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Purpose: This study aimed to explore the job experiences of early-career social workers with <2 years of experience in hospice and palliative care, examine the expectations of related stakeholders, and propose policy recommendations for the advancement of this field.
Methods: Two focus group interviews were conducted with 10 early-career social workers working in hospice and palliative care settings, and the findings were analyzed using a constant comparative method.
Results: The analysis revealed that while early-career social workers experienced personal growth and a sense of fulfillment in their roles, they also faced various challenges as they adapted to the unique environment and intervention approaches of hospice and palliative care teams. Hospice social workers are expected to serve as communication bridges between patients, caregivers, and medical staff while fulfilling their core responsibilities. However, a considerable gap was observed between these expectations and the realities of their work. For the advancement of hospice and palliative care, self-reflection and identity formation by social workers are necessary for personal transformation, while policy-level measures such as human resource management, job systematization, and organizational and systemic reform are also required.
Conclusion: This study provides valuable foundational data and clinical preparation guidelines for early-career social workers entering the hospice and palliative care field. Furthermore, it offers evidence supporting the policy and institutional changes essential for the continued development of hospice and palliative care.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12409083 | PMC |
http://dx.doi.org/10.14475/jhpc.2025.28.3.99 | DOI Listing |
J Workplace Behav Health
August 2025
Division of Field Studies and Engineering, National Institute for Occupational Safety and Health.
Firefighters often serve as emergency medical services providers and face repeated exposure to potentially traumatic events (PTEs) while participating in opioid overdose responses (OORs), which may impact their mental health. A survey of 173 firefighters who had participated in an OOR in the previous 6 months was used to assess exposure to PTEs during such events, job stress, mental health symptoms, and resources used to address mental health symptoms. Most firefighters (97%) reported experiencing one or more PTEs while responding to an opioid overdose in the past 6 months.
View Article and Find Full Text PDFWomens Health Rep (New Rochelle)
August 2025
Department of Communication, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Background: More than one third of academics are coupled with another academic, with more women being in such dual-career relationships. Little is known about how these couples' experiences affect their attrition from or persistence in academia.
Methods: We analyzed survey data of academics at 100 U.
Scand J Caring Sci
September 2025
Department of Maternity and Gynecological Nursing, Akdeniz University Nursing Faculty, Antalya, Turkey.
Introduction: One of the adverse effects on nurses is compassion fatigue. Compassion fatigue, which consists of job burnout and secondary traumatic stress, is known to be caused by physical and mental health problems. To improve the working conditions of nurses by nurse managers gained importance by recognising their compassion fatigue.
View Article and Find Full Text PDFPLoS One
September 2025
Faculdade de Psicologia, Universidade de Lisboa, Lisboa, Portugal.
Background: Self-leadership has been associated with several positive organizational outcomes (e.g., performance and innovation).
View Article and Find Full Text PDFBMJ Public Health
September 2025
Affiliated to Wenzhou Medical University, Evidence-Based Medicine Center, Taizhou Hospital of Zhejiang Province, Linhai, China.
Objective: The aim of this study is to analyse the factors affecting medical burnout in hospitals, identify the characteristics of staff experiencing high levels of burnout and devise a practical and sustainable prediction mechanism.
Methods: A survey was conducted to access the current situation, followed by a regression analysis using data from the Maslach Burnout Inventory General Survey, demographic information related to healthcare personnel and employee job satisfaction metrics from the hospitals under study. Subsequently, four predictive models-logistic regression, K-nearest neighbour, decision tree and random forest (RF)-were employed to predict the degree of healthcare burnout.