Reliability Analysis of Observation-Based Exposure Assessment Tools for the Upper Extremities: A Systematic Review

Graben, Preston Riley; Schall, Mark C.; Gallagher, Sean; Sesek, Richard; Acosta-Sojo, Yadrianna

doi:10.3390/ijerph191710595

Cited by 6 publications

(5 citation statements)

References 51 publications

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“…The current systematic review of 25 papers evaluated accessible, high-quality publications on the reliability and validity of the observational postural load assessment tools as an update to past reviews by Takala et al (41) and Sukadarin et al (42). The research also complements recent reviews by Graben et al (43) that focused on the assessment tools for the upper extremities and from Kee (44) that precisely compared three of the main observational postural load assessment tools, and also the review by Joshi and Deshpande (45), in which comparative studies of such approaches were thoroughly evaluated. The methodological properties of the articles were evaluated using the MacDermid checklist (16).…”

Section: Discussionmentioning

confidence: 83%

Reliability and Validity of Observational Methods for Postural Load Assessment: An Updated Systematic Review

Osqueizadeh,

Mohseni Bandpei,

Rahmani

et al. 2023

Health Scope

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Context: Defined by several physiological and anatomical contributors, posture is essentially an accurate indicator of health status that is most frequently highlighted by affecting the configuration and operations of internal systems and organs. Quantifying body position has always been highlighted in clinical, academic, and industrial contexts, and various posture analysis approaches have been developed throughout the years. Objectives: This study aims to establish the reliability and validity of several novel observational approaches to postural load assessment and provide an overall view of related trends. Methods: This review was designed and conducted following (PRISMA) guidelines and five databases were surveyed, namely PubMed, Science Direct, CINAHL, Ergonomic Abstracts, and EMBASE, utilizing both generic and specific search terms modified for each database. Articles introducing a novel approach to observational postural load analysis and concepts of reliability and validity of the introduced method were included. Cross-sectional, case-control, experimental, and controlled trial designs were considered. Studies were excluded if they were exclusively based on subjective approaches. The methodological quality of the studies was evaluated using the MacDermid checklist. Similarly, reliability, measurement error, content validity, and criterion validity were assessed using COSMIN (Consensus-based Standards for selecting health Measurement Instruments) boxes B, C, D, and H, respectively. Results: Twenty-five articles were selected for the final review. The studies mainly reported ICC for reliability and r and r2 for validity. The results on the MacDermid quality evaluation tool varied from 38 to 80%, with a mean of 61.60 ± 11.54%. Regarding the COSMIN checklists, the scores were 61.40 ± 10.39%, 59.16 ± 11.35%, 64 ± 16.07%, and 57.12 ± 15.19% for boxes B, C, D, and H, respectively. Some studies did not obtain high scores for specified inclusion and exclusion criteria and appropriate sample size, leading to a moderate quality rating in checklists. Conclusions: Drawing comprehensive conclusions by directly comparing and contrasting observational techniques can be challenging due to their unique strengths, limitations, and inconsistencies. Such variations may arise from the methods’ characteristics, such as the fields, settings, populations, and the evaluated risk factors.

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Section: Discussionmentioning

confidence: 83%

Reliability and Validity of Observational Methods for Postural Load Assessment: An Updated Systematic Review

Osqueizadeh,

Mohseni Bandpei,

Rahmani

et al. 2023

Health Scope

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“…Currently, risk assessments of MSDs by OSH experts, such as occupational health services, are often performed with the support of observational tools. The scope and targeted application of each tool largely differ [7,50,114,219,220]. Typically, the tools target a limited number of body segments, exposures, or occupational tasks (see Table 6).…”

Section: Risk Assessment Using Observational Toolsmentioning

confidence: 99%

Wearable Motion Capture Devices for the Prevention of Work-Related Musculoskeletal Disorders in Ergonomics—An Overview of Current Applications, Challenges, and Future Opportunities

Lind

Abtahi

Forsman

2023

Sensors

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Work-related musculoskeletal disorders (WMSDs) are a major contributor to disability worldwide and substantial societal costs. The use of wearable motion capture instruments has a role in preventing WMSDs by contributing to improvements in exposure and risk assessment and potentially improved effectiveness in work technique training. Given the versatile potential for wearables, this article aims to provide an overview of their application related to the prevention of WMSDs of the trunk and upper limbs and discusses challenges for the technology to support prevention measures and future opportunities, including future research needs. The relevant literature was identified from a screening of recent systematic literature reviews and overviews, and more recent studies were identified by a literature search using the Web of Science platform. Wearable technology enables continuous measurements of multiple body segments of superior accuracy and precision compared to observational tools. The technology also enables real-time visualization of exposures, automatic analyses, and real-time feedback to the user. While miniaturization and improved usability and wearability can expand the use also to more occupational settings and increase use among occupational safety and health practitioners, several fundamental challenges remain to be resolved. The future opportunities of increased usage of wearable motion capture devices for the prevention of work-related musculoskeletal disorders may require more international collaborations for creating common standards for measurements, analyses, and exposure metrics, which can be related to epidemiologically based risk categories for work-related musculoskeletal disorders.

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“…Nevertheless, limitations exist when conducting posture assessments through field observation. Firstly, subjective judgments made by assessors are prone to biases influenced by viewing angles and fatigue [8,9]. Secondly, manual observation is time-consuming and inefficient.…”

Section: Introductionmentioning

confidence: 99%

Compensation Method for Missing and Misidentified Skeletons in Nursing Care Action Assessment by Improving Spatial Temporal Graph Convolutional Networks

Han,

Nishida,

Morita

et al. 2024

Bioengineering

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With the increasing aging population, nursing care providers have been facing a substantial risk of work-related musculoskeletal disorders (WMSDs). Visual-based pose estimation methods, like OpenPose, are commonly used for ergonomic posture risk assessment. However, these methods face difficulty when identifying overlapping and interactive nursing tasks, resulting in missing and misidentified skeletons. To address this, we propose a skeleton compensation method using improved spatial temporal graph convolutional networks (ST-GCN), which integrates kinematic chain and action features to assess skeleton integrity and compensate for it. The results verified the effectiveness of our approach in optimizing skeletal loss and misidentification in nursing care tasks, leading to improved accuracy in calculating both skeleton joint angles and REBA scores. Moreover, comparative analysis against other skeleton compensation methods demonstrated the superior performance of our approach, achieving an 87.34% REBA accuracy score. Collectively, our method might hold promising potential for optimizing the skeleton loss and misidentification in nursing care tasks.

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Reliability Analysis of Observation-Based Exposure Assessment Tools for the Upper Extremities: A Systematic Review

Cited by 6 publications

References 51 publications

Reliability and Validity of Observational Methods for Postural Load Assessment: An Updated Systematic Review

Reliability and Validity of Observational Methods for Postural Load Assessment: An Updated Systematic Review

Wearable Motion Capture Devices for the Prevention of Work-Related Musculoskeletal Disorders in Ergonomics—An Overview of Current Applications, Challenges, and Future Opportunities

Compensation Method for Missing and Misidentified Skeletons in Nursing Care Action Assessment by Improving Spatial Temporal Graph Convolutional Networks

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