This joint publication between the UCLA Center for Health Policy Research, the UC Berkeley Center for Labor Research and Education and the California Pan-Ethnic Health Network examines likely enrollment in California's health care coverage expansion programs and finds that language barriers could deter more than 100,000 Californians from enrolling in the state's Health Benefit Exchange.
This joint publication between the UCLA Center for Health Policy Research, the UC Berkeley Center for Labor Research and Education and the California Pan-Ethnic Health Network examines likely enrollment in California's health care coverage expansion programs and finds that language barriers could deter more than 100,000 Californians from enrolling in the state's Health Benefit Exchange.
This policy note examines the potential implications of eliminating the minimum coverage requirement (MCR), or "individual mandate."
This policy note examines the potential implications of eliminating the minimum coverage requirement (MCR), or "individual mandate."
This joint publication of the Center for Labor Research and Education at the University of California, Berkeley and the UCLA CHPR looks at the ACA mandate to offer premium subsidies to help eligible individuals and their families purchase insurance coverage when affordable job-based coverage is not available.
This joint publication of the Center for Labor Research and Education at the University of California, Berkeley and the UCLA CHPR looks at the ACA mandate to offer premium subsidies to help eligible individuals and their families purchase insurance coverage when affordable job-based coverage is not available.
The strength of the evidence underpinning the association between nurse staffing and patient outcomes has been challenged because studies are typically cross-sectional in design, use hospital-level administrative data that imprecisely allocate staffing to individual patients, and do not account for differences in patients' requirements for nursing care.
The strength of the evidence underpinning the association between nurse staffing and patient outcomes has been challenged because studies are typically cross-sectional in design, use hospital-level administrative data that imprecisely allocate staffing to individual patients, and do not account for differences in patients' requirements for nursing care.