A Tale of Two States: Do Consumers See Mental Health Insurance Parity When Shopping on State Exchanges?
In Psychiatric Services, Kelsey Berry and colleagues, including Colleen Barry, present an analysis of parity compliance in how behavioral health benefits are presented to consumers shopping on health insurance exchanges established by the Affordable Care Act. All insurance plans sold on the exchanges are required to offer mental health and substance use disorder benefits in compliance with requirements of the Paul Wellstone and Pete Domenici Mental Health Parity and Addiction Equity Act of 2008 (MHPAEA). The researchers reviewed summaries of benefits documents available to...
In the Journal of Health Politics, Policy and Law, Mary Naylor and colleagues evaluate the strategies used by state governments to improve long-term services and supports (LTSS) for adults with disabilities and functionally impaired older adults. Three strategies have been most commonly pursued by state governments to improve LTSS: expanding noninstitutioal care, integrating payment and care delivery, and realigning incentives through market-based reforms. Naylor and colleagues evaluate these strategies based on nine dimensions, including: ease of access, quality of care/life,...
Cross-posted from The Children's Hospital of Philadelphia Research Institute
A new LDI/INQRI Brief tackles the complexities of assessing health care value and nursing’s contributions to value in terms of outcomes and costs. It highlights evidence published by researchers in the Interdisciplinary Nursing Quality Research Initiative (INQRI), an 8-year program funded by the Robert Wood Johnson Foundation.
Enhancing access to primary care is a key component of a patient-centered medical home (PCMH). But little is known about how PCMH status affects the availability of appointments for new patients.
In June, we described the first attempt to measure, in a consumer-friendly way, the breadth of physician networks offered by all silver plans on the 2014 health insurance marketplaces. We estimated network size based on the fraction of office-based physicians participating in the network within relevant rating areas in the state. We categorized networks using "T-shirt" sizes: x-small (less than 10%), small (10%-25%), medium (25%-40%), large (40%-60%), and x-large (more than 60%). We found that nationally, 41% of all networks were either “small” or “x-small”.