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The state of Connecticut is considering a number of policy options to improve health insurance affordability, access, and equity. To create policies designed to increase insurance coverage and access to care in underserved communities and reduce racial and ethnic disparities, state policymakers need an accurate picture of the current distributions of insurance enrollment across these dimensions. The authors combine data from the American Community Survey Public Use Microdata Sample, which includes demographic characteristics, as well as insurance status, with various data sources from the state to provide a fuller picture of insurance enrollment among those under the age of 65 in Connecticut. They also use existing high-level estimates of 2020 insurance enrollment to provide estimates of how enrollment in the state was affected during the early months of the pandemic. The authors find that insurance enrollment in Connecticut in 2019 was generally high but that there were substantial differences in insurance coverage by race and ethnicity. Asian individuals had the highest rates of employer-sponsored insurance coverage, and Black individuals had the highest rates of Medicaid coverage. Hispanic individuals had a higher rate of Medicaid coverage than non-Hispanic individuals. High-level estimates of changes in insurance coverage during the early months of the COVID-19 pandemic suggest that uninsurance decreased slightly, Medicaid coverage increased, and private insurance coverage fell. This report provides the state of Connecticut with estimates of enrollment in detailed health insurance categories by age, gender, race, and ethnicity and highlights the need for better, more-detailed health insurance enrollment data.
The National Governors' Association (NGA) presents the Connecticut state summary of the State Children's Health Insurance Program (SCHIP). The central objective of SCHIP is to improve children's health status and reduce health disparities. The summary discusses the Connecticut program, called HUSKY Plan, including eligibility levels, benefits, service delivery, the source of state match, and cost sharing.
The Model Rules of Professional Conduct provides an up-to-date resource for information on legal ethics. Federal, state and local courts in all jurisdictions look to the Rules for guidance in solving lawyer malpractice cases, disciplinary actions, disqualification issues, sanctions questions and much more. In this volume, black-letter Rules of Professional Conduct are followed by numbered Comments that explain each Rule's purpose and provide suggestions for its practical application. The Rules will help you identify proper conduct in a variety of given situations, review those instances where discretionary action is possible, and define the nature of the relationship between you and your clients, colleagues and the courts.
Policymakers in Connecticut are considering various state-funded policy options to improve insurance coverage among undocumented and legally present recent immigrants in the state-almost 60 percent of whom lack health insurance. In particular, they are removing immigration status requirements from Medicaid eligibility. They are also considering whether to provide state-funded subsidies to undocumented immigrants enrolled in individual market plans. A key challenge for this analysis was determining what share of undocumented immigrants would be likely to take up insurance coverage if it were available to them. Because few states have expanded coverage to their undocumented populations and because the denominator is uncertain, estimates of take-up rates are highly uncertain. There is similar uncertainty in estimating how much health care undocumented populations will use once they become insured. To address these uncertainties, the authors conducted sensitivity analyses that varied both the take-up and utilization rates. Using the RAND Corporation's COMPARE microsimulation model, the authors estimate the impacts of each policy scenario on enrollment, premiums, state spending, and hospital spending on uncompensated care. Their analysis suggests that removing immigration status requirements for Medicaid and individual market subsidy eligibility would decrease uninsurance among the undocumented and legally present recent immigrant populations by 32 to 37 percent and could improve insurance coverage and affordability in Connecticut for these populations while not substantially impacting other Connecticut residents.