Clinical Application of Rapid Upper Limb Assessment and Nordic Musculoskeletal Questionnaire in Work-Related Musculoskeletal Disorders: A Bibliometric Study.
Venkata Nagaraj KakarparthiKarthik VishwanathanBhavana GadhaviRavi Shanker ReddyJaya Shanker TedlaMastour Saeed AlshahraniSnehil DixitKumar GularGaffar Sarwar ZamanVamsi Krishna GannamaneniMohamed Sherif SirajudeenGopal NambiPublished in: International journal of environmental research and public health (2023)
Assessment of work-related musculoskeletal disorders (WMSDs) using the Rapid Upper Limb Assessment (RULA) and the Nordic Musculoskeletal Questionnaire (NMQ) has become widely accepted and reported in the literature. The objectives of this study are to (1) recognize and describe the topmost 50 cited scientific articles in WMSDs using the RULA and NMQ and (2) explore the factors that contribute to making an article influential. In this bibliometric study, we used the Web of Science and MEDLINE databases to identify the top 50 cited articles published from 1993 to 2022. The data collected were the title of the journal, number of citations, year of publication, type of the study, institution where the work was conducted, level of evidence, contribution of primary authors, and country of origin of the work. Our results showed that the top 50 cited articles were published between 1980 and 2010. The 2000s was the most valuable decade. Regarding journals, the Work journal had the highest number of articles concerning the use of RULA and NMQ in healthcare professionals. The maximum number of citations regarding RULA occurred in the Journal of Robotic Surgery ( n = 50) and the maximum for NMQ occurred in the Journal of Safety Research ( n = 106). Most articles originated from the United States, followed by England and the Netherlands. Eight authors had two publications published in the top 50 list. The majority of the topmost cited research articles were cross-sectional studies. Most of these studies were level III evidence. The bibliometric analysis from this study provides insights to researchers to choose the most appropriate and influential journal for submitting work on WMSDs.