Methodological approaches

In order to investigate these themes, three methodological approaches, combining skills, expertise and equipment, support the work of the unit's researchers:

1 Mixed methods (quanti/quali) approaches :

Quantitative methods are absolutely necessary, but lack the depth to understand the processes leading to the observed results. They must be complemented by qualitative methods to identify the sometimes unforeseen determinants, and to study the processes that enable the implementation of interventions. Our research in this area uses methods from the sciences of implementation and evaluation of complex interventions, and allows for the co-construction and evaluation of the impact and implementation of innovative solutions.

2 Data warehouse analysis approaches :

Particularly useful for studying real-life health services, the use of local (EDS HCL) and national (PMSI-SNDS) data warehouses allows the study of health professionals' performance by considering their intrinsic and extrinsic determinants as well as patient adherence. The exploitation of data collected in the context of care allows us to constitute cohorts of professionals whose health data can be matched with those of their patients and ad hoc questionnaires.

3 Approaches in high-fidelity simulated environments :

Immersive simulated environments provide considerable opportunities for studying the human factors that modify the individual or team performance of health professionals. By mimicking clinical situations of varying complexity, simulation allows us to both observe the behavior of professionals and to test the effectiveness of learning techniques. It also allows the development of useful tools and cognitive aids for the management of critical situations that can then be tested in the field in the real world.