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Scientific project of the INSERM Unit U1246 SPHERE

Psychological, cultural, behavioural, environmental and economic factors are recognized as potentially influencing the health and patients’ outcomes. However, in epidemiology and clinical research, addressing these "unique individual circumstances" remains a challenge. Researchers, physicians and policy-makers are indeed often faced with problems in measuring and interpreting patients' experiences, their adaptation to the disease, their relationships with their environment, their preferences and feelings, and the impact that the perception of their disease can have on their prognosis.

The unit SPHERE aims to promote patient-centred methodological research and to reinforce the contribution of patients-reported data (quality of life, fatigue, well-being…) in decision-making and assessment of care. Our scientific project takes place within three interacting axes developed in an interdisciplinary perspective: 1) measurement and interpretation of patients' perception and experience, 2) real-life evaluation taking into account the patient's environment, and 3) patient-centred stratified medicine. The objectives of the 3 axes are to propose adapted methodologies to better evaluate and understand patients’ adaptation to their disease and to provide improved interpretation of patients-reported outcomes, to take into account the environment of the patient in the pragmatic evaluation of patient’s management and prognosis, to integrate patients’ perspectives and preferences into medical decision making and prognostic evaluation.

Position for an Associate Professor in Biostatistics; Position for Engineer in UI/UX Design

L'EA4275-SPHERE recherche des candidats pour deux postes :

• une thèse en Biostatistique (Cliquer ici pour plus de détails)
• un poste d'ingénieur UI/UX Desin (Cliquer ici pour plus de détails)

New PhD and Master students

• Karima Hammas : Evaluation et comparaison de la qualité de vie des patients atteints de cancer en prenant en compte le phénomène d'adaptation des patients à leur maladie (Response-Shift) (2017)
• Yecodji Dansou : Analyse de l'étude CLIN-PCT (2017)
• Nicolas Sauvé : L’implication dans le jeu est-elle prédictive de l’évolution de la pratique de jeu ? (2017)
• Jeanne Simon-Pimmel : Performance d’un algorithme basé sur la procalcitonine en comparaison à un algorithme basé sur les recommandations ANAES pour le diagnostic d’infections néonatales: impact sur la prescription d’antibiotiques – Un essai randomisé en cluster en stepped-wedge (2017)
• Line Enjalbert : Evaluation de la qualité de vie et du vécu des patients sur liste d'attente d'une transplantation rénale : comparaison des patients préemptifs et des patients dialysés avec prise en considération du fonctionnement différentiel des items. (2017)

level-1 Master’s degree in “Bioinformatics – Biostatistics”

In 2012, a new level-1 Master’s degree in “Bioinformatics – Biostatistics” has been created. This Master offers the opportunity to pursue in two different level-2 Masters’ degrees: 1) “Modeling in Clinical Pharmacology and Epidemiology or 2) “Bioinformatics”

For more details, clic here, and you can contact Jean-Benoit Hardouin (referent for Biostatistiqcs), or Christine Sinoquet (referent for Bioinformatics).