Relationship between Work-Related Musculoskeletal Symptoms and Work Performance of Critical Care Nursing Staff in the Tertiary Care Hospitals

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Abstract

Background: Musculoskeletal discomfort has grown to be a significant global health issue. Literature revealed that musculoskeletal discomfort is the most common outcome for people in the working population. It has grown to be a significant global health issue. Consequently, a decreased quality of life raises healthcare expenses and reduces productivity. Aim: To evaluate the prevalence of musculoskeletal symptoms (MS) related to the workplace and determine the correlation between MS and work performance. Methodology: The study was conducted across the four major tertiary care hospitals of the province Khyber Pakhtunkhwa using an analytical cross-sectional approach. The population consisted of 214 participants recruited through the universal sampling technique. The data was collected through a validated and pre-tested questionnaire of the modified Nordic musculoskeletal questionnaire (MNMQ) and Workability Index (WAI). SPSS version 22.0 presented the collected data in tables, graphs, and figures. Results Nursing staff were exposed to a high-risk MS work environment. Critical care unit nurses were especially vulnerable to MS, with 29% reporting neck pain in the previous 12 months, 39% reporting lower back pain, and 19% reporting upper back pain. An analysis of the correlation between MS and NMQ scores revealed that workability was negatively impacted by neck (p 0.008), lower back (p <0.001), and upper back (p <0.001) symptoms, with lower back pain having the greatest impact. According to the report of logistic regression, MS symptoms has negative association with work ability of the nursing staff. Conclusion The study emphasized the strong correlation between work-related musculoskeletal symptoms and the work performance of the critical care nurses. Neck, lower back, and upper back symptoms were found to have a negative effect on workability, with lower back pain being the worst affected.

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