Creating a sustainable residency research program is necessary to develop a sustainable research pipeline, as highlighted by the recent Society for Academic Emergency Medicine 2024 Consensus Conference. We sought to describe the implementation of a novel, immersive research program for first-year emergency medicine residents. We describe the curriculum development, rationale, implementation process, and lessons learned from the implementation of a year-long research curriculum for first-year residents. We further evaluated resident perception of confidence in research methodology, interest in research, and the importance of their research experience through a 32-item survey. In two cohorts, 25 first-year residents completed the program. All residents met their scholarly project requirements by the end of their first year. Two conference abstracts and one peer-reviewed publication were accepted for publication, and one is currently under review. Survey responses indicated that there was an increase in residents’ perceived confidence in research methodology, but this was limited by the small sample size. In summary, this novel resident research curriculum demonstrated a standardized, reproducible, and sustainable approach to provide residents with an immersive research program.

We aimed to estimate the overall apparent prevalence, true prevalence, and the spatial, temporal, and test-specific burden of bovine tuberculosis in Bangladesh. PubMed, Web of Science, Scopus, Google Scholar, and BanglaJOL were searched for bovine tuberculosis publications in Bangladesh from 1 January 1970 to 23 June 2023. Of 142 articles screened, systematic review and meta-analysis were performed on 22 (15.5%) articles. The apparent estimated bovine tuberculosis prevalence was 7%. The apparent Bayesian pooled mean bovine tuberculosis prevalences based on caudal fold test and single intradermal comparative tuberculin test were 7.83% and 9.89%, respectively, and the true pooled mean prevalences were 10.39% and 10.48%, respectively. Targeted interventions are recommended for districts with higher prevalence to effectively reduce the bovine tuberculosis burden in those areas. Current diagnostic practices employed in Bangladesh may not accurately reflect the bovine tuberculosis burden. Our findings highlight the need for better diagnostic tools and supplemental testing methods to ensure accurate diagnosis and surveillance. Efforts should prioritize obtaining ‘true’ prevalence estimates corrected for misclassification bias, rather than relying solely on apparent prevalence. Underestimating the bovine tuberculosis burden could result in inadequate resource allocation and hinder the implementation of effective control measures.

A growing theoretical literature identifies how the process of constitutional review shapes judicial decision-making, legislative behavior, and even the constitutionality of legislation and executive actions. However, the empirical interrogation of these theoretical arguments is limited by the absence of a common protocol for coding constitutional review decisions across courts and time. We introduce such a coding protocol and database (CompLaw) of rulings by 42 constitutional courts. To illustrate the value of CompLaw, we examine a heretofore untested empirical implication about how review timing relates to rulings of unconstitutionality (Ward and Gabel 2019). First, we conduct a nuanced analysis of rulings by the French Constitutional Council over a 13-year period. We then examine the relationship between review timing and strike rates with a set of national constitutional courts in one year. Our data analysis highlights the benefits and flexibility of the CompLaw coding protocol for scholars of judicial review.

Motivated by disparities in gun violence, sharp increases in gun ownership, and a changing gun policy landscape, we conducted a nationally representative survey of U.S. adults (n=2,778) in 2021 to compare safety-related views of white, Black, and Hispanic gun owners and non-owners. Black gun owners were most aware of homicide disparities and least expecting of personal safety improvements from gun ownership or more permissive gun carrying. Non-owner views differed. Health equity and policy opportunities are discussed.

Scientific studies of human-animal interactions (HAIs) and how these develop into human-animal relationships (HARs) now represent some of the most significant contributions to animal welfare science. However, due to the current definition of HAR, studies have only been able to measure HAIs and infer its impact on HARs and animal welfare. Here, we redefine HARs as a series of repeated HAIs between two individuals known to each other, the nature of which is influenced by their historical HAIs and where consideration to the content, quality and the pattern of the interactions is also vital. With a new definition, it is now feasible to empirically measure HARs, however, first, it is important to evaluate current methods utilised in animal industries to allow standardisation across HAR research in zoos. Here, we review the current methods that have been used to assess HAIs in animals and determine their overall suitability for measuring HARs and their use in a zoo environment. Literature searches were conducted using the search terms ‘human-animal’ AND ‘interaction’, ‘human-animal’ AND ‘relationship’, ‘human-animal’ AND ‘bond’. Subsequently, ‘zoo’, ‘companion’, ‘agriculture’, ‘laboratory’ and ‘wild’ were added to each combination yielding five potential methods to evaluate. These methods were assessed according to a panel of indicators including reliability, robustness, practical application and feasibility for use in a zoo environment. Results indicated that the methods utilising ‘latency’, ‘qualitative behaviour assessment’ and the ‘voluntary approach test’ were potentially viable to assess HARs in a zoo environment and could subsequently contribute to the assessment of welfare implications of these HARs for the animals involved. These methods now require empirical testing and comparisons within a zoo environment.

Tobacco users are exposed to a higher risk of noncommunicable diseases, leading to premature mortality and disability-adjusted life years (DALYs). The future prediction indicates that tobacco-related mortality and morbidity rates will substantially increase in coming years. The study is aimed at assessing the prevalence of tobacco consumption and cessation attempts for different tobacco products among adult men in India. The study utilized information from India’s latest National Family Health Survey-5 (NFHS-5) data which was conducted during 2019-21, including 988,713 adult men aged 15 years and above and 93,144 men aged 15-49. Results suggest that 38 percent of men consume tobacco, including 29% in urban and 43% in rural areas. Among the men aged 35-49 years, the odds were significantly higher for consuming any form of tobacco (AOR: 7.36, CI: 6.72-8.05), smoking cigarettes (AOR: 2.56, CI: 2.23-2.94), and smoking bidi (AOR: 7.12, CI: 4.75-8.82) as compared to those aged 15-19. The application of multilevel model indicates that tobacco usages are not evenly distributed. In addition, there is maximum clustering of tobacco usages found around household level factors. Further, 30% of men aged 35-49 years attempted to stop consuming tobacco. Though 27% of men tried to quit tobacco in the last 12 months and 69% of men are exposed to secondhand smoke, 51% of men who received advice for quitting tobacco and visited the hospital in the last 12 months belong to the lowest wealth quintile. These findings prioritize promoting awareness about adverse effects of tobacco use, especially in rural areas, and capacitate them to adopt cessation efforts so that those who want to quit may be successful in their efforts. In addition, the health system’s response to the tobacco epidemic in the country should be strengthened by training of service providers to promote cessation efforts through appropriate counselling of all the patients visiting them in the context of tobacco use in any form as key drivers of the increasing burden of noncommunicable diseases (NCDs) in the country.

Reasoning biases, specifically jumping to conclusions and belief inflexibility, may play a causal role in persistent paranoia. SlowMo, a new digitally supported blended cognitive-behavioural therapy, targets these biases. Adopting the terms ‘fast’ and ‘slow thinking’ as a heuristic to support therapy, SlowMo encourages people to notice a tendency to fast thinking, and to slow down for a moment to reduce paranoia. SlowMo therapy is the first digital blended therapy for paranoia, employing face to face therapy sessions with interactive digital content, and using mobile technology to promote generalisation to daily life. We report a randomised controlled trial with N=362 participants with distressing and persistent (3+months) paranoia, comparing 8 sessions of SlowMo plus Treatment as Usual (TAU) with TAU alone. We examined SlowMo’s effectiveness in reducing paranoia and improving reasoning biases; its mechanisms of action; usability; and acceptability (Garety et al., 2021). Outcomes: SlowMo was beneficial for paranoia: 10 /11 paranoia measures at 12 weeks and 8/11 at 24 weeks demonstrated significant effects, and sustained moderate effects were observed on all observer-rated measures of persecutory delusions. Improvements in self-esteem, worry, wellbeing and quality of life were also reported. Mediation: Consistent with the theory-driven design and treatment rationale, improvements in slower thinking were found to mediate change in paranoia at 12- and 24-week follow-ups. However contrary to hypothesis, reduced fast thinking did not mediate change in paranoia, whereas worry did. These findings highlight the potential therapeutic mechanisms of action of SlowMo which which are discussed further. Garety P, Ward T, Emsley R, et al. Effects of SlowMo, a Blended Digital Therapy Targeting Reasoning, on Paranoia Among People With Psychosis: A Randomized Clinical Trial. JAMA Psychiatry. 2021;78(7):714–725. doi:10.1001/jamapsychiatry.2021.0326