La recherche au service de la performance en Santé
U.INSERM 1290 - La recherche au service de la performance en Santé
Université Claude Bernard Lyon 1
U.INSERM 1290 - La recherche au service de la performance en Santé

Actualités du laboratoire Hesper

Réunion Scientifique RESHAPE

7 mai 2021

- Sarah Skinner : « Surgical Coaching »

- Discutant : Jean-Christophe Lifante

Surgical coaching is gaining attention as an approach that could help surgeons optimize performance and improve overall wellbeing. However, surgical coaching programs and definitions of coaching vary widely between studies, which have reported inconclusive effects. In this scoping review, we aimed to characterize quantitative studies on coaching interventions for professional surgeons to understand how surgical coaching is defined, examine how different coaching programs are designed, implemented, and evaluated, and identify any relevant research gaps.



Réunion Scientifique RESHAPE

30 avril à 12h30 :

- Jenny Mc Sharry de Galway : « Stakeholder engagement in health behaviour change research : Approaches and considerations »

Overview :

A key challenge for healthcare systems is the substantial gap between research evidence and routine practice, as emphasised by the World Health Organisation “neglecting implementation challenges costs lives and money”. The need to bridge the research-practice gap has led to increased emphasis by funders and policy makers on implementation and knowledge translation methods and the inclusion of stakeholders, and members of the public, in the conduct of research.

This presentation will describe case-examples of stakeholder engagement at the Health Behaviour Change Research Group at the National University of Ireland, Galway and discuss approaches and considerations for involving stakeholders in research.

Bio :

Dr Jenny Mc Sharry is a chartered Health Psychologist and lecturer in the School of Psychology at the National University of Ireland, Galway. Jenny is the Assistant Director of the Health Behaviour Change Research Group, an international centre of excellence in health behaviour change intervention development, evaluation and implementation. Jenny leads a programme of research that takes a systematic approach to behaviour change to address current health priorities and healthcare challenges. Jenny has a particular interest in implementation science, and the application of behaviour change to promote the uptake of research into practice.

Correction to: Beyond the map: evidencing the spatial dimension of health inequalities

Yohan Fayet, Delphine Praud, Béatrice Fervers, Isabelle Ray-Coquard, Jean-Yves Blay, Françoise Ducimetiere, Guy Fagherazzi & Elodie Faure


Spatial inequalities in health result from different exposures to health risk factors according to the features of geographical contexts, in terms of physical environment, social deprivation, and health care accessibility. Using a common geographical referential, which combines indices measuring these contextual features, could improve the comparability of studies and the understanding of the spatial dimension of health inequalities.


We developed the Geographical Classification for Health studies (GeoClasH) to distinguish French municipalities according to their ability to influence health outcomes. Ten contextual scores measuring physical and social environment as well as spatial accessibility of health care have been computed and combined to classify French municipalities through a K-means clustering. Age-standardized mortality rates according to the clusters of this classification have been calculated to assess its effectiveness.


Significant lower mortality rates compared to the mainland France population were found in the Wealthy Metropolitan Areas (SMR = 0.868, 95% CI 0.863–0.873) and in the Residential Outskirts (SMR = 0.971, 95% CI 0.964–0.978), while significant excess mortality were found for Precarious Population Districts (SMR = 1.037, 95% CI 1.035–1.039), Agricultural and Industrial Plains (SMR = 1.066, 95% CI 1.063–1.070) and Rural Margins (SMR = 1.042, 95% CI 1.037–1.047). 

Réunion Scientifique RESHAPE

9 avril à 12h30 :

Vincent Lequertier : « Taking back control of artificial intelligence: towards a more transparent and fair AI »

Artificial intelligence (AI) is now widespread for critical tasks in healthcare such inpatient care planning, mortality risk assessment or phenotyping. It is also gaining traction for other, non-healthcare related tasks such as law enforcement, the justice system, or job application reviews. Because it has more and more impact on our lives, it becomes essential to make AI-based software that is transparent and fair. This presentation will explain the problems surrounding AI transparency and fairness as well as possible solutions.