Nationally, most people who use acupuncture do not receive a full treatment course. Considering evidence of effectiveness, low risk and relatively low cost of delivery, acupuncture could play a larger role in non-pharmaceutical treatment of common conditions such as pain. Policymakers should consider that, without insurance benefits for acupuncture, people are less likely to complete a full treatment course, which may contribute to disparities in use and health outcomes.

Background: Relapsing-onset multiple sclerosis (MS) typically starts in early- to mid-adulthood, yet the trajectory of disease activity over the subsequent lifetime remains poorly defined. Previous studies have not quantified the age-specific portion of decreases in annualized relapse rates (ARR). Objective: The aim of this article is to determine, under a range of disease-related assumptions, the age-specific component of decreases in ARR over time among adults with relapsing-onset MS. Methods: We used a simulation modeling approach to examine a range of assumptions about changes in ARR due to age versus disability status. Scenarios included variations in initial ARR and rate of worsening on the Expanded Disability Status Scale. Model parameters were developed through analysis of MS patients in British Columbia, Canada, and literature review. Results: We found a substantial age-specific decrease in ARR in all simulated scenarios, independent of disability worsening. Under a range of clinically plausible assumptions, 88%–97% of the decrease was attributed to age and 3%–13% to disability. The age-specific decrease ranged from 22% to 37% per 5 years for a wide range of initial ARR (0.33–1.0). Conclusion: Decreases in ARR were due mostly to age rather than disability status. To facilitate informed decision making in MS, it is important to quantify the dynamic relationship between relapses and age.

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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 U.S. spent more on health care than any other country in the world—$4.1 trillion, representing 19.7% of the Gross Domestic Product (GDP). States are trying to better understand their role in health care spending and to think creatively about strategies to address 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) and transform this data to useful information on health care costs and trends. This paper describes the use of APCDs by states and recent efforts that have provided opportunities and challenges for states interested in this unique opportunity to inform health policy. While 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 to better understand their markets, educate consumers and create actionable market information.

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