peak risk for YCMC compared with their healthy peers.

Conclusions

Substance use among YCMC during adolescence and emergent adulthood is a substantial concern. Increased prevention and case detection are in order to address these behaviors and promote optimal health outcomes for medically vulnerable youth.

Objective

First, we sought to determine if parents of children with cancer or a brain tumor had greater stress compared to parents of healthy children and to evaluate the correlates of stress among parents of children with cancer or brain tumors. Second, we sought to examine the relationship between perceived stress and symptoms of stress and how that relationship may differ for parents of children with cancer.

Methods

In-person, interviewer-assisted surveys were administered to 73 case dyads (children with cancer or a brain tumor and their parents) and 133 comparison dyads (children without health problems and their parents from a community sample). Descriptive analyses and multivariable logistic regressions were performed for case-comparison and case-only analyses to distinguish correlates of parental stress.

Results

Parents of children with cancer exhibited higher levels of physiological symptoms of stress than parents of healthy children. Poor sleep quality and greater social stress (negative social interactions) were significant correlates of increased levels of stress in parents of children with cancer (odds ratio 4.23, 95% confidence interval 1.15-15.60; and odds ratio 1.07, 95% confidence interval 1.00-1.14, respectively). A subset of parents reported symptoms of stress but not perceived stress, and this discordance was more pronounced among cancer caregivers.

Conclusions

Implementation of screening tools that include symptoms of stress may help clinicians to comprehensively identify parents of children with cancer who are in need of additional services. Targeted stress-reduction interventions that address sleep quality and negative social interactions may mitigate the deleterious effects of caregiving, improving the psychosocial well-being of both parents and children with cancer.

Range of motion after total hip arthroplasty is becoming an important topic as today's patients present at a younger age and are more active. An effective study design to carry out comparisons of clinical performance between two implants should eliminate patient-related extraneous variables (e.g., age, gender, activity level, among others). The aim of the present study was to compare the range of motion results achieved postoperatively between metalon-metal hip resurfacing (HR) and conventional total hip arthroplasty (THA) in a cohort of bilateral patients implanted with both designs. Thirty-five patients who had undergone bilateral surgery with one hip receiving an HR device and the contralateral hip receiving a THA were retrospectively selected. Sixty-nine percent of the patients were male, and at the time of implantation of the resurfacing device the mean age of the patients was 53 years. The mean follow-up time was 88 months for the hips treated with HR and 96 months for the hips that received a THA. We found no difference in any of the range of motion measurements between HR and THA even after separating the cohort into two groups based on the femoral head size of the THA (femoral heads under 40 mm and femoral heads greater or equal to 40 mm). Our investigation showed that, for most patients, prosthetic design is unlikely to be a limiting factor of range of motion after surgery provided that the positioning of the acetabular component is adequate.