Background: The 2001 Feasibility Evaluation Checklist (FEC) is an assessment of work readiness for individuals with acquired brain injury (ABI). It establishes the integrity of basic safety, productivity, and interpersonal factors in neurorehabilitation and vocational settings. This study represents an effort to further develop the FEC to increase its clinical utility.
Objective: To redesign the FEC by conducting Item Response Theory (IRT) analyses on the study's results and combining those mathematical calibrations with clinical expert judgement. The result will be a new measure for use in clinical ABI neurorehabilitation and vocational settings: the Employment Feasibility Checklist (EFC).
Methods: Seven participants with ABI were administered a situational assessment on multiple occasions by occupational therapists in a community rehabilitation clinic. The FEC was used to assess the participant's performance across three areas of basic employment feasibility: safety, productivity, and interpersonal factors. Results were analyzed with IRT-Rasch analysis and then subjected to clinical expert judgment, resulting in adjustment recommendations for the FEC.
Results: In this scale development study, IRT analysis of results from 89 observation trials was combined with expert clinical judgment resulting in a redesigned tool with increased clinical utility for persons with ABI. The EFC is a 12-item observational rating scale for employment feasibility constructs of Productivity and Interpersonal Relations, with an additional six-item Workplace Safety subsection.
Conclusion: The EFC is a mathematically calibrated tool designed to gauge feasibility for competitive employment in clients with ABI. The tool may be useful in clinical neurorehabilitation settings and vocational rehabilitation settings.
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http://dx.doi.org/10.3233/WOR-211055 | DOI Listing |
Trials
January 2025
Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK.
Background: With the population ageing, more victims of community crime are likely to be older adults. The psychological impact of crime on older victims is significant and sustained, but only feasibility trials have been published regarding potential interventions. The integration of public health and care services and cross-agency working is recommended, but there is little information on how this should be undertaken.
View Article and Find Full Text PDFJ Prev Alzheimers Dis
January 2025
Department of Neurology, Brigham and Women's Hospital, Boston, MA, 02115, USA. Electronic address:
Background: The multi-day Boston Remote Assessment of Neurocognitive Health (BRANCH) is a remote, web-based assessment designed to capture the earliest cognitive changes in the preclinical stage of Alzheimer's disease (AD). It has been validated in unimpaired older adults, but as individuals progress on the AD continuum, assessments need to remain feasible and valid at different clinical stages. The focus of this study was to assess feasibility and validity of multi-day BRANCH in participants with and without cognitive impairment.
View Article and Find Full Text PDFAnal Chim Acta
February 2025
School of Chemistry and Chemical Engineering, Nanchang University, Nanchang, 330031, China. Electronic address:
Background: Carbosulfan residues in environment is very harmful to human health. The rapid and high sensitive detection of carbosulfan residues is particularly important to guarantee human health and safety. The conventional chromatographic techniques and enzyme inhibition strategies cannot realize on-site and visual detection of carbosulfan.
View Article and Find Full Text PDFPilot Feasibility Stud
January 2025
Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Comput Biol Med
January 2025
Institute for Neuroradiology, TUM University Hospital, School of Medicine and Health, Technical University of Munich (TUM), Munich, Germany.
Accurate calibration of finite element (FE) models is essential across various biomechanical applications, including human intervertebral discs (IVDs), to ensure their reliability and use in diagnosing and planning treatments. However, traditional calibration methods are computationally intensive, requiring iterative, derivative-free optimization algorithms that often take days to converge. This study addresses these challenges by introducing a novel, efficient, and effective calibration method demonstrated on a human L4-L5 IVD FE model as a case study using a neural network (NN) surrogate.
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