3 resultados para Wills

em DigitalCommons@The Texas Medical Center


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From Genes to Genome: An historical perspective (David Wheeler) Ignaz Semmelweis: Medical Prophet Without Honor (Ronald L. Young) Why Lewis Thomas, MD is Not a Bore: The Life of a Biology Watcher (Steven Greenberg) Doctors from Hell: The Horrific Account of Nazi Experiments on Humans (Vivien Spitz) Illuminating Autism: Passing the Torch from the Twentieth Century (Student Essay Contest Winners) (Lynn Yudofsky) Healing Beyond Hippocrates: The Temples of Asclepius and Public Health Care in Ancient Greece (Andrew Baldwin) Iron Wills and Iron Lungs: The Polio Years in Texas (Heather Green Wooten) William Osler and the Inspirational Uses of History (Michael Bliss) Working Too Hard and Achieving Too Much: The Cost of Being Harvey Cushing (Michael Bliss) Medicine in Ancient Egypt (Gene Boisaubin) The History of Diabetes (Jeff Unger)

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The study aim was to determine whether using automated side loader (ASL) trucks in higher proportions compared to other types of trucks for residential waste collection results in lower injury rates (from all causes). The primary hypothesis was that the risk of injury to workers was lower for those who work with ASL trucks than for workers who work with other types of trucks used in residential waste collection. To test this hypothesis, data were collected from one of the nation’s largest companies in the solid waste management industry. Different local operating units (i.e. facilities) in the company used different types of trucks to varying degrees, which created a special opportunity to examine refuse collection injuries and illnesses and the risk reduction potential of ASL trucks.^ The study design was ecological and analyzed end-of-year data provided by the company for calendar year 2007. During 2007, there were a total of 345 facilities which provided residential services. Each facility represented one observation.^ The dependent variable – injury and illness rate, was defined as a facility’s total case incidence rate (TCIR) recorded in accordance with federal OSHA requirements for the year 2007. The TCIR is the rate of total recordable injury and illness cases per 100 full-time workers. The independent variable, percent of ASL trucks, was calculated by dividing the number of ASL trucks by the total number of residential trucks at each facility.^ Multiple linear regression models were estimated for the impact of the percent of ASL trucks on TCIR per facility. Adjusted analyses included three covariates: median number of hours worked per week for residential workers; median number of months of work experience for residential workers; and median age of residential workers. All analyses were performed with the statistical software, Stata IC (version 11.0).^ The analyses included three approaches to classifying exposure, percent of ASL trucks. The first approach included two levels of exposure: (1) 0% and (2) >0 - <100%. The second approach included three levels of exposure: (1) 0%, (2) ≥ 1 - < 100%, and (3) 100%. The third approach included six levels of exposure to improve detection of a dose-response relationship: (1) 0%, (2) 1 to <25%, (3) 25 to <50%, (4) 50 to <75%, (5) 75 to <100%, and (6) 100%. None of the relationships between injury and illness rate and percent ASL trucks exposure levels was statistically significant (i.e., p<0.05), even after adjustment for all three covariates.^ In summary, the present study shows that there is some risk reduction impact of ASL trucks but not statistically significant. The covariates demonstrated a varied yet more modest impact on the injury and illness rate but again, none of the relationships between injury and illness rate and the covariates were statistically significant (i.e., p<0.05). However, as an ecological study, the present study also has the limitations inherent in such designs and warrants replication in an individual level cohort design. Any stronger conclusions are not suggested.^

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Advance care planning has the potential to create positive outcomes in the realm of end-of-life health care. The completion of advance directives and living wills are vital in equipping patients with autonomy and ensuring that their end-of-life wishes are respected. However, there remains a lack of knowledge and low completion rates of advance directives despite their possible improvements and ramifications on health care at the end of life. This study seeks to determine the knowledge of and attitudes towards end-of-life decision-making in South Texas. The study is designed as a cross-sectional, exploratory survey using a descriptive survey instrument to query 71 subjects in South Texas. The setting for the study includes three distinct groups, two in San Antonio, Texas and one in Brownsville, Texas. Unique differences in demographics between the three groups, such as variability in age, ethnicity, language and religious affiliation allowed for preliminary associations to be concluded in describing the results of the survey instrument. Ultimately, this study describes the attitudes and perceptions of advance care planning in South Texas and reveals the need for further education and awareness of the topic, perhaps indicating the need for a public health initiative in this regard.^