98%
921
2 minutes
20
To mitigate barriers to care among youth (12-25 years), community-based organizations have increasingly integrated peer support as a complement to clinical mental health care; however, information regarding the integration process is lacking. To explore organizational perspectives regarding the contexts and mechanisms underlying integration of peer support for youth accessing mental health services from community-based, youth-serving organizations. Representatives from community-based youth-serving organizations completed a survey describing the contexts in which they are located and their experiences integrating peer support. Text responses were analyzed using directed content analysis. 21 organizations serving youth aged 11-29 years responded. Three generic categories were identified: 1) Context is key and safe environments, 2) Supportive organizations and valuing lived experience, 3) Benefits for peer support providers and receivers and purposeful integration into the organization. Peer support integration requires valuing of the lived experience of peers and creation of a safe organizational environment.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s10597-024-01440-x | DOI Listing |
JMIR Hum Factors
September 2025
KK Women's and Children's Hospital, Singapore, Singapore.
Background: Breast cancer treatment, particularly during the perioperative period, is often accompanied by significant psychological distress, including anxiety and uncertainty. Mobile health (mHealth) interventions have emerged as promising tools to provide timely psychosocial support through convenient, flexible, and personalized platforms. While research has explored the use of mHealth in breast cancer prevention, care management, and survivorship, few studies have examined patients' experiences with mobile interventions during the perioperative phase of breast cancer treatment.
View Article and Find Full Text PDFDisabil Rehabil Assist Technol
September 2025
Department of Special Needs Education and Rehabilitation, Department Pedagogy and Didactics for People with Physical and Motor Development Impairments and Chronic and Progressive Illnesses, Carl von Ossietzky University, Oldenburg, Germany.
Objectives: Many studies investigate the impact of assistive devices and technologies (AD/AT) on physical outcomes. The role of AD/ATs in everyday activities and participation of children with cerebral palsy (CP) has received much less attention. This review scopes the impact of AD/ATs by the activities and participation components of the International Classification of Functioning, Disability and Health (ICF) model.
View Article and Find Full Text PDFFam Cancer
September 2025
School of Social Policy and Practice, University of Pennsylvania, Philadelphia, USA.
Li-Fraumeni syndrome (LFS) is an early-onset cancer syndrome caused by pathogenic germline TP53 variants. Adolescents and young adults (AYAs) with LFS may have challenges navigating new romantic partnerships given the significant effects of LFS on multiple life domains that also affect partners (e.g.
View Article and Find Full Text PDFAJP 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.