Perception and Correlates of Opioid Overdose Risk Among Overdose Survivors Who Use Nonprescribed Opioids in San Francisco and Boston.

BACKGROUND: Understanding opioid overdose risk perception may inform overdose prevention strategies. METHODS: We used baseline data from a randomized overdose prevention trial, in San Francisco, CA, and Boston, MA, among people who used nonprescribed opioids, survived an overdose in the past 3 years, and had received naloxone. Participants were asked how likely they were to overdose in the next 4 months. We combined "extremely likely" and "likely" (higher risk perception) and "neutral," "unlikely," and "extremely unlikely" (lower risk perception). We performed bivariate analyses and separate multivariable logistic regression models of risk perception across (1) sociodemographic, (2) substance use, and (3) overdose risk behavior measures. Covariates were selected a priori or significant in bivariate analyses. RESULTS: Among 268 participants, 88% reported at least 1 overdose risk behavior; however, only 21% reported higher risk perception. The adjusted odds ratio (AOR) of higher risk perception was 2.41 (95% confidence interval [CI]: 1.10-5.30) among those unhoused in the past 4 months, 2.06 (95% CI: 1.05-4.05) among those using opioids in a new place, and 5.61 (95% CI: 2.82-11.16) among those who had overdosed in the past 4 months. Living in Boston was associated with higher risk perception in all 3 models (AOR = 2.00-2.46, 95% CI: 1.04-4.88). CONCLUSIONS: Despite prevalent risk behaviors, a minority of participants perceived themselves to be at higher risk of overdose. Nonetheless, some known risk factors for overdose were appropriately associated with risk perception. Fentanyl has been prevalent in Boston for longer than San Francisco, which may explain the higher risk perception there.

Food Allergy Management for Adolescents Using Behavioral Incentives: A Randomized Trial.

OBJECTIVE: We sought to evaluate the use of behavioral economics approaches to promote the carrying of epinephrine auto-injectors (EAIs) among adolescents with food allergies. We hypothesized that adolescents who receive frequent text message nudges (Intervention 1) or frequent text message nudges plus modest financial incentives (Intervention 2) would be more likely to carry their epinephrine than members of the usual care control group. METHODS: We recruited 131 adolescents ages 15 to 19 with a food allergy and a current prescription for epinephrine to participate in a cohort multiple randomized controlled trial. Participants were randomly assigned to participate in Intervention 1, Intervention 2, or to receive usual care. The primary outcome was consistency of epinephrine-carrying, measured as the proportion of checkpoints at which a participant could successfully demonstrate they were carrying their EAI, with photo-documentation of the device. RESULTS: During Intervention 1, participants who received the intervention carried their EAI 28% of the time versus 38% for control group participants (P = .06). During Intervention 2, participations who received the intervention carried their EAI 45% of the time versus 23% for control group participants (P = .002). CONCLUSIONS: Text message nudges alone were unsuccessful at promoting EAI-carrying but text message nudges combined with modest financial incentives almost doubled EAI-carriage rates among those who received the intervention compared with the control group. However, even with the intervention, adolescents with food allergies carried their EAI <50% of the time. Alternative strategies for making EAIs accessible to adolescents at all times should be implemented.

Substance Use and Overdose in Public Libraries: Results from a Five-State Survey in the US.

In the U.S., overdoses have become a health crisis in both public and private places. We describe the impact of the overdose crisis in public libraries across five U.S. states, and the front-line response of public library workers. We conducted a cross-sectional survey, inviting one worker to respond at each public library in five randomly selected states (CO, CT, FL, MI, and VA), querying participants regarding substance use and overdose in their communities and institutions, and their preparedness to respond. We describe substance use and overdose patterns, as well as correlates of naloxone uptake, in public libraries. Participating library staff (N = 356) reported witnessing alcohol use (45%) and injection drug use (14%) in their libraries in the previous month. Across states surveyed, 12% of respondents reported at least one on-site overdose in the prior year, ranging from a low of 10% in MI to a high of 17% in FL. There was wide variation across states in naloxone uptake at libraries, ranging from 0% of represented libraries in FL to 33% in CO. Prior on-site overdose was associated with higher odds of naloxone uptake by the library (OR 2.5, 95% CI 1.1-5.7). Although 24% of respondents had attended a training regarding substance use in the prior year, over 90% of respondents wanted to receive additional training on the topic. Public health professionals should partner with public libraries to expand and strengthen substance use outreach and overdose prevention efforts.

Consumer Views on Using Digital Data for COVID-19 Control in the United States.

Importance: Curbing COVID-19 transmission is currently the greatest global public health challenge. Consumer digital tools used to collect data, such as the Apple-Google digital contact tracing program, offer opportunities to reduce COVID-19 transmission but introduce privacy concerns. Objective: To assess uses of consumer digital information for COVID-19 control that US adults find acceptable and the factors associated with higher or lower approval of use of this information. Design, Setting, and Participants: This cross-sectional survey study obtained data from a nationally representative sample of 6284 US adults recruited by email from the web-based Ipsos KnowledgePanel in July 2020. Respondents evaluated scenarios reflecting uses of digital data for COVID-19 control (case identification, digital contact tracing, policy setting, and enforcement of quarantines). Main Outcomes and Measures: Levels of support for use of personal digital data in 9 scenarios to mitigate the spread of COVID-19 infection, rated on a Likert scale, ranging from 1 (strongly disagree) to 5 (strongly agree). Multivariable linear regression models were fitted for each scenario and included factors hypothesized to be associated with views about digital data use for COVID-19 mitigation measures. Black and Hispanic survey respondents were oversampled; thus, poststratification weights were used so that results are representative of the general US population. Results: Of 6284 individuals invited to participate in the study, 3547 responded, for a completion rate of 56%. A total of 1762 participants (52%) were female, 715 (21%) identified as Black, 790 (23%) identified as Hispanic, and 1224 (36%) were 60 years or older; mean (SD) age was 51.7 (16.6) years. Approval of scenarios was low, ranging from 28% to 43% (52%-67% when neutral responses were included). Differences were found based on digital data source (smartphone vs social media: coefficient, 0.29 [95% CI, 0.23-0.35]; P < .001; smart thermometer vs social media: coefficient, 0.09 [95% CI, 0.03-0.16]; P = .004). County COVID-19 rates (coefficient, -0.02; 95% CI, -0.16 to 0.13 for quartile 4 compared with quartile 1) and prior family diagnosis of COVID-19 (coefficient, 0.00; 95% CI, -0.25 to 0.25) were not associated with support. Compared with self-described liberal individuals, conservative (coefficient, -0.81; 95% CI, -0.96 to -0.66; P < .001) and moderate (coefficient, -0.52; 95% CI, -0.67 to -0.38; P < .001) individuals were less likely to support the scenarios. Similarly, large political differences were observed in support of the Apple-Google digital contact tracing program, with less support from conservative (coefficient, -0.99; 95% CI, -1.11 to -0.87; P < .001) and moderate (coefficient, -0.59; 95% CI, -0.69 to -0.48; P < .001) individuals compared with liberal individuals. Respondents from racial/ethnic minority groups were more supportive of the scenarios than were White, non-Hispanic respondents. For example, compared with White respondents, Black respondents were more supportive of the Apple-Google contact tracing program (coefficient, 0.20; 95% CI, 0.07-0.32; P = .002). Conclusions and Relevance: In this survey study of US adults, many were averse to their information being used on digital platforms to mitigate transmission of COVID-19. These findings suggest that in current and future pandemics, public health departments should use multiple strategies to gain public trust and accelerate adoption of tools such as digital contact tracing applications.