Application of causal inference methods in individual-participant data meta-analyses in medicine: addressing data handling and reporting gaps with new proposed reporting guidelines.

Observational data provide invaluable real-world information in medicine, but certain methodological considerations are required to derive causal estimates. In this systematic review, we evaluated the methodology and reporting quality of individual-level patient data meta-analyses (IPD-MAs) conducted with non-randomized exposures, published in 2009, 2014, and 2019 that sought to estimate a causal relationship in medicine. We screened over 16,000 titles and abstracts, reviewed 45 full-text articles out of the 167 deemed potentially eligible, and included 29 into the analysis. Unfortunately, we found that causal methodologies were rarely implemented, and reporting was generally poor across studies. Specifically, only three of the 29 articles used quasi-experimental methods, and no study used G-methods to adjust for time-varying confounding. To address these issues, we propose stronger collaborations between physicians and methodologists to ensure that causal methodologies are properly implemented in IPD-MAs. In addition, we put forward a suggested checklist of reporting guidelines for IPD-MAs that utilize causal methods. This checklist could improve reporting thereby potentially enhancing the quality and trustworthiness of IPD-MAs, which can be considered one of the most valuable sources of evidence for health policy.

The Need to Widen the Concept of Health and to Include the Spiritual Dimension.

For many, the World Health Organization's (WHO) definition of health does not reflect their own understanding of health, because it lacks aspects such as spiritual wellbeing. Responding to these concerns, the WHO called in 2023 for a vision of health that integrates physical, mental, psychological, emotional, spiritual, and social wellbeing. To date, medical practitioners are often reluctant to consider spiritual aspects, because of a perceived lack of statistical evidence about the strength of relations. Research on this topic is emerging. A recent study among 800 young people living with HIV in Zimbabwe showed how study participants navigated three parallel, at times contradicting health systems (religious, traditional, medical). Conflicting approaches led to multifaceted dilemmas (= spiritual struggles), which were significantly related to poorer mental and physical health. This illustrates the need for inclusion of spiritual aspects for health and wellbeing in research, and of increased collaboration between all stakeholders in healthcare.

Medicine-Both a Science (Care) and an Art (CARE).

This Viewpoint discusses the concept of CARE (compassion, assistance, respect, and empathy) as a way physicians can practice the art of medicine in the current era of care that increasingly incorporates predictive analytics and artificial intelligence.

LightPRA: A Lightweight Temporal Convolutional Network for Automatic Physical Rehabilitation Exercise Assessment.

Research evidence shows that physical rehabilitation exercises prescribed by medical experts can assist in restoring physical function, improving life quality, and promoting independence for physically disabled individuals. In response to the absence of immediate expert feedback on performed actions, developing a Human Action Evaluation (HAE) system emerges as a valuable automated solution, addressing the need for accurate assessment of exercises and guidance during physical rehabilitation. Previous HAE systems developed for the rehabilitation exercises have focused on developing models that utilize skeleton data as input to compute a quality score for each action performed by the patient. However, existing studies have focused on improving scoring performance while often overlooking computational efficiency. In this research, we propose LightPRA (Light Physical Rehabilitation Assessment) system, an innovative architectural solution based on a Temporal Convolutional Network (TCN), which harnesses the capabilities of dilated causal Convolutional Neural Networks (CNNs). This approach efficiently captures complex temporal features and characteristics of the skeleton data with lower computational complexity, making it suitable for real-time feedback provided on resource-constrained devices such as Internet of Things (IoT) devices and Edge computing frameworks. Through empirical analysis performed on the University of Idaho-Physical Rehabilitation Movement Data (UI-PRMD) and KInematic assessment of MOvement for remote monitoring of physical REhabilitation (KIMORE) datasets, our proposed LightPRA model demonstrates superior performance over several state-of-the-art approaches such as Spatial-Temporal Graph Convolutional Network (STGCN) and Long Short-Term Memory (LSTM)-based models in scoring human activity performance, while exhibiting lower computational cost and complexity.

[Essentials for high-quality development of fangjiomics].

The development of modern omics technology has facilitated in-depth research on many disciplines in the field of medicine. For instance, the introduction of omics-related technology has facilitated research on the mechanism of formula's action and led to the innovative development of sophisticated pharmacological analysis methods. However, in general, the previous ideas are only limited to the application level, failing to integrate with the discipline connotation of formulaology. Furthermore, they are unable to fulfill their potential role in the future evolution of formulaology and steer comprehensive research on the clinical efficacy and safety of formulas. We should not forget our origins, which are compatible with other countries, and embrace the future. Therefore, this paper proposes the three essentials of "holism, macro, and practice" to investigate the future direction of high-quality development in fangjiomics.

[Motivational factors for early option choice by laboratory medicine residents in France]. / Facteurs de motivation pour le choix d'option précoce par les internes de biologie médicale en France.

In France, both students from medicine and pharmacy background can have access to the residency in laboratory medicine (LM). The current curriculum of LM residency includes an early choice of option after the first two years of residency, which subsequently guides the rest of the training. This study aimed to analyze these choice and motivational factors, since its implementation in 2017. A national survey was conducted among LM residents and former residents who underwent the early option choice process. A questionnaire was developed and sent to residents via Google Forms. Several groups of items corresponding to potential motivational factors were included and rated on a 5-point Likert scale. A psychometric analysis allowed to identify the main motivational factors. A total of 178 responses from 24 residency regions were recorded. The median age was 28 years, with a slight female predominance (52%), and three-quarters of the participants had a pharmacy training background. The "hematology and immunology" option was the most chosen (35%). The psychometric analysis enabled to identify 7 motivational factors, and the most important is the training during the residency, which weights approximately 21 % in the choice. Several associations have been observed between the motivational factors and the background training, origin, the chosen option and the planned career. Several factors influence the choice of early option among LM residents, and some of these factors are associated with the background training, origin, chosen option and planned career.

Psychobiographical reflections on Viktor von Weizsäcker within the cultural framework of salutogenesis and medical anthropology.

This article explores the life of Viktor von Weizsäcker (VvW, 1886-1957), a German medical doctor, philosopher and founder of the Heidelberg School of Anthropological Medicine, from a psychobiographical and salutogenic perspective. The authors use salutogenesis and sense of coherence (SOC), and take crucial cultural, historical, and socio-structural frameworks into account to explore the life during the 19th and 20th Centuries in Germany. They present the exploration of a strong SOC in the life of VvW and show how SOC is created within the tight family bonds of the family clan, which has produced many extraordinary theologists, philosophers, scientists and politicians over six generations. In a complex, interconnected and holistic way, SOC is evident in von VvW's individual life, and is also shown to be a family resource. This article contributes to psychobiography in three ways: it develops the salutogenetic perspective in psychobiography, explores the life of VvW within a specific sociocultural context, and investigates the life from a salutogenetic and socio-cultural perspective. Finally, conclusions are drawn, and recommendations for theory and practice are given.

neuroGPT-X: toward a clinic-ready large language model.

OBJECTIVE: The objective was to assess the performance of a context-enriched large language model (LLM) compared with international neurosurgical experts on questions related to the management of vestibular schwannoma. Furthermore, another objective was to develop a chat-based platform incorporating in-text citations, references, and memory to enable accurate, relevant, and reliable information in real time. METHODS: The analysis involved 1) creating a data set through web scraping, 2) developing a chat-based platform called neuroGPT-X, 3) enlisting 8 expert neurosurgeons across international centers to independently create questions (n = 1) and to answer (n = 4) and evaluate responses (n = 3) while blinded, and 4) analyzing the evaluation results on the management of vestibular schwannoma. In the blinded phase, all answers were assessed for accuracy, coherence, relevance, thoroughness, speed, and overall rating. All experts were unblinded and provided their thoughts on the utility and limitations of the tool. In the unblinded phase, all neurosurgeons provided answers to a Likert scale survey and long-answer questions regarding the clinical utility, likelihood of use, and limitations of the tool. The tool was then evaluated on the basis of a set of 103 consensus statements on vestibular schwannoma care from the 8th Quadrennial International Conference on Vestibular Schwannoma. RESULTS: Responses from the naive and context-enriched Generative Pretrained Transformer (GPT) models were consistently rated not significantly different in terms of accuracy, coherence, relevance, thoroughness, and overall performance, and they were often rated significantly higher than expert responses. Both the naive and content-enriched GPT models provided faster responses to the standardized question set than expert neurosurgeon respondents (p < 0.01). The context-enriched GPT model agreed with 98 of the 103 (95%) consensus statements. Of interest, all expert surgeons expressed concerns about the reliability of GPT in accurately addressing the nuances and controversies surrounding the management of vestibular schwannoma. Furthermore, the authors developed neuroGPT-X, a chat-based platform designed to provide point-of-care clinical support and mitigate the limitations of human memory. neuroGPT-X incorporates features such as in-text citations and references to enable accurate, relevant, and reliable information in real time. CONCLUSIONS: The present study, with its subspecialist-level performance in generating written responses to complex neurosurgical problems for which evidence-based consensus for management is lacking, suggests that context-enriched LLMs show promise as a point-of-care medical resource. The authors anticipate that this work will be a springboard for expansion into more medical specialties, incorporating evidence-based clinical information and developing expert-level dialogue surrounding LLMs in healthcare.

Co-designing for behavioural change: understanding barriers and enablers to addressing sexuality after traumatic brain injury and mapping intervention strategies in a multi-disciplinary rehabilitation unit.

Background Persistent changes in sexuality often follow traumatic brain injury (TBI). However, health professionals remain reticent about discussing sexuality and have reported barriers including uncertainties around whose role it is and limited educational and institutional support. This study employed a co-design and implementation process, aiming to promote team-wide behavioural change, whereby health professionals at a TBI rehabilitation unit would attempt to address sexuality with patients routinely. Methods Focus group sessions with multidisciplinary health professionals were conducted to identify barriers and enablers to behavioural change, identify areas for development, and co-design intervention options. Implementation deliverables were then finalised and provided to the team. The Theoretical Domains Framework was used to map factors influencing behaviours and the Behaviour Change Wheel was used to map interventions. Thematic analysis was used to further analyse barrier themes. Results Thirty-five barriers and eight enablers falling within 12 theoretical domains to behavioural change were identified. Thematic analysis revealed highly correlated barriers in initiating and sustaining change. Nine co-designed intervention options aligned with five intervention functions of the Behaviour Change Wheel, resulting in six final implementation deliverables. Conclusions Barriers were highly interrelated, influencing the approach to implementation deliverables. Simultaneously addressing multiple barriers could potentially alleviate discomfort associated with discussing sexuality. Concerns around initiating change were related to confidence in achieving sustainable changes. Achieving change requires organisational and team-level environmental restructuring and enablement. The next step involves evaluating the effectiveness of the co-design and implementation process in driving behavioural change and potential impacts on patient satisfaction and sexuality outcomes.

[Understanding hypersensitivity reactions to monoclonal antibodies]. / Comprendre les réactions d'hypersensibilité aux anticorps monoclonaux.

Biologic drugs are complex molecules synthesized by a living organism. Their use is increasingly prevalent across all medical specialties, exposing a growing number of patients to potential adverse reactions. In this review, we discuss the new classification of hypersensitivity reactions, along with the specific characteristics of monoclonal antibodies. We also address the available diagnostic tools and discuss the management of those reactions, including for patients requiring the continuation of these biologic drugs.

Les médicaments biologiques sont des molécules complexes synthétisées par un organisme vivant. Ils sont de plus en plus utilisés dans toutes les spécialités médicales, exposant ainsi les patients à des réactions indésirables. Dans cet article, nous abordons la nouvelle classification des réactions d'hypersensibilité ainsi que les caractéristiques spécifiques des anticorps monoclonaux. Nous évoquons également les outils diagnostiques disponibles et discutons de la prise en charge, y compris pour les patients nécessitant la poursuite de l'administration des médicaments biologiques.

Personalised learning in higher education for health sciences: a scoping review protocol.

BACKGROUND: Personalised learning, an educational approach that tailors teaching and learning to individual needs and preferences, has gained attention in recent years, particularly in higher education. Advances in educational technology have facilitated the implementation of personalised learning in various contexts. Despite its potential benefits, the literature on personalised learning in health sciences higher education remains scattered and heterogeneous. This scoping review aims to identify and map the current literature on personalised learning in health sciences higher education and its definition, implementation strategies, benefits, and limitations. METHODS: A comprehensive search of electronic databases, PubMed, Scopus, Google Scholar, Educational Research Complete, and Journal Storage (JSTOR), will be conducted to identify relevant articles. The search will be limited to articles published in the English language between 2000 and 2023. The search strategy will be designed and adapted for each database using a combination of keywords and subject headings related to personalised learning and health sciences higher education. Eligibility criteria will be applied to screen and select articles. Data extraction and quality assessment will be performed, and thematic synthesis will be used to analyse the extracted data. DISCUSSION: The results of the scoping review will present a comprehensive and coherent overview of the literature on personalised learning in health sciences higher education. Key themes and topics related to personalised learning, its definitions, models, implementation strategies, benefits, and limitations, will be identified. The geographical and temporal distribution of research on personalised learning in health sciences higher education will also be described. This scoping review will provide a structured synthesis of the available evidence on personalised learning in health sciences higher education, highlighting potential gaps and areas for future research. The findings will contribute to ongoing scholarly and policy debates on personalised learning in higher education, informing the development of best practices, guidelines, and future research agendas.

Matching Against Men: 5 Years of Residency Match Data Show Disparities Still Exist.

OBJECTIVES: Despite progress toward equal representation by sex in medical practice, women remain underrepresented in many specialties. This study sought to examine the current state of gender equality among recently graduated doctors in multiple specialties. METHODS: Deidentified demographics, standardized examination scores, and Match results were gathered for 829 graduates. Participants were selected from an allopathic medical school between 2016 and 2020. Nineteen students (2.29%) were excluded from the study. Descriptive statistics were calculated, and χ2 tests for independence were used to compare proportions between reported sex and specialty and program Match results. One-way analysis of variance was then performed to test for differences in US Medical Licensing Examination Step 1 and Step 2 scores between sexes. P < 0.05 was considered statistically significant. RESULTS: Of the 829 individuals studied, 44.6% were women. A significantly smaller proportion of women matched into the most competitive specialties, despite no significant difference in US Medical Licensing Examination Step 1 scores between sexes. Furthermore, there was an overall significant trend of women matching into more competitive programs for any given specialty. CONCLUSIONS: In this study, we found that men matched into more highly competitive specialties, whereas women matched into more competitive residency program locations. Further research is needed to determine why women matched into specific specialties at lower rates than their male peers and seek to understand how sex affects the narrative of specialty choice.