78 research outputs found

    USING ESDM 12 HOURS PER WEEK IN CHILDREN WITH AUTISM SPECTRUM DISORDER: FEASIBILITY AND RESULTS OF AN OBSERVATIONAL STUDY

    Get PDF
    Background: Early intervention for Autism Spectrum Disorder (ASD) in France is heterogeneous and poorly evaluated to date. Early Start Denver Model (ESDM) is a developmental and behavioral model ofintervention for toddlers with ASD which has already shown very interesting outcomes on the development of children with ASD in various studies with different settings. However, it is not possible with the current research to agree on the best setting. Thus, we implemented an ESDM program according to our context where children are often pre-schooling early from 30 months old. This therapy was applied by a multidisciplinary team working in close collaboration with parents and other partners. Subjects and methods: A prospective observational study including 19 toddlers with ASD was conducted. We evaluated improvement on the cognitive level of toddlers with ASD receiving therapist-delivered ESDM intervention for 12 hours per week. Results: Significant improvements in verbal and nonverbal cognitive skills at the Mullen Scale of Early Learning were obtained after 10 months of intervention in our sample. The largest improvement was in receptive language development quotient with a mean improvement of 19.6 points. We also observed promising outcomes in daily adaptive behavior, with a slight improvement in communication at the Vineland Adaptive Behavioral Scale. These outcomes, when compared to the conclusions of previous studies, are leading us to the need for a therapy duration beyond 10 months. Conclusions: Our outcomes were very encouraging even with lowcognitive and nonverbal children. These outcomes may be confirmed in a multicenter randomized controlled trial that is ongoing

    Influence of Experience on Performance of Individual Surgeons in Thyroid Surgery: Prospective Cross Sectional Multicentre Study

    Get PDF
    Objective: To determine the association between surgeons’ experience and postoperative complications in thyroid surgery. Design: Prospective cross sectional multicentre study. Setting: High volume referral centres in five academic hospitals in France. Participants: All patients who underwent a thyroidectomy undertaken by every surgeon in these hospitals from 1 April 2008 to 31 December 2009. Main outcome measures: Presence of two permanent major complications (recurrent laryngeal nerve palsy or hypoparathyroidism), six months after thyroid surgery. We used mixed effects logistic regression to determine the association between length of experience and postoperative complications. Results: 28 surgeons completed 3574 thyroid procedures during a one year period. Overall rates of recurrent laryngeal nerve palsy and hypoparathyroidism were 2.08% (95% confidence interval 1.53% to 2.67%) and 2.69% (2.10% to 3.31%), respectively. In a multivariate analysis, 20 years or more of practice was associated with increased probability of both recurrent laryngeal nerve palsy (odds ratio 3.06 (1.07 to 8.80), P=0.04) and hypoparathyroidism (7.56 (1.79 to 31.99), P=0.01). Surgeons’ performance had a concave association with their length of experience (P=0.036) and age (P=0.035); surgeons aged 35 to 50 years had better outcomes than their younger and older colleagues. Conclusions: Optimum individual performance in thyroid surgery cannot be passively achieved or maintained by accumulating experience. Factors contributing to poor performance in very experienced surgeons should be explored further

    AI-based diagnosis in mandibulofacial dysostosis with microcephaly using external ear shapes

    Get PDF
    IntroductionMandibulo-Facial Dysostosis with Microcephaly (MFDM) is a rare disease with a broad spectrum of symptoms, characterized by zygomatic and mandibular hypoplasia, microcephaly, and ear abnormalities. Here, we aimed at describing the external ear phenotype of MFDM patients, and train an Artificial Intelligence (AI)-based model to differentiate MFDM ears from non-syndromic control ears (binary classification), and from ears of the main differential diagnoses of this condition (multi-class classification): Treacher Collins (TC), Nager (NAFD) and CHARGE syndromes.MethodsThe training set contained 1,592 ear photographs, corresponding to 550 patients. We extracted 48 patients completely independent of the training set, with only one photograph per ear per patient. After a CNN-(Convolutional Neural Network) based ear detection, the images were automatically landmarked. Generalized Procrustes Analysis was then performed, along with a dimension reduction using PCA (Principal Component Analysis). The principal components were used as inputs in an eXtreme Gradient Boosting (XGBoost) model, optimized using a 5-fold cross-validation. Finally, the model was tested on an independent validation set.ResultsWe trained the model on 1,592 ear photographs, corresponding to 1,296 control ears, 105 MFDM, 33 NAFD, 70 TC and 88 CHARGE syndrome ears. The model detected MFDM with an accuracy of 0.969 [0.838–0.999] (p < 0.001) and an AUC (Area Under the Curve) of 0.975 within controls (binary classification). Balanced accuracies were 0.811 [0.648–0.920] (p = 0.002) in a first multiclass design (MFDM vs. controls and differential diagnoses) and 0.813 [0.544–0.960] (p = 0.003) in a second multiclass design (MFDM vs. differential diagnoses).ConclusionThis is the first AI-based syndrome detection model in dysmorphology based on the external ear, opening promising clinical applications both for local care and referral, and for expert centers

    Improve the quality of clinical practice in hospitals : methodology of evaluation of complex interventions

    No full text
    Améliorer la qualité des soins à l'hôpital reste un enjeu. Mettre en place des interventions efficaces pour changer les pratiques cliniques et les évaluer avec une méthodologie adaptée est crucial. L'objectif de ce travail est de proposer une démarche d'évaluation des interventions complexes. Dans une première partie, nous présentons et discutons quatre études conduites en milieu hospitalier. Celles-ci ont permis de dégager les spécificités méthodologiques des évaluations des interventions complexes que nous développons dans une seconde partie. De ce travail, nous retenons les éléments suivants : la conception d'interventions efficaces repose sur la connaissance des freins au changement de pratique et des facteurs favorisants ; l'évaluation de l'impact dispose de différentes alternatives méthodologiques ; les approches sont pragmatiques, intégrées au contexte local. En contrepartie, la validité interne de l'étude est souvent affectée par l'absence de comparabilité initiale des groupes et l'absence d'insu des professionnels. Le processus d'implémentation et les facteurs contextuels doivent être compris pour interpréter les résultats des études et pour pouvoir transposer l'intervention. Nous proposons une démarche en 5 étapes pour l'élaboration et l'évaluation des interventions complexes : I. Conception de l'intervention, II. Déploiement, III. Evaluation de l'impact, IV. Transférabilité et V. Pérennité. Une grille est proposée pour guider la réalisation de chacune de ces étapes. Les perspectives de recherche sont de prendre en compte la préférence des professionnels dans les essais d'intervention, d'intégrer les connaissances en sciences humaines sur les changements de comportement pour concevoir les interventions et en comprendre les effets, et de développer des approches mixtes combinant des résultats qualitatifs et quantitatifs pour conclure sur l'impact des interventionsImproving the quality of hospital care remains a challenge. Setting up effective interventions to change clinical practices and evaluating them with an appropriate methodology is crucial. The objective of this work is to propose a process to evaluate complex interventions. In a first part, we discuss four studies conducted in hospitals. They allowed us to identify the methodological specificities of the evaluations of complex interventions that we develop in a second part. From this work, we take away the following items. Effective interventions are based on the knowledge of barriers and facilitators to change clinical practices. Various methodological approaches exist to evaluate the impact of complex interventions. These approaches are pragmatic, integrated into the local context. On the flip side, the internal validity of the study is often impacted by the lack of comparability of the original groups and the lack of blinding of the professionals; the implementation process and contextual factors need to be understood to interpret the results and to be able to transfer the intervention. We propose a 5-step approach for the development and the evaluation of complex interventions: I. Design II. Implementation, III. Impact assessment, IV. Transferability and V. Sustainability. A grid is provided in order to guide the completion of each of these steps. The research perspectives are: take into account the preference of professionals in intervention trials, integrate knowledge about behavior change to design interventions and understand the effects, and develop joint approaches combining qualitative and quantitative results to conclude on the impact of intervention

    La Prise en charge du diabète gestationnel

    No full text
    LYON1-BU Santé (693882101) / SudocPARIS-BIUM (751062103) / SudocSudocFranceF

    Evaluation des coûts ambulatoires et hospitaliers dans la mucoviscidose

    No full text
    LYON1-BU Santé (693882101) / SudocSudocFranceF
    • …
    corecore