Improving Intranasal Naloxone Distribution for Harm Reduction in Emergency Departments

Introduction: The COVID19 pandemic has exacerbated the opioid epidemic in Ohio, with increased numbers of opioid overdoses recentl recorded. Emergency departments (EDs) commonly serve as a first point of medical contact for those with opioid overdose and those at risk for overdose. Access to addiction treatment and harm reduction resources within EDs is critical in preventing opioid overdoses and related deaths. Nationwide efforts to increase medication for opioid use disorder (MOUD) access have been underway largely through the use of buprenorphine-based medications;other strategies such as distribution of intranasal naloxone kits (i.e. Narcan) in the ED have not received as much attention. Since 2015, The Ohio State University Wexner Medical Center (OSU) at both its community and main campus hospitals has sought to increase the distribution of intranasal naloxone kits to those at risk of opioid overdose. Due to low distribution rates at these sites, in 2019 these kits were provided free-of-charge through the Ohio Department of Health Project DAWN (Deaths Avoided with Naloxone) initiative. Despite education efforts and staff training, these resources remain severely underutilized, with the community hospital outperforming the main hospital. Method(s): In a medical student driven project, the frequency of intranasal naloxone distribution to qualifying patients was tracked over a six-month period from January to June 2021. Inclusion criteria for eligible patients included those presenting with a chief complaint of opioid overdose, withdrawal, or those with history of OUD. In an effort to determine why distribution remains underutilized, a qualitative internet-based survey was deployed to nursing staff and prescribers (advanced practice practitioners, resident and attending physicians). To determine the perception of intranasal naloxone use for harm reduction and barriers to distribution, the survey queried the importance, perceived need, indications, and ability to distribute intranasal naloxone in a combination of yes/no and free-text responses. Result(s): Over the six-month study period, < 10% of more than 500 eligible patients received intranasal naloxone kits at both campuses. In total, 72 providers were interviewed, 27 of whom were prescribers and 45 were nurses. All participants completed the survey in its entirety. Survey results indicated that despite an adequate knowledge base, significant logistical barriers to distribution remained. This included not knowing the process required to order and dispense kits, a lack of clearly defined roles in the distribution process, and logistical issues in the physical location of kits throughout the ED. Conclusion(s): Despite willing and knowledgeable providers, logistical issues slowed intranasal naloxone distribution in a patient population more likely to leave against medical advice and less likely to interact with medical providers. This implies that even for those for whom a kit is ordered they may not have it in hand when leaving the ED, missing a rare opportunity to provide harm reduction devices to those most in need. Efforts are underway to improve distribution of the intranasal naloxone kits, including additional orientation for off-service interns, the development of a best practice advisory, and the utilization of standing orders.

Heterologous infection and vaccination shapes immunity against SARS-CoV-2 variants

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Innovative uses of visual technologies in initial teacher education: Changing Policy to Support Practice during covid-19

In Australia, schools and faculties of education are mandated to abide by a policy requiring preservice teachers (pst s), to complete supervised professional placement (pe) in schools. The pe are drawn upon to meet the assessment criteria for degree completion. Two strategies are reported that supported individuals and education institutions to meet policy requirements while in lockdown. First, technology was used to overcome the challenge of providing pe for hundreds of pst s by supporting online learning experiences. In the second, visual technologies were used to support pst s to meet the needs of an assessment criterion. Findings indicate that innovative solutions to challenges with pe and related assessments at the university can be mobilized in a short time frame using visual technologies. Further findings indicate that, in unprecedented times, policies developed for use in different contexts can be met with innovative collaborative efforts with a focused goal that transcend seemingly insurmountable challenges. © megan adams et al., 2021

Leveraging IoTs and Machine Learning for Patient Diagnosis and Ventilation Management in the Intensive Care Unit.

Future healthcare systems will rely heavily on clinical decision support systems (CDSS) to improve the decision-making processes of clinicians. To explore the design of future CDSS, we developed a research-focused CDSS for the management of patients in the intensive care unit that leverages Internet of Things (IoT) devices capable of collecting streaming physiologic data from ventilators and other medical devices. We then created machine learning (ML) models that could analyze the collected physiologic data to determine if the ventilator was delivering potentially harmful therapy and if a deadly respiratory condition, acute respiratory distress syndrome (ARDS), was present. We also present work to aggregate these models into a mobile application that can provide responsive, real-time alerts of changes in ventilation to providers. As illustrated in the recent COVID-19 pandemic, being able to accurately predict ARDS in newly infected patients can assist in prioritizing care. We show that CDSS may be used to analyze physiologic data for clinical event recognition and automated diagnosis, and we also highlight future research avenues for hospital CDSS.