Background: Given the emotional demanding nature of social services, we developed a brief daily body-mind-spirit (BMS) program and successfully piloted it with workers at elderly services. The proposed study focuses on community mental health workers who are often under chronic stress and vulnerable to burnout.
Methods: The study aims to evaluate the program for fostering sustainable emotional capacity and work engagement for community mental health workers. A multi-site randomized controlled trial design is adopted. All the 24 the Integrated Community Centre for Mental Wellness (ICCMW of Hong Kong will be approached to join this program. Assuming conservatively, 60% ICCWM (14 centers) will respond and participate. At each site, a pair of intervention and control groups will be run. The targeted total sample size is 224. To investigate the course of changes in burnout and engagement, each group will last 6 months, including 3-month intervention and 3-month follow-up. Measures will be taken at monthly intervals.
Discussion: In light of literature and the pilot trial's findings, participants in the Brief Daily BMS intervention group are expected to have a reduced burnout level and a narrowing of range in work engagement during the 3 months intervention. And within the 3 months post-intervention period, a rebound of burnout level and a widening of range in work engagement are expected to be observed in the same group of participants. Hopefully, this study will contribute to the deeper understanding of burnout and work engagement, and shed light on sustainable intervention for emotionally demanding workplaces.
Clinical Trial Registration: The trial has been registered in the Clinical Trials Centre of the University of Hong Kong. HKUCTR-2763 Registered 27 December 2019 - Retrospectively registered, http://www.hkuctr.com/Study/Show/eb930d24e2c647afb7a922055163f24b.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332841 | PMC |
http://dx.doi.org/10.3389/fpsyg.2020.01482 | DOI Listing |
Int J Comput Assist Radiol Surg
January 2025
Faculty of Computer Science and Research Campus STIMULATE, Otto-von-Guericke University of Magdeburg, Magdeburg, Germany.
Purpose: Structured abdominal examination is an essential part of the medical curriculum and surgical training, requiring a blend of theory and practice from trainees. Current training methods, however, often do not provide adequate engagement, fail to address individual learning needs or do not cover rare diseases.
Methods: In this work, an application for structured Abdominal Examination Training using Augmented Reality (AETAR) is presented.
BMC Geriatr
January 2025
Community Medicine and Rehabilitation, Physiotherapy, Umeå University, Umeå, Sweden.
Background: Physical activity and exercise are promoted worldwide as effective interventions for healthy ageing. Various exercise initiatives have been developed and evaluated for their efficacy and effectiveness among older populations. However, a deeper understanding of participants' experiences with these initiatives is crucial to foster long-term activity and exercise among older persons.
View Article and Find Full Text PDFMidwifery
December 2024
Health Systems and Equity, Eastern Health Clinical School, Monash University, Australia. Electronic address:
Problem/ Background: The acceptability of providing women with personalised cardiometabolic risk information using risk prediction tools early in pregnancy is not well understood.
Aim: To explore women's and healthcare professionals' perspectives of the acceptability of a prognostic, composite risk prediction tool for cardiometabolic risk (gestational diabetes and/or hypertensive disorders of pregnancy) for use in early pregnancy.
Methods: Semi-structured interviews were conducted to explore the acceptability of cardiometabolic risk prediction tools, preferences for risk communication and considerations for implementation into antenatal care.
Acta Psychol (Amst)
January 2025
Department of English Language, College of Arts, King Faisal University, Al Ahsa, Saudi Arabia.
This study investigates the combined impact of artificial intelligence (AI) tools and Uncertain Motivation (UM) strategies on the argumentative writing performance of Saudi EFL learners, using the Toulmin Model. Sixty Saudi EFL students participated in four writing tasks, with results demonstrating significant improvements in essay quality, particularly in clarity, structure, and depth. AI tools provided real-time feedback, enhancing students' ability to refine claims, data, backing, and counterarguments.
View Article and Find Full Text PDFSci Total Environ
January 2025
School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, India; Department of Mining Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, India.
Coastal ecosystems are increasingly threatened by the accumulation of marine litter globally. Limited data availability along India's eastern coast hinders targeted mitigation efforts. This study assesses coastal litter along Visakhapatnam, a smart city on India's eastern coast, using the NOAA shoreline debris protocol.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!