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Validation of the Shared Happiness Index in Multidisciplinary Primary Care Practices ( Be aPi )

Centre Hospitalier Universitaire de la Réunion · 2026
ClinicalTrials.gov · Datasets · License: Public Domain · 2026
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burnoutprimary-carewell-being
Multi-professional primary care practices (Maisons de Santé Pluriprofessionnelles, MSP) have expanded widely in France over the last decade to respond to increasing healthcare needs, uneven distribution of physicians, and deteriorating working conditions, which were further exacerbated by the COVID-19 pandemic. MSPs are expected to offer more collaborative and coordinated care, and to provide a more attractive work environment, particularly for younger healthcare professionals seeking less isolation and better work-life balance. Well-being at work for healthcare professionals is now recognised as a key determinant of quality and safety of care. Studies have shown links between staff satisfaction, burnout, and patient outcomes, including communication quality, error rates and staff retention. However, research specifically focused on collective well-being or "shared happiness" within multi-professional primary care teams remains limited. Existing work in French MSPs (notably qualitative studies by F. Burté and O. Caillaud) has identified relevant dimensions of "shared happiness" and led to the preliminary construction of a questionnaire named the Shared Happiness Index (Indice de Bonheur Partagé, IBP). To date, no validated, standardised instrument exists to measure this collective well-being in MSPs. The Be\_aPi study aims to validate the IBP questionnaire among healthcare professionals working in MSPs. The study is observational, descriptive and cross-sectional, conducted in several French regions covered by the GIRCI (Groupement Interrégional de Recherche Clinique et Innovation) SOHO (Sud-Ouest Outre-Mer Hospitalier) network (Nouvelle-Aquitaine, Occitanie, Réunion and Mayotte). It comprises three main steps. First, a content validation phase will be carried out with two independent panels of experts. One panel, including psychometrics, methodology and linguistics experts and MSP representatives, will assess face validity by examining each item in relation to the
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