Stores Licensing Scheme in remote Indigenous communities of the Northern Territory, Australia: a meta-evaluation.

A form of food retail regulation called the Stores Licensing Scheme was introduced by the Australian Government in 2007-2022 to ensure food security in remote Indigenous communities of the Northern Territory. We examined evaluations of this Scheme implemented under the Northern Territory National Emergency Response and Stronger Futures Northern Territory Acts. Grey literature search identified nine primary source evaluations. Reported outcomes were extracted and thematic analysis utilised to determine barriers and enablers. Outcomes included improved availability and quality of groceries, financial structures, and retail practices, albeit not consistently reported. Governance and food cost were perceived barriers. Future policy aimed to improve food security through community stores should consider food cost subsidy, measures to incentivise all stores to improve standards, and improved governance arrangements enabling self-determination for Aboriginal and Torres Strait Islander Store Directors.

How people evaluate individuals who act morally prior to acting immorally: An examination of developmental change in moral evaluation, social preference, and prediction of moral behaviors.

Recent studies have enthusiastically examined the developmental origin of moral self-licensing, which is a tendency to act immorally after acting morally. However, it has not been considered enough how children evaluate personality traits of individuals who show moral licensing behavior and whether there is any developmental change in this evaluation. This study examined the developmental change in moral evaluation, social preference, and prediction of moral behaviors for moral licensing characters as well as moral or immoral characters. In total, 36 5- and 6-year-old children, 36 7- and 8-year-old children, and 58 university students participated in the study. The results revealed that 7- and 8-year-olds and adults evaluated moral licensing characters as more moral and likable than those who behave immorally, unlike 5- and 6-year-olds, who did not distinguish between the immoral and moral licensing characters. Importantly, 7- and 8-year-olds judged the moral licensing character as neutral in both moral evaluation and judgment of social preference, suggesting that they thought the immoral behavior was canceled out owing to prior moral behavior in the moral licensing character. However, adults still judged the moral licensing character as immoral and dislikable. Moreover, children's prediction of moral behavior for all characters showed the same tendency as moral evaluation, whereas adults' prediction was slightly different from their moral evaluation. Taken together, our findings revealed that the evaluation of individuals who show moral licensing behavior changed developmentally, and a moral licensing effect was found when evaluating others' moral traits from around 7 or 8 years of age.

An 'alcohol health champions' intervention to reduce alcohol harm in local communities: a mixed-methods evaluation of a natural experiment.

Background: Globally alcohol consumption is a leading risk factor for premature death and disability and is associated with crime, social and economic consequences. Local communities may be able to play a role in addressing alcohol-related issues in their area. Objectives: To evaluate the effectiveness and cost-benefit of an asset-based community development approach to reducing alcohol-related harm and understand the context and factors that enable or hinder its implementation. Design: A mixed-methods evaluation. Area-level quasi-experimental trial analysed using four different evaluation methods (a stepped-wedge design where each area was a control until it entered the intervention, comparison to matched local/national controls and comparison to synthetic controls), alongside process and economic evaluations. Setting: Ten local authorities in Greater Manchester, England. Participants: The outcomes evaluation was analysed at an area level. Ninety-three lay persons representing nineareas completed questionnaires, with 12 follow-up interviews in five areas; 20 stakeholders representing ten areas were interviewed at baseline, with 17 follow-up interviews in eight areas and 26 members of the public from two areas attended focus groups. Interventions: Professionals in a co-ordinator role recruited and supported lay volunteers who were trained to become alcohol health champions. The champion's role was to provide informal, brief alcohol advice to the local population and take action to strengthen restrictions on alcohol availability. Main outcome measures: Numbers of alcohol-related hospital admissions, accident and emergency attendances, ambulance call-outs, street-level crime and antisocial behaviour in the intervention areas (area size: 1600-5500 residents). Set-up and running costs were collected alongside process evaluation data exploring barriers and facilitators. Data sources: Routinely collected quantitative data on outcome measures aggregated at the intervention area and matched control and synthetic control areas. Data from policy documents, licensing registers, meeting notes, invoices, time/cost diaries, training registers, questionnaires, interviews, reflective diaries and focus groups. Results: The intervention rolled out in nine out of ten areas, seven of which ran for a full 12 months. Areas with better-established infrastructure at baseline were able to train more champions. In total, 123 alcohol health champions were trained (95 lay volunteers and 28 professionals): lay volunteers self-reported positive impact. Champions engaged in brief advice conversations more readily than taking action on alcohol availability. There were no consistent differences in the health and crime area-level indicators between intervention areas and controls, as confirmed by using three different analysis methods for evaluating natural experiments. The intervention was not found to be cost-beneficial. Limitations: Although the sequential roll-out order of the intervention was randomised, the selection of the intervention areas was not. Self-reported impact may have been subject to social desirability bias due to the project's high profile. Conclusions: There was no measurable impact on health and crime outcomes. Possible explanations include too few volunteers trained, volunteers being unwilling to get involved in licensing decisions, or that the intervention has no direct impact on the selected outcomes. Future work: Future similar interventions should use a coproduced community outcomes framework. Other natural experiment evaluations should use methodological triangulation to strengthen inferences about effectiveness. Trial registration: This trial is registered as ISRCTN81942890. Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Public Health Research programme (NIHR award ref: 15/129/03) and is published in full in Public Health Research; Vol. 12, No. 9. See the NIHR Funding and Awards website for further award information.

Alcohol consumption puts an individual's health and social relationships at risk of harm. The more a person drinks, the more harmful it is. The harmful effects can place a burden on emergency services and hospitals. We wanted to find out whether community members can make a difference by taking action to address alcohol harm in their local area. Local councils in Greater Manchester developed a project called Communities in Charge of Alcohol, where volunteers in targeted local areas were trained to become 'alcohol health champions'. Alcohol health champions gave alcohol-related brief advice to people to help them drink less. They had a say about when, where and how alcohol is sold by reporting issues to their local council. We compared numbers of alcohol-related hospital admissions, accident and emergency attendances, ambulance call-outs and reports of crime and antisocial behaviour between areas that had alcohol health champions with other similar areas in England that did not. We calculated how much it costs to run and whether Communities in Charge of Alcohol could save society money. Not as many volunteers came forward to become an alcohol health champion as hoped for. Those who did give alcohol-related brief advice to people. They preferred not to report issues about alcohol sales to their local council, either because it was too complicated or because they did not want to be called a 'grass'. We did not find levels of alcohol harm changed in the Communities in Charge of Alcohol areas. Because of this, we could not demonstrate that Communities in Charge of Alcohol could save society money. Getting involved in alcohol licensing decisions needs to be made easier for communities, with more anonymity, through the support of professionals. More work needs to be done to understand whether giving brief advice can reduce alcohol harm in whole communities.

Persistent tailoring of MSC activation through genetic priming.

Mesenchymal stem/stromal cells (MSCs) are an attractive platform for cell therapy due to their safety profile and unique ability to secrete broad arrays of immunomodulatory and regenerative molecules. Yet, MSCs are well known to require preconditioning or priming to boost their therapeutic efficacy. Current priming methods offer limited control over MSC activation, yield transient effects, and often induce the expression of pro-inflammatory effectors that can potentiate immunogenicity. Here, we describe a genetic priming method that can both selectively and sustainably boost MSC potency via the controlled expression of the inflammatory-stimulus-responsive transcription factor interferon response factor 1 (IRF1). MSCs engineered to hyper-express IRF1 recapitulate many core responses that are accessed by biochemical priming using the proinflammatory cytokine interferon-γ (IFN-γ). This includes the upregulation of anti-inflammatory effector molecules and the potentiation of MSC capacities to suppress T cell activation. However, we show that IRF1-mediated genetic priming is much more persistent than biochemical priming and can circumvent IFN-γ-dependent expression of immunogenic MHC class II molecules. Together, the ability to sustainably activate and selectively tailor MSC priming responses creates the possibility of programming MSC activation more comprehensively for therapeutic applications.

Assessing the relationship between curricular placement of law courses and multistate pharmacy jurisprudence examination pass rates.

OBJECTIVE: To identify if there is a relationship between the placement of standalone pharmacy law courses within the PharmD curriculum and Multistate Pharmacy Jurisprudence Examination (MPJE) first-time pass rates. METHODS: Colleges of pharmacy were identified using the MPJE Passing Rates for 2019-2022 Graduates found on the National Association of Boards of Pharmacy (NABP) website. Characteristics of the pharmacy law content delivery within the curriculum were extracted from the program, Pharmacy College Application Service, American Association of Colleges of Pharmacy (AACP), and NABP websites. Pharmacy programs with standalone law courses, MPJE pass rates reported by NABP, and data that could be obtained via publicly available sources were included. To standardize between three year and four-year programs, law course delivery within the curriculum was measured as number of semesters (fall, spring, or summer) before graduation. RESULTS: One hundred nine schools met the inclusion criteria. Linear path analysis revealed no relationship between the number of semesters a law course was scheduled before graduation and 4-year average first-time MPJE pass rates and 4-year average all-time MPJE pass rates. CONCLUSION: The findings did not show that earlier placement of pharmacy law courses predicted MPJE first-time pass rates. However, a strong correlation existed between NAPLEX and MPJE pass rates, suggesting NAPLEX performance may indicate overall licensure exam preparedness. Notable differences in pass rates were observed between public and private pharmacy programs, highlighting the need to investigate program characteristics impacting exam success. Further research is warranted to identify predictive factors for MPJE outcomes.

Performance of ChatGPT-3.5 and GPT-4 in national licensing examinations for medicine, pharmacy, dentistry, and nursing: a systematic review and meta-analysis.

BACKGROUND: ChatGPT, a recently developed artificial intelligence (AI) chatbot, has demonstrated improved performance in examinations in the medical field. However, thus far, an overall evaluation of the potential of ChatGPT models (ChatGPT-3.5 and GPT-4) in a variety of national health licensing examinations is lacking. This study aimed to provide a comprehensive assessment of the ChatGPT models' performance in national licensing examinations for medical, pharmacy, dentistry, and nursing research through a meta-analysis. METHODS: Following the PRISMA protocol, full-text articles from MEDLINE/PubMed, EMBASE, ERIC, Cochrane Library, Web of Science, and key journals were reviewed from the time of ChatGPT's introduction to February 27, 2024. Studies were eligible if they evaluated the performance of a ChatGPT model (ChatGPT-3.5 or GPT-4); related to national licensing examinations in the fields of medicine, pharmacy, dentistry, or nursing; involved multiple-choice questions; and provided data that enabled the calculation of effect size. Two reviewers independently completed data extraction, coding, and quality assessment. The JBI Critical Appraisal Tools were used to assess the quality of the selected articles. Overall effect size and 95% confidence intervals [CIs] were calculated using a random-effects model. RESULTS: A total of 23 studies were considered for this review, which evaluated the accuracy of four types of national licensing examinations. The selected articles were in the fields of medicine (n = 17), pharmacy (n = 3), nursing (n = 2), and dentistry (n = 1). They reported varying accuracy levels, ranging from 36 to 77% for ChatGPT-3.5 and 64.4-100% for GPT-4. The overall effect size for the percentage of accuracy was 70.1% (95% CI, 65-74.8%), which was statistically significant (p < 0.001). Subgroup analyses revealed that GPT-4 demonstrated significantly higher accuracy in providing correct responses than its earlier version, ChatGPT-3.5. Additionally, in the context of health licensing examinations, the ChatGPT models exhibited greater proficiency in the following order: pharmacy, medicine, dentistry, and nursing. However, the lack of a broader set of questions, including open-ended and scenario-based questions, and significant heterogeneity were limitations of this meta-analysis. CONCLUSIONS: This study sheds light on the accuracy of ChatGPT models in four national health licensing examinations across various countries and provides a practical basis and theoretical support for future research. Further studies are needed to explore their utilization in medical and health education by including a broader and more diverse range of questions, along with more advanced versions of AI chatbots.

Analysis of Responses of GPT-4 V to the Japanese National Clinical Engineer Licensing Examination.

Chat Generative Pretrained Transformer (ChatGPT; OpenAI) is a state-of-the-art large language model that can simulate human-like conversations based on user input. We evaluated the performance of GPT-4 V in the Japanese National Clinical Engineer Licensing Examination using 2,155 questions from 2012 to 2023. The average correct answer rate for all questions was 86.0%. In particular, clinical medicine, basic medicine, medical materials, biological properties, and mechanical engineering achieved a correct response rate of ≥ 90%. Conversely, medical device safety management, electrical and electronic engineering, and extracorporeal circulation obtained low correct answer rates ranging from 64.8% to 76.5%. The correct answer rates for questions that included figures/tables, required numerical calculation, figure/table ∩ calculation, and knowledge of Japanese Industrial Standards were 55.2%, 85.8%, 64.2% and 31.0%, respectively. The reason for the low correct answer rates is that ChatGPT lacked recognition of the images and knowledge of standards and laws. This study concludes that careful attention is required when using ChatGPT because several of its explanations lack the correct description.

Auditing learner driver information about floodwaters: An environmental scan of government issued resources in Australia.

INTRODUCTION: Vehicles driving, or being swept, into floodwaters is a leading cause of flood-related death. Establishing safe behaviors among learner drivers may reduce risk throughout their driving lifetime. METHODS: An environmental scan of publicly available government issued learner and driver handbooks across the eight Australian jurisdictions was conducted to identify information provided regarding floodwaters. Search terms included 'flood,' 'rain,' 'water,' and 'wet.' A visual audit of flood-related signage was also conducted. RESULTS: Twelve documents, across eight jurisdictions, were analyzed. Four jurisdictions' documents provided no information on flooding. Of the four jurisdictions that provided information, content varied. This included highlighting risks and discouraging entering floodwaters in a vehicle, including penalties associated with travel on closed roads, to advising depth and current checks if crossing a flooded roadway, with recommendations based on vehicle size (preference given to bigger vehicles, i.e., 4wds). Information on flood-related signage was found in one jurisdiction. DISCUSSION: Learner and driver handbooks represent a missed opportunity to provide flood safety information. Currently, information is not provided in all jurisdictions, despite flood-related vehicle drowning deaths of drivers and passengers being a national issue. Where information is presented, it is limited, often lacks practical guidance on how to assess water depth, current, and road base stability, and could better use evidence regarding the psychological factors underpinning, and behavioral prompts for performing, or avoiding, risky driving behavior during floods. CONCLUSIONS: The provision and content of information in learner driver and driver handbooks must be improved, particularly within the context of increasing flooding and extreme weather associated with the effects of climate change. PRACTICAL APPLICATIONS: We encourage all jurisdictions to provide practical information that draws on evidence-based risk factors and empirically established psychological factors for behavioral change to help establish safe driver behaviors around floods in the formative years of learning to drive.

Imbalanced specialty representation of USMLE and NBME test writers.

PURPOSE: The United States Medical Licensing Examination (USMLE) is an examination series required for allopathic physician licensure in the United States (US). USMLE content is created and maintained by the National Board of Medical Examinations (NBME). The specialty composition of the USMLE and NBME taskforce members involved in the creation of examination content is currently unknown. METHODS: Using the 2021 USMLE and 2021 NBME Committees and Task Forces documents, we determined each member's board-certified primary specialty and involvement in test material development committees who we dubbed "test writers". Total active physicians by primary specialty were recorded from the 2020 Physician Specialty Data Report published by the Association of American Medical Colleges (AAMC). Descriptive statistics and chi-square analysis were used to analyze the cohorts. RESULTS: The USMLE and NBME test writer primary specialty composition was found to be significantly different compared to the US active physician population (USMLE χ2[32] = 172, p < .001 and NBME χ2[32] = 200, p < .001). Only nineteen specialties were represented within USMLE test writers, with three specialties being proportionally represented. Two specialties were represented within NBME test writers. Obstetrics and Gynecology physicians were proportionally represented in USMLE but not within NBME test writers. Internal Medicine (IM) accounts for the largest percentage of all USMLE test writers (60/197, 30%) with an excess representation of 31 individuals. CONCLUSIONS: There is an imbalance in the specialty representation of USMLE and NBME test writers compared to the US active physician population. These findings may have implications for the unbiased and accurate portrayal of topics in such national examinations; thus, future investigation is warranted.

Perceptions and experiences of trainers and trainees of UK workplace-based assessment for general practice licensing: a mixed methods survey.

BACKGROUND: Workplace-Based Assessment (WPBA) forms a major component of the UK General Practitioner (GP) licensing, together with knowledge and clinical skills examination. WPBA includes Case-based Discussion, Consultation Observation Tool, Mini-Consultation Exercise, Multisource Feedback, Patient Satisfaction Questionnaire, Clinical Examination and Procedural Skills, Clinical Supervisor's Report, and Educational Supervisor Review. We aimed to investigate GP trainees' and trainers' perceptions and experiences of WPBA regarding validity and fairness. METHODS: We used a national online survey, with Likert-scaled and free-text responses, to a convenience sample of GP trainees and trainers, on perceptions and experiences of WPBA. Analysis included descriptive statistics, scale development, and regression models to investigate factors associated with attitudes towards WPBA, with thematic analysis of free text responses supported by NVivo 12. RESULTS: There were 2,088 responses from 1,176 trainees and 912 trainers. Both groups were generally positive towards WPBA, with trainers more positive or similar to trainees towards individual assessments. In a multivariable regression model, accounting for sex, ethnicity and country of primary medical qualification, trainees were significantly less positive (p < 0.001) while international medical graduates (IMGs) trained outside the European Economic Area (EEA) were significantly more (p < 0.001) positive towards WPBA. Qualitative analysis revealed varying concerns about validity and relevance, assessment burden, potential for bias, fairness to protected characteristics groups, gaps in assessment, and perceptions of individual assessments. DISCUSSION: Trainers' greater positivity towards elements of WPBA accords with their role as assessors. Despite concerns about bias, IMGs from outside the EEA were significantly more positive towards WPBA.

Onsite serious adverse events reporting: Seven-year experience of the institutional ethics committee of a tertiary care hospital.

Background: Over the years, Indian regulations have undergone numerous amendments, including stringent reporting deadlines, relatedness requirements, and compensation obligations for serious adverse event (SAE). A historic change, new drugs and trial rules-2019, was proposed on March 19, 2019. The purpose of the study was to ascertain whether various stakeholders were reporting in accordance with the evolving SAE criteria. Materials and Methods: Data were retrieved after the Ethics Committee's approval between August 2014 and December 2021. Data gathered before March 19, 2019, were categorized as "BEFORE" data, while the remaining data were categorized as "AFTER." Utilizing causality, on-site SAE reporting, and the ethics committee review procedure, we evaluated the compliance. The data were evaluated using descriptive statistics, and the Chi-square or Mann-Whitney tests were used to compare the "BEFORE" and "AFTER" groups. Results: A total of 77 SAEs were reported in 26 clinical trials, where most clinical trials were phase III. Endocrine projects made up 9/26 (34.61%). In the cardiology studies, the greatest SAE distribution was 21 SAEs/89 participants (23.59%) with approximately 48% of these being vascular. The "AFTER" group noticed a decrease in the total number and length of SAE subcommittee meetings. In the "AFTER" group, there was a significantly higher median number of agenda items/meetings (8 [4.5-10.75]) (P < 0.0001). The median interval between the onset of SAE and the first reporting date, however, was just 1 day (interquartile range: 1-5 days). In nondeath SAEs, there was no significant difference in the compensation paid. In the "AFTER" group, there were no discrepancies in reporting SAE. Conclusion: There is acceptable adherence to SAE reporting criteria.

[DOG-EyeTeacher: a response by the Teaching Association to the medical study restructuring]. / DOG-EyeTeacher: eine Antwort der Arbeitsgemeinschaft Lehre auf die Umstrukturierungen im Medizinstudium.

BACKGROUND: The Masterplan Medicine 2020 adopted in 2017 entails many changes to the medical studies curriculum. The new structure affects the content of the coursework and its main focus. A major goal of this masterplan is to prepare young physicians by teaching the skills that are essential for the future profession. The National Competence-Based Learning Objectives Catalog for Medicine (NKLM) provides the basis for the teaching content. METHODS: The Working Group Teaching of the German Society of Ophthalmology (Arbeitsgemeinschaft Lehre der DOG) actively supports this transformation. In cross-site collaboration, teaching materials for various teaching formats have been compiled by relying on the NKLM (e.g., recordings of operations, slides for small group instruction, image galleries, case studies). An online library named the DOG-EyeTeacher was then created. RESULTS: The aim of the DOG-EyeTeacher is to relieve the training clinics and to establish basic standards in teaching materials, thereby enabling the necessary focus on medical education. The provision of these teaching materials should deepen the interest in ophthalmology among future doctors. CONCLUSION: The DOG-EyeTeacher is our response to the challenges associated with the planned restructuring of the medical curriculum. Since October 2023, any DOG member involved in teaching can create an account free of charge to use our materials.

Influence of Model Evolution and System Roles on ChatGPT's Performance in Chinese Medical Licensing Exams: Comparative Study.

Background: With the increasing application of large language models like ChatGPT in various industries, its potential in the medical domain, especially in standardized examinations, has become a focal point of research. Objective: The aim of this study is to assess the clinical performance of ChatGPT, focusing on its accuracy and reliability in the Chinese National Medical Licensing Examination (CNMLE). Methods: The CNMLE 2022 question set, consisting of 500 single-answer multiple choices questions, were reclassified into 15 medical subspecialties. Each question was tested 8 to 12 times in Chinese on the OpenAI platform from April 24 to May 15, 2023. Three key factors were considered: the version of GPT-3.5 and 4.0, the prompt's designation of system roles tailored to medical subspecialties, and repetition for coherence. A passing accuracy threshold was established as 60%. The χ2 tests and κ values were employed to evaluate the model's accuracy and consistency. Results: GPT-4.0 achieved a passing accuracy of 72.7%, which was significantly higher than that of GPT-3.5 (54%; P<.001). The variability rate of repeated responses from GPT-4.0 was lower than that of GPT-3.5 (9% vs 19.5%; P<.001). However, both models showed relatively good response coherence, with κ values of 0.778 and 0.610, respectively. System roles numerically increased accuracy for both GPT-4.0 (0.3%-3.7%) and GPT-3.5 (1.3%-4.5%), and reduced variability by 1.7% and 1.8%, respectively (P>.05). In subgroup analysis, ChatGPT achieved comparable accuracy among different question types (P>.05). GPT-4.0 surpassed the accuracy threshold in 14 of 15 subspecialties, while GPT-3.5 did so in 7 of 15 on the first response. Conclusions: GPT-4.0 passed the CNMLE and outperformed GPT-3.5 in key areas such as accuracy, consistency, and medical subspecialty expertise. Adding a system role insignificantly enhanced the model's reliability and answer coherence. GPT-4.0 showed promising potential in medical education and clinical practice, meriting further study.

Ethical and Practical Considerations for an Agreement to Ensure Equitable Vaccine Access Comment on "More Pain, More Gain! The Delivery of COVID-19 Vaccines and the Pharmaceutical Industry's Role in Widening the Access Gap".

This paper discusses the potential of an international agreement to ensure equitable vaccine distribution, addressing the failures witnessed during the COVID-19 pandemic. COVAX was unable to prevent vaccine monopolization and unequal distribution, which led to significant disparities in vaccination rates and avoidable deaths. Any future agreement on equitable vaccine distribution must address ethical and practical issues to ensure global health equity and access. The proposed agreement should recognize healthcare as a human right and consider vaccines beyond mere commodities, emphasizing the social responsibility of pharmaceutical companies to prioritize affordability, availability, and accessibility, particularly for low-income countries (LICs). Voluntary licensing agreements are suggested as a means to enhance access to essential medicines. The paper also outlines the necessity of international cooperation, with robust compliance mechanisms, to effectively enforce such an agreement and mitigate future health crises.

Enabling equitable and affordable access to novel therapeutics for pandemic preparedness and response via creative intellectual property agreements.

The COVID-19 pandemic demonstrated that the current purely market-driven approaches to drug discovery and development alone are insufficient to drive equitable access to new therapies either in preparation for, or in response to, pandemics. A new global framework driven by equity is under negotiation at the World Health Organization to support pandemic preparedness and response. Some believe that the global intellectual property (IP) system itself is part of the problem and propose a purely Open Science approach. In this article, we discuss how existing IP frameworks and contractual agreements may be used to create rights and obligations to generate a more effective global response in future, drawing on experience gained in the COVID Moonshot program, a purely Open Science collaboration, and the ASAP AViDD drug discovery consortium, which uses a hybrid, phased model of Open Science, patent filing and contractual agreements. We conclude that 'straight to generic' drug discovery is appropriate in some domains, and that targeted patent protection, coupled with open licensing, can offer a route to generating affordable and equitable access for therapy areas where market forces have failed. The Extended Data contains a copy of our model IP policy, which can be used as a template by other discovery efforts seeking to ensure their drug candidates can be developed for globally equitable and affordable access.

Drug discovery and development organizations usually recoup their investment in this risky and expensive process by filing patents on drug candidates which, if granted, give them a time-limited monopoly on the manufacture, sale or licensing of the drug. This means they can negotiate its price and terms of distribution, which creates distortions in access globally. In an alternative 'Open Science' approach, R&D organizations publish all the information about a prospective drug without applying for patents, meaning that anyone can use this knowledge to make and sell the drug, while the R&D organizations have no control over how it is priced or distributed. In a pandemic, fast-spreading viruses must be rapidly contained by delivering drugs to where they are most needed. This requires innovation and global access, but this is stifled in both models ­ in the first because of patent abuses, in the second because the lack of control may jeopardize the most efficient development. The authors share a model that prioritizes globally fair and affordable pricing by creating 'maximally permissive licenses' based on 'minimally defensive patents'. They explain the practical and bioethical background to their proposals and share an example of collective management of intellectual property and licensing agreement that is being used in the AI-driven Structure-enabled Antiviral Platform (ASAP) Center's Pandemic Preparedness work.

Immunomodulatory potential of cytokine-licensed human bone marrow-derived mesenchymal stromal cells correlates with potency marker expression profile.

Cytokine(s) pre-activation/licensing is an effective way to enhance the immunomodulatory potency of mesenchymal stromal cells (MSCs). Currently, IFN-γ licensing received the most attention in comparison with other cytokines. After licensing human bone marrow-derived MSCs with pro-/anti-inflammatory cytokines IFN-γ, IL-1ß, TNF-α, TGF-ß1 alone or in combination, the in-vitro immunomodulatory potency of these MSCs was studied by incubating with allogeneic T cells and macrophage-like THP-1 cells. In addition, immunomodulation-related molecules filtered by bioinformatics, complement 1 subcomponent (C1s) and interferon-induced GTP-binding protein Mx2 (MX2), were studied to verify whether to reflect the immunomodulatory potency. Herein, we reported that different cytokines cause different effects on the function of MSC. While TGF-ß1 licensing enhances the capacity of MSCs to induce T cells with an immunosuppressive phenotype, IFN-γ-licensing strengthens the inhibitory effect of MSC on T cell proliferation. Both TGF-ß1 and IFN-γ licensing can enhance the effect of MSC on reducing the expression of pro-inflammatory cytokines by M1 macrophage-like THP-1 cells. Interestingly, IFN-γ upregulates potential potency markers extracellular C1s and kynurenine (KYN) and intracellular MX2. These three molecules have the potential to reflect mesenchymal stromal cell immunomodulatory potency. In addition, we reported that there is a synergistic effect of TGF-ß1 and IFN-γ in immunomodulation.

Confronting Medical Diploma Mills: State Licensing Boards, Legislatures, and the Limits of Medical Authority in the 1920s.

In the standard story of the rise of professional authority in medicine in the 1920s, state medical licensing boards were partners in a coalition, led by the American Medical Association, to radically improve medical education. Boards obtained state laws that limited admission to licensing examinations to graduates of schools approved by the AMA, thus bringing about the rapid demise of low-quality schools by about 1925. The reality at the state level was quite different, however. Medical examining boards containing homeopaths, eclectics, and sometimes osteopaths could be far from reliable partners. Passing laws to benefit the medical profession was exceedingly difficult and dependent on local medical politics. Through the lens of a major medical diploma mill scandal revealed by a journalist in 1923, this paper examines reform efforts in three states greatly affected by the scandal: Missouri, where the scandal originated, Connecticut, and Massachusetts. In each of these states, graduates of low-quality schools as well as fake doctors from diploma mills were able to take a state examination and practice. This paper argues that the AMA, far from being the major player in the elimination of inadequate schools, could set standards but had to stay on the sidelines.

From Good Citizens to Bad Apples? The Effect of Boredom Proneness: A Moral Licensing Perspective.

Although boredom proneness has been well-studied, there is still an ongoing scholarly debate about whether boredom can move individuals to act counterproductively or productively. Drawing from a moral licensing perspective, this study empirically investigates how boredom proneness influences interpersonal citizenship behavior (ICB), moral meaningfulness, and interpersonal deviance over time. Utilizing a total of 328 three-wave panel data obtained via Amazon Mechanical Turk during a three-month period, we find the following results. First, individuals with a higher initial level of boredom proneness demonstrate a higher initial level of ICB. Second, as boredom proneness increases at a faster rate, ICB increases at a faster rate over time. Third, individuals with a higher initial level of ICB report a higher initial level of moral meaningfulness. Finally, individuals with a higher initial level of moral meaningfulness exhibit a higher initial level of interpersonal deviance. Implications for theory and practice are discussed.

Exploring the use of Rasch modelling in "common content" items for multi-site and multi-year assessment.

Rasch modelling is a powerful tool for evaluating item performance, measuring drift in difficulty over time, and comparing students who sat assessments at different times or at different sites. Here, we use data from thirty UK medical schools to describe the benefits of Rasch modelling in quality assurance and the barriers to using it. Sixty "common content" multiple choice items were offered to all UK medical schools in 2016-17, and a further sixty in 2017-18, with five available in both years. Thirty medical schools participated, for sixty total datasets across two sessions, and 14,342 individual sittings. Schools selected items to embed in written assessment near the end of their programmes. We applied Rasch modelling to evaluate unidimensionality, model fit statistics and item quality, horizontal equating to compare performance across schools, and vertical equating to compare item performance across time. Of the sixty sittings, three provided non-unidimensional data, and eight violated goodness of fit measures. Item-level statistics identified potential improvements in item construction and provided quality assurance. Horizontal equating demonstrated large differences in scores across schools, while vertical equating showed item characteristics were stable across sessions. Rasch modelling provides significant advantages in model- and item- level reporting compared to classical approaches. However, the complexity of the analysis and the smaller number of educators familiar with Rasch must be addressed locally for a programme to benefit. Furthermore, due to the comparative novelty of Rasch modelling, there is greater ambiguity on how to proceed when a Rasch model identifies misfitting or problematic data.

Application of the "Plan-Do-Check-Action" plan in improving the pass rate of the "National Medical Licensing Examination".

BACKGROUND: The National Medical Licensing Examination (NMLE) is the only objective, standardized metric to evaluate whether a medical student possessing the professional knowledge and skills necessary to work as a physician. However, the overall pass rate of NMLE in our hospital in 2021 was much lower than that of Peking Union Medical College Hospital, which was required to be further improved. METHODS: To find the reasons for the unsatisfactory performance in 2021, the quality improvement team (QIT) organized regular face-to-face meetings for in-depth discussion and questionnaire, and analyzed the data by "Plato analysis" and "Brainstorming method". After finding out the reasons, the "Plan-Do-Check-Action" (PDCA) cycle was continued to identify and solve problems, which included the formulation and implementation of specific training plans by creating the "Gantt charts", the check of effects, and continuous improvements from 2021 to 2022. Detailed information about the performance of students in 2021 and 2022, and the attendance, assessment, evaluation and suggestions from our hospital were provided by the relevant departments, and the pass rate-associated data was collected online. RESULTS: After the PDCA plan, the pass rate of NMLE in our hospital increased by 10.89% from 80.15% in 2021 to 91.04% in 2022 (P = 0.0109), with the pass rate of skill examination from 95.59% in 2021 to 99.25% in 2022 (P = 0.0581) and theoretical examination from 84.5% in 2021 to 93.13% in 2022 (P = 0.027). Additionally, the mean scores of all examinees increased with the theoretical examination score increasing from 377.0 ± 98.76 in 2021 to 407.6 ± 71.94 in 2022 (P = 0.004). CONCLUSIONS: Our results showed a success application of the PDCA plan in our hospital which improved the pass rate of the NMLE in 2022, and the PDCA plan may provide a practical framework for future medical education and further improve the pass rate of NMLE in the next year.