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Objectives: The introduction of the first French professional peer support workers training program. (« Médiateurs de santé pairs en santé mentale ») led to a series of evaluations. After a number of qualitative studies demonstrating benefits of peer support for all stakeholders, our objective was to evaluate its direct effects for users by focusing on repeated quantitative measures: global functioning and self-stigma scores. The hypothesis was that peer support would improve the former and decrease the latter.
Method: The procedure was based on a one-year follow-up of two groups of mental health service users. Both groups received usual care, either with or without additional peer support. All of them were asked to respond to three questionnaires at the beginning of the study and 6 and 12 months later: a sociodemographic and clinical questionnaire, a global functioning scale and a self-stigmatization scale. Samples included 85/64/35 participants at the three stages for the PHM group, and 205/157/105 for the control group.
Results: Peer support improved global functioning. Nevertheless, it had no impact on self-stigmatization scores which remained rather low throughout the observational period.
Conclusions: Despite difficulties concerning follow-up of service users during the course of the study and the reluctance to integrate a new profession based on experiential knowledge, it appears that the hope of recovery can improve global functioning of people with mental disorders. The reasons for low self-stigmatization and its stability over time remain to be explored.
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http://dx.doi.org/10.1016/j.encep.2023.08.011 | DOI Listing |
AJP Rep
July 2025
Allo Hope Foundation, Tuscaloosa, Alabama.
Objective: The purpose of this study was to investigate mental health and impacts upon daily life in patients with a history of pregnancy alloimmunization, and secondarily to examine the relationship between disease severity and quality of care on these outcomes.
Study Design: This was a survey administered between November 2022 and February 2023 to U.S.
Front Rehabil Sci
August 2025
Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, CA, United States.
Introduction: Spinal cord injury (SCI) presents a significant burden to patients, families, and the healthcare system. The ability to accurately predict functional outcomes for SCI patients is essential for optimizing rehabilitation strategies, guiding patient and family decision making, and improving patient care.
Methods: We conducted a retrospective analysis of 589 SCI patients admitted to a single acute rehabilitation facility and used the dataset to train advanced machine learning algorithms to predict patients' rehabilitation outcomes.
Front Immunol
September 2025
Clinical Nutrition and Dietetics Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
In the last decades, immunotherapy has revolutionized cancer treatment. Despite its success, a significant number of patients fail to respond, and the underlying causes of ineffectiveness remain poorly understood. Factors such as nutritional status and body composition are emerging as key predictors of immunotherapy outcomes.
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September 2025
Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
NSG-SGM3 humanized mouse models are well-suited for studying human immune physiology but are technically challenging and expensive. We previously characterized a simplified NSG-SGM3 mouse, engrafted with human donor CD34 hematopoietic stem cells without receiving prior bone marrow ablation or human secondary lymphoid tissue implantation, that still retains human mast cell- and basophil-dependent passive anaphylaxis responses. Its capacities for human antibody production and human B cell maturation, however, remain unknown.
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August 2025
Center for Applied Genetic Technologies, University of Georgia, Athens, GA, United States.
This study introduces a Drought Adaptation Index (DAI), derived from Best Linear Unbiased Prediction (BLUP), as a method to assess drought resilience in switchgrass ( L.). A panel of 404 genotypes was evaluated under drought-stressed (CV) and well-watered (UC) conditions over four consecutive years (2019-2022).
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