Docteur Hugo BERGIER

Bibliographie

• Evaluating the Portability of Rheumatoid Arthritis Phenotyping Algorithms: case study on French EHRs

  2023

  Congrès33rd Medical Informatics Europe Conference, MIE2023

• Portabilité des algorithmes de phénotypage: le cas de la polyarthrite rhumatoïde dans le dossier patient informatisé en français

  2022

  CongrèsTAL 2022 - Journée d’étude sur la robustesse des systemes de TAL

• Cluster analysis reveals three main patterns of beliefs and intention with respect to SARS-CoV-2 vaccination in patients with autoimmune and inflammatory diseases

  2021

  ArticleRheumatology

• Vaccination against COVID-19: Expectations and concerns of patients with autoimmune and rheumatic diseases

  2021

  ArticleThe Lancet Rheumatology

Source : HAL — archive ouverte CCSD/CNRS (couvre articles, chapitres EMC, communications congrès, thèses).

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Top publications · les plus citées

• 1

  Vaccination against COVID-19: Expectations and concerns of patients with autoimmune and rheumatic diseases

  The Lancet. Rheumatology · 2021

  📚 86 citations🎯 RCR 5.39Top 7% NIH🔓 Open Access📄 PDF gratuit ↗
• 2

  Digital health, big data and smart technologies for the care of patients with systemic autoimmune diseases: Where do we stand?

  Autoimmunity reviews · 2021

  📚 32 citations🎯 RCR 2.79Top 18% NIH
• 3

  Cluster analysis reveals three main patterns of beliefs and intention with respect to SARS-CoV-2 vaccination in patients with autoimmune and inflammatory diseases

  Rheumatology (Oxford, England) · 2021

  📚 23 citations🎯 RCR 1.59🔓 Open Access📄 PDF gratuit ↗

  Lire l'abstract Crossref ↓

  Abstract Introduction Given the COVID-19 pandemic, it is crucial to understand the underlying behavioural determinants of SARS-CoV-2 vaccine hesitancy in patients with autoimmune or inflammatory rheumatic diseases (AIIRDs). We aimed to analyse patterns of beliefs and intention regarding SARS-CoV-2 vaccination in AIIRD patients, as a mean of identifying pragmatic actions that could be taken to increase vaccine coverage in this population. Methods Data relating to 1258 AIIRD patients were analysed using univariate and multivariate logistic regression models, to identify variables associated independently with willingness to get vaccinated against SARS-CoV-2. Subsets of patients showing similar beliefs and intention about SARS-CoV-2 vaccination were characterized using cluster analysis. Results Hierarchical cluster analysis identified three distinct clusters of AIIRD patients. Three predominant patient attitudes to SARS-COV-2 vaccination were identified: voluntary, hesitant and suspicious. While vaccine willingness differed significantly across the three clusters (P < 0.0001), there was no significant difference regarding fear of getting COVID-19 (P = 0.11), the presence of comorbidities (P = 0.23), the use of glucocorticoids (P = 0.21), or immunocompromised status (P = 0.63). However, patients from cluster #2 (hesitant) and #3 (suspicious) were significantly more concerned about vaccination, the use of a new vaccine technology, lack of long-term data in relation to COVID-19 vaccination, and potential financial links with pharmaceutical companies (P < 0.0001 in all) than patients from cluster #1 (voluntary). Discussion Importantly, the differences between clusters in terms of patient beliefs and intention was not related to the fear of getting COVID-19 or to any state of frailty, but was related to specific concerns about vaccination. This study may serve as a basis for improved communication and thus help increase COVID-19 vaccine coverage among AIIRD patients.

Publications scientifiques (4) — classées par pathologie

Source PubMed · Recherche par auteur (homonymes possibles, vérifier l'affiliation).

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