Work-related musculoskeletal disorders and injuries among emergency medical technicians and paramedics: A comprehensive narrative review

Ethical considerations in telehealth and artificial intelligence for work related musculoskeletal disorders: A scoping review

BACKGROUND

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to perform tasks that typically require human intelligence. The integration of AI and telehealth applications in healthcare raises ethical concerns such as bias, transparency, data privacy, and accountability for errors. Several studies have assessed this topic, particularly with regard to musculoskeletal disorders, which will be the focus of this manuscript.

OBJECTIVE

We will examine key ethical concepts including informed consent, data protection, confidentiality, physician malpractice, liability, and telemedicine regulations.

METHODS

Ethical issues pertaining to the topic were explored through a review paper. The primary objective of this scoping review was to map and synthesize the existing literature concerning ethical considerations in telehealth and AI for work-related musculoskeletal disorders.

RESULTS

Research demonstrates that medication effectiveness, patient and physician satisfaction, and accessibility costs are higher with telemedicine and AI methods compared to in-person approaches, particularly for work-related musculoskeletal disorders. Therefore, addressing ethical issues, including patient data privacy and security, is crucial in this field. By considering these factors, the adoption of emerging AI and telemedicine applications, especially for work-related musculoskeletal disorders, is likely to increase.

CONCLUSION

AI and telemedicine offer significant advantages, particularly in addressing work-related musculoskeletal disorders. However, ethical and legal issues surrounding their practice require standardized rules to ensure equitable access, quality care, sustainable costs, professional liability, patient privacy, data protection, and confidentiality. Further practical research studies are needed to address these considerations more effectively.

A mixed methods approach to describe the efficacy of lift assist device use to reduce low back musculoskeletal disorder risk factors during three common patient extrication scenarios

This mixed-method study evaluated the efficacy of lift assist device use (Binder®, Eagle®, Maxi Air®) relative to manual lifting/care-as-usual in reducing low back muscle activity and perceived exertion during simulated patient extrication tasks. User feedback was recorded to identify factors that might influence use. Twenty paramedics performed a floor to stretcher lift, lateral transfer, and confined space extrication care-as-usual and with lift assist devices. Use of a lift assist reduced low back muscle activity during floor to stretcher and confined space tasks by 34-47%. Paramedics perceived exertion decreased from 'somewhat hard' to 'light' or 'very light' when using an assistive device. Paramedics noted that ease of use, patient comfort, task time, patient acuity, among other considerations would influence use decisions. Lift assist devices were efficacious at reducing low back muscle activity and perceived exertion during floor to stretcher and patient extrication tasks.

Work-related musculoskeletal complaints of physiotherapists working in intensive care units: Frequency analysis, risk factors, management and prevention strategies

BACKGROUND

Intensive care physiotherapists are exposed to situations that may cause physical and mental overload, which can lead to the onset of work-related musculoskeletal complaints.

OBJECTIVE

The objective was to analyze these complaints and to identify activities causing greater overload, factors associated with complaints, and management and prevention strategies.

METHODS

Cross-sectional study. Data were collected from 125 physiotherapists in the Intensive Care units (ICU) of a tertiary hospital. The questionnaire used was formulated from questionnaires validated in the literature such as Nordic Questionnaire and Bork Questionnaire. Chi-square test was performed to compare the groups with and without complaints. Logistic regression was used to assess the association effects of the variables on the presence of complaints.

RESULTS

Of those interviewed, 76% had a work-related complaint in the last year, with the "lower back" being the most affected region. Eighty percent had complaints for more than one site. "Transfer" was considered the activity causing the greatest overload. Female sex (p = 0.023), lack of physical activity (p = 0.028), inadequate ventilation (p = 0.001) and inadequate furniture (p = 0.006) showed a statistically significant association effect with the presence of complaints. Inadequate ventilation (p = 0.003) and female sex (p = 0.004) influenced the number of affected areas. Physical activity was considered the main strategy for prevention.

CONCLUSION

Musculoskeletal complaints accounted for a high percentage of the analyzed sample, mainly in the lower back. The extent of complaints suggests that strategies should be developed and changes in work dynamics should be carried out.

Low back pain and biomechanical characteristics of back muscles in firefighters

Firefighters often experience low back pain (LBP), but their back muscle characteristics are not well studied. This study aimed to 1) compare the biomechanical characteristics of back muscles and self-reported back disabilities in frontline firefighters with and without LBP history, and 2) examine the relationships between back disability and biomechanical measurements. We recruited 42 male firefighters and assessed their perceived pain and disabilities, maximum isometric back extension strength, passive stiffness, and fatigability of the longissimus. 54.8% of the participants experienced LBP within the past year. Those indicating higher pain intensity also had greater disability as indicated by the Oswestry Disability Index. There were no significant differences in strength, stiffness or fatigability of the back muscles between firefighters with and without LBP history. Multiple linear regression analysis revealed no significant relationship between the back disability and any biomechanical or demographic measures, likely due to the high functional abilities of the participants.

Prevalence of work-related musculoskeletal disorders and associated factors affecting emergency medical services professionals in Jordan: a cross-sectional study

OBJECTIVES

Emergency medical services (EMSs) personnel are at high risk for developing work-related musculoskeletal disorders (WMSDs). However, no studies have yet investigated the prevalence and effect of these disorders on the Jordanian EMS personnel. Therefore, this study aimed to determine the prevalence of WMSDs among Jordanian EMS personnel and its associated factors.

DESIGN

This study used a cross-sectional design. Participants were asked to complete a self-administrated and validated questionnaire to measure the WMSDs, including a demographic survey and the Nordic Musculoskeletal Questionnaire. Descriptive and multivariable regression analyses were used.

SETTING

The Jordanian Civil Defence stations in the main cities of Jordan.

PARTICIPANTS

The sample consisted of 435 EMS workers which were obtained across the country of Jordan. A total of 79.0% of the participants were male, with a mean age of 27.9 (±4.3 SD) years.

RESULTS

The pain in the lower back (308, 70.8%) and neck (252, 57.9%) were the most reported in the last 12 months. Furthermore, about half of the participants reported having pain in their upper back (234, 53.8%), knee (227, 52.2%) and shoulder (226, 52.0%) pain in the last 12 months. Overall, WMSDs in at least one body part were significantly associated with age, experience, being a male, increased body mass index and lower educational level.

CONCLUSIONS

There is a high prevalence of musculoskeletal complaints among EMS personnel. Multiple variables may be incorporated into a national prevention campaign and professional development programme to educate EMS personnel on avoiding WMSDs.

A systematic review and meta-analysis of musculoskeletal disorders among firefighters

INTRODUCTION

Due to the nature of their job, firefighters face many ergonomic risk factors and are exposed to several musculoskeletal disorders (MSDs). The aim of this systematic review and meta-analysis was to investigate the prevalence of MSDs among firefighters.

MATERIALS AND METHODS

This study was conducted based on preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. The literature search was conducted in the databases of PubMed, Scopus, Web of Science, Science Direct, SID, ISC and Google Scholar without applying a time limitation until the end of July 2022. The random effects model was used for meta-analysis, and the I2 index was used to check heterogeneity among studies. The data were analyzed using STATA version 14 software.

RESULTS

The primary literature searches in the databases identified 1,291 articles, 26 of which were entered the meta-analysis stage after screening, study selection, and quality assessment, including 36,342 firefighters. Based on the results of a meta-analysis, the overall prevalence of MSDs among firefighters was 46.39% (95% CI: 32.45-60.32, I2 = 99.7%, P < 0.001). The prevalence of MSDs was also investigated at neck (18.36%), low back (34.32%), shoulder (18.68%), hands (7.43%), upper back (10.15%), knee (19.97%) and foot (6.66%).

CONCLUSION

Considering the relatively high prevalence of MSDs among firefighters and their higher exposition to specific job-related risk factors of MSDs compared to other professions, it is suggested to provide firefighters with appropriate training, implement ergonomic interventions, and regularly screen them to reduce MSDs.

The Prevalence of Neck and Back Pain among Paramedics in Poland

Neck Pain (NP) and low back pain (LBP) are ubiquitous musculoskeletal conditions and some of the major causes of disability worldwide. The aim of the study was to assess the incidence and risk factors of back pain among paramedics and their correlation with the nature of work, anthropometric features and the level of recreational physical activity. A group of 201 individuals (39 females (19.40%); 162 males (80.60%)), licensed to practice as paramedics in Poland completed a questionnaire containing the author's interview as well as the Neck Disability Index (NDI) questionnaire and the Revised Oswestry Disability Index (ODI). Among the examined paramedics, 92% of the subjects reported the presence of back pain in different parts of the spine (36% C; 17% Th; and 85% LBP). The pain intensity, determined by VAS, was on average 4.26 (SD 1.77). The level of disability, assessed by NDI, was 7.67 (SD 5.73) on average, while the ODI was 7.51 (5.90). Work-related spinal strain has a major impact on the intensity and incidence of spinal pain. Spinal pain in paramedics mainly occurs in the lower back.

National examination of occupational hazards in emergency medical services

OBJECTIVE

Emergency medical services (EMS) clinicians operate in environments that predispose them to occupational hazards. Our objective was to evaluate the frequency of occupational hazards and associations with mitigation strategies in a national dataset.

METHODS

We performed a cross-sectional analysis of currently working, nationally certified civilian EMS clinicians aged 18-85 in the USA. After recertifying their National EMS Certification, respondents were invited to complete a survey with questions regarding demographics, work experience and occupational hazards. Three multivariable logistic regression models (OR, 95% CI) were used to describe associations between these hazards and demographics, work characteristics and mitigation strategies. Models were adjusted for age, sex, minority status, years of experience, EMS agency type, service type and EMS role.

RESULTS

A total of 13 218 respondents met inclusion criteria (response rate=12%). A high percentage of EMS clinicians reported occupational injuries (27%), exposures (38%) and violence (64%) in the past 12 months. Odds of injury were lower with the presence of a lifting policy (0.73, 0.67-0.80), lift training (0.74, 0.67-0.81) and always using a powered stretcher (0.87, 0.78-0.97). Odds of exposure decreased with chemical, biological and nuclear exposure protection training (0.75, 0.69-0.80). Training in de-escalation techniques was associated with lower odds of experiencing violence (0.87, 0.79-0.96).

CONCLUSIONS

Occupational hazards are commonly experienced among EMS clinicians. Common mitigation efforts are associated with lower odds of reporting these hazards. Mitigation strategies were not widespread and associated with lower odds of occupational hazards. These findings may present actionable items to reduce occupational hazards for EMS clinicians.

Vocational Rehabilitation and Length of Stay at Work after Work-Related Musculoskeletal Disorders: A Longitudinal Study in Brazil

Vocational rehabilitation is an intervention to enhance the return to work and improve quality of life. The aim of this study was to evaluate sociodemographic and occupational factors associated with the length of stay at work among workers with work-related musculoskeletal disorders (WRMDs) who had undergone rehabilitation through the Brazilian public social security system. This was a longitudinal study among 680 workers with histories of disability due to WRMDs who returned to the formal job market after vocational rehabilitation between 2014 and 2018. Survival analysis was performed to identify the factors influencing permanence in work. Job dismissal occurred for 29.26% of the workers. The average duration of employment after returning to the formal job position was 56 months. The following factors were associated with shorter length of employment: living in the southeastern region (HR: 2.78; 95% CI 1.12-6.91) or southern region (HR: 2.68; 95% CI 1.04-6.90) of Brazil; working in transportation, storage or postal services (HR: 2.57; 95% CI 1.07-6.17); or working in financial activities, insurance or related services (HR: 2.70; 95% CI 1.05-6.89). These findings may contribute to the discussion about prevention of disability and interventions to ensure health care for workers with WRMD disabilities who undergo rehabilitation.

Prediction of Work-Related Risk Factors among Bus Drivers Using Machine Learning

A recent development in ergonomics research is using machine learning techniques for risk assessment and injury prevention. Bus drivers are more likely than other workers to suffer musculoskeletal diseases because of the nature of their jobs and their working conditions (WMSDs). The basic idea of this study is to forecast important work-related risk variables linked to WMSDs in bus drivers using machine learning approaches. A total of 400 full-time male bus drivers from the east and west zone depots of Bengaluru Metropolitan Transport Corporation (BMTC), which is based in Bengaluru, south India, took part in this study. In total, 92.5% of participants responded to the questionnaire. The Modified Nordic Musculoskeletal Questionnaire was used to gather data on symptoms of WMSD during the past 12 months (MNMQ). Machine learning techniques including decision tree, random forest, and naïve Bayes were used to forecast the important risk factors related to WMSDs. It was discovered that WMSDs and work-related characteristics were statistically significant. In total, 66.75% of subjects reported having WMSDs. Various classifiers were used to derive the simulation results for the frequency of pain in the musculoskeletal systems throughout the last 12 months with the important risk variables. With 100% accuracy, decision tree and random forest algorithms produce the same results. Naïve Bayes yields 93.28% accuracy. In this study, through a questionnaire survey and data analysis, several health and work-related risk factors were identified among the bus drivers. Risk factors such as involvement in physical activities, frequent posture change, exposure to vibration, egress ingress, on-duty breaks, and seat adaptability issues have the highest influence on the frequency of pain due to WMSDs among bus drivers. From this study, it is recommended that drivers get involved in physical activities, adopt a healthy lifestyle, and maintain proper posture while driving. For any transport organization/company, it is recommended to design driver cabins ergonomically to mitigate the WMSDs among bus drivers.

Coping in the Emergency Medical Services: Associations With the Personnel's Stress, Self-Efficacy, Job Satisfaction, and Health

Background

Emergency Medical Services personnel (EMSP) are recurrently exposed to chronic and traumatic stressors in their occupation. Effective coping with occupational stressors plays a key role in enabling their health and overall well-being. In this study, we examined the habitual use of coping strategies in EMSP and analyzed associations of coping with the personnel's health and well-being.

Method

A total of N = 106 German Red Cross EMSP participated in a cross-sectional survey involving standardized questionnaires to report habitual use of different coping strategies (using the Brief-COPE), their work-related stress, work-related self-efficacy, job satisfaction, as well as mental and physical stress symptoms.

Results

A confirmatory factor analysis corroborated seven coping factors which have been identified in a previous study among Italian emergency workers. Correlation analyses indicated the coping factor "self-criticism" is associated with more work-related stress, lower job satisfaction, and higher depressive, posttraumatic, and physical stress symptoms. Although commonly viewed as adaptive coping, the coping factors "support/venting", "active coping/planning", "humor", "religion", and "positive reappraisal" were not related to health and well-being in EMSP. Exploratory correlation analyses suggested that only "acceptance" was linked to better well-being and self-efficacy in EMSP.

Conclusion

Our results emphasize the need for in-depth investigation of adaptive coping in EMSP to advance occupation-specific prevention measures.

Machine Learning Model to Estimate Net Joint Moments during Lifting Task Using Wearable Sensors: A Preliminary Study for Design of Exoskeleton Control System

Accurately measuring the lower extremities and L5/S1 moments is important since L5/S1 moments are the principal parameters that measure the risk of musculoskeletal diseases during lifting. In this study, protocol that predicts lower extremities and L5/S1 moments with an insole sensor was proposed to replace the prior methods that have spatial constraints. The protocol is hierarchically composed of a classification model and a regression model to predict joint moments. Additionally, a single LSTM model was developed to compare with proposed protocol. To optimize hyperparameters of the machine learning model and input feature, Bayesian optimization method was adopted. As a result, the proposed protocol showed a relative root mean square error (rRMSE) of 8.06~13.88% while the single LSTM showed 9.30~18.66% rRMSE. This protocol in this research is expected to be a starting point for developing a system for estimating the lower extremity and L5/S1 moment during lifting that can replace the complex prior method and adopted to workplace environments. This novel study has the potential to precisely design a feedback iterative control system of an exoskeleton for the appropriate generation of an actuator torque.

Trends, variations and prediction of staff sickness absence rates among NHS ambulance services in England: a time series study

OBJECTIVES

Our aim was to measure ambulance sickness absence rates over time, comparing ambulance services and investigate the predictability of rates for future forecasting.

SETTING

All English ambulance services, UK.

DESIGN

We used a time series design analysing published monthly National Health Service staff sickness rates by gender, age, job role and region, comparing the 10 regional ambulance services in England between 2009 and 2018. Autoregressive Integrated Moving Average (ARIMA) and Seasonal ARIMA (SARIMA) models were developed using Stata V.14.2 and trends displayed graphically.

PARTICIPANTS

Individual participant data were not available. The total number of full-time equivalent (FTE) days lost due to sickness absence (including non-working days) and total number of days available for work for each staff group and level were available. In line with The Data Protection Act, if the organisation had less than 330 FTE days available during the study period it was censored for analysis.

RESULTS

A total of 1117 months of sickness absence rate data for all English ambulance services were included in the analysis. We found considerable variation in annual sickness absence rates between ambulance services and over the 10-year duration of the study in England. Across all the ambulance services the median days available were 1 336 888 with IQR of 548 796 and 73 346 median days lost due to sickness absence, with IQR of 30 551 days. Among clinical staff sickness absence varied seasonally with peaks in winter and falls over summer. The winter increases in sickness absence were largely predictable using seasonally adjusted (SARIMA) time series models.

CONCLUSION

Sickness rates for clinical staff were found to vary considerably over time and by ambulance trust. Statistical models had sufficient predictive capability to help forecast sickness absence, enabling services to plan human resources more effectively at times of increased demand.