The objective of this paper was to estimate the inter-rater reliability of expert assessments of occupational exposures. An inter-rater reliability sub-study was conducted within a population-based case-control study of postmenopausal breast cancer. Detailed information on lifetime occupational histories was obtained from participants and two industrial hygienists assigned exposures to 185 jobs using a checklist of 293 agents. Experts rated exposure for each job-agent combination according to exposure status (unexposed/exposed), confidence that the exposure occurred (possible/probable/definite), intensity (low/medium/high), and frequency (% time per week). The statistical unit of observation was each job-agent assessment (185 jobs × 293 agents = 54,205 assessments per expert). Crude agreement, Gwet AC1/2 statistics, and Cohen's Kappa were used to estimate inter-rater agreement for confidence and intensity; for frequency, the intra-class correlation coefficient (ICC) was used. The majority of job-agent combinations were evaluated by the two experts to be not exposed (crude agreement >98% of decisions). The degree of agreement between the experts for the confidence of exposure status was Gwet AC1/2 = 0.99 (95% CI: 0.99-0.99), and for intensity, a Gwet AC2 = 0.99 (95% CI: 0.99-0.99). For frequency, an ICC of 0.31 (95% CI: 0.26-0.35) was found. A sub-analysis restricted to job-agent combinations for which the two experts agreed on exposure status revealed a moderate agreement for confidence of exposure (Gwet AC2 = 0.66) and high agreement for intensity (Gwet AC2 = 0.96). For frequency, the ICC was 0.52 (95% CI: 0.47-0.57). A high level of inter-rater agreement was found for identifying exposures and for coding intensity, but agreement was lower for the coding of frequency of exposure.
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http://dx.doi.org/10.1080/15459624.2021.1976412 | DOI Listing |
Br J Nurs
January 2025
Physiotherapist, AZ Alma Eeklo, Belgium.
In health care, work-related musculoskeletal disorders are largely attributed to patient-handling tasks. Reliable assessments of patient mobility are imperative to mitigate the musculoskeletal burden on healthcare providers. This study explores the reliability of MK5 Mobility Classes, a patient mobility classification system.
View Article and Find Full Text PDFJ Esthet Restor Dent
January 2025
Department of Oral Surgery and Stomatology, School of Dental Medicine, University of Bern, Bern, Switzerland.
Objective: To assess the reproducibility and reliability of the pink (PES) and white esthetic scores (WES) using digital images and the intra- and inter-examiner agreement among different clinical backgrounds and assessment methods.
Material And Methods: Standardized intraoral images were obtained from adult subjects with an implant-supported single-tooth fixed dental prosthesis located in the maxillary esthetic zone using a digital camera and a true-color intraoral scanner. According to the PES and WES criteria, the images were evaluated by 20 calibrated evaluators, 5 prosthodontists, 5 periodontists, 5 undergraduates, and 5 oral surgeons.
J Neural Eng
January 2025
Department of Physical Medicine and Rehabilitation, MetroHealth Medical Center, 4229 Pearl Road, Suite N4-13, Cleveland, Ohio, 44109-1998, UNITED STATES.
Ipsilateral motor evoked potentials (iMEPs) are believed to represent cortically evoked excitability of uncrossed brainstem-mediated pathways. In the event of extensive injury to (crossed) corticospinal pathways, which can occur following a stroke, uncrossed ipsilateral pathways may serve as an alternate resource to support the recovery of the paretic limb. However, iMEPs, even in neurally intact people, can be small, infrequent, and noisy, so discerning them in stroke survivors is very challenging.
View Article and Find Full Text PDFJOR Spine
March 2025
The Department of Orthopaedic Surgery, Changzheng Hospital Second Military Medical University Shanghai China.
Background: Lumbar facet joint diseases can often lead to reduced work efficiency and increased medical costs. As a primary imaging tool in orthopedics, X-rays offer numerous advantages. However, there is no consensus on the classification of lumbar facet joints based on X-ray imaging.
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