Objective: The aims of this research were (a) to study the interrater reliability of a posture observation method, (b) to test the impact of different posture categorization systems on interrater reliability, and (c) to provide guidelines for improving interrater reliability.
Background: Estimation of posture through observation is challenging. Previous studies have shown varying degrees of validity and reliability, providing little information about conditions necessary to achieve acceptable reliability.
Method: Seven raters estimated posture angles from video recordings. Different measures of interrater reliability, including percentage agreement, precision, expression as interrater standard deviation, and intraclass correlation coefficients (ICC), were computed.
Results: Some posture parameters, such as the upper arm flexion and extension, had ICCs > or = 0.50. Most posture parameters had a precision around the 10 degrees range. The predefined categorization and 300 posture categorization strategies showed substantially better agreement among the raters than did the 10 degrees strategy.
Conclusions: Different interrater reliability measures described different aspects of agreement for the posture observation tool. The level of agreement differed substantially between the agreement measures used. Observation of large body parts generally resulted in better reliability. Wider width angle intervals resulted in better percentage agreement compared with narrower intervals. For most postures, 30 degrees-angle intervals are appropriate. Training aimed at using a properly designed data entry system, and clear posture definitions with relevant examples, including definitions of the neutral positions of the various body parts, will help improve interrater reliability.
Application: The results provide ergonomics practitioners with information about the interrater reliability ofa postural observation method and guidelines for improving interrater reliability for video-recorded field data.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1177/0018720809340273 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Objective: To analyze the accuracy of ChatGPT-generated responses to common rhinologic patient questions.
Methods: Ten common questions from rhinology patients were compiled by a panel of 4 rhinology fellowship-trained surgeons based on clinical patient experience. This panel (Panel 1) developed consensus "expert" responses to each question.
Translation, cross-cultural adaptation and validation of the Chinese version of supportive and palliative care indicators tool (SPICT-CH) to identify cancer patients with palliative care needs.
BMC Palliat Care
January 2025
School of Nursing, Ningxia Medical University, 1160 Shengli Street of Xingqing District, Yinchuan, 750101, China.
Introduction: People diagnosed with cancer are the most frequent users of palliative care. However, there are no specific standards for early identifying patients with palliative care needs in mainland China. The Supportive and Palliative Care Indicators tool (SPICT) can identify patients with cancer who are in need of palliative care across healthcare settings.
View Article and Find Full Text PDFIlio-femoral impingement angle: a new radiographic measurement.
Hip Int
January 2025
Department of Orthopaedic Surgery, St. Vincents Hospital Melbourne, Victoria, Australia.
Background: Hip dislocations after total hip arthroplasty (THA) are a debilitating complication, often occurring in deep flexion. Current 3D modelling allows for simulating the flexion angle at which bone-on-bone impingement occurs, but it is resource-intensive and not widely available for routine clinical use. Therefore, we propose the ilio-femoral impingement angle (IFIa) as a novel, simple radiographic measure to help identify patients at higher risk for dislocation using standard radiographs.
View Article and Find Full Text PDFReliability of the Italian Version of the Fugl-Meyer Upper Extremity Scale Administered Remotely.
J Clin Med
December 2024
IRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy.
Despite the increase in home-based rehabilitation, outcome measures for telerehabilitation are still underdeveloped. The Fugl-Meyer Assessment (FMA) is one of the most widely used tools for evaluating post-stroke motor deficits, with the upper extremity component (FMA-UE) recommended for assessing motor deficits of the arm. This study aims to examine the intrarater and interrater reliability of the Italian version of the FMA-UE, administered remotely via video conferencing during a robotic telerehabilitation program.
View Article and Find Full Text PDFChatGPT as a Support Tool for Informed Consent and Preoperative Patient Education Prior to Penile Prosthesis Implantation.
J Clin Med
December 2024
Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Urology, Charitéplatz 1, 10117 Berlin, Germany.
: Artificial intelligence (AI), particularly natural language processing (NLP) models such as ChatGPT, presents novel opportunities for patient education and informed consent. This study evaluated ChatGPT's use as a support tool for informed consent before penile prosthesis implantation (PPI) in patients with erectile dysfunction (ED) following radical prostatectomy. : ChatGPT-4 answered 20 frequently asked questions across four categories: ED and treatment, PPI surgery, complications, and postoperative care.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!