BackgroundTobacco public education campaigns focus increasingly on hard-to-reach populations at higher risk for smoking, prompting campaign creators and evaluators to develop strategies to reach hard-to-reach populations in virtual and physical spaces where they spend time.ObjectiveThe aim of this study was to describe two novel recruitment strategies (in-person intercept interviews in lesbian, gay, bisexual, and transgender [LGBT] social venues and targeted social media ads) and compares characteristics of participants recruited via these strategies for the US Food and Drug Administration’s This Free Life campaign evaluation targeting LGBT young adults who smoke cigarettes occasionally.MethodsWe recruited LGBT adults aged 18-24 years in the United States via Facebook and Instagram ads (N=1709, mean age 20.94, SD 1.94) or intercept in LGBT social venues (N=2348, mean age 21.98, SD 1.69) for the baseline evaluation survey. Covariates related to recruitment strategy were age; race or ethnicity; LGBT identity; education; pride event attendance; and alcohol, cigarette, and social media use.ResultsLesbian or gay women (adjusted odds ratio, AOR 1.88, 95% CI 1.54-2.29, P<.001), bisexual men and women (AOR 1.46, 95% CI 1.17-1.82, P=.001), gender minorities (AOR 1.68, 95% CI 1.26-2.25, P<.001), and other sexual minorities (AOR 2.48, 95% CI 1.62-3.80, P<.001) were more likely than gay men to be recruited via social media (than intercept). Hispanic (AOR 0.73, 95% CI 0.61-0.89, P=.001) and other or multiracial, non-Hispanic participants (AOR 0.70, 95% CI 0.54-0.90, P=.006) were less likely than white, non-Hispanic participants to be recruited via social media. As age increased, odds of recruitment via social media decreased (AOR 0.76, 95% CI 0.72-0.80, P<.001). Participants with some college education (AOR 1.27, 95% CI 1.03-1.56, P=.03) were more likely than those with a college degree to be recruited via social media. Participants reporting past 30-day alcohol use were less likely to be recruited via social media (AOR 0.33, 95% CI 0.24-0.44, P<.001). Participants who reported past-year pride event attendance were more likely to be recruited via social media (AOR 1.31, 95% CI 1.06-1.64, P=.02), as well as those who used Facebook at least once daily (AOR 1.43, 95% CI 1.14-1.80, P=.002). Participants who reported using Instagram at least once daily were less likely to be recruited via social media (AOR 0.73, 95% CI 0.62-0.86, P<.001). Social media recruitment was faster (incidence rate ratio, IRR=3.31, 95% CI 3.11-3.52, P<.001) and less expensive (2.2% of combined social media and intercept recruitment cost) but had greater data quality issues—a larger percentage of social media respondents were lost because of duplicate and low-quality responses (374/4446, 8.41%) compared with intercept respondents lost to interviewer misrepresentation (15/4446, 0.34%; P<.001).ConclusionsSocial media combined with intercept provided access to important LGBT subpopulations (eg, gender and other sexual minorities) and a more diverse sample. Soc...

PurposeThis study measures awareness of and receptivity to the Food and Drug Administration’s This Free Life campaign seeking to change tobacco-related attitudes and beliefs among lesbian, gay, bisexual and/or transgender (LGBT) young adults.MethodsParticipants were young adults who self-identify as LGBT. The evaluation uses a treatment-control design. This study includes data from four survey rounds with participants from each round invited to participate in subsequent rounds and new participants invited to account for attrition. Bivariate analyses assess treatment-control differences in campaign awareness by round. We used multivariable logistic regression models with a time×treatment interaction and covariates to assess whether increases in awareness were greater in treatment than control from follow-ups 1 to 4. Descriptive statistics describe perceived effectiveness and models explore covariates of perceived effectiveness.ResultsAt each round, an increasing number of participants in treatment were brand aware (25%–67%) and reported high (16%–34%) and medium (16%–25%) video awareness compared with control (all p<0.001). Regressions revealed interactions in brand and video awareness, wherein the effect of treatment on awareness increased more over time, with significant treatment-control differences in change from follow-up 1 to 4 (all p<0.05). Reactions to all but one ad were positive (one neutral) with mean perceived effectiveness scores from 3.21 to 3.92 (‘neither disagree nor agree’ to ‘agree’ on 5-point scale). Perceived effectiveness differed by LGBT identity (all p<0.05).ConclusionsAt follow-up 4, This Free Life reached most of the campaign audience in treatment markets and has achieved higher awareness in treatment than control markets, at individual survey rounds and over time.

No abstract

Background: In the US, over 200 lives are lost from opioid overdoses each day.Accurate and prompt diagnosis of opioid use disorders (OUD) may help prevent overdose deaths. However, international classification of disease (ICD) codes for OUD are known to underestimate prevalence, and their specificity and sensitivity are unknown.We developed and validated algorithms to identify OUD in electronic health records (EHR) and examined the validity of OUD ICD codes. Methods: Through four iterations, we developed EHR-based OUD identification algorithms among patients who were prescribed opioids from 2014 to 2017. The algorithms and OUD ICD codes were validated against 169 independent "gold standard" EHR chart reviews conducted by an expert adjudication panel across four healthcare systems. After using 2014-2020 EHR for validating iteration 1, the experts were advised to use 2014-2017 EHR thereafter. Results: Of the 169 EHR charts, 81 (48%) were reviewed by more than one expert and exhibited 85% expert agreement. The experts identified 54 OUD cases. The experts endorsed all 11 OUD criteria from the Diagnostic and Statistical Manual of

Attention to sexual misconduct has focused on acquaintance rape, leaving a need for research on less highly recognizable forms of harm. We estimated institution of higher education (IHE)-specific prevalence of yellow zone sexual harassment (SH) among students at 27 IHEs. We then examined SH and perceived risk of sexual assault/misconduct, knowledge regarding policies/resources, and perceptions of sexual misconduct response. Between 37.1% and 55.7% of students experienced SH. Harassed students were much more likely than non-harassed students to feel at risk for sexual misconduct and to have negative views of sexual misconduct response. Implications for research, policy, and prevention/response are discussed.