Modeling of risk factors leading to workrelated musculoskeletal disorders in medical practitioners

Das, Sanjib Kumar; Patyal, Vishal Singh; Ambekar, Sudhir

doi:10.1016/j.ssci.2024.106427

Cited by 3 publications

(1 citation statement)

References 74 publications

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“…Healthcare and hospital workers (HCWs) have a higher prevalence of MSDs, mainly affecting the back, neck, shoulder, and knee regions, three to four times higher than other occupational categories [ 19 ]. The high prevalence of MSDs in HCWs is often linked to physically demanding aspects of their job, such as lifting patients, prolonged periods of standing, and repetitive motions [ 20 , 21 ]. Approximately one-third of sick days taken by HCWs are attributed to MSDs [ 22 ].…”

Section: Introductionmentioning

confidence: 99%

Hidden risk factors and the mediating role of sleep in work-related musculoskeletal discomforts

Darvishi,

Osmani,

Aghaei

et al. 2024

BMC Musculoskelet Disord

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Objective Musculoskeletal discomforts (MSDs) are prevalent occupational health issues that are associated with a wide range of risk factors. This study aimed to investigate some of the occupational hidden risk factors and the mediating role of sleep in work-related musculoskeletal discomforts. Methods In a cross-sectional study, the role of job stress and shift work as two hidden risk factors and sleep problems as the mediator in work-related musculoskeletal discomforts was investigated in 302 healthcare workers using the path analysis models. For this aim, healthcare workers’ Occupational Stress and musculoskeletal discomforts were evaluated using the Health and Safety Executive questionnaire and Cornell questionnaire, respectively. Moreover, the Pittsburgh Sleep Quality Index (PSQI) and the Insomnia Severity Index (ISI) were used to examine the sleep characteristics of participants. Shift work and job stress as predictor variables and sleep characteristics as mediating variables were analyzed. Results The results showed that the path coefficients of job stress on indexes of quality sleep and insomnia severity were significant. Also, the path coefficient of shift work on quality sleep index was significant. In return, the path coefficients of shift work on the insomnia severity index were not significant. Additionally, there was a mutually significant association between indexes of quality sleep and the severity of insomnia and musculoskeletal discomforts. The direct effect coefficient of job stress on MSDs was significant, whereas the direct effect coefficient of shift work on MSDs was insignificant. This means that shift work alone does not significantly impact these disorders. Conclusion It would seem that shift work and job stress as two occupational hidden risk factors can mediate sleep indexes and indirectly play a critical role in the incidence of musculoskeletal discomforts. Moreover, sleep disorders and musculoskeletal discomforts are mutually related and have a bidirectional relationship.

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Section: Introductionmentioning

confidence: 99%

Hidden risk factors and the mediating role of sleep in work-related musculoskeletal discomforts

Darvishi,

Osmani,

Aghaei

et al. 2024

BMC Musculoskelet Disord

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Healthcare workforce satisfaction and perceptions pertaining to application of ergonomics in primary care settings in Qatar

Syed,

Veettil,

Alnuaimi

et al. 2024

Preprint

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Background Globally, healthcare workforce operates in complex healthcare settings putting in strenuous efforts to provide highest standards of care to patients. Evidence suggests that there are serious health risks such as work-related musculoskeletal diseases, mental health diseases and lower job satisfaction levels among healthcare workforce who are exposed to work environments which are structured without proper consideration and application of ergonomic principles. The study aims to investigate the perceptions of a diverse healthcare workforce pertaining to their work environment to highlight the existing practices and application of ergonomics principles in a highly demanding and extensive primary care setting in the state of Qatar. Methods The study utilized validated online questionnaire (with structured and open-ended questions section) which was distributed through official emails to healthcare workforce registered in primary healthcare corporation which is comprised of 31 primary care clinics distributed across the country. The domains and items in the survey encompassed general principles of ergonomics within healthcare settings, overall satisfaction levels, wellbeing and perceptions pertaining to the work environment. Quantitative data was analyzed in Microsoft excel as frequency, distribution, and multiple regression model. Significance level: α = 0.05 (95% confidence). Responses to the open-ended section was analyzed by framework thematic analysis. This approach encompassed interpreting, exploring, and reporting patterns and clusters of meaning within the given data. Results Half of the healthcare workforce (50%) that participated in the online survey documented that they were either satisfied or very satisfied with work-life balance. Feeling supported by colleagues and supervisors in terms of mental and emotional well-being at work significantly reduced the risk of reporting a work-related discomfort by half (adjusted OR = 0.54) after adjusting for the remaining explanatory variables as reported by the multiple regression model. The themes that emerged from qualitative analysis included desirable workspace, working hours, awareness about ergonomics and satisfaction levels among staff. Conclusions The findings of the study further substantiate the existing evidence base in this area of research and suggest devising innovative strategies and interventions to ensure that ergonomic principles within specific healthcare systems are updated, regularly monitored and effectively implementation to safeguard the health and overall wellbeing of healthcare workforce.

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A Linear Programming Approach to Analyze Musculoskeletal Disorder Risk Factors in Hazelnut Harvesting Workers

Singer

2024

Mugla Journal of Science and Technology

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Harvesting hazelnuts is a labor-intensive agricultural activity crucial for sustaining the global nut industry. Despite its significance, this activity poses a potential risk to workers’ musculoskeletal health due to the demanding nature of the work. This study proposes a linear programming approach to analyze risk factors associated with work-related musculoskeletal disorders among hazelnut harvesting workers. The initial phase of the study includes the identification of key risk factors through a literature review, field observations, and expert consultations. An expert team is formed to evaluate these factors from both academic and producer perspectives. The selection of the experts is done by considering their experience, educational background, knowledge, and publications relevant to the research topic. To determine the importance of the factors, the LP-GW-AHP method (a linear programming method to generate weights in the analytic hierarchy process) is employed. Once the pairwise comparison matrix is established, a mathematical model is created to obtain optimal weights. Additionally, a comparative analysis is conducted to support the validity of the model results. According to the results, harvest area, repetitive movements, and prolonged standing are the top three most important factors. Furthermore, the least important factors are determined to be experience, vibration, and mental and occupational stress. This study presents its novelty by formulating the evaluation of musculoskeletal disorder risk factors as a linear programming-driven multicriteria decision-making problem and applying the LP-GW-AHP method to the problem.

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Modeling of risk factors leading to workrelated musculoskeletal disorders in medical practitioners

Cited by 3 publications

References 74 publications

Hidden risk factors and the mediating role of sleep in work-related musculoskeletal discomforts

Hidden risk factors and the mediating role of sleep in work-related musculoskeletal discomforts

Healthcare workforce satisfaction and perceptions pertaining to application of ergonomics in primary care settings in Qatar

A Linear Programming Approach to Analyze Musculoskeletal Disorder Risk Factors in Hazelnut Harvesting Workers

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