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K M Freeman

Publications and source records attributed to K M Freeman.

3 recordsLinked to original sources

Serum cotinine as a marker of environmental tobacco smoke exposure in epidemiological studies: the experience of the MATISS project.

To describe serum cotinine levels in a rural Italian population and to examine its usefulness as an epidemiologic biomarker of nicotine exposure, cross-sectional data collected in 1993 for the MATISS Project (2098 men and 1352 women, aged 20-79 years) were used. The study population consisted of 977 current smokers, 882 nonsmokers reporting exposure to environmental tobacco smoke (ETS) and 1520 nonsmokers reporting no ETS exposure. Mean values of serum cotinine measured by radioimmunoassay for never smokers, ex-smokers and current smokers (including four categories of cigarette consumption), and for categories of ETS exposure in all nonsmokers were calculated. In univariate analysis, there was a positive association between self-reported nicotine exposure and serum cotinine levels in all groups. Using self-reported status as truth, sensitivity and specificity for various cotinine cutoff points were estimated to distinguish nonsmokers from smokers. The value of 15 ng/mL represented the best combined levels of sensitivity (95%) and specificity (96%). Using this cutoff point, the overall misclassification rate for self-reported nonsmokers was 2.1% and about two times greater for the more vs. the less educated. In multivariate analysis, reported ETS exposure among nonsmokers was significantly associated with serum cotinine even after adjusting for age, socio-demographic and behavioural factors, though the strength of the association was not strong. In conclusion, serum cotinine represents a reliable epidemiological marker of nicotine intake and may be helpful when studying ETS exposure. Improved information collection is needed to reduce misclassification among nonsmokers and enhance our understanding of the relationship between ETS and cotinine measures.

Adult↗

A virtual reality patient simulation system for teaching emergency response skills to U.S. Navy medical providers.

Rapid and effective medical intervention in response to civil and military-related disasters is crucial for saving lives and limiting long-term disability. Inexperienced providers may suffer in performance when faced with limited supplies and the demands of stabilizing casualties not generally encountered in the comparatively resource-rich hospital setting. Head trauma and multiple injury cases are particularly complex to diagnose and treat, requiring the integration and processing of complex multimodal data. In this project, collaborators adapted and merged existing technologies to produce a flexible, modular patient simulation system with both three-dimensional virtual reality and two-dimensional flat screen user interfaces for teaching cognitive assessment and treatment skills. This experiential, problem-based training approach engages the user in a stress-filled, high fidelity world, providing multiple learning opportunities within a compressed period of time and without risk. The system simulates both the dynamic state of the patient and the results of user intervention, enabling trainees to watch the virtual patient deteriorate or stabilize as a result of their decision-making speed and accuracy. Systems can be deployed to the field enabling trainees to practice repeatedly until their skills are mastered and to maintain those skills once acquired. This paper describes the technologies and the process used to develop the trainers, the clinical algorithms, and the incorporation of teaching points. We also characterize aspects of the actual simulation exercise through the lens of the trainee.

Algorithms↗