Work-related repetitive strain injuries amongst practitioners of obstetric and gynaecological ultrasound worldwide

Janga, D.; Akinfenwa, O.

doi:10.1007/s00404-012-2306-6

Cited by 33 publications

(30 citation statements)

References 10 publications

(9 reference statements)

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“…If no action is taken, the injury could progress and pain becomes more frequent, eventually leading to a chronic injury, when constant pain can be experienced, in addition to weakness, reduced movement and potentially an inability to carry out every-day tasks. 3,10 Not all ultrasound practitioners are affected by WRMSD, as suggested by the figures quoted in previous studies. 1,2 A small study, which surveyed 22 sonographers who reported themselves as unaffected by WRMSD, 11 found no strong evidence of factors that help prevention, although it was suggested that job satisfaction and increased general well being may be linked.…”

Section: Introductionmentioning

confidence: 93%

“…7,8 Shoulder Arm abduction can lead to reduced blood flow to the shoulder and increased risk of injury. 7,15,16 Research evidence suggests that the shoulder is a common site for injury, 1,3 thus when scanning it is recommended that arm abduction should be less than 30 . 13,16 The patient should be as close to the ultrasound practitioner as possible, to reduce arm abduction ( Figure 1).…”

Section: Ergonomicsmentioning

confidence: 99%

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Work-related musculoskeletal disorders in ultrasound: Can you reduce risk?

Harrison

Harris

2015

Ultrasound

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Work-related musculoskeletal disorders are a common cause of pain and sickness absence for ultrasound practitioners. This article aims to provide background information about factors increasing the chance of developing work-related musculoskeletal disorders and potential ways to reduce risk. Factors influencing ultrasound professionals' likelihood of developing work-related musculoskeletal disorders include poor posture, repetitive movements, transducer pressure and poor grip, stress, workload, limited support or sense of control and other psychosocial factors. The impact of these risk factors on the health and well being of ultrasound practitioners can be reduced by following recommendations published by professional bodies and the Health and Safety Executive. Ultrasound practitioners should remember that optimising the examination should not be at the detriment of their health. Some hints and tips to reduce the chance of developing work-related musculoskeletal disorders are provided.

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Section: Introductionmentioning

confidence: 93%

Section: Ergonomicsmentioning

confidence: 99%

Work-related musculoskeletal disorders in ultrasound: Can you reduce risk?

Harrison

Harris

2015

Ultrasound

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“…15 Survey in an international conference amongst 407 professionals using ultrasound devices was conducted with majority of the participants were obstetricians and gynaecologists for work related musculoskeletal injuries (WRMI). 16 The most commonly reported complaints were injuries, and neck, back and shoulder pain was experienced by 65.6% of all the professionals. 17…”

Section: Introductionmentioning

confidence: 99%

Prevalence, severity and characteristics of work-related musculoskeletal disorders amongst obstetrics and gynaecology professionals

Jadhav

Dharmapuri

Shyam

et al. 2019

Int J Community Med Public Health

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Background: Backache is a common cause of morbidity among doctors and 50% of the obstetricians and gynaecologists suffering from this attribute it to working posture. Occupational injuries are poorly analyzed amongst these professionals. Work related injuries have adverse effect on health and work performance due to discomfort caused by pain. Awareness of ergonomics, correct posture and strategical assessment of risk factors is needed for the prevention of work related musculoskeletal injuries amongst obstetricians and gynaecologists.Methods: A survey based study was performed. Informed consent was taken for participation. The questionnaire included 16 questions categorised into: demographics; injury data; impact of injury; and general mental health. Hard copy of the questionnaire and online forms of the questionnaire were used to complete the data collection.Results: The response rate for the survey was 85% of the doctors who reported to have experienced pain in the last year. The most common site was back, which was followed by the neck and knees. 71.4% of doctors reported injuries attributed to work.Conclusions: The result demonstrates the prevalence of work related musculoskeletal injuries and their effects. These injuries are highly underreported. Ergonomics and work related injury prevention in this profession is a suggestion for solution as more data is needed regarding the analysis and risk factor assessment.

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“…However, this procedure could be experience dependent, time consuming, and contribute to inter-and intraobserver error [1]. Moreover, ultrasound scan operators are often suffered from repetitive stress injury caused by multiple keystrokes [2].…”

Section: Introductionmentioning

confidence: 99%

Learning based automatic head detection and measurement from fetal ultrasound images via prior knowledge and imaging parameters

Yang

et al. 2013

2013 IEEE 10th International Symposium on Biomedical Imaging

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A novel learning based automatic method is proposed to detect the fetal head for the measurement of head circumference from ultrasound images. We first exploit the AdaBoost learning method to train the classifier on Haar-like features and then, for the first time, we propose to use prior knowledge and online imaging parameters to guide the sliding window based head detection from ultrasound images. This approach can significantly improve both detection rate and speed. The boundary of the head in the localized region is further detected using a local phase based method, which is insensitive to speckle noises and intensity changes in ultrasound images. Finally iterative randomized Hough transform (IRHT) is employed to determine an ellipse on the head contour. Experiments performed on 675 images (500 for classifier training and 175 for measurement) showed that mean-signeddifference between automatic and manual measurements is 2.86 mm (1.6%). The statistical analysis further indicated that there was no significant difference between these two measurements. These results demonstrated the proposed fully automatic framework can be used as a consistent and accurate tool in clinical practice.

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Work-related repetitive strain injuries amongst practitioners of obstetric and gynaecological ultrasound worldwide

Cited by 33 publications

References 10 publications

Work-related musculoskeletal disorders in ultrasound: Can you reduce risk?

Work-related musculoskeletal disorders in ultrasound: Can you reduce risk?

Prevalence, severity and characteristics of work-related musculoskeletal disorders amongst obstetrics and gynaecology professionals

Learning based automatic head detection and measurement from fetal ultrasound images via prior knowledge and imaging parameters

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