Purpose: The Home Falls and Accidents Screening Tool (HOME FAST) was designed as part of a comprehensive health assessment instrument to measure falls risk for older people within their home environment. This paper describes the evaluation of the inter-rater reliability of the HOME FAST.
Method: Forty home visits were undertaken, in urban and rural settings of the UK, by pairs of raters, one of whom was an expert rater. Occupational therapists, occupational therapy assistants and a social worker rated each home using the HOME FAST concurrently with an expert rater. The kappa statistic was used to determine the degree of agreement between pairs of raters.
Results: The overall kappa value for the checklist was 0.62, indicating a fair to good level of agreement between raters. 'Hazardous outside paths' was the only item that demonstrated poor agreement (kappa = 0.30). The expert rater consistently identified more hazards than the other raters, and the level of agreement was stable between raters irrespective of the number of hazards present in the homes visited.
Conclusions: Definitions of non-applicable household features and improving the objectivity of the operational definitions for recognizing hazards that demand more qualitative judgements will enhance the reliability of the HOME FAST.
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http://dx.doi.org/10.1080/09638280110087089 | DOI Listing |
Mult Scler Relat Disord
January 2025
Neurology department, Cairo University, Cairo, Egypt.
Background: Relapsing-remitting MS (RRMS) exhibits significant heterogeneity and different treatment responses. Up to date, there is no international consensus on defining disease activity which foretells potential prognosis. This study aims to develop and validate a "Scoring System for Disease Activity Prognosis in Treatment-Naïve RRMS Patients" (DAPS-RRMS) to help guiding treatment decisions.
View Article and Find Full Text PDFEur Urol Open Sci
January 2025
Department of Urology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Background And Objective: Radiation-induced cystitis (RIC) is an important consequence of pelvic radiotherapy that can cause high morbidity and, in extreme cases, mortality. The lack of a widely accepted classification system makes it difficult to compare treatment regimens. Our aim was to develop a new classification system covering the RIC spectrum to improve treatment comparisons and accurate incidence estimates for systematic use in clinical and research settings.
View Article and Find Full Text PDFClin Anat
January 2025
Division of Anatomy, Department of Radiology, Weill Cornell Medicine, New York, New York, USA.
The hallmark of evidence-based anatomy (EBA) is the anatomical meta-analysis (AMA). The Critical Appraisal Tool for Anatomical Meta-Analysis (CATAM) was recently published to enable users to appraise AMAs quickly and effectively. The tool is valuable for students and clinicians who need to judge the quality of AMAs, which informs clinical decision making and results in better patient care.
View Article and Find Full Text PDFJ Gen Intern Med
January 2025
Hospital Medicine Service, Immigrant Health and Cancer Disparities Service, Departments of Medicine and Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Background: Prior to enrolling in medical Spanish courses, students typically acquire their Spanish skills either through formal second language education only (L2 learners) or by being exposed to Spanish during childhood at home (heritage learners).
Objective: To categorize the language exposures of medical students who participated in a medical Spanish course and explore the associations of exposures with their medical language proficiency score on the Physician Oral Language Observation Matrix (POLOM).
Setting And Participants: Forty-one fourth-year medical students (2021-2022) self-reported demographics and prior language exposures and participated in videorecorded POLOM-rated Spanish standardized patient encounters.
Clin Oral Implants Res
January 2025
Department of Oral and Maxillofacial Radiology, School of Dentistry, Kashan University of Medical Sciences, Kashan, Iran.
Objective: This study evaluated ResNet-50 and U-Net models for detecting and segmenting vertical misfit in dental implant crowns using periapical radiographic images.
Methods: Periapical radiographs of dental implant crowns were classified by two experts based on the presence of vertical misfit (reference group). The misfit area was manually annotated in images exhibiting vertical misfit.
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