Contributions of Key Components of a Medical Home on Child Health Outcomes.

OBJECTIVES: The medical home model is a widely accepted model of team-based primary care. We examined five components of the medical home model in order to better understand their unique contributions to child health outcomes. METHODS: We analyzed data from the 2016-2017 National Survey of Children's Health (NSCH) to assess five key medical home components - usual source of care, personal doctor/nurse, family-centered care, referral access, and coordinated care - and their associations with child outcomes. Health outcomes included emergency department (ED) visits, unmet health care needs, preventive medical visits, preventive dental visits, health status, and oral health status. We used multivariate regression controlling for child characteristics including age, sex, primary household language, race/ethnicity, income, parental education, health insurance coverage, and special healthcare needs. RESULTS: Children who were not white, living in non-English households, with less family income or education, or who were uninsured had lower rates of access to a medical home and its components. A medical home was associated with beneficial child outcomes for all six of the outcomes and the family-centered care component was associated with better results in five outcomes. ED visits were less likely for children who received care coordination (aOR 0.81, CI 0.70-0.94). CONCLUSIONS FOR PRACTICE: Our study highlights the role of key components of the medical home and the importance of access to family-centered health care that provides needed coordination for children. Health care reforms should consider disparities in access to a medical home and specific components and the contributions of each component to provide quality primary care for all children.

Insurance-Based Discrimination Reports and Access to Care Among Nonelderly US Adults, 2011-2019.

Objectives. To report insurance-based discrimination rates for nonelderly adults with private, public, or no insurance between 2011 and 2019, a period marked by passage and implementation of the Affordable Care Act (ACA) and threats to it. Methods. We used 2011-2019 data from the biennial Minnesota Health Access Survey. Each year, about 4000 adults aged 18 to 64 years report experiences with insurance-based discrimination. Using logistic regressions, we examined associations between insurance-based discrimination and (1) sociodemographic factors and (2) indicators of access. Results. Insurance-based discrimination was stable over time and consistently related to insurance type: approximately 4% for adults with private insurance compared with adults with public insurance (21%) and no insurance (27%). Insurance-based discrimination persistently interfered with confidence in getting needed care and forgoing care. Conclusions. Policy changes from 2011 to 2019 affected access to health insurance, but high rates of insurance-based discrimination among adults with public insurance or no insurance were impervious to such changes. Public Health Implications. Stable rates of insurance-based discrimination during a time of increased access to health insurance via the ACA suggest deeper structural roots of health care inequities. We recommend several policy and system solutions. (Am J Public Health. 2023;113(2):213-223. https://doi.org/10.2105/AJPH.2022.307126).

The Future of State All-Payer Claims Databases.

State policy makers are under increasing pressure to address the prohibitive cost of health care given the lack of action at the federal level. In 2020, the United States spent more on health care than any other country in the world-$4.1 trillion, representing 19.7% of the nation's gross domestic product. States are trying to better understand their role in health care spending and to think creatively about strategies for addressing health care cost growth. One way they are doing this is through the development and use of state-based all-payer claims databases (APCDs). APCDs are health data organizations that hold transactional information from public (Medicare and Medicaid) and private health insurers (commercial plans and some self-insured employers). APCDs transform this data into useful information on health care costs and trends. This article describes states' use of APCDs and recent efforts that have provided benefits and challenges for states interested in this unique opportunity to inform health policy. Although challenges exist, there is new funding for state APCD improvements in the No Surprises Act, and potential new federal interest will help states enhance their APCD capacity so they can better understand their markets, educate consumers, and create actionable market information.

Primary Care Counseling of Parents Regarding Childhood Screen Media Use.

Parental beliefs and motivation are instrumental in improving childhood digital media use (DMU). Parents (n = 611) completed questionnaires about childhood DMU assessing knowledge, interest in counseling, motivation to change, self-efficacy, and beliefs. Less than a third correctly recognized screen time limits. Twenty-seven percent received childhood DMU information from a doctor, while 46% stated they would like such information. Only 2% had a doctor-recommended DMU plan. Interest in DMU topics, motivation to improve, and management self-efficacy were moderate. Top negative beliefs were addiction to DMU (52%), sleep problems (39%), obesity (33%), social skills (33%), and inappropriate content (32%). Differences between age categories existed for social (48%, P = .01) and language (14%, P = .01) concerns (highest for toddlers), attention concerns (27%, P = .02; highest in preschoolers), and depression (13%, P < .001) and low self-esteem (8%, P = .04; highest in teens). Findings support further development of approaches to address DMU, tailored by age-specific common parental views.