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✨ Génération du profil synthétique IA en cours…
Indicateurs publics agrégés sur 250 M+ d'œuvres scientifiques (OpenAlex, PubMed). Traduits ici en langage patient.
Influence scientifique
3
3 articles ont été cités au moins 3fois par d'autres chercheurs — preuve que ses travaux sont repris par la communauté médicale.
h-index
Total citations reçues
61
Nombre de fois où d'autres équipes ont mentionné ses publications dans leurs propres travaux.
Publications totales
4
Articles, revues et chapitres référencés dans les bases académiques internationales.
Articles influents
2
Publications ayant marqué leur domaine — chacune citée au moins 10 fois par d'autres chercheurs.
i10-index
Thématiques principales
Secteur de conventionnement non disponible (médecin hospitalier ou non présent dans l'Annuaire santé CNAM des libéraux conventionnés).
Lien Doctolib = recherche Google site:doctolib.fr (le 1er résultat est presque toujours le profil correct s'il existe).
International journal for equity in health · 2015
European journal of emergency medicine : official journal of the European Society for Emergency Medicine · 2018
Objectives Frequent Emergency Department (ED) users have an elevated mortality, yet little is known about risk factors. Our aim was to characterize deceased frequent ED users and determine predictors of mortality. Methods This is a post-hoc analysis of all-cause mortality among frequent ED users participating in a randomized clinical trial on case management at the Lausanne University Hospital (Switzerland). We enrolled 250 frequent ED users (5+ visits/past year) in a 12-month randomized clinical trial; those with an estimated survival of fewer than 18 months were excluded. The primary outcome was 12-month all-cause mortality. We performed descriptive statistics to compare the baseline characteristics of living and deceased participants, and examined predictors of all-cause mortality using logistic regressions, including age adjustment. Results Twenty of the 250 (8%) frequent users died during the 12-month follow-up. Seven (35%) deaths were because of cardiac causes and six (30%) were because of cancer. The median age at death was 71 years. Deceased participants were older and more likely to report any somatic determinant, chronic illness, and medical comorbidity. Age (odds ratio 1.07, 95% confidence interval 1.04–1.11) and medical comorbidity (odds ratio 4.76, 95% confidence interval 1.86–12.15) were statistically significant predictors of mortality. Conclusion Despite excluding those with an estimated survival of fewer than 18 months, 8% of frequent ED users died during the study. Age and medical comorbidity were significant predictors of mortality. Interventions, such as case management, should target older frequent ED users and those with multiple medical conditions, and future research should explore their potential impact on mortality.
Source PubMed · Recherche par auteur (homonymes possibles, vérifier l'affiliation).
European journal of emergency medicine : official journal of the European Society for Emergency Medicine · 2018 · Journal Article
Griffin JL, Yersin M, Baggio S, Iglesias K, et al.
International journal for equity in health · 2015 · Clinical Study
Bodenmann P, Baggio S, Iglesias K, Althaus F, et al.
Characterizing the vulnerability of frequent emergency department users by applying a conceptual framework: a controlled, cross-sectional study
Abstract Background Frequent emergency department (ED) users meet several of the criteria of vulnerability, but this needs to be further examined taking into consideration all vulnerability’s different dimensions. This s
Characterizing the vulnerability of frequent emergency department users by applying a conceptual framework: a controlled, cross-sectional study
Abstract Background Frequent emergency department (ED) users meet several of the criteria of vulnerability, but this needs to be further examined taking into consideration all vulnerability’s different dimensions. This s
Source : DataCite — DOIs pour datasets, logiciels, protocoles, registres patient. Hors articles (déjà couverts).
Données ANS publiques (Licence Ouverte 2.0) · Enrichissements MonRhumato 100 % opt-in · Toute personne référencée peut demander la suppression ou la rectification.
Affiliations FR : Evaluation et recherche en services et politiques en santé pour les populations vulnérables
Source : OpenAlex (CC0, OurResearch). Indicateurs académiques agrégés sur 250 M+ d'œuvres.
Krankenpflege. Soins infirmiers · 2014
Krankenpflege. Soins infirmiers · 2014 · Journal Article
Allen MC, Ansermet C, Schüpbach J, Vu F, et al.