Tobacco Retail Sales in Massachusetts and New Hampshire Before and After Massachusetts' Flavored Tobacco Restriction.

In June 2020, Massachusetts became the first state to implement a comprehensive flavored tobacco restriction. One concern was that Massachusetts residents would travel to New Hampshire to purchase restricted products. This article assesses tobacco sales in both states post-law implementation.

Evaluation of a Statewide Flavored Tobacco Restriction on Use, Access, and Cessation Among Black and White Tobacco Users in Massachusetts.

Purpose: To evaluate the impact of a statewide flavored tobacco restriction among Massachusetts residents who use menthol or flavored tobacco and to assess differences in impact between Black and White users, as the tobacco industry has targeted menthol to Black users.

Design: An online survey was distributed through a panel provider and household mailings.

Setting: Eleven Massachusetts communities with higher-than-state-average Black, Indigenous or People of Color populations.

Impact of Massachusetts' Statewide Sales Restriction on Flavored and Menthol Tobacco Products on Tobacco Sales in Massachusetts and Surrounding States, June 2020.

In June 2020, Massachusetts implemented a first in the nation statewide law that restricts sales of menthol and other flavored tobacco. Since implementation, sales data indicate high retailer compliance. Drastic decreases were seen in sales of all flavored tobacco.

Generalizability of Cardiovascular Disease Clinical Prediction Models: 158 Independent External Validations of 104 Unique Models.

Background: While clinical prediction models (CPMs) are used increasingly commonly to guide patient care, the performance and clinical utility of these CPMs in new patient cohorts is poorly understood.

Methods: We performed 158 external validations of 104 unique CPMs across 3 domains of cardiovascular disease (primary prevention, acute coronary syndrome, and heart failure). Validations were performed in publicly available clinical trial cohorts and model performance was assessed using measures of discrimination, calibration, and net benefit.

External Validations of Cardiovascular Clinical Prediction Models: A Large-Scale Review of the Literature.

Background: There are many clinical prediction models (CPMs) available to inform treatment decisions for patients with cardiovascular disease. However, the extent to which they have been externally tested, and how well they generally perform has not been broadly evaluated.

Methods: A SCOPUS citation search was run on March 22, 2017 to identify external validations of cardiovascular CPMs in the Tufts Predictive Analytics and Comparative Effectiveness CPM Registry.

Clinical Predictive Models of Sudden Cardiac Arrest: A Survey of the Current Science and Analysis of Model Performances.

Background More than 500 000 sudden cardiac arrests (SCAs) occur annually in the United States. Clinical predictive models (CPMs) may be helpful tools to differentiate between patients who are likely to survive or have good neurologic recovery and those who are not. However, which CPMs are most reliable for discriminating between outcomes in SCA is not known.

Educating the Scientific Workforce on Sex and Gender Considerations in Research: A National Scan of the Literature and Building Interdisciplinary Research Careers in Women's Health Programs.

This study was a national scan of education resources on integrating sex and gender considerations into research. The purpose was to assess capacity for educating researchers and to identify gaps, with implications for implementation of guidelines or mandates to consider sex and gender differences in research. Information sources were U.

RE-AIM in the Real World: Use of the RE-AIM Framework for Program Planning and Evaluation in Clinical and Community Settings.

The RE-AIM framework has been widely used in health research but it is unclear the extent to which this framework is also used for planning and evaluating health-related programs in clinical and community settings. Our objective was to evaluate how RE-AIM is used in the "real-world" and identify opportunities for improving use outside of research contexts. We used purposive and snowball sampling to identify clinical and community health programs that used RE-AIM for planning and/or evaluation.