Publications by authors named "Nicole O'Donnell"

Introduction: Rates of fatal overdose continue to rise in the United States, and most people with opioid use disorder (OUD) are not engaged in evidence-based treatment with medications. In Philadelphia, a city with one of the highest fatal overdose rates in the country, many residents face significant care access barriers. The COVID-19 pandemic - which destabilized the street drug supply and forced many clinics to limit services - worsened this crisis, but also led to regulatory changes that allowed for buprenorphine induction and maintenance visits via telehealth in the U.

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This article presents an Integrative Model of Sustainable Health Decision-Making and a toolkit to equip U.S. Extension professionals with knowledge and skills to engage in adult immunization education.

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This study examines attenuated risk responses among individuals who do not adhere to preventive COVID-19 measures (e.g., antimaskers).

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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.

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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.

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This study explores how people engage with educational and motivational content on TikTok. We conducted a mixed-methods content analysis of  = 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.

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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.

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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.

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Opioid use disorder (OUD) is a major public health emergency in the United States. In 2020, 2.7 million individuals had an OUD.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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