An EHR-automated and theory-based population health management intervention for smoking cessation in diverse low-income patients of safety-net health centers: a pilot randomized controlled trial.

This study tested the preliminary effectiveness of an electronic health record (EHR)-automated population health management (PHM) intervention for smoking cessation among adult patients of a federally qualified health center in Chicago. Participants (N = 190; 64.7% women, 82.1% African American/Black, 8.4% Hispanic/Latino) were self-identified as smokers, as documented in the EHR, who completed the baseline survey of a longitudinal "needs assessment of health behaviors to strengthen health programs and services." Four weeks later, participants were randomly assigned to the PHM intervention (N = 97) or enhanced usual care (EUC; N = 93). PHM participants were mailed a single-page self-determination theory (SDT)-informed letter that encouraged smoking cessation or reduction as an initial step. The letter also addressed low health literacy and low income. PHM participants also received automated text messages on days 1, 5, 8, 11, and 20 after the mailed letter. Two weeks after mailing, participants were called by the Illinois Tobacco Quitline. EUC participants were e-referred following a usual practice. Participants reached by the quitline were offered behavioral counseling and nicotine replacement therapy. Outcome assessments were conducted at weeks 6, 14, and 28 after the mailed letter. Primary outcomes were treatment engagement, utilization, and self-reported smoking cessation. In the PHM arm, 25.8% of participants engaged in treatment, 21.6% used treatment, and 16.3% were abstinent at 28 weeks. This contrasts with no quitline engagement among EUC participants, and a 6.4% abstinence rate. A PHM approach that can reach all patients who smoke and address unique barriers for low-income individuals may be a critical supplement to clinic-based care.

Measuring perceptions related to e-cigarettes: Important principles and next steps to enhance study validity.

Measuring perceptions associated with e-cigarette use can provide valuable information to help explain why youth and adults initiate and continue to use e-cigarettes. However, given the complexity of e-cigarette devices and their continuing evolution, measures of perceptions of this product have varied greatly. Our goal, as members of the working group on e-cigarette measurement within the Tobacco Centers of Regulatory Science (TCORS) network, is to provide guidance to researchers developing surveys concerning e-cigarette perceptions. We surveyed the 14 TCORS sites and received and reviewed 371 e-cigarette perception items from seven sites. We categorized the items based on types of perceptions asked, and identified measurement approaches that could enhance data validity and approaches that researchers may consider avoiding. The committee provides suggestions in four areas: (1) perceptions of benefits, (2) harm perceptions, (3) addiction perceptions, and (4) perceptions of social norms. Across these 4 areas, the most appropriate way to assess e-cigarette perceptions depends largely on study aims. The type and number of items used to examine e-cigarette perceptions will also vary depending on respondents' e-cigarette experience (i.e., user vs. non-user), level of experience (e.g., experimental vs. established), type of e-cigarette device (e.g., cig-a-like, mod), and age. Continuous formative work is critical to adequately capture perceptions in response to the rapidly changing e-cigarette landscape. Most important, it is imperative to consider the unique perceptual aspects of e-cigarettes, building on the conventional cigarette literature as appropriate, but not relying on existing conventional cigarette perception items without adjustment.