Health Motivation in the Influencer Era: Analyzing Entertainment, Personal, and Social Media Role Models.

This research explored how personal and entertainment role models motivate an individual's health goals, and how following a role model on social media affects this process. A survey of 404 adults revealed that identifying a personal role model, such as a family member, friend, or healthcare professional, had a stronger influence on health motivation in comparison to identifying an entertainment role model. Additionally, our findings indicated that following any role model on social media, whether a personal acquaintance or a celebrity, enhanced motivation. Role model attributes that mediated these relationships included perceived similarity, and in some instances, positive and negative norm deviance. This study highlights the importance of leveraging role model relationships in health communication campaigns and developing authentic influencer-driven health initiatives that feature relatable entertainment figures. Additionally, this research supports the need for further examination of how a role model's perceived positive or negative norm deviance influences motivational capability. We discuss implications for the motivational theory of role modeling, health promotion, and entertainment education.

Mapping Buprenorphine Access at Philadelphia Pharmacies.

OBJECTIVES: Buprenorphine is not reliably stocked in many pharmacies, and pharmacy-level barriers may deter patients from opioid use disorder care. We surveyed all outpatient pharmacies in Philadelphia to describe variation in buprenorphine access and developed a map application to aid in identifying pharmacies that stock the medication. METHODS: Using a dataset from the Bureau of Professional and Occupational Affairs, we conducted a telephone survey of operating outpatient pharmacies (N = 422) about their buprenorphine stocking and dispensing practices. We used ArcGIS Pro 3.0.3 to join US Census Bureau ZIP code-level race and ethnicity data, conduct descriptive analyses, and create a map application. RESULTS: We collected data from 351 pharmacies (83% response rate). Two hundred thirty-eight pharmacies (68%) indicated that they regularly stock buprenorphine; 6 (2%) would order it when a prescription is sent. Ninety-one (26%) said that they do not stock or order buprenorphine, and 16 (5%) were unsure. We identified 137 "easier access" pharmacies (39%), meaning they regularly stock buprenorphine, dispense to new patients, and have no dosage maximums. Zip codes with predominantly White residents had a median (interquartile range) of 3 (2-4) "easier access" pharmacies, and those with predominantly Black residents a median (interquartile range) of 2 (1-4.5). Nine zip codes had no "easier access" pharmacies, and 3 had only one; these 3 zip codes are areas with predominantly Black residents. CONCLUSIONS: Buprenorphine access is not equitable across Philadelphia and a quarter of pharmacies choose not to carry the medication. Our map application may be used to identify pharmacies in Philadelphia that stock buprenorphine.

Using TikTok to Educate, Influence, or Inspire? A Content Analysis of Health-Related EduTok Videos.

This study explores how people engage with educational and motivational content on TikTok. We conducted a mixed-methods content analysis of N = 400 health videos from the prosocial EduTok campaign. Two theories guided our analysis of content: the motivational theory of role modeling and the health belief model. Our results revealed that audiences most frequently engaged with educational videos related to diet, exercise, and sexual health. Role model appeals were prominently featured and highly engaged with. However, these videos often framed health promotion through an ideal lens, without including information needed for behavior change attainability. The prevalence of constructs from the health belief model in videos varied. Videos emphasizing prevention, cues to action, and behavior antecedents including perceived benefits and severity attracted more views and engagement than videos that did not include these concepts. We further observed a trend in which content creators used severity in a sensational manner to elicit shock and outrage, which in turn boosted content virality. When included, videos featuring efficacy appeals garnered higher engagement. However, these appeals were less common and had limited reach. Overall, our findings provide implications for using role modeling and theory-driven appeals in social media eHealth communication.

Impact of Universal Screening and Automated Clinical Decision Support for the Treatment of Opioid Use Disorder in Emergency Departments: A Difference-in-Differences Analysis.

STUDY OBJECTIVE: Emergency department (ED)-initiated buprenorphine improves outcomes in patients with opioid use disorder; however, adoption varies widely. To reduce variability, we implemented a nurse-driven triage screening question in the electronic health record to identify patients with opioid use disorder, followed by targeted electronic health record prompts to measure withdrawal and guide next steps in management, including initiation of treatment. Our objective was to assess the impact of screening implementation in 3 urban, academic EDs. METHODS: We conducted a quasiexperimental study of opioid use disorder-related ED visits using electronic health record data from January 2020 to June 2022. The triage protocol was implemented in 3 EDs between March and July 2021, and 2 other EDs in the health system served as controls. We evaluated changes in treatment measures over time and used a difference-in-differences analysis to compare outcomes in the 3 intervention EDs with those in the 2 controls. RESULTS: There were 2,462 visits in the intervention hospitals (1,258 in the preperiod and 1,204 in the postperiod) and 731 in the control hospitals (459 in the preperiod and 272 in the postperiod). Patient characteristics within the intervention and control EDs were similar across the time periods. Compared with the control hospitals, the triage protocol was associated with a 17% greater increase in withdrawal assessment, using the Clinical Opioid Withdrawal Scale (COWS) (95% CI 7 to 27). Buprenorphine prescriptions at discharge also increased by 5% (95% CI 0% to 10%), and naloxone prescriptions increased by 12% points (95% CI 1% to 22%) in the intervention EDs relative to controls. CONCLUSION: An ED triage screening and treatment protocol led to increased assessment and treatment of opioid use disorder. Protocols designed to make screening and treatment the default practice have promise in increasing the implementation of evidence-based treatment ED opioid use disorder care.

Variability in opioid use disorder clinical presentations and treatment in the emergency department: A mixed-methods study.

BACKGROUND: There is strong evidence for emergency department (ED)-initiated treatment of opioid use disorder (OUD). However, implementation is variable, and ED management of OUD may differ by clinical presentation. Our aim was to use mixed methods to explore variation in ED-based OUD care by patient clinical presentation and understand barriers and facilitators to ED implementation of OUD treatment across scenarios. METHODS: We analyzed treatment outcomes in OUD-related visits within three urban, academic EDs from 12/2018 to 7/2020 following the implementation of interventions to increase ED-initiated OUD treatment. We assessed differences in treatment with medications for OUD (MOUDs) by clinical presentation (overdose, withdrawal, others). These data were integrated with results from 5 focus groups conducted with 28 ED physicians and nurses January to April 2020 to provide a richer understanding of clinician perspectives on caring for ED patients with OUD. RESULTS: Of the 1339 total opioid-related visits, there were 265 (20%) visits for overdose, 123 (9%) for withdrawal, and 951 (71%) for other OUD-related conditions. 23% of patients received MOUDs during their visit or at discharge. Treatment with MOUDs was least common in overdose presentations (6%) and most common in withdrawal presentations (69%, p < 0.001). Buprenorphine was prescribed at discharge in 15% of visits, including 42% of withdrawal visits, 14% of other OUD-related visits, and 5% of overdose visits (p < 0.001). In focus groups, clinicians highlighted variation in ED presentations among patients with OUD. Clinicians also highlighted key aspects necessary for successful treatment initiation including perceived patient receptivity, provider confidence, and patient clinical readiness. CONCLUSIONS: ED-based treatment of OUD differed by clinical presentation. Clinician focus groups identified several areas where targeted guidance or novel approaches may improve current practices. These results highlight the need for tailored clinical guidance and can inform health system and policy interventions seeking to increase ED-initiated treatment for OUD.

Tweeting a Pandemic: Communicating #COVID19 Across the Globe.

The COVID-19 pandemic brought about an urgent need for public health departments to clearly communicate their prevention, testing, and treatment recommendations. Previous research supports that Twitter is an important platform that public health departments use to communicate crisis information to stakeholders. This study aimed to shed light on how international health departments shared relevant information about COVID-19 on Twitter in 2020. We conducted a quantitative content analysis of N = 1,200 tweets from twelve countries, across six continents. COVID-19 prevention behaviors were consistently referenced far more than testing or treatment recommendations across countries. Disease severity and susceptibility were referenced more than recommendation benefits, barriers, and efficacy. Results provide support for how public health departments can better communicate recommendations related to COVID-19 behaviors. Based on these results, implications for public health organizations and public relations practitioners worldwide are discussed, and hands-on action guidelines are provided.

Integrating peer support services into primary care-based OUD treatment: Lessons from the Penn integrated model.

Opioid use disorder (OUD) is a major public health emergency in the United States. In 2020, 2.7 million individuals had an OUD. Medication for opioid use disorder is the evidence-based, standard of care for treating OUD in outpatient settings, especially buprenorphine because it is effective and has low toxicity. Buprenorphine is increasingly prescribed in primary care, a setting that provides greater anonymity and convenience than substance use disorder treatment centers. Yet two-thirds of people who begin buprenorphine treatment discontinue within the first six months. Treatment dropout elevates the risks of return to use, infections, higher levels of medical care and related costs, justice system involvement, and death. One promising form of retention support is peer service programs. Peers combine their lived experience of substance use and recovery with formal training to help patients engage and persist in OUD treatment. They provide a range of services, including health education, encouragement and empathy, coping skills, recovery modeling, and concrete assistance in overcoming the situational barriers to retention. However, guidance is needed to define the peer role in primary care, the specific tasks peers should perform, the competencies those tasks require, training and professional development needs, and peer performance standards. Guidance also is needed to integrate peers into the care team, allocate and coordinate responsibilities among care team members, manage peer operations and workflow, and facilitate effective team communication. Here we describe a peer support program in the University of Pennsylvania Health System (UPHS or Penn Medicine) network of primary care practices. This paper details the program's core components, values, and activities. We also report the organizational challenges, unresolved questions, and lessons for the field in administering a peer support program to meet the needs of patients served by a large, urban medical system with an extensive suburban and rural catchment area. CLINICAL TRIALS REGISTRATION: www.clinicaltrials.gov registration: NCT04245423.

Reddit discussions about buprenorphine associated precipitated withdrawal in the era of fentanyl.

BACKGROUND: Induction of buprenorphine, an evidence-based treatment for opioid use disorder (OUD), has been reported to be difficult for people with heavy use of fentanyl, the most prevalent opioid in many areas of the country. In this population, precipitated opioid withdrawal (POW) may occur even after individuals have completed a period of opioid abstinence prior to induction. Our objective was to study potential associations between fentanyl, buprenorphine induction, and POW, using social media data. METHODS: This is a mixed methods study of data from seven opioid-related forums (subreddits) on Reddit. We retrieved publicly available data from the subreddits via an application programming interface, and applied natural language processing to identify subsets of posts relevant to buprenorphine induction, POW, and fentanyl and analogs (F&A). We computed mention frequencies for keywords/phrases of interest specified by our medical toxicology experts. We further conducted manual, qualitative, and thematic analyses of automatically identified posts to characterize the information presented. Results: In 267,136 retrieved posts, substantial increases in mentions of F&A (3 in 2013 to 3870 in 2020) and POW (2 in 2012 to 332 in 2020) were observed. F&A mentions from 2013 to 2021 were strongly correlated with mentions of POW (Spearman's ρ: 0.882; p = .0016), and mentions of the Bernese method (BM), a microdosing induction strategy (Spearman's ρ: 0.917; p = .0005). Manual review of 384 POW- and 106 BM-mentioning posts revealed that common discussion themes included "specific triggers of POW" (55.1%), "buprenorphine dosing strategies" (38.2%) and "experiences of OUD" (36.1%). Many reported experiencing POW despite prolonged opioid abstinence periods, and recommended induction via microdosing, including specifically via the BM. CONCLUSIONS: Reddit subscribers often associate POW with F&A use and describe self-managed buprenorphine induction strategies involving microdosing to avoid POW. Further objective studies in patients with fentanyl use and OUD initiating buprenorphine are needed to corroborate these findings.HIGHLIGHTSIncrease in mentions of precipitated opioid withdrawal (POW) on Reddit from 2012 to 2021 was associated with the increase in fentanyl and analog mentions.Experiences of precipitated opioid withdrawal (POW) were described by individuals despite reporting prolonged periods of abstinence compared to standard buprenorphine induction protocols.People with Opioid Use Disorder (OUD) on Reddit are using and recommending microdosing strategies with buprenorphine to avoid POW.People who used fentanyl report experiencing POW following statistically longer periods of abstinence than people who use heroin.

Redesign of Opioid Use Disorder Screening and Treatment in the ED.

Traditionally, patients with opioid use disorder (OUD) seen in EDs have been medically cleared, discharged, and left to navigate a complex treatment system after discharge. Replacing this system of care requires reimagining the ED visit to promote best practices, including starting treatment with lifesaving medications for OUD in the ED. In this article, the authors present stakeholder-informed design of strategies for implementation of evidence-based ED OUD care at Penn Medicine. They used a participatory design approach to incorporate insights from diverse clinician groups in an iterative fashion to develop new processes of care that identified patients early to initiate OUD care pathways. Their design process led to the development of a nurse-driven protocol with OUD screening in ED triage coupled with automated prompts to both nurses and physicians or advanced practice providers to perform assessment and treatment of OUD and to deliver evidence-based treatment interventions.

Social distancing during COVID-19: threat and efficacy among university students in seven nations.

COVID-19 has been spreading fast worldwide, and until effective and safe vaccines have been widely adopted, preventive measures such as social distancing are crucial to keep the pandemic under control. The study's research questions asked which psychosocial factors predict social distancing behavior and whether there are country-level differences in social distancing? Using the Extended Parallel Process Model (EPPM) as a theoretical lens, we examined the predictive effects of threat and efficacy and demographic variables on adherence to the COVID-19 preventive behavior of social distancing using a survey among an international sample of university students. Using path modeling and analysis of covariance, we confirmed the predictive effects of the EPPM on social distancing behavior. Our final model showed that perceived susceptibility to COVID-19 was both directly and indirectly (through response efficacy) associated with social distancing behavior; that perceived severity of COVID-19 yielded a significant indirect effect on social distancing behavior through both self-efficacy and response efficacy; that perceived susceptibility is indirectly and positively associated with social distancing behavior through response efficacy; and that self-efficacy and response efficacy were directly associated with social distancing behavior. Additionally, there were country-level differences in social distancing. Possible explanations for and implications of these findings are discussed.

Sustained Implementation of a Multicomponent Strategy to Increase Emergency Department-Initiated Interventions for Opioid Use Disorder.

STUDY OBJECTIVE: There is strong evidence supporting emergency department (ED)-initiated buprenorphine for opioid use disorder, but less is known about how to implement this practice. Our aim was to describe implementation, maintenance, and provider adoption of a multicomponent strategy for opioid use disorder treatment in 3 urban, academic EDs. METHODS: We conducted a retrospective analysis of electronic health record data for adult patients with opioid use disorder-related visits before (March 2017 to November 2018) and after (December 2018 to July 2020) implementation. We describe patient characteristics, clinical treatment, and process measures over time and conducted an interrupted time series analysis using a patient-level multivariable logistic regression model to assess the association of the interventions with buprenorphine use and other outcomes. Finally, we report provider-level variation in prescribing after implementation. RESULTS: There were 2,665 opioid use disorder-related visits during the study period: 28% for overdose, 8% for withdrawal, and 64% for other conditions. Thirteen percent of patients received medications for opioid use disorder during or after their ED visit overall. Following intervention implementation, there were sustained increases in treatment and process measures, with a net increase in total buprenorphine of 20% in the postperiod (95% confidence interval 16% to 23%). In the adjusted patient-level model, there was an immediate increase in the probability of buprenorphine treatment of 24.5% (95% confidence interval 12.1% to 37.0%) with intervention implementation. Seventy percent of providers wrote at least 1 buprenorphine prescription, but provider-level buprenorphine prescribing ranged from 0% to 61% of opioid use disorder-related encounters. CONCLUSION: A combination of strategies to increase ED-initiated opioid use disorder treatment was associated with sustained increases in treatment and process measures. However, adoption varied widely among providers, suggesting that additional strategies are needed for broader uptake.

Stay Socially Distant and Wash Your Hands: Using the Health Belief Model to Determine Intent for COVID-19 Preventive Behaviors at the Beginning of the Pandemic.

BACKGROUND: The COVID-19 pandemic has quickly spread around the world, and since currently no treatments that are safe and effective for large groups of people nor a vaccine are available, the best way to prevent the illness is to avoid being exposed to the virus causing it. The purpose of this study was to examine the predictive effects of both demographic and psychosocial factors originating with the Health Belief Model on reported intent to adhere to COVID-19 preventive behaviors (e.g., social distancing, hand washing, and not attending large gatherings). METHOD: A Qualtrics survey of 500 U.S. adults was conducted to explore the relationships of demographics and psychosocial factors with the intent to adhere to COVID-19 preventive measures. RESULTS: Gender was a predictor of taking preventive action, with women more likely to take action. Health Belief Model constructs predicted uptake of most COVID-19 preventive actions, but the constructs often appeared to work independent of the model. Race/ethnicity was an infrequent predictor, but when it did, minorities were less likely to report intent to adhere to COVID-19 preventive behaviors. CONCLUSION/IMPLICATIONS: While not a perfect model for this pandemic, the Health Belief Model and its constructs should continue to be considered for use by public health communicators focusing on preventive measure campaign design in both the COVID-19 pandemic era and beyond.

Pinning Despair and Distress - Suicide-Related Content on Visual Social Media Platform Pinterest.

Background: The World Health Organization (WHO) estimates that an individual dies by suicide every 40 s. Aim: Our aim was to analyze how suicide is portrayed on the visual social media platform Pinterest. Method: This study used a quantitative content analysis of 500 suicide-related Pinterest posts. Content codes included the presence of factors related to the WHO media reporting guidelines. Results: The majority of posts were published by individual Pinterest users, with public and mental health entities rarely present. Suicidal ideation content was more prevalent in visuals than in accompanying text on Pinterest. Considering the WHO media suicide-reporting guidelines, posts featured more helpful than harmful content, but explicit details of suicides and suicide attempts were still prevalent. Finally, comments were more likely to identify with suicidal ideation or post negative content than post supportive content. Limitations: Content analysis cannot discern motivations behind posts; future studies should include other methods. Conclusion: This study suggests there is a critical need for further research into Pinterest and suicide-related topics.

#BeTheMatch: Assessing How Testimonials on Reddit Promote the Importance of Donating Bone Marrow.

This study explores how sharing testimonials on the social media network Reddit may encourage individuals to donate bone marrow. The theory of planned behavior guided a quantitative content analysis of 1,015 Reddit comments about donation. Research questions asked how individuals post about donation and how Redditors engage with this content. Overall, comments addressed more positive than negative outcome, efficacy, and normative beliefs. Comments that discussed beliefs related to registering to donate and the process of donating received significantly higher engagement than other comments. Additionally, comments that included positive outcome beliefs related to registering, positive efficacy beliefs related to registering and donating, and positive normative beliefs related to donating received higher engagement than other comments. Results suggest testimonials may be most effective if they focus on behavior facilitators and if they present donation as a positive norm deviant behavior. Finally, the Reddit forums functioned as places for individuals to seek out and share information. Comments included calls to action and hyperlinks for health resources. This research reveals how organic conversations on Reddit may promote health information seeking and advocacy behavior adoption. Implications for the theory of planned behavior and the use of Reddit as a platform for health promotion are discussed.

Tweeting the #flushot: Beliefs, Barriers, and Threats During Different Periods of the 2018 to 2019 Flu Season.

Influenza epidemics happen every year, with more than 8 million severe cases in 2017. The most effective way to prevent seasonal influenza is vaccination. In recent years, misinformation regarding vaccines abounds on social media, but the flu vaccine is relatively understudied in this area, and the current study is the first 1 to explore the content and nature of influenza information that is shared on Twitter, comparing tweets published in the early flu season with those posted in peak flu season. Using a quantitative content analysis, 1000 tweets from both parts of the flu season were analyzed for use of Health Belief Model (HBM) variables, engagement, and flu vaccine specific variables. Findings show several promising opportunities for health organizations and professionals: HBM constructs were present more frequently than in previous, related studies, and fewer vaccine-hesitant tweets appear to be present. However, the presence of high barriers to flu vaccine uptake increased significantly from early to peak season, including an increase in the mention of conspiracy theories. Flu vaccine related tweets appear to vary in misinformation level and density throughout the flu season. While this should be confirmed by further studies over multiple flu seasons, this a finding that should be considered by public health organizations when developing flu vaccine campaigns on social media.

(S)pin the flu vaccine: Recipes for concern.

Influenza epidemics happen yearly, and the World Health Organization estimates that the virus is connected to between 290,000 and 650,000 annual deaths. The most effective way to prevent seasonal influenza is vaccination. The prevalence of vaccine misinformation on social media is increasing, but the visual platform Pinterest is understudied in this area. The current study is the first to explore the content and nature of influenza information that is shared on Pinterest. Using a quantitative content analysis, Pinterest messages were theoretically analyzed for Health Belief Model variables as well as for message source, engagement, and position on vaccination. Findings showed concerning trends but also promising opportunities for health organizations and professionals.

Photo-sharing social media for eHealth: analysing perceived message effectiveness of sexual health information on Instagram.

Health professionals increasingly use social media to communicate health information, but it is unknown how visual message presentation on these platforms affects message reception. This study used an experiment to analyse how young adults (n = 839) perceive sexual health messages on Instagram. Participants were exposed to one of four conditions based on visual message presentation. Messages with embedded health content had the highest perceived message effectiveness ratings. Additionally, message sensation value, attitudes and systematic information processing were significant predictors of perceived message effectiveness. Implications for visual message design for electronic health are discussed.