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BACKGROUND: Debriefing is essential in nursing education, aiding self-reflection and knowledge comprehension. Following the International Nursing Association for Clinical Simulation and Learning Standards of Best Practice for Debriefing is key in promoting self-awareness and achieving learning objectives. Nurse educator students must practice designing, prebriefing, facilitating, and debriefing simulations to identify areas for improvement. METHOD: A simulation experience was developed for graduate nurse educator students who participated in a postoperative scenario as nurses. Debriefing followed using the Promoting Excellence and Reflective Learning in Simulation (PEARLS) method. Students debriefed the debrief gaining insight from an educator's perspective. RESULTS: The experience was valuable, gaining insights into the application of simulation. Debriefing the debrief allowed for reflection and dialogue from the educators' perspective. CONCLUSION: Debriefing the debrief allows nurse educator students to effectively analyze simulation-based education. Utilizing the PEARLS method allows for active engagement and reflection, improving the simulation's debrief. Deliberate practice and reflective debriefing prepare nurse educator students for their roles, by enhancing simulation outcomes and nursing education. [J Nurs Educ. 2024;63(X):XXX-XXX.].

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Low-dose computed tomography lung cancer screening has mortality benefits. Yet, uptake has been low. To inform strategies to better deliver and promote screening, in 2018, we interviewed 27 long-term smokers immediately following lung cancer screening in Australia, prior to receiving scan results. Existing lung screening studies employ the Health Belief Model. Reflecting growing acknowledgement of the centrality of emotions to screening uptake, we draw on psychological and sociological theories on emotions to thematically and abductively analyse the emotional dimensions of lung cancer screening, with implications for screening promotion and delivery. As smokers, interviewees described feeling stigmatised, with female participants internalising and male participants resisting stigma. Guilt and fear related to lung cancer were described as screening motivators. The screening itself elicited mild positive emotions. Notably, interviewees expressed gratitude for the care implicitly shown through lung screening to smokers. More than individual risk assessment, findings suggest lung screening campaigns should prioritise emotions. Peer workers have been found to increase cancer screening uptake in marginalised communities, however the risk to confidentiality-especially for female smokers-limits its feasibility in lung cancer screening. Instead, we suggest involving peer consultants in developing targeted screening strategies that foreground emotions. Furthermore, findings suggest prioritising humanistic care in lung screening delivery. Such an approach may be especially important for smokers from low socioeconomic backgrounds, who perceive lung cancer screening and smoking as sources of stigma and face a higher risk of dying from lung cancer and lower engagement with screening.

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Despite the numerous breakthroughs in crash analytics, there remains a lack of consensus among safety practitioners as to the optimal method for locating high crash locations. Two critical components in the traffic safety analysis process not agreed upon are 1) how the crash distance to a target location is included in the analysis and 2) how crashes are weighted based on crash-related characteristics. For example, the commonly used buffering technique to determine which crashes are associated with a specific target road segment does not associate crashes that are closer to a target road segment with any additional weight, even though it is likely to be more greatly associated with the characteristics of the target location. Additionally, the commonly used equivalent property damage only (EPDO) crash weight method has been found to weigh fatal crashes significantly more than serious injury crashes, even if the difference between the two outcomes was a single factor. This study proposes more robust crash weighting techniques for use in high-risk location identification using an application of a novel horizontal curve dataset. Specifically, a heteroscedastic censored regression approach was used to investigate the impact of different crash proximity weighting techniques and crash severity weighting methods on model outcomes. The results demonstrate that the use of a linear distance weighting factor used in conjunction with the buffering technique as well as a less precise EPDO weighting factor method results in more robust safety analysis outcomes. The improved results have the potential to improve hot spot identification and resource allocation at both the federal and regional levels by employing models that more accurately link specific crash segments with contributing crash characteristics.

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Drivers age 65 and over have higher rates of crashes and crash-related fatalities than other adult drivers and are especially over-represented in crashes during left turns at intersections. This research investigated the use of SHRP2 Naturalistic Driving Study (NDS) data to assess infrastructure and other factors contributing to left turn crashes at signalized intersections, and how to improve older driver safety during such turns. NDS data for trips involving signalized intersections and crash or near-crash events were obtained for two driver age groups: drivers age 65 and over (older drivers) and a sample of drivers age 30-49, along with NDS pre-screening and questionnaire data. Video scoring of all trips was performed to collect additional information on intersection and trip conditions. To identify the most influential factors of crash risk during left turns at signalized intersections, machine learning and regression models were used. The results found that in the obtained NDS dataset, there was a relatively small volume of crashes during left turns at signalized intersections. Further, model results found the statistically significant variables of crash risk for older drivers were associated more with health and cognitive factors rather than the infrastructure or design of the intersections. The results suggest that a study using only SHRP2 NDS data will not lead to definitive findings or recommendations for infrastructure changes to increase safety for older drivers at signalized intersections and during left turns. Moreover, the findings of this study indicates the need to consider other data sources and data collection methods to address this critical literature gap in older driver safety.

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Pharmacist workforce researchers are predicting a potential surplus of pharmacists in the United States that might result in pharmacists being available for engagement in new roles. The objective for this study was to describe consumer opinions regarding medication use, the health care system, and pharmacists to help identify new roles for pharmacists from the consumer perspective. Data were obtained from the 2015 and 2016 National Consumer Surveys on the Medication Experience and Pharmacist Roles. Out of the representative sample of 36,673 respondents living in the United States, 80% (29,426) submitted written comments at the end of the survey. Of these, 2178 were specifically about medicines, pharmacists or health and were relevant and usable for this study. Thematic analysis, content analysis, and computer-based text mining were used for identifying themes and coding comments. The findings showed that 66% of the comments about medication use and 82% about the health care system were negative. Regarding pharmacists, 73% of the comments were positive with many commenting about the value of the pharmacist for overcoming fears and for filling current gaps in their healthcare. We propose that these comments might be signals that pharmacists could help improve coordination and continuity for peoples' healthcare and could help guide the development of new service offerings.

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Although sometimes described as paradise, the prevalence of substance use and high rate of HIV infection in the Virgin Islands are alarming. The University of the Virgin Islands Substance Abuse and HIV Prevention Program was designed to reduce drug use and prevent HIV infection among college students and young adults.

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