Variability in the prevalence of inappropriate medication use among older adults: A review highlighting the importance of screening methods and database types.

AIMS: The global older population is growing rapidly, and the rise in polypharmacy has increased potentially inappropriate medication (PIM) encounters. PIMs pose health risks, but detecting them automatically in large medical databases is complex. This review aimed to uncover PIM prevalence in individuals aged 65 years or older using health databases and emphasized the risk of underestimating PIM prevalence due to underutilization of detection tools. METHODS: This study conducted a broad search on the Medline database to identify articles about the prevalence of PIMs in older adults using various databases. Articles published between January 2010 and June 2023 were included, and specific criteria were applied for study selection. Two literature reviews conducted before our study period were integrated to obtain a perspective from the 1990s to the present day. The selected papers were analysed for variables including database type, screening method, adaptations and PIM prevalence. The study categorized databases and original screening tools for clarity, examined adaptations and assessed concordance among different screening methods. RESULTS: This study encompassed 48 manuscripts, covering 58 sample evaluations. The mean prevalence of PIMs within the general population aged over 65 years was 27.8%. Relevant heterogeneity emerged in both the utilized databases and the detection methods. Adaptation of original screening tools was observed in 86.2% (50/58) of cases. Half of the original screening tools used for assessing PIMs belonged to the simple category. About a third of the studies employed less than half of the original criteria after adaptation. Only three studies used over 75% of the original criteria and more than 50 criteria. CONCLUSIONS: This extensive review highlights PIM prevalence among the older adults, emphasizing method intricacies and the potential for underestimation due to data limitations and algorithm adjustments. The findings call for enhanced methodologies, transparent algorithms and a deeper understanding of intricate rules' impact on public health implications.

Potential efficacy of T and B lymphocyte-targeted therapies on articular involvement of patients with rheumatoid arthritis and systemic sclerosis overlap syndrome. Results from a 2-centre series of 19 cases.

OBJECTIVES: To analyse in routine practice the efficacy of targeted therapies on joint involvement of patients with rheumatoid arthritis/systemic sclerosis (RA/SSc) overlap syndrome. METHODS: This was a retrospective analysis of medical records of two academic centres over a 10-year period. Joint response to targeted therapies was measured according to EULAR criteria based on Disease Activity Score (DAS)-28. In addition, changes in CRP level and glucocorticoid consumption were recorded. RESULTS: Nineteen patients were included. Methotrexate (n=11) and hydroxychloroquine (n=4) were the most used first-line treatments. Targeted therapies were frequently used (n=14). Tocilizumab was the most selected therapy (n=8), then rituximab (n=5), abatacept and anti-tumour necrosis factor (n=4). Twenty-one treatment sequences were assessed, including 18 with EULAR response criteria. Responses were "good" or "moderate" in 100% (4/4) of patients treated with abatacept, 80% (4/5) with rituximab, 40% (2/5) with tocilizumab, and 25% (1/4) with anti-TNF. T and B lymphocyte-targeted therapies (abatacept, rituximab) resulted more frequently in a "good" or "moderate" response compared to cytokine inhibitors (tocilizumab, etanercept, infliximab) with a significant decrease in DAS-28 at 6 months (-1.75; p=0.016) and a trend to a lower consumption of glucocorticoids. CONCLUSIONS: In patients with RA/SSc overlap syndrome refractory to conventional synthetic-DMARDs, T and B lymphocyte-targeted therapies seem to be a promising therapeutic option to control joint activity.

Digital Health Education for the Future: The SaNuRN (Santé Numérique Rouen-Nice) Consortium's Journey.

SaNuRN is a five-year project by the University of Rouen Normandy (URN) and the Côte d'Azur University (CAU) consortium to optimize digital health education for medical and paramedical students, professionals, and administrators. The project includes a skills framework, training modules, and teaching resources. In 2027, SaNuRN is expected to train a significant portion of the 400,000 health and paramedical professions students at the French national level. Our purpose is to give a synopsis of the SaNuRN initiative, emphasizing its novel educational methods and how they will enhance the delivery of digital health education. Our goals include showcasing SaNuRN as a comprehensive program consisting of a proficiency framework, instructional modules, and educational materials and explaining how SaNuRN is implemented in the participating academic institutions. SaNuRN is a project aimed at educating and training health-related and paramedics students in digital health. The project results from a cooperative effort between URN and CAU, covering four French departments. The project is based on the French National Referential on Digital Health (FNRDH), which defines the skills and competencies to be acquired and validated by every student in the health, paramedical, and social professions curricula. The SaNuRN team is currently adapting the existing URN and CAU syllabi to FNRDH and developing short-duration video capsules of 20 to 30 minutes to teach all the relevant material. The project aims to ensure that the largest student population earns the necessary skills, and it has developed a two-tier system involving facilitators who will enable the efficient expansion of the project's educational outreach and support the students in learning the needed material efficiently. With a focus on real-world scenarios and innovative teaching activities integrating telemedicine devices and virtual professionals, SaNuRN is committed to enabling continuous learning for healthcare professionals in clinical practice. The SaNuRN team introduced new ways of evaluating healthcare professionals by shifting from a knowledge-based to a competencies-based evaluation, aligning with the Miller teaching pyramid and using the Objective Structured Clinical Examination and Script Concordance Test in digital health education. Drawing on the expertise of URN, CAU, and their public health and digital research laboratories and partners, the SaNuRN project represents a platform for continuous innovation, including telemedicine training and living labs with virtual and interactive professional activities. The SaNuRN project provides a comprehensive, personalized 30-hour training package for health and paramedical students, addressing all 70 FNRDH competencies. The program is enhanced using AI and NLP to create virtual patients and professionals for digital healthcare simulation. SaNuRN teaching materials are open-access. The project collaborates with academic institutions worldwide to develop educational material in digital health in English and multilingual formats. SaNuRN offers a practical and persuasive training approach to meet the current digital health education requirements.

Standardized Reasons for Consultations on a French Telemedicine Platform.

Thirteen standardized reasons for e-visits were implemented in March 2024 on a French telemedicine platform to improve the analysis of needs in telemedicine, educate patients on what is possible in e-visit and adapt the offer. Patients could select 1 to 3 reasons for consultations among a list of 13 reasons. Our aim was to evaluate their impact on use of e-visits. The main reasons for consultations in teleconsultations were more linked to acute care, specifically involving a large majority of upper respiratory tract infections, back pain, and urinary tract infections. They were mostly concordant with the physician's conclusion and they may have simplified the preparation of the e-visits.

Paediatric antibiotic prescribing in a nationwide direct-to-consumer telemedicine platform in France, 2018-2021.

Background: Recent regulatory and reimbursement changes facilitated the development of teleconsultation within primary care. French guidance advises against antibiotic prescribing in children in teleconsultation. We assessed paediatric antibiotic prescribing on a French teleconsultation platform. Methods: This cross-sectional observational study analysed paediatric (0-14 years) visits on a national direct-to-consumer teleconsultation platform between January 2018 and December 2021. Teleconsultations with complete information regarding diagnosis (ICD-10 coding) and prescriptions were included. We assessed antibiotic prescription rates per 100 visits across diagnoses and used logistic regression to identify factors associated with antibiotic prescribing. Results: In the 37 587 included paediatric teleconsultations (median age 3 years) performed by 713 general practitioners (GPs) and 89 paediatricians, antibiotics were prescribed for 12.1%. Respiratory tract infections (RTIs) accounted for 49.5% of antibiotic prescriptions. Antibiotic prescription rates per 100 visits were: sinusitis, 69.5%; urinary tract infections, 62.2%; pharyngitis, 59.0%; pneumonia, 45.5%; otitis, 46.6%; bronchitis, 19.6%; rhinitis, 11.6%; bronchiolitis 6.6%. Antibiotic prescription rates were higher in GPs than paediatricians [OR 2.21 (IC95% 2.07-2.35)], among physicians aged 45-54 and over 65 [OR 1.66 (1.48-1.85) and 1.48 (1.32-1.66), respectively], in female practitioners [OR 1.13 (1.05-1.21)], in children 3-6 years old [OR 1.41 (1.28-1.56)] and over 6 [OR 1.50 (1.35-1.66)], during winter [OR 1.28 (1.21-1.37)] and for RTIs [OR 1.99 (1.87-2.10)]. Antibiotic prescription rates were lower in doctors with extensive experience in teleconsultation [OR 0.92 (0.86-0.98)]. Conclusions: Despite current recommendations, paediatric patients were frequently prescribed antibiotics during acute care teleconsultations. Specific antibiotic stewardship campaigns should target paediatric teleconsultations.

Initiating a One Digital Health Unified Terminology (ODH-UT) to Facilitate Community Expansion.

One Digital Health (ODH) merges the Digital Health and One Health approaches to create a comprehensive framework for future health ecosystems. In this rapidly evolving field, a standardized vocabulary is not just a convenience, but a necessity to ensure efficient communication. This research proposes the development of a "One Digital Health-Unified Terminology" (ODH-UT) to facilitate communication among researchers and practitioners in Digital Health and One Health, addressing this crucial need.

Sharing Digital Health Educational Resources in a One-Stop Shop Portal: Tutorial on the Catalog and Index of Digital Health Teaching Resources (CIDHR) Semantic Search Engine.

BACKGROUND: Access to reliable and accurate digital health web-based resources is crucial. However, the lack of dedicated search engines for non-English languages, such as French, is a significant obstacle in this field. Thus, we developed and implemented a multilingual, multiterminology semantic search engine called Catalog and Index of Digital Health Teaching Resources (CIDHR). CIDHR is freely accessible to everyone, with a focus on French-speaking resources. CIDHR has been initiated to provide validated, high-quality content tailored to the specific needs of each user profile, be it students or professionals. OBJECTIVE: This study's primary aim in developing and implementing the CIDHR is to improve knowledge sharing and spreading in digital health and health informatics and expand the health-related educational community, primarily French speaking but also in other languages. We intend to support the continuous development of initial (ie, bachelor level), advanced (ie, master and doctoral levels), and continuing training (ie, professionals and postgraduate levels) in digital health for health and social work fields. The main objective is to describe the development and implementation of CIDHR. The hypothesis guiding this research is that controlled vocabularies dedicated to medical informatics and digital health, such as the Medical Informatics Multilingual Ontology (MIMO) and the concepts structuring the French National Referential on Digital Health (FNRDH), to index digital health teaching and learning resources, are effectively increasing the availability and accessibility of these resources to medical students and other health care professionals. METHODS: First, resource identification is processed by medical librarians from websites and scientific sources preselected and validated by domain experts and surveyed every week. Then, based on MIMO and FNRDH, the educational resources are indexed for each related knowledge domain. The same resources are also tagged with relevant academic and professional experience levels. Afterward, the indexed resources are shared with the digital health teaching and learning community. The last step consists of assessing CIDHR by obtaining informal feedback from users. RESULTS: Resource identification and evaluation processes were executed by a dedicated team of medical librarians, aiming to collect and curate an extensive collection of digital health teaching and learning resources. The resources that successfully passed the evaluation process were promptly included in CIDHR. These resources were diligently indexed (with MIMO and FNRDH) and tagged for the study field and degree level. By October 2023, a total of 371 indexed resources were available on a dedicated portal. CONCLUSIONS: CIDHR is a multilingual digital health education semantic search engine and platform that aims to increase the accessibility of educational resources to the broader health care-related community. It focuses on making resources "findable," "accessible," "interoperable," and "reusable" by using a one-stop shop portal approach. CIDHR has and will have an essential role in increasing digital health literacy.

Digital Emergency Management for a Complex One Health Landscape: the Need for Standardization, Integration, and Interoperability.

OBJECTIVE: Planning reliable long-term planning actions to handle disruptive events requires a timely development of technological infrastructures, as well as the set-up of focused strategies for emergency management. The paper aims to highlight the needs for standardization, integration, and interoperability between Accident & Emergency Informatics (A&EI) and One Digital Health (ODH), as fields capable of dealing with peculiar dynamics for a technology-boosted management of emergencies under an overarching One Health panorama. METHODS: An integrative analysis of the literature was conducted to draw attention to specific foci on the correlation between ODH and A&EI, in particular: (i) the management of disruptive events from private smart spaces to diseases spreading, and (ii) the concepts of (health-related) quality of life and well-being. RESULTS: A digitally-focused management of emergency events that tackles the inextricable interconnectedness between humans, animals, and surrounding environment, demands standardization, integration, and systems interoperability. A consistent and finalized process of adoption and implementation of methods and tools from the International Standard Accident Number (ISAN), via findability, accessibility, interoperability, and reusability (FAIR) data principles, to Medical Informatics and Digital Health Multilingual Ontology (MIMO) - capable of looking at different approaches to encourage the integration between the ODH framework and the A&EI vision, provides a first answer to these needs. CONCLUSIONS: ODH and A&EI look at different scales but with similar goals for converging health and environmental-related data management standards to enable multi-sources, interdisciplinary, and real-time data integration and interoperability. This allows holistic digital health both in routine and emergency events.

The words of prevention, part II: ten terms in the realm of quaternary prevention / As palavras da prevenção, parte II: dez termos no âmbito da prevenção quaternária / Las palabras de la prevención, parte II: diez términos en el ámbito de la prevención cuaternaria

Objective: this part II article about the 'words of prevention' presents in a terminological way the content of ten current concepts used in the prevention domain which are closely linked to quaternary prevention: (1) overinformation; (2) overdiagnosis; (3) medically unexplained symptoms; (4) overmedicalization; (5) incidentaloma; (6) overscreening; (7) overtreatment; (8) shared decision making; (9) deprescribing; and (10) disease mongering. Methods: with the support of the laboratory team of the University of Rouen, France, which is dedicated to medical terminology and semantic relationships, it was possible to utilize a graphic user interface (called DBGUI) allowing the construction of links for each of chosen terms, and making automatic links to MeSH, if any. Those concepts are analyzed in their environment in current literature, as well as in their MeSH counterparts, if any, and related semantic online terminologies. Results and Discussion: the rules in terminological development aspire to cover the whole field of a concept and in the meantime, they can help to avoid the noise due to proxy and not exactly related issues. This refers to exhaustivity and specificity in information retrieval. Our finds show that referring to MeSH only in information retrieval in General Practice/Family medicine can induce much noise and poor adequacy to the subject investigated. Conclusion: gathering concepts in specially prepared terminologies for further development of ontologies is a necessity to enter in the semantic web area and the era of disseminated data in family medicine.

Objetivo: este artigo parte II sobre as 'palavras da prevenção' apresenta de uma forma terminológica o conteúdo de dez conceitos atuais utilizados no domínio da prevenção, que estão intimamente ligados à prevenção quaternária: (1) sobrecarga de informação; (2) sobrediagnóstico; (3) sintomas sem explicação médica; (4) sobremedicalização; (5) incidentaloma; (6) sobrerrastreamento; (7) sobretratamento; (8) tomada de decisão compartilhada; (9) desprescrição; e (10) comercialização de doenças. Métodos: com o apoio da equipe do laboratório da Universidade de Rouen, França, que se dedica à terminologia médica e às relações semânticas, foi possível utilizar uma interface gráfica de usuário (chamado DBGUI) permitindo a construção de links para cada um dos termos escolhidos, fazendo ligações automáticas para o MeSH, caso houvesse. Estes conceitos foram analisados no seu ambiente na literatura corrente, bem como os seus homólogos no MeSH, caso houvesse, e terminologias semânticas online a eles relacionadas. Resultados e Discussão: as regras em desenvolvimento terminológico aspiram cobrir todo o campo de um conceito, ao mesmo tempo em que podem auxiliar a evitar ruídos devido a aproximações e questões não exatamente relacionadas. Isto se refere à exaustividade e especificidade na recuperação da informação. Nossos achados mostram que referir-se somente ao MeSH na recuperação de informação em medicina de família pode induzir muito ruídos e uma pobre adequação em relação ao tema investigado. Conclusão: reunir conceitos em terminologias especialmente preparadas para um maior desenvolvimento de ontologias é uma necessidade para se adentrar na área da rede semântica e da era de dados disseminados em medicina de família.

Objetivo: este artículo parte II de las 'palabras de prevención' presenta en una forma terminológica el contenido de diez conceptos actuales utilizados en el dominio de la prevención que están estrechamente vinculados a la prevención cuaternaria: (1) sobreinformación; (2) sobrediagnóstico; (3) síntomas sin explicación médica; (4) sobremedicalización; (5) incidentaloma; (6) sobretamizaje; (7) sobretratamiento; (8) toma de decisiones compartida; (9) deprescripción; y (10) tráfico de enfermedades. Métodos: con el apoyo del equipo de laboratorio de la Universidad de Rouen, Francia, que se dedica a la terminología médica y las relaciones semánticas, fue posible utilizar la interfaz gráfica de usuario (llamado DBGUI) permitiendo la construcción de enlaces para cada uno de los términos elegidos, y estableciendo vínculos automáticos al MeSH, en su caso. Esos conceptos fueran analizados en el contexto de la literatura actual, así como en sus homólogos MeSH, en su caso, y terminologías semánticos relacionados online. Resultados y Discusión: las reglas en el desarrollo terminológico aspiran a cubrir la totalidad del ámbito del concepto y, mientras tanto, ayudan a evitar el ruido debido al proxy y temas no relacionados con exactitud. Esto se refiere a la exhaustividad y especificidad en la recuperación de informaciones. Nuestros hallazgos muestran que al referir-se solamente al MeSH la recuperación de información en Medicina General/Medicina Familiar puede inducir a mucho ruidos y mala adecuación al tema investigado. Conclusión: la recopilación de conceptos en terminologías especialmente preparados para un mayor desarrollo de ontologías es una necesidad para entrar en el área de la web semántica y en la era de los datos diseminados en medicina familiar.