Background: The aim of this study is to examine operative flow disruption that occurs inside the surgical field, (internal operative flow disruption (OFD)), during urological laparoscopies, and to relate those events to external ergonomics environment in terms of monitor location, level of instruments' handles, and location of surgical team members. According to the our best knowledge, this is the first study of its kind.
Methods: A combination of real and video-aided observational study was conducted in the operating rooms at hospitals in Australia and China. Brain storming sessions were first conducted to identify the main internal OFD events, and the observable reasons, potential external, and latent ergonomic factors were listed. A prospective observational study was then conducted. The observer's records and the related video records of internal surgical fields were analysed. Procedures were categorised into groups based on similarity in ergonomics environment.
Results: The mapping process revealed 39 types of internal OFD events resulted from six reasons. A total of 24 procedures were selected and arranged into two groups, each with twelve procedures. Group A was carried out under satisfactory ergonomics environment, while Group B was conducted under unsatisfactory ergonomics environment. A total of 1178 OFD events were detected delaying the total observed operative times (2966 min) by 220 min (7.43%). Average OFD/h in group A was less than 15, while in group B about 29 OFD/h.
Conclusion: There are two main latent ergonomics factors affecting the surgeon's performance; non-physiological posture and long-period static posture. The delays and number of internal OFD were nearly doubled where procedures were conducted under unsatisfactory external ergonomics environment. Some events such as stopping operation and irrelevant conversations during long procedures may have a positive influence on the surgeon's performance.
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http://dx.doi.org/10.1007/s00464-017-5568-z | DOI Listing |
Sensors (Basel)
December 2024
Deustotech, University of Deusto, Avda. Universidades 24, 48007 Bilbao, Spain.
This work addresses the task allocation problem in spatial crowdsensing with altruistic participation, tackling challenges like declining engagement and user fatigue from task overload. Unlike typical models relying on financial incentives, this context requires alternative strategies to sustain participation. This paper presents a new solution, the Volunteer Task Allocation Engine (VTAE), to address these challenges.
View Article and Find Full Text PDFInt J Environ Res Public Health
December 2024
Health Surveillance Service, Local Healthcare Unit Roma4, 00053 Civitavecchia, Italy.
Workplace violence (WV) is a ubiquitous, yet under-reported and under-studied phenomenon. Prevention measures may be ineffective because risk assessment is often based on unvalidated algorithms. After monitoring the risk of WV in a healthcare company for over 20 years, this paper presents the results collected in 2023 and details of the methodology used.
View Article and Find Full Text PDFInt J Environ Res Public Health
December 2024
DTx Digital Transformation Colab, Campus of Azurém, University of Minho, 4800-058 Guimarães, Portugal.
This review provides a comprehensive analysis of studies investigating the impact of occupational exoskeletons on work-related musculoskeletal disorder (WMSD) risk factors. The primary objective is to examine the methodologies used to assess the effectiveness of these devices across various occupational tasks. A systematic review was conducted following the PRISMA guidelines, covering studies published between 2014 and 2024.
View Article and Find Full Text PDFInt J Environ Res Public Health
December 2024
Employee Health Unit, Department of Family Medicine, Faculty of Medicine, American University of Beirut Medical Center, Beirut, Beirut P.O. Box 11-0236, Lebanon.
(1) Background: Patient lifts are evidence-based engineering controls used in Safe Patient Handling Programs to assist healthcare workers in moving patients. They have been shown to be beneficial for both healthcare workers and patients. However, these devices are not consistently used.
View Article and Find Full Text PDFInt J Environ Res Public Health
November 2024
Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, Via Ponzio 34/5, 20133 Milan, Italy.
Work-related musculoskeletal disorders (WRMSDs) are a leading cause of chronic conditions among working-age adults. Preventing these disorders is crucial to reducing their impact, and quantitative analysis through sensors can help identify their causes and guide ergonomic solutions. This systematic review aims to compile research from 2000 to 2023 published in English and sourced from Web of Science, Scopus, or PubMed that examines workers' movements during tasks using wearable sensor systems that are applicable in workplace settings.
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