We conducted a survey experiment among US physicians to evaluate whether question wording impacted perceptions about the health effects of nicotine. 926 physicians were randomized to receive one of two versions of a question matrix that asked about the “extent to which they agree or disagree that ‘nicotine’ (Version 1) or ‘nicotine, on its own,’ (Version 2) directly contributes to” birth defects, cardiovascular disease (CVD), cancer, depression, and chronic obstructive pulmonary disease (COPD). We evaluated whether question condition predicted strong agreement and/or agreement with each statement, and assessed demographic correlates of each outcome while adjusting for question version. Physicians who received Version 2 were less likely to “strongly agree” that nicotine directly caused birth defects (Prevalence Ratio (PR) 0.84, 95% CI 0.72–0.98), CVD (PR 0.89, 95% CI 0.84–0.95), cancer (PR 0.81, 95% CI 0.75–0.87), and COPD (PR 0.78, 95% CI 0.72–0.84). Females were more likely to “strongly agree” that nicotine directly contributes to birth defects and cancer, and family physicians were most likely to “strongly agree” that nicotine directly contributes to CVD, cancer, and COPD. Question wording is important when measuring physicians’ beliefs about nicotine; however, even after accounting for question version, misperceptions about the direct health effects of nicotine were common and varied by sex and specialty.

Lung cancer is the leading cause of cancer death in the U.S. Combusted tobacco use, the primary risk factor, accounts for 90% of all lung cancers. Early detection of lung cancer improves survival, yet lung cancer screening rates are much lower than those of other cancer screening tests. Electronic health record (EHR) systems are an underutilized tool that could improve screening rates. This study was conducted in the Rutgers Robert Wood Johnson Medical Group, a university-affiliated network in New Brunswick, NJ. Two novel EHR workflow prompts were implemented on July 1, 2018. These prompts included fields to determine tobacco use and lung cancer screening eligibility and facilitated low-dose computed tomography ordering for eligible patients. The prompts were designed to improve tobacco use data entry, allowing for better lung cancer screening eligibility identification. Data were analyzed in 2022 retrospectively for the period July 1, 2017 to June 30, 2019. The analyses represented 48,704 total patient visits. The adjusted odds of patient record completeness to determine eligibility for low-dose computed tomography (AOR=1.19, 95% CI=1.15, 1.23), eligibility for low-dose computed tomography (AOR=1.59, 95% CI=1.38, 1.82), and whether low-dose computed tomography was ordered (AOR=1.04, 95% CI=1.01, 1.07) all significantly increased after the electronic medical record prompts were implemented. These findings show the utility and benefit of EHR prompts in primary care settings to increase identification for lung cancer screening eligibility as well as increased low-dose computed tomography ordering.

The 2021 National Youth Tobacco Survey (NYTS) was completed by youth online during class time, either in school or at home due to the COVID-19 pandemic. Given the role of NYTS data in tobacco regulatory science, it is vital to understand the effect of survey settings (home, school) on tobacco-use estimates. We used a series of multivariable logistic regressions to examine whether survey settings (home vs. school) predicted current e-cigarette use among high school students, controlling for other known predictors of e-cigarette use as well as the pandemic learning model that was dominant in students’ counties (e.g., nearly all at-home, majority in school). We observed a significant survey setting effect. Those who completed the survey in school had higher odds of current e-cigarette use than those who completed the same survey at home (AOR = 1.74); this effect was attenuated when we controlled for the pandemic learning model (AOR = 1.38). Moreover, e-cigarette use was independently associated with students’ learning model; students whose schools were nearly entirely in-person had the highest odds of e-cigarette use compared to students whose learning model was nearly all at-home (AOR = 1.65). Survey setting is a methodological artifact in the 2021 NYTS. Perceived privacy and peer effects can potentially explain this artifact.

Many factors can shift cigarette brand preference, and surveillance is an important tactic to inform regulatory strategy. The objective of this study was to identify shifts in top brands’ overall and menthol market share from 2014 to 2019. We used data from the National Survey on Drug Use and Health public use datasets, which are a nationally representative, cross-sectional survey of people aged 12+ in the USA. In our analysis of top brands, we accounted for consumption patterns and computed the percent change in market share for each brand. We observed that overall market share declined for nearly all brands, though top moderately priced brands gained share. Half of the top brands with menthol styles grew in menthol market share. We observed three primary shifts in the cigarette market: brands that gained the most menthol market share were brands with both menthol and non-menthol in their product lineups; menthol contributed substantially to discount brands’ market share increases; the two premium brands that employed “natural” descriptors experienced increased market share. Research should continue to focus on trends that influence cigarette market share, as the cigarette market in the USA is likely to look very different in five years than it does today.

Online research offers many benefits to nicotine and tobacco research, including the ability to conveniently and cheaply recruit large numbers of participants over a wide geographic area. However, online research also introduces an increased risk of participant deception and fraud.^1–3 Heffner et al. introduced valuable techniques for detecting fraud that can be applied to a wide variety of study protocols.³ We offer an example of detecting and responding to participant deception and adapting to changing patterns of fraud in an online cohort study of adolescents and young adults. The goal of the Policy and Communication Evaluation (PACE) Vermont Study is to understand the impact of state-level policies and communication campaigns on substance use beliefs and behaviors in young Vermonters.⁴ Study measures and findings are aimed at informing state-level prevention programming.^5,6 Using a cohort design, participants aged 12–25 years are recruited via multiple methods (including online advertisements) to visit a study website and complete online eligibility screening and informed consent.⁴ Between 2020 and 2021, three periods of enrollment were open during which participants were screened through Qualtrics surveys, and then manually screened by a member of our study team. Automated survey features were employed within Qualtrics to prevent multiple screener attempts, identify potential duplicates, and detect bots⁷; screeners also included CAPTCHA verification and one of three simple math problems which served as an attention check and were randomized to ensure that the same response was not copied across surveys. In consultation with our IRB, we included language in our online informed consent about discontinuing participants for providing information in the surveys that we believed to be intentionally falsified. The systematic method of screening participants for deception developed in our pilot study⁴ was revised and refined in subsequent waves based on changes in participant response patterns.

Background: Compared with heterosexuals, sexual minorities in the United States experience a higher incidence of negative physical and mental health outcomes. However, a variety of measurement challenges limit researchers’ ability to conduct meaningful survey research to understand these disparities. Despite the prevalence of additional identities, many national health surveys only offer respondents 3 substantive options for reporting their sexual identities (straight/heterosexual, gay or lesbian, and bisexual), which could lead to measurement error via misreporting and item nonresponse.Objective: This study compared the traditional 3-option approach to measuring sexual identity with an expanded approach that offered respondents 5 additional options.Methods: An online survey experiment conducted among New Jersey residents between March and June 2021 randomly assigned 1254 young adults (ages 18-21) to answer either the 3-response measure of sexual identity or the expanded item. Response distributions for each measure were compared as were the odds of item nonresponse.Results: The expanded version of the question appeared to result in more accurate reporting among some subgroups and induced less item nonresponse; 12% (77/642) of respondents in the expanded version selected a response that was not available in the shorter version. Females answering the expanded item were less likely to identify as gay or lesbian (2.1% [10/467] vs. 6.6% [30/457]). Females and Non-Hispanic Whites were slightly more likely to skip the shorter version than the longer version (1.1% [5/457 for females and 3/264 for Non-Hispanic Whites] vs. 0% [0/467 for females and 0/277 for Non-Hispanic Whites]). About 5% (32/642) of respondents answering the longer item were unsure of their sexual identity (a similar option was not available in the shorter version). Compared with respondents answering the longer version of the question, those answering the shorter version had substantially greater odds of skipping the question altogether (odds ratio 9.57, 95% CI 1.21-75.74; P=.03).Conclusions: Results favor the use of a longer, more detailed approach to measuring sexual identity in epidemiological research. Such a measure will likely allow researchers to produce more accurate estimates of health behaviors and outcomes among sexual minorities.