Conectar
To investigate the prevalence and risk factors associated with burnout among residents and to explain their experiences with burnout.
Mixed-methods convergent parallel study with an explanatory follow-up.
One tertiary hospital in Mirebalais and one community hospital in Saint-Marc.
Of the 127 registered residents in both settings, 26 were excluded because they were on leave. Therefore, 101 were asked to participate. We received responses from 98 residents (response rate 97.02%).
Data collection took part in two stages: quantitative data collection was first made over a 2-week period in July 2023 using a questionnaire which included the Maslach Burnout Inventory. We simultaneously conducted a qualitative analysis based on three questions around which stress factors were related to work, personal fulfilment and social issues in the questionnaire. Second, following preliminary data results, one focus group was held with the seven chief residents to bring an in-depth understanding of the quantitative data analysis from the study questionnaire.
Sociodemographic and clinical factors linked to burnout for quantitative data. The themes explored for qualitative data were stress factors related to work, personal fulfilment and social issues. One focus group held with the chief residents explained, based on preliminary results, the main causes of burnout among medical residents, influencing factors, coping strategies and perspectives.
Five major findings emerged from the quantitative data, including the following: (a) burnout prevalence was 79.59%; (b) 43% of the residents estimated working more than 80 hours/week; (c) the group with the highest burnout rates were the second-year postgraduate residents (p=0.01); (d) paediatrics and family medicine residents had the highest mean score of emotional exhaustion (p=0.01); (e) general surgery/orthopaedics and paediatrics had the highest mean score of depersonalisation (p
Burnout prevalence was significantly high. The medical education department needs to implement initiatives that improve patient healthcare, boost the residents’ morale and comply with accreditation standards. A cohort study or quality improvement project investigating the impact of interventions might also be suitable, or a study at different times of the academic year and in a less volatile period of time in Haiti might provide a more complete picture of the onset of this syndrome.
by Adèle Mangelinck, Elodie Molitor, Ibtissam Marchiq, Lamine Alaoui, Matthieu Bouaziz, Renan Andrade-Pereira, Hélène Darville, Etienne Becht, Céline Lefebvre
Improving the selectivity and effectiveness of drugs represents a crucial issue for future therapeutic developments in immuno-oncology. Traditional bulk transcriptomics faces limitations in this context for the early phase of target discovery as resulting gene expression levels represent the average measure from multiple cell populations. Alternatively, single cell RNA sequencing can dive into unique cell populations transcriptome, facilitating the identification of specific targets. Here, we generated Tumor-Infiltrating regulatory T cells (TI-Tregs) and exhausted T cells (Tex) gene signatures from a single cell RNA-seq pan-cancer T cell atlas. To overcome noise and sparsity inherent to single cell transcriptomics, we then propagated the gene signatures by diffusion in a protein-protein interaction network using the Patrimony high-throughput computing platform. This methodology enabled the refining of signatures by rescoring genes based on their biological connectivity and shed light not only on processes characteristics of TI-Treg and Tex development and functions but also on their immunometabolic specificities. The combined use of single cell transcriptomics and network propagation may thus represent an innovative and effective methodology for the characterization of cell populations of interest and eventually the development of new therapeutic strategies in immuno-oncology.
FreshRSS 