Purpose: Compare occupational morbidity estimates for migrant and seasonal farmworkers obtained from survey methods versus chart review methods and estimate the proportion of morbidity treated at federally recognized migrant health centers (MHCs) in a highly agricultural region of New York.
Methods: We simultaneously conducted 1) an occupational injury and illness survey among agricultural workers, 2) MHC chart reviews, and 3) hospital emergency room (ER) chart reviews.
Results: Of the 24 injuries reported by 550 survey subjects, 54.2% received treatment at MHCs, 16.7% at ERs, 16.7% at some other facility, and 12.5% were untreated. For injuries treated at MHCs or ERs, the incidence density based on survey methods was 29.3 injuries per 10,000 worker-weeks versus 27.4 by chart review. The standardized morbidity ratio for this comparison was 1.07 (95% confidence intervals = 0.65-1.77).
Conclusions: Survey data indicated that 71% of agricultural injury and illness can be captured with MHC and ER chart review. MHC and ER incidence density estimates show strong correspondence between the two methods. A chart review-based surveillance system, in conjunction with a correction factor based on periodic worker surveys, would provide a cost-effective estimate of the occupational illness and injury rate in this population.
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http://dx.doi.org/10.1016/j.annepidem.2007.07.092 | DOI Listing |
J Integr Neurosci
January 2025
Down Syndrome Program, Division of Medical Genetics and Metabolism, Department of Pediatrics, Massachusetts General Hospital, Boston, MA 02114, USA.
Objective: To study the use of a dementia screening tool in our clinic cohort of adults with Down syndrome.
Study Design: A retrospective chart review of patients with Down syndrome was conducted to follow the use of the Adaptive Behaviour Dementia Questionnaire (ABDQ) in a dementia screening protocol. The ABDQ results for patients aged 40 years and older at a Down syndrome specialty clinic program were assessed.
Cancer Med
February 2025
Pulmonology and Thoracic Oncology Department, APHP Hôpital Tenon and Sorbonne Université, Paris, France.
Background: Real-world data regarding patients with non-small cell lung cancer (NSCLC) with EGFR exon 20 insertion (ex20ins) mutations receiving mobocertinib are limited. This study describes these patients' characteristics and outcomes.
Methods: A chart review was conducted across three countries (Canada, France, and Hong Kong), abstracting data from eligible patients (NCT05207423).
Viruses
December 2024
School of Medicine, Tzuchi University, Hualien 970, Taiwan.
Background: Psoriasis patients who are seropositive for hepatitis B surface antigen (HBsAg) or hepatitis B core antibody (HBcAb) face an elevated risk of hepatitis B virus reactivation (HBVr) when treated with cytokine inhibitors. This study aims to elucidate the risk in this population.
Methods: A retrospective chart review was conducted to assess the risk of HBVr in 73 psoriasis patients treated with cytokine inhibitors from 2013 to 2023.
J Clin Med
January 2025
Department of Pulmonary Medicine, European Hospital Georges Pompidou, 75015 Paris, France.
: Cryoglobulinemia (CG) syndrome is a heterogeneous condition characterized by the presence of cryoglobulins in serum, often leading to vasculitis with protean clinical manifestations. Understanding the presentation of cryoglobulinemia-related symptoms based on cryoprecipitate levels, GC type, and severity at diagnosis is essential for effective management. Hence, this study aimed to provide a comprehensive analysis of patients with positive cryoglobulin detection to investigate these aspects.
View Article and Find Full Text PDFJ Clin Med
January 2025
Department of Neurosurgery, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania.
The convergence of Artificial Intelligence (AI) and neuroscience is redefining our understanding of the brain, unlocking new possibilities in research, diagnosis, and therapy. This review explores how AI's cutting-edge algorithms-ranging from deep learning to neuromorphic computing-are revolutionizing neuroscience by enabling the analysis of complex neural datasets, from neuroimaging and electrophysiology to genomic profiling. These advancements are transforming the early detection of neurological disorders, enhancing brain-computer interfaces, and driving personalized medicine, paving the way for more precise and adaptive treatments.
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