Monitoring HIV testing and pre-exposure prophylaxis information seeking by combining digital and traditional data.

BACKGROUND: Public health is increasingly turning to non-traditional digital data to inform HIV prevention and control strategies. We demonstrate a parsimonious method using both traditional survey and internet search histories to provide new insights into HIV testing and pre-exposure prophylaxis (PrEP) information seeking that can be easily extended to other settings. METHOD: We modeled how US internet search volumes from 2019 for HIV testing and PrEP compared against expected search volumes for HIV testing and PrEP using state HIV prevalence and socioeconomic characteristics as predictors. States with search volumes outside the upper and lower bound confidence interval were labeled as either over or under performing. State performance was evaluated by (a) Centers for Disease Control and Prevention designation as a hotspot for new HIV diagnoses (b) expanding Medicaid coverage. RESULTS: Ten states over-performed in models assessing information seeking for HIV testing, while eleven states under-performed. Thirteen states over-performed in models assessing internet searches for PrEP information, while thirteen states under-performed. States that expanded Medicaid coverage were more likely to over perform in PrEP models than states that did not expand Medicaid coverage. While states that were hotspots for new HIV diagnoses were more likely to over perform on HIV testing searches. CONCLUSION: Our study derived a method of measuring HIV and PrEP information seeking that is comparable across states. Several states exhibited information seeking for PrEP and HIV testing that deviated from model assessments. Statewide search volume for PrEP information was affected by a state's decision to expand Medicaid coverage. Our research provides health officials with an innovative way to monitor statewide interest in PrEP and HIV testing using a metric for information-seeking that is comparable across states.

News coverage of the E-cigarette, or Vaping, product use Associated Lung Injury (EVALI) outbreak and internet searches for vaping cessation.

BACKGROUND: In the latter half of 2019, an outbreak of pulmonary disease in the USA resulted in 2807 hospitalisations and 68 deaths, as of 18 February 2020. Given the severity of the outbreak, we assessed whether articles during the outbreak era more frequently warned about the dangers of vaping and whether internet searches for vaping cessation increased. METHODS: Using Tobacco Watcher, a media monitoring platform that automatically identifies and categorises news articles from sources across the globe, we obtained all articles that (a) discussed the outbreak and (b) primarily warned about the dangers of vaping. We obtained internet search trends originating from the USA that mentioned 'quit' or 'stop' and 'e cig(s),' 'ecig(s),' 'e-cig(s),' 'e cigarette(s),' 'e-cigarette(s),' 'electronic cigarette(s),' 'vape(s),' 'vaping' or 'vaper(s)' from Google Trends (eg, 'how do I quit vaping?'). All data were obtained from 1 January 2014 to 18 February 2020 and ARIMA models were used with historical trends to forecast the ratio of observed to expected search volumes during the outbreak era. RESULTS: News of the vaping-induced pulmonary disease outbreak was first reported on 25 July 2019 with 195 articles, culminating in 44 512 articles by 18 February 2020. On average, news articles warning about the dangers of vaping were 130% (95% prediction interval (PI): -15 to 417) and searches for vaping cessation were 76% (95% PI: 28 to 182) higher than expected levels for the days during the period when the sources of the outbreak were unknown (25 July to 27 September 2019). News and searches stabilised just after the US Centers for Disease Control and Prevention reported that a primary source of the outbreak was an additive used in marijuana vapes on 27 September 2019. In sum, there were 12 286 articles archived in Tobacco Watcher primarily warning about the dangers of vaping and 1 025 000 cessation searches following the outbreak. CONCLUSION: The vaping-induced pulmonary disease outbreak spawned increased coverage about the dangers of vaping and internet searches for vaping cessation. Resources and strategies that respond to this elevated interest should become a priority among public health leaders.

Substance Use Among Lesbian, Gay, Bisexual, and Questioning Adolescents in the United States, 2015.

OBJECTIVES: To provide current national estimates of lesbian, gay, bisexual, and questioning (LGBQ) adolescents' (grades 9-12) substance use risks. METHODS: The 2015 national Youth Risk Behavior Survey included questions for 19 substance use outcomes covering 15 substances. LGBQ adolescents' substance use was described and their risk relative to heterosexual adolescents was estimated after controlling for sociodemographic confounders. RESULTS: In controlled analyses, we found that LGBQ adolescents were 1.12 (95% confidence interval [CI] = 1.06, 1.19) times as likely as heterosexual adolescents to report any lifetime and 1.27 (95% CI = 1.14, 1.41) times as likely to report past 30-day substance use. LGBQ adolescents were at significantly greater risk for all but 1 studied substance, including alcohol, cigarettes, cigars, cocaine, ecstasy, electronic vapor usage ("vaping"), hallucinogens, heroin, inhalants, marijuana, methamphetamine, prescription drugs (without physician direction), steroids, and synthetic marijuana. CONCLUSIONS: LGBQ adolescents are at substantially greater risk for substance use. Public Health Implications. Policymakers should invest in prevention and early intervention resources to address substance use risks among LGBQ adolescents.

Google Searches for "Cheap Cigarettes" Spike at Tax Increases: Evidence from an Algorithm to Detect Spikes in Time Series Data.

Introduction: Online cigarette dealers have lower prices than brick-and-mortar retailers and advertise tax-free status.1-8 Previous studies show smokers search out these online alternatives at the time of a cigarette tax increase.9,10 However, these studies rely upon researchers' decision to consider a specific date and preclude the possibility that researchers focus on the wrong date. The purpose of this study is to introduce an unbiased methodology to the field of observing search patterns and to use this methodology to determine whether smokers search Google for "cheap cigarettes" at cigarette tax increases and, if so, whether the increased level of searches persists. Methods: Publicly available data from Google Trends is used to observe standardized search volumes for the term, "cheap cigarettes". Seasonal Hybrid Extreme Studentized Deviate and E-Divisive with Means tests were performed to observe spikes and mean level shifts in search volume. Results: Of the twelve cigarette tax increases studied, ten showed spikes in searches for "cheap cigarettes" within two weeks of the tax increase. However, the mean level shifts did not occur for any cigarette tax increase. Conclusion: Searches for "cheap cigarettes" spike around the time of a cigarette tax increase, but the mean level of searches does not shift in response to a tax increase. The SHESD and EDM tests are unbiased methodologies that can be used to identify spikes and mean level shifts in time series data without an a priori date to be studied. SHESD and EDM affirm spikes in interest are related to tax increases. Implications: • Applies improved statistical techniques (SHESD and EDM) to Google search data related to cigarettes, reducing bias and increasing power • Contributes to the body of evidence that state and federal tax increases are associated with spikes in searches for cheap cigarettes and may be good dates for increased online health messaging related to tobacco.

The Charlie Sheen Effect on Rapid In-home Human Immunodeficiency Virus Test Sales.

One in eight of the 1.2 million Americans living with human immunodeficiency virus (HIV) are unaware of their positive status, and untested individuals are responsible for most new infections. As a result, testing is the most cost-effective HIV prevention strategy and must be accelerated when opportunities are presented. Web searches for HIV spiked around actor Charlie Sheen's HIV-positive disclosure. However, it is unknown whether Sheen's disclosure impacted offline behaviors like HIV testing. The goal of this study was to determine if Sheen's HIV disclosure was a record-setting HIV prevention event and determine if Web searches presage increases in testing allowing for rapid detection and reaction in the future. Sales of OraQuick rapid in-home HIV test kits in the USA were monitored weekly from April 12, 2014, to April 16, 2016, alongside Web searches including the terms "test," "tests," or "testing" and "HIV" as accessed from Google Trends. Changes in OraQuick sales around Sheen's disclosure and prediction models using Web searches were assessed. OraQuick sales rose 95% (95% CI, 75-117; p < 0.001) of the week of Sheen's disclosure and remained elevated for 4 more weeks (p < 0.05). In total, there were 8225 more sales than expected around Sheen's disclosure, surpassing World AIDS Day by a factor of about 7. Moreover, Web searches mirrored OraQuick sales trends (r = 0.79), demonstrating their ability to presage increases in testing. The "Charlie Sheen effect" represents an important opportunity for a public health response, and in the future, Web searches can be used to detect and act on more opportunities to foster prevention behaviors.

The Use of Academic Research in Medical Cannabis Marketing: A Qualitative and Quantitative Review of Company Websites.

OBJECTIVE: This study identified, described, and evaluated how six medical cannabis companies (CTPharma, Canopy Growth, Charlotte's Web, Columbia Care, Curaleaf, and Tilray), which have a combined market capitalization of more than $10 billion, use academic research in their marketing strategies. METHOD: We focused on partnerships between medical cannabis companies and academic institutions and research-related health claims. In summer 2020, we systematically collected data on these practices from these companies' public-facing websites using a custom web-scraper. We present a summary of each company's academic partnerships and their use of health claims in online material. We used regular expressions to categorize claims by medical condition. RESULTS: We found evidence that five of the six companies reviewed (all but Curaleaf) engaged in and publicized partnerships with academic institutions to market cannabis or cannabis-derived products. Four companies appeared to focus their partnerships on observational rather than clinical research. Only one partnership reviewed involved a plan for large-scale randomized controlled trials (RCTs), and none had produced a publication with causal evidence from a large-scale RCT. We found 908 research-related health claims either on or directly linked from company websites. These claims involved common and severe conditions such as cancer (N = 154), gastrointestinal disorders (N = 133), inflammation (N = 163), mental health disorders (N = 412), and pain (N = 326) (a single claim could be categorized by regular expressions to zero, one, or multiple medical conditions so these did not sum to 908). CONCLUSIONS: Medical cannabis companies regularly use associations with academia and academic research to imply that their products are safe and effective before these claims are causally confirmed. This practice may mislead patients, policymakers, and the public into believing unconfirmed claims about the safety and efficacy of cannabis and cannabis-derived products.

Proportion of U.S. Clinics Offering LGBT-Tailored Mental Health Services Decreased Over Time: A Panel Study of the National Mental Health Services Survey.

Our objective was to characterize the proportion of U.S. mental health clinics that offered LGBT-tailored mental health services between 2014 and 2018. We used data from the National Mental Health Services Survey (NMHSS) to construct a mixed logistic model of availability of LGBT-tailored mental health services over time, by region (Northeast, South, Midwest and West), and by facility type (Veterans Administration, inpatient/residential, outpatient, community mental health centers and mixed). Our results show that the overall proportion of mental health clinics that offered LGBT-tailored services decreased from 2014 to 2018. Our results also indicate that Veteran Affairs clinics and facilities in the West and Northeast were most likely to offer LGBT-tailored mental health services. Given the temporal, regional, and facility gaps in LGBT-tailored mental health services availability, more effort should be dedicated to addressing this disparity.

Impact of the Medicare Shared Savings Program on utilization of mental health and substance use services by eligibility and race/ethnicity.

OBJECTIVE: To assess the impact of the Medicare Shared Savings Program (MSSP) ACOs on mental health and substance use services utilization and racial/ethnic disparities in care for these conditions. DATA SOURCES: Five percent random sample of Medicare claims from 2009 to 2016. STUDY DESIGN: We compared Medicare beneficiaries in MSSP ACOs to non-MSSP beneficiaries, stratifying analyses by Medicare eligibility (disability vs age 65+). We estimated difference-in-difference models of MSSP ACOs on mental health and substance use visits (outpatient and inpatient), medication fills, and adequate care for depression adjusting for age, sex, race/ethnicity, region, and chronic medical and behavioral health conditions. To examine the differential impact of MSSP on our outcomes by race/ethnicity, we used a difference-in-difference-in-differences (DDD) design. DATA COLLECTION/EXTRACTION METHODS: Not applicable. PRINCIPAL FINDINGS: MSSP ACOs were associated with small reductions in outpatient mental health (Coeff: -0.012, P < .001) and substance use (Coeff: -0.001, P < .01) visits in the disability population, and in adequate care for depression for both the disability- and age-eligible populations (Coeff: -0.028, P < .001; Coeff: -0.012, P < .001, respectively). MSSP ACO's were also associated with increases in psychotropic medications (Coeff: 0.007 and Coeff: 0.0213, for disability- and age-eligible populations, respectively, both P < .001) and reductions in inpatient mental health stays (Coeff:-0.004, P < .001, and Coeff:-0.0002, P < .01 for disability- and age-eligible populations, respectively) and substance use-related stays for disability-eligible populations (Coeff:-0.0005, P<.05). The MSSP effect on disparities varied depending on type of service. CONCLUSIONS: We found small reductions in outpatient and inpatient stays and in rates of adequate care for depression associated with MSSP ACOs. As MSSP ACOs are placed at more financial risk for population-based treatment, it will be important to include more robust behavioral health quality measures in their contracts and to monitor disparities in care.

Collateral Crises of Gun Preparation and the COVID-19 Pandemic: Infodemiology Study.

BACKGROUND: In the past, national emergencies in the United States have resulted in increased gun preparation (ie, purchasing new guns or removing guns from storage); in turn, these gun actions have effected increases in firearm injuries and deaths. OBJECTIVE: The aim of this paper was to assess the extent to which interest in gun preparation has increased amid the coronavirus disease (COVID-19) pandemic using data from Google searches related to purchasing and cleaning guns. METHODS: We fit an Autoregressive Integrated Moving Average (ARIMA) model over Google search data from January 2004 up to the week that US President Donald Trump declared COVID-19 a national emergency. We used this model to forecast Google search volumes, creating a counterfactual of the number of gun preparation searches we would expect if the COVID-19 pandemic had not occurred, and reported observed deviations from this counterfactual. RESULTS: Google searches related to preparing guns have surged to unprecedented levels, approximately 40% higher than previously reported spikes following the Sandy Hook, CT and Parkland, FL shootings and 158% (95% CI 73-270) greater than would be expected if the COVID-19 pandemic had not occurred. In absolute terms, approximately 2.1 million searches related to gun preparation were performed over just 34 days. States severely affected by COVID-19 appear to have some of the greatest increases in the number of searches. CONCLUSIONS: Our results corroborate media reports that gun purchases are increasing amid the COVID-19 pandemic and provide more precise geographic and temporal trends. Policy makers should invest in disseminating evidence-based educational tools about gun risks and safety procedures to avert a collateral public health crisis.

Responses to addiction help-seeking from Alexa, Siri, Google Assistant, Cortana, and Bixby intelligent virtual assistants.

We investigated how intelligent virtual assistants (IVA), including Amazon's Alexa, Apple's Siri, Google Assistant, Microsoft's Cortana, and Samsung's Bixby, responded to addiction help-seeking queries. We recorded if IVAs provided a singular response and if so, did they link users to treatment or treatment referral services. Only 4 of the 70 help-seeking queries presented to the five IVAs returned singular responses, with the remainder prompting confusion (e.g., "did I say something wrong?"). When asked "help me quit drugs" Alexa responded with a definition for the word drugs. "Help me quit…smoking" or "tobacco" on Google Assistant returned Dr. QuitNow (a cessation app), while on Siri "help me quit pot" promoted a marijuana retailer. IVAs should be revised to promote free, remote, federally sponsored addiction services, such as SAMSHA's 1-800-662-HELP helpline. This would benefit millions of IVA users now and more to come as IVAs displace existing information-seeking engines.

Sex and orientation identity matter in the substance use behaviors of sexual minority adolescents in the United States.

BACKGROUND: Health sciences researchers are beginning to understand the differing experiences and health risks among sexual minority subgroups (i.e., those who describe themselves as homosexual/gay/lesbian, bisexual, or unsure/questioning). Such research can promote the allocation of resources to high-risk groups and the development of interventions tailored to their needs. The present study extends this line of research to substance use among adolescents. METHODS: The lifetime and/or past 30-day alcohol, tobacco, cigarette, e-cigarette, marijuana, prescription drug, and illicit drug use of sexual minority and heterosexual adolescents was analyzed using data from the 2015 National Youth Risk Behavior Survey. Controlling for confounders, separate logistic regression models were fit for each substance use outcome. A simulation-based strategy was employed to report adjusted risk ratios for each substance use outcome for each sexual minority subgroup. RESULTS: Sexual minority females, particularly bisexual females, were at an elevated risk for substance use. For example, compared to heterosexual females, sexual minority females were 1.35 (95%CI 1.16-1.56) times more likely to have used a substance in the past 30 days, and bisexual females had an even further elevated risk ratio (RR: 1.48, 95%CI 1.28-1.69). CONCLUSIONS: Studying the variance among sexual minority subgroups will help practitioners, advocates, and policymakers identify high risk subgroups. In the case of substance use, this study suggests sexual minority females, particularly bisexual females, should become a target population for prevention and other interventions. The study conducts post-hoc analyses on secondary data, and so these results should be verified in more targeted studies.

Medical Marijuana Users are More Likely to Use Prescription Drugs Medically and Nonmedically.

OBJECTIVES: Previous studies have found a negative population-level correlation between medical marijuana availability in US states, and trends in medical and nonmedical prescription drug use. These studies have been interpreted as evidence that use of medical marijuana reduces medical and nonmedical prescription drug use. This study evaluates whether medical marijuana use is a risk or protective factor for medical and nonmedical prescription drug use. METHODS: Simulations based upon logistic regression analyses of data from the 2015 National Survey on Drug Use and Health were used to compute associations between medical marijuana use, and medical and nonmedical prescription drug use. Adjusted risk ratios (RRs) were computed with controls added for age, sex, race, health status, family income, and living in a state with legalized medical marijuana. RESULTS: Medical marijuana users were significantly more likely (RR 1.62, 95% confidence interval [CI] 1.50-1.74) to report medical use of prescription drugs in the past 12 months. Individuals who used medical marijuana were also significantly more likely to report nonmedical use in the past 12 months of any prescription drug (RR 2.12, 95% CI 1.67-2.62), with elevated risks for pain relievers (RR 1.95, 95% CI 1.41-2.62), stimulants (RR 1.86, 95% CI 1.09-3.02), and tranquilizers (RR 2.18, 95% CI 1.45-3.16). CONCLUSIONS: Our findings disconfirm the hypothesis that a population-level negative correlation between medical marijuana use and prescription drug harms occurs because medical marijuana users are less likely to use prescription drugs, either medically or nonmedically. Medical marijuana users should be a target population in efforts to combat nonmedical prescription drug use.

Don't quote me: reverse identification of research participants in social media studies.

We investigated if participants in social media surveillance studies could be reverse identified by reviewing all articles published on PubMed in 2015 or 2016 with the words "Twitter" and either "read," "coded," or "content" in the title or abstract. Seventy-two percent (95% CI: 63-80) of articles quoted at least one participant's tweet and searching for the quoted content led to the participant 84% (95% CI: 74-91) of the time. Twenty-one percent (95% CI: 13-29) of articles disclosed a participant's Twitter username thereby making the participant immediately identifiable. Only one article reported obtaining consent to disclose identifying information and institutional review board (IRB) involvement was mentioned in only 40% (95% CI: 31-50) of articles, of which 17% (95% CI: 10-25) received IRB-approval and 23% (95% CI:16-32) were deemed exempt. Biomedical publications are routinely including identifiable information by quoting tweets or revealing usernames which, in turn, violates ICMJE ethical standards governing scientific ethics, even though said content is scientifically unnecessary. We propose that authors convey aggregate findings without revealing participants' identities, editors refuse to publish reports that reveal a participant's identity, and IRBs attend to these privacy issues when reviewing studies involving social media data. These strategies together will ensure participants are protected going forward.

Next generation media monitoring: Global coverage of electronic nicotine delivery systems (electronic cigarettes) on Bing, Google and Twitter, 2013-2018.

News media monitoring is an important scientific tool. By treating news reporters as data collectors and their reports as qualitative accounts of a fast changing public health landscape, researchers can glean many valuable insights. Yet, there have been surprisingly few innovations in public health media monitoring, with nearly all studies relying on labor-intensive content analyses limited to a small number of media reports. We propose to advance this subfield by using scalable machine learning. In potentially the largest contemporary public health media monitoring study to date, we systematically characterize global news reports surrounding electronic cigarettes or electronic nicotine delivery systems (ENDS) using natural language processing techniques. News reports including ENDS terms (e.g., "electronic cigarettes") from over 100,000 sources (all sources archived on Google News or Bing News, as well as all news articles shared on Twitter) were monitored for 1 January 2013 through 31 July 2018. The geographic and subject (e.g., prevalence, bans, quitting, warnings, marketing, prices, age, flavor and industry) foci of news articles, their popularity among readers who share news on social media, and the sentiment behind news articles were assessed algorithmically. Globally there were 86,872 ENDS news reports with coverage increasing from 8 (standard deviation [SD] = 8) stories per day in 2013 to 75 (SD = 56) stories per day during 2018. The focus of ENDS news spanned 148 nations, with the plurality focusing on the United States (34% of all news). Potentially overlooked hotspots of ENDS media activity included China, Egypt, Russia, Ukraine, and Paraguay. The most common subject was warnings about ENDS (18%), followed by bans on using ENDS (13%) and ENDS prices (9%). Flavor and age restrictions were the least covered news subjects (~1% each). Among different subject foci, reports on quitting cigarettes using ENDS had the highest probability of scoring in the top three deciles of popularity rankings. Moreover, ENDS news on quitting and prices had a more positive sentiment on average than news with other subject foci. Public health leaders can use these trends to stay abreast of how ENDS are portrayed in the media, and potentially how the public perceives ENDS. Because our analytical strategies are updated in near real time, we aim to make media monitoring part of standard practice to support evidence-based tobacco control in the future.