94 research outputs found

    A semi-automatic semantic method for mapping SNOMED CT concepts to VCM Icons

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    VCM (Visualization of Concept in Medicine) is an iconic language for representing key medical concepts by icons. However, the use of this language with reference terminologies, such as SNOMED CT, will require the mapping of its icons to the terms of these terminologies. Here, we present and evaluate a semi-automatic semantic method for the mapping of SNOMED CT concepts to VCM icons. Both SNOMED CT and VCM are compositional in nature; SNOMED CT is expressed in description logic and VCM semantics are formalized in an OWL ontology. The proposed method involves the manual mapping of a limited number of underlying concepts from the VCM ontology, followed by automatic generation of the rest of the mapping. We applied this method to the clinical findings of the SNOMED CT CORE subset, and 100 randomly-selected mappings were evaluated by three experts. The results obtained were promising, with 82 of the SNOMED CT concepts correctly linked to VCM icons according to the experts. Most of the errors were easy to fix

    User-centered design of the C3-cloud platform for elderly with multiple diseases - functional requirements and application testing

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    The number of patients with multimorbidity has been steadily increasing in the modern aging societies. The European C3-Cloud project provides a multidisciplinary and patient-centered “Collaborative Care and Cure-system” for the management of elderly with multimorbidity, enabling continuous coordination of care activities between multidisciplinary care teams (MDTs), patients and informal caregivers (ICG). In this study various components of the infrastructure were tested to fulfill the functional requirements and the entire system was subjected to an early application testing involving different groups of end-users. MDTs from participating European regions were involved in requirement elicitation and test formulation, resulting in 57 questions, distributed via an internet platform to 48 test participants (22 MDTs, 26 patients) from three pilot sites. The results indicate a high level of satisfaction with all components. Early testing also provided feedback for technical improvement of the entire system, and the paper points out useful evaluation methods

    L'équipe-projet HeKA

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    This article describe the Inria, Inserm, Univ. de Paris project team HeKA.International audienceHeKA est une équipe-projet de recherche commune à Inria, l’Inserm et l’Université de Paris. Plus précisément, HeKA, dépend du Centre de Recherche des Cordeliers et du Centre Inria de Paris. En plus de deux chercheurs Inria et Inserm, HeKA est composé de chercheurs hospitalo-universitaires de l’AP-HP associés à des services de l’Hôpital Européen Georges Pompidou, l’Hôpital Necker et de l’Institut Imagine. Les thèmes de recherche de l’équipe sont l’informatique médicale, les biostatistiques et les mathématiques appliquées pour l’aide à la décision clinique. Le terme HeKA est à la fois une référence à la divité égyptienne de la médecine et un acronyme pour Health data- and model- driven Knowledge Acquisition.L’équipe HeKA fait suite à l’équipe 22 (Information Sciences to support Personalized Medicine) dirigée par Anita Burgun au Centre de Recherche des Corderliers (Inserm, Université de Paris). La responsable de HeKA est Sarah Zohar, elle est secondée par Adrien Coulet

    Burden of cardiovascular disease across 29 countries and GPs' decision to treat hypertension in oldest-old

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    OBJECTIVES: We previously found large variations in general practitioner (GP) hypertension treatment probability in oldest-old (>80 years) between countries. We wanted to explore whether differences in country-specific cardiovascular disease (CVD) burden and life expectancy could explain the differences. DESIGN: This is a survey study using case-vignettes of oldest-old patients with different comorbidities and blood pressure levels. An ecological multilevel model analysis was performed. SETTING: GP respondents from European General Practice Research Network (EGPRN) countries, Brazil and New Zeeland. SUBJECTS: This study included 2543 GPs from 29 countries. MAIN OUTCOME MEASURES: GP treatment probability to start or not start antihypertensive treatment based on responses to case-vignettes; either low (/=50% started treatment). CVD burden is defined as ratio of disability-adjusted life years (DALYs) lost due to ischemic heart disease and/or stroke and total DALYs lost per country; life expectancy at age 60 and prevalence of oldest-old per country. RESULTS: Of 1947 GPs (76%) responding to all vignettes, 787 (40%) scored high treatment probability and 1160 (60%) scored low. GPs in high CVD burden countries had higher odds of treatment probability (OR 3.70; 95% confidence interval (CI) 3.00-4.57); in countries with low life expectancy at 60, CVD was associated with high treatment probability (OR 2.18, 95% CI 1.12-4.25); but not in countries with high life expectancy (OR 1.06, 95% CI 0.56-1.98). CONCLUSIONS: GPs' choice to treat/not treat hypertension in oldest-old was explained by differences in country-specific health characteristics. GPs in countries with high CVD burden and low life expectancy at age 60 were most likely to treat hypertension in oldest-old. Key Points * General practitioners (GPs) are in a clinical dilemma when deciding whether (or not) to treat hypertension in the oldest-old (>80 years of age). * In this study including 1947 GPs from 29 countries, we found that a high country-specific cardiovascular disease (CVD) burden (i.e. myocardial infarction and/or stroke) was associated with a higher GP treatment probability in patients aged >80 years. * However, the association was modified by country-specific life expectancy at age 60. While there was a positive association for GPs in countries with a low life expectancy at age 60, there was no association in countries with a high life expectancy at age 60. * These findings help explaining some of the large variation seen in the decision as to whether or not to treat hypertension in the oldest-old

    General practitioners' deprescribing decisions in older adults with polypharmacy: a case vignette study in 31 countries.

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    BACKGROUND General practitioners (GPs) should regularly review patients' medications and, if necessary, deprescribe, as inappropriate polypharmacy may harm patients' health. However, deprescribing can be challenging for physicians. This study investigates GPs' deprescribing decisions in 31 countries. METHODS In this case vignette study, GPs were invited to participate in an online survey containing three clinical cases of oldest-old multimorbid patients with potentially inappropriate polypharmacy. Patients differed in terms of dependency in activities of daily living (ADL) and were presented with and without history of cardiovascular disease (CVD). For each case, we asked GPs if they would deprescribe in their usual practice. We calculated proportions of GPs who reported they would deprescribe and performed a multilevel logistic regression to examine the association between history of CVD and level of dependency on GPs' deprescribing decisions. RESULTS Of 3,175 invited GPs, 54% responded (N = 1,706). The mean age was 50 years and 60% of respondents were female. Despite differences across GP characteristics, such as age (with older GPs being more likely to take deprescribing decisions), and across countries, overall more than 80% of GPs reported they would deprescribe the dosage of at least one medication in oldest-old patients (> 80 years) with polypharmacy irrespective of history of CVD. The odds of deprescribing was higher in patients with a higher level of dependency in ADL (OR =1.5, 95%CI 1.25 to 1.80) and absence of CVD (OR =3.04, 95%CI 2.58 to 3.57). INTERPRETATION The majority of GPs in this study were willing to deprescribe one or more medications in oldest-old multimorbid patients with polypharmacy. Willingness was higher in patients with increased dependency in ADL and lower in patients with CVD

    General practitioners’ perceptions of using virtual primary care during the COVID-19 pandemic: An international cross-sectional survey study

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    With the onset of COVID-19, general practitioners (GPs) and patients worldwide swiftly transitioned from face-to-face to digital remote consultations. There is a need to evaluate how this global shift has impacted patient care, healthcare providers, patient and carer experience, and health systems. We explored GPs’ perspectives on the main benefits and challenges of using digital virtual care. GPs across 20 countries completed an online questionnaire between June–September 2020. GPs’ perceptions of main barriers and challenges were explored using free-text questions. Thematic analysis was used to analyse the data. A total of 1,605 respondents participated in our survey. The benefits identified included reducing COVID-19 transmission risks, guaranteeing access and continuity of care, improved efficiency, faster access to care, improved convenience and communication with patients, greater work flexibility for providers, and hastening the digital transformation of primary care and accompanying legal frameworks. Main challenges included patients’ preference for face-to-face consultations, digital exclusion, lack of physical examinations, clinical uncertainty, delays in diagnosis and treatment, overuse and misuse of digital virtual care, and unsuitability for certain types of consultations. Other challenges include the lack of formal guidance, higher workloads, remuneration issues, organisational culture, technical difficulties, implementation and financial issues, and regulatory weaknesses. At the frontline of care delivery, GPs can provide important insights on what worked well, why, and how during the pandemic. Lessons learned can be used to inform the adoption of improved virtual care solutions and support the long-term development of platforms that are more technologically robust and secure

    Variation in GP decisions on antihypertensive treatment in oldest-old and frail individuals across 29 countries

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    BACKGROUND: In oldest-old patients (>80), few trials showed efficacy of treating hypertension and they included mostly the healthiest elderly. The resulting lack of knowledge has led to inconsistent guidelines, mainly based on systolic blood pressure (SBP), cardiovascular disease (CVD) but not on frailty despite the high prevalence in oldest-old. This may lead to variation how General Practitioners (GPs) treat hypertension. Our aim was to investigate treatment variation of GPs in oldest-olds across countries and to identify the role of frailty in that decision. METHODS: Using a survey, we compared treatment decisions in cases of oldest-old varying in SBP, CVD, and frailty. GPs were asked if they would start antihypertensive treatment in each case. In 2016, we invited GPs in Europe, Brazil, Israel, and New Zealand. We compared the percentage of cases that would be treated per countries. A logistic mixed-effects model was used to derive odds ratio (OR) for frailty with 95% confidence intervals (CI), adjusted for SBP, CVD, and GP characteristics (sex, location and prevalence of oldest-old per GP office, and years of experience). The mixed-effects model was used to account for the multiple assessments per GP. RESULTS: The 29 countries yielded 2543 participating GPs: 52% were female, 51% located in a city, 71% reported a high prevalence of oldest-old in their offices, 38% and had >20 years of experience. Across countries, considerable variation was found in the decision to start antihypertensive treatment in the oldest-old ranging from 34 to 88%. In 24/29 (83%) countries, frailty was associated with GPs' decision not to start treatment even after adjustment for SBP, CVD, and GP characteristics (OR 0.53, 95%CI 0.48-0.59; ORs per country 0.11-1.78). CONCLUSIONS: Across countries, we found considerable variation in starting antihypertensive medication in oldest-old. The frail oldest-old had an odds ratio of 0.53 of receiving antihypertensive treatment. Future hypertension trials should also include frail patients to acquire evidence on the efficacy of antihypertensive treatment in oldest-old patients with frailty, with the aim to get evidence-based data for clinical decision-making

    Patient Characteristics and General Practitioners’ Advice to Stop Statins in Oldest-Old Patients: a Survey Study Across 30 Countries

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    BACKGROUND: Statins are widely used to prevent cardiovascular disease (CVD). With advancing age, the risks of statins might outweigh the potential benefits. It is unclear which factors influence general practitioners' (GPs) advice to stop statins in oldest-old patients. OBJECTIVE: To investigate the influence of a history of CVD, statin-related side effects, frailty and short life expectancy, on GPs' advice to stop statins in oldest-old patients. DESIGN: We invited GPs to participate in this case-based survey. GPs were presented with 8 case vignettes describing patients > 80 years using a statin, and asked whether they would advise stopping statin treatment. MAIN MEASURES: Cases varied in history of CVD, statin-related side effects and frailty, with and without shortened life expectancy (< 1 year) in the context of metastatic, non-curable cancer. Odds ratios adjusted for GP characteristics (ORadj) were calculated for GPs' advice to stop. KEY RESULTS: Two thousand two hundred fifty GPs from 30 countries participated (median response rate 36%). Overall, GPs advised stopping statin treatment in 46% (95%CI 45-47) of the case vignettes; with shortened life expectancy, this proportion increased to 90% (95CI% 89-90). Advice to stop was more frequent in case vignettes without CVD compared to those with CVD (ORadj 13.8, 95%CI 12.6-15.1), with side effects compared to without ORadj 1.62 (95%CI 1.5-1.7) and with frailty (ORadj 4.1, 95%CI 3.8-4.4) compared to without. Shortened life expectancy increased advice to stop (ORadj 50.7, 95%CI 45.5-56.4) and was the strongest predictor for GP advice to stop, ranging across countries from 30% (95%CI 19-42) to 98% (95% CI 96-99). CONCLUSIONS: The absence of CVD, the presence of statin-related side effects, and frailty were all independently associated with GPs' advice to stop statins in patients aged > 80 years. Overall, and within all countries, cancer-related short life expectancy was the strongest independent predictor of GPs' advice to stop statins

    Conception et évaluation d'un système décisionnel informatisé basé sur le raisonnement des experts élaborant les guides de bonnes pratiques en antibiothérapie empirique

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    Context: CDSS (Clinical Decision Support System) for the empiric prescription of antibiotics present many limits: (i) recommendations are only given for clinical situations that are described in CPGs (Clinical Practice Guidelines); (ii) updating is infrequent; (iii) poor ergonomics is an impediment to clinical adoption. To overcome these limits, we propose an approach leading to a CDSS that is able to generate ecommendations as in CPGs, and to display recommendations in an interface supporting knowledge. Methods: Our approach consists in (i) extracting from CPGs the deep medical reasoning used by experts to establish recommendations, (ii) using the decision process in empiric antibiotherapy and the usability principles to design a pleasant interface. Results: The implementation of the medical reasoning of the experts as an algorithm using 12 properties of antibiotics, allows to retrieve automatically the recommended antibiotics for all clinical situations, without the intervention of the experts. These properties could be updated automatically thanks to others resources like drugs data bases. The design of an interface supporting knowledge according to the decision process in empiric antibiotherapy and the usability principles, improve significantly the perceived usability and the confidence in the system. Conclusion: The extrapolation of our approach to the chronic diseases should be assessed.Contexte : Les Systèmes d’Aide à la Décision (SAD) en antibiothérapie empirique présentent plusieurs limites : (i) leurs recommandations sont uniquement valables pour les profils patient décrits dans les Guides de Bonnes Pratiques cliniques (GBP) ; (ii) leur mise à jour est rare ; (iii) leur ergonomie défaillante gène leur adoption en pratique clinique courante. Pour pallier ces limites, nous proposons une approche conduisant à un SAD capable de générer automatiquement des recommandations, comme le font les experts qui écrivent les GBPs, et de les afficher dans une interface porteuse de connaissances, facile à utiliser. Méthodes : Notre démarche a consisté à (i) extraire des GBPs le raisonnement médical profond qu’utilisent les experts pour établir les recommandations ; (ii) utiliser le processus de décision en antibiothérapie empirique et les principes d’utilisabilité pour concevoir une interface agréable à utiliser. Résultats : L’implémentation du raisonnement médical des experts sous la forme d’un algorithme utilisant 12 propriétés des antibiotiques permet de retrouver automatiquement les antibiotiques recommandés quelle que soit la situation clinique, sans l’intervention des experts. Ces propriétés pourraient être mises à jour automatiquement via des ressources extérieures telles que les bases de données médicamenteuses. La création d’une interface porteuse de connaissances, selon le processus de décision en antibiothérapie et les principes d’utilisabilité, améliore significativement l’utilisabilité perçue et la confiance des médecins dans le système. Conclusion : L’extrapolation de notre approche à des pathologies chroniques mérite d’être étudiée
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