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Background: Work-related shoulder disorders (WRSDs) significantly impact workers' health and well-being. Various factors contribute to WRSDs, including work environment, physical workload, psychological stressors, and an aging workforce. Despite numerous interventions proposed to address WRSDs, finding high-quality evidence to support any of them remains challenging. One potential reason is the lack of valid tools to measure physical workload and customize interventions. To address this, we developed a portable feedback system, the ShoulderWatchLoad (SWL), designed to estimate physical work demands on the shoulder. The objectives of this pilot study are (a) to evaluate the feasibility of implementing the SWL in the workplace and conducting a large-scale randomized clinical trial (RCT) by assessing recruitment success, intervention adherence, usability of the technology, and the research team's capacity to refine the SWL and (b) to explore the SWL capacity to reduce disability, pain, work limitations, and physical work demands while increasing pain self-efficacy among workers with WRSDs.
Methods/design: A convergent mixed methods pilot study will be conducted. The quantitative component will consist of a two-arm parallel group external pilot RCT involving 42 participants with WRSDs who will be randomized into one of the two study groups. Following baseline evaluation, all participants will attend an education session in the workplace. Following this session, participants of the experimental group will receive a 2-week workplace intervention using feedback from the SWL, while participants in the control group will not receive this intervention. All participants will undergo four evaluations over a 12-week period (baseline, 3rd, 6th, and 12th weeks). The qualitative component will be a interpretative descriptive qualitative study involving three focus groups with 21 participants from the experimental group. An innovative joint display will be used to represent the integration of qualitative and quantitative data, along with progression criteria, to draw meta-inferences about the feasibility of implementing the SWL in the workplace and conducting a full-scale RCT in the future.
Discussion: A holistic approach combining qualitative and quantitative elements will enable us to determine the SWL usability and whether the conduct of a full RCT is feasible.
Trial Registration: ClinicalTrials.gov NCT06693479.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12180215 | PMC |
http://dx.doi.org/10.1186/s40814-025-01646-0 | DOI Listing |
Build Environ
March 2025
National Institute for Occupational Safety and Health (NIOSH), Centers for Disease Control and Prevention (CDC), Morgantown, West Virginia, USA.
Influenza viruses can be aerosolized when slaughtering infected chickens, which increases the risk of zoonotic transmission. We conducted pilot experiments to measure the concentrations of airborne particles <2.5 μm during slaughtering and defeathering of chickens to help identify methods that can minimize workers' exposure to potentially hazardous aerosol particles.
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Department of Internal Medicine, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.
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July 2025
Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Problem-solving therapy (PST) is a brief psychological intervention often implemented for depression. Currently, there are no tools with well-evidenced reliability to measure PST fidelity. This pilot study aimed to measure the inter-rater reliability and agreement of the blem-Slving Therapy idelity (PROOF) scale, comprising binary 14-item adherence and an 8-item competence subscales.
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Butler Hospital, Providence, RI, United States.
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View Article and Find Full Text PDFMethodsX
December 2025
Department of Earth and Environmental Science, University of Waterloo, Waterloo, ON, Canada.
Human factors are central to aviation safety, with pilot cognitive states such as workload, stress, and situation awareness playing important roles in flight performance and safety. Although flight simulators are widely used for training and scientific research, they often lack the ecological validity needed to replicate pilot cognitive states from real flights. To address these limitations, a new in-flight data collection methodology for general aviation using a Cessna 172 aircraft, which is one of the most widely used aircraft for pilot training, is presented.
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