RETRACTED ARTICLE: An integrated multi-criteria decision-making approach for identifying the risk level of musculoskeletal disorders among handheld device users

Jain, Rahul; Rana, Kunj Bihari; Meena, M.L.

doi:10.1007/s00500-021-05592-w

Cited by 13 publications

(12 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, they evaluated risk factors involved in the spread of COVID‐19 and ranked them using MADM methods. The next work 79 discussed the risk level for musculoskeletal disorders among handheld device users. The authors indicated that owing to COVID‐19, 'The work‐from‐home (WFH) situation increased the handheld device (HHD) users to work in uncomfortable postures for longer times because of the absence of proper designed workstations.…”

Section: Literature Review Analysismentioning

confidence: 99%

“…Figure 6 shows the 16 countries in which the studies included in this review were conducted. The selected articles' geographical distribution in terms of numbers and percentages shows that the most prolific contributors were from India 59 , 63 , 65 , 73 , 75 , 76 , 79 , 80 , 82 , 83 , 88 , 93 with 12 studies; China 56 , 58 , 72 , 74 , 86 , 90 , 96 with seven studies; Turkey, 51 , 60 , 71 , 91 , 92 Pakistan, 54 , 57 , 67 , 78 , 85 and Malaysia 10 , 37 , 52 , 68 , 89 with five studies each; Saudi Arabia 69 , 77 , 94 with three studies; Iraq, 61 , 66 Egypt, 44 , 62 Iran, 50 , 81 and Italy 70 , 87 with two studies each; and Serbia, 49 Philippines, 53 Brazil, 55 ...…”

Section: Literature Review Analysismentioning

confidence: 99%

See 1 more Smart Citation

Rise of multiattribute decision‐making in combating COVID‐19: A systematic review of the state‐of‐the‐art literature

Alsalem

Mohammed²,

Albahri

et al. 2021

Int J of Intelligent Sys

View full text Add to dashboard Cite

Considering the coronavirus disease 2019 (COVID‐19) pandemic, the government and health sectors are incapable of making fast and reliable decisions, particularly given the various effects of decisions on different contexts or countries across multiple sectors. Therefore, leaders often seek decision support approaches to assist them in such scenarios. The most common decision support approach used in this regard is multiattribute decision‐making (MADM). MADM can assist in enforcing the most ideal decision in the best way possible when fed with the appropriate evaluation criteria and aspects. MADM also has been of great aid to practitioners during the COVID‐19 pandemic. Moreover, MADM shows resilience in mitigating consequences in health sectors and other fields. Therefore, this study aims to analyse the rise of MADM techniques in combating COVID‐19 by presenting a systematic literature review of the state‐of‐the‐art COVID‐19 applications. Articles on related topics were searched in four major databases, namely, Web of Science, IEEE Xplore, ScienceDirect, and Scopus, from the beginning of the pandemic in 2019 to April 2021. Articles were selected on the basis of the inclusion and exclusion criteria for the identified systematic review protocol, and a total of 51 articles were obtained after screening and filtering. All these articles were formed into a coherent taxonomy to describe the corresponding current standpoints in the literature. This taxonomy was drawn on the basis of four major categories, namely, medical ( n = 30), social ( n = 4), economic ( n = 13) and technological ( n = 4). Deep analysis for each category was performed in terms of several aspects, including issues and challenges encountered, contributions, data set, evaluation criteria, MADM techniques, evaluation and validation and bibliography analysis. This study emphasised the current standpoint and opportunities for MADM in the midst of the COVID‐19 pandemic and promoted additional efforts towards understanding and providing new potential future directions to fulfil the needs of this study field.

show abstract

Section: Literature Review Analysismentioning

confidence: 99%

Section: Literature Review Analysismentioning

confidence: 99%

Rise of multiattribute decision‐making in combating COVID‐19: A systematic review of the state‐of‐the‐art literature

Alsalem

Mohammed²,

Albahri

et al. 2021

Int J of Intelligent Sys

View full text Add to dashboard Cite

show abstract

“…These problems originate because of different factors (individual, personal, psychosocial, social, etc.) identified in the previous studies for MSD causation (Sauter and Swanson, 1996; Kumar, 2001; National Research Council and Institute of Medicine, 2001; Karsh, 2006; Harris et al , 2015; Toh et al , 2017; Xie et al , 2017; Jain et al , in press). Therefore, it is necessary to recognize the critical risk factors amongst the HHD users associated with MSDs in various body parts to avoid work-related health problems.…”

Section: Introductionmentioning

confidence: 85%

“…The developed survey questionnaire was derived from previous MSDs studies conducted on HHD users (Palmer et al , 2014; Woo et al , 2016, 2017; Toh et al , 2019, 2020) and based on the MSD causation theories developed by the previous researches for a different type of risk factors (Sauter and Swanson, 1996; Kumar, 2001; National Research Council and Institute of Medicine, 2001; Karsh, 2006; Harris et al , 2015; Toh et al , 2017; Xie et al , 2017; Jain et al , in press). Sauter and Swanson (1996) proposed an ecological model for office environments that consists of work organization factors that directly and indirectly affected workers.…”

Section: Methodsmentioning

confidence: 99%

“…Previous studies reported MSDs amongst HHD users in different body parts, which includes neck (Palmer et al , 2014; Woo et al , 2016, 2017; Silva et al , 2017; Straker et al , 2018; Toh et al, 2019 , 2020), shoulders (Palmer et al , 2014; Woo et al , 2016, 2017; Toh et al , 2019, 2020), wrist (Silva et al , 2017; Toh et al , 2019, 2020), upper extremity (Palmer et al , 2014; Toh et al , 2019, 2020), legs (Palmer et al , 2014) and head (Palmer et al , 2014). The main key risk factors of MSDs were awkward posture and usage of HHDs for a long duration (Palmer et al , 2014; Woo et al , 2016, 2017; Toh et al , 2017, 2020; Xie et al , 2017; Aytutuldu et al , in press; Legan and Zupan, in press; Bolisani et al , 2020; Jain et al , in press). Musculoskeletal complaints can affect users' quality of lifestyle and productivity (Ciccarelli et al , 2011, 2013; Palmer et al , 2014) due to a variety of working and non-working activities at homestay.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Association of individual and device usage factors with musculoskeletal disorders amongst handheld devices users during homestay due to pandemic

Jain

Rana

Meena

2021

IJWHM

Self Cite

View full text Add to dashboard Cite

PurposeThe COVID-19 pandemic is spreading in India and different parts of the world. The outbreak delivered not only the condition of dying from infection but also forced people (especially office workers and students) to perform all working (office work, classes, assignments, etc.) and non-working activities (leisure activities such as social media, gaming, etc.) at home using handheld devices (HHDs). In this situation, HHD usage for longer durations is mainly responsible for work-related health issues. Therefore, the paper aims to explore HHD usage patterns and musculoskeletal disorders (MSDs) amongst HHD users during homestay and the impact of individual and HHD usage–related factors on MSDs.Design/methodology/approachFrom different states of India, 651 people (especially HHD users from universities and industries) were sampled by using systematic cluster random sampling. In addition, an online questionnaire was used to collect data on the prevalence and risk factors of MSDs. Finally, mean comparisons and chi-square analysis was used to analyse the collected data.FindingsThe prevalence rate of MSDs was higher in upper body parts as compared to the lower body parts. The association of gender with MSDs in various body parts was substantial. The time spent on various working and non-working activities using HHDs was significantly associated with MSDs in upper body parts.Practical implicationsHomestay work may be used as an alternative working arrangement, and the risk factors that have the most significant impact on the health of HHD users may be identified by organizations. The findings suggest the proper use of HHDs as per their essential need with intermediate recreational activities.Originality/valueIt is observed that the musculoskeletal health of office workers and university students is a cause for concern during homestay. The current study provides the prevalence of MSDs experienced by HHD users and the association of individual and HHD usage factors with MSDs.

show abstract

Healthcare performance management using integrated FUCOM‐MARCOS approach: The case of India

Abdullah

Ahmad

Athar

et al. 2022

Health Planning & Management

View full text Add to dashboard Cite

Aims: The goal of this research is to propose a simpler and more efficient model for evaluating healthcare establishments (HCEs). With this motivation, this study aims to discover key performance indicators (KPIs) that affect HCE performance, present a ranking model for KPIs in Indian HCEs, and evaluate Indian HCEs using the identified and prioritised KPIs.Material and Methods: Through extensive literature review and expert opinions, this research identifies the various KPIs in HCEs, classifies them into six main categories, and prioritises them using the full consistency method (FUCOM).Further, well-known HCEs across northern India were evaluated and ranked using Measurement Alternatives and Ranking according to Compromise Solution.Results: The 'technology adoption related indicators' is found as the most important main KPIs, whereas 'adequate number of hospital beds and bathrooms (IE5)' as the most dominating sub-category KPIs. Also, amongst the 20 evaluated Indian HCEs 'healthcare establishment-1 (HCE1)' was found to be the best performing HCE while 'healthcare establishment-12 (HCE12)' was found to be the worst-performing HCE. The stability and consistency of the results are ascertained by performing sensitivity analysis and comparing the results with other existing methodologies.

show abstract

RETRACTED ARTICLE: An integrated multi-criteria decision-making approach for identifying the risk level of musculoskeletal disorders among handheld device users

Cited by 13 publications

References 44 publications

Rise of multiattribute decision‐making in combating COVID‐19: A systematic review of the state‐of‐the‐art literature

Rise of multiattribute decision‐making in combating COVID‐19: A systematic review of the state‐of‐the‐art literature

Association of individual and device usage factors with musculoskeletal disorders amongst handheld devices users during homestay due to pandemic

Healthcare performance management using integrated FUCOM‐MARCOS approach: The case of India

Contact Info

Product

Resources

About