INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
ABSTRACT
Aim: Evaluation of risk of musculoskeletal disorder using RULA and REBA ergonomic assessment among nursing professionals – A cross sectional study
Background: Today a nursing student is least interested to learn manual handling techniques and ergonomics because of heavy curriculum. In fact nursing colleges must devote a reasonable amount of time for the teaching of manual techniques practiced in clinical areas. Work related musculoskeletal disorder are the one of the most important health threat affecting individuals and it is the common cause of diminish work capability. For that it is necessary to find out the risk factors of causing musculoskeletal disorder among nurses. It is also necessary to evaluate the prevalence of musculoskeletal discomforts in different anatomical body parts. It also helps to ensure job efficiency and quality of life among the nursing staff. Therefore, this implies that musculoskeletal discomfort can be managed by use of well integrated and organized educational programs in nursing curriculam regarding ergonomic advice.
Procedure: In this study, the data were obtained with questionnaires and by direct observation. In order to determine the risk of MSDs in different limbs of the workers with RULA and REBA ergonomic assessment was used. Ergonomic risk factors were assessed through direct observation of the subject’s postures by means of the RULA and REBA. The RULA and REBA measure for nurses which quantifies the grade of the musculoskeletal risk of the posture on a 1–7 scale was used to analyze the posture of the body. Higher RULA and REBA scores indicate greater levels of risk factors causing load on the structures of body segments. The grade is calculated based on the degree of angles between various body segments and their recommended postures according to criteria derived through interpretation of previous relevant studies.
Results: Total 96 clinical nurses were evaluated. There were 75 females and 21 males among the 96 participants. The REBA ergonomic assessment was used to determine the individuals' risk of developing upper limb WRMSD 40% are at moderate risk, 38 % are at high risk whereas 9% subjects are at low risk 13% subjects are at very high risk ,0% subjects are at negligible risk of developing upper limb WRMSD. Using RULA to assess MSD risk among research participants 0% subjects are at negligible risk ,10% subjects are at low risk whereas 44% and 46% subjects are in high and medium risk of developing WRMSD respectively.
Conclusion: The study concluded that the nurses who took part in this study had moderate levels of both MSDs and ergonomic hazards. the study shows that, knee joint musculoskeletal disorders was more prevalent ankle, lower back and hip, upper back and shoulder, and then the wrist and neck.
Keywords:
Nurses , Work related musculoskeletal disorder, long working hours
Cite Article:
"Evaluation of risk of musculoskeletal disorder using RULA and REBA ergonomic assessment among nursing professionals- A cross sectional study ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 11, page no.b420-b428, November-2022, Available :http://www.ijnrd.org/papers/IJNRD2211149.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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