CWU Faculty Senate Minutes - 05/20/1992

These are the official Central Washington University Faculty Senate Minutes for the 05/20/1992 regular meeting

A Model to Predict Pre-Hospital Endotracheal Intubation Success

Background: Pre-hospital endotracheal intubation (ETI) is one of the most critical skills performed by paramedics and is considered the “gold standard” of airway management. Pre-hospital ETI success rates are variable, ranging from 33% to 100% across EMS systems in the U.S. Previous investigative efforts have identified factors associated with pre-hospital ETI success, but the generalizability of findings is limited. Few researchers have controlled for the concurrent effects of multiple factors when examining pre-hospital ETI success. Methods: In this retrospective exploratory study, we used national data from the National Emergency Medical Services Information System (NEMSIS) and data from a four state regional representation of the U.S. emergency medical services (EMS) system for 2013 to generate National and Comprehensive State models. Hierarchical logistic regression was used to evaluate what variables predicted pre-hospital ETI success. Results: Type of service requested, U.S. census region, EMS total call time, Center for Medicare and Medicaid Services service level, provider certification level, race, chief complaint organ system, and cardiac arrest were structure factors significantly associated with pre-hospital ETI success (p \u3c .001). Number of pre-hospital ETI attempts and response mode to scene were process factors significantly associated with pre-hospital ETI success (p \u3c .001). Conclusion: Future researchers should examine systems with the best patient outcomes and use Utstein-style templates to frame data collection for airway management. These approaches will help clarify the use of advanced airway management and help to develop evidence-based guidelines for EMS provider

Virginia Commonwealth University Undergraduate Bulletin

Undergraduate bulletin for Virginia Commonwealth University includes information on academic regulations, degree requirements, course offerings, faculty, academic calendar, and tuition and expenses for undergraduate programs

Ohio State University Bulletin

Classes available for students to enroll in during the 1989-1990 academic year for The Ohio State University

The incidence of and risk factors for falls in the Chinese elderly cohort.

Chan Sieu Gaen.Year shown on spine: 1997.Questionnaries in Chinese and English.Thesis (M.Phil.)--Chinese University of Hong Kong, 1996.Includes bibliographical references.AcknowledgementList of tables --- p.iAbstract --- p.viChapter Chapter 1 --- Introduction --- p.1Chapter 1.0 --- Demographic changes of the populationChapter 2.0 --- FallsChapter 2.1 --- Significance of the problemChapter 2.2 --- Physical consequences of fallsChapter 2.3 --- Psychological consequences of fallsChapter 2.4 --- Impact on health servicesChapter 2.5 --- MortalityChapter 2.6 --- Economic consequencesChapter Chapter 2 --- Risk factors for falls --- p.12Chapter 2.1 --- Environmental hazards and circumstances of fallsChapter 2.2 --- Social demographic factorsChapter 2.3 --- Health statusChapter 2.4 --- History of fallsChapter 2.5 --- Mental/DepressionChapter 2.6 --- Health behaviorChapter 2.7 --- Bone mass and anthropometric factorsChapter 2.8 --- Risk factors for multiple fallsChapter 2.9 --- Fall injuriesChapter 2.10 --- Additive effects of risk factorsChapter Chapter 3 --- "Limitation of previous studies, objectives and study methods" --- p.31Chapter 3.1 --- Hospital reports and instiutional-based studiesChapter 3.2 --- Study designChapter 3.3 --- Selection of subjectsChapter 3.4 --- Classification and definition of fallsChapter 3.5 --- Studies on falls in Hong KongChapter 3.6 --- Hong Kong studyChapter 3.7 --- Study methodsChapter 3.8 --- Data collectionChapter 3.9 --- Data analysisChapter Chapter 4 --- Characteristics of respondents and distribution of falls --- p.48Chapter 4.1 --- Characteristics of respondentsChapter 4.2 --- Proportion of fallers and rate of fallsChapter 4.3 --- DiscussionChapter Chapter 5 --- Circumstances and consequences of falls --- p.65Chapter 5.1 --- Time and place of fallsChapter 5.2 --- Activity during and reasons for fallsChapter 5.3 --- Predisposing factors for fallsChapter 5.4 --- Consequences of fallsChapter 5.5 --- DiscussionChapter Chapter 6 --- Characteristics of fallers and nonfallers --- p.85Chapter 6.1 --- Sociodemographic characteristicsChapter 6.2 --- Health statusChapter 6.3 --- Health behaviorChapter 6.4 --- Bone mass and body measurementsChapter Chapter 7 --- Risk factors associated with fallers --- p.99Chapter 7.1 --- Risk factors for fallers (including single and multiple)Chapter 7.2 --- Multiple fallersChapter 7.3 --- Risk factors for single and multiple fallers (vs. non- fallers)Chapter 7.4 --- Comparison of risk factors associated with major injurious falls vs. those with non-major injurious fallsChapter 7.5 --- Independent predictors of fallersChapter 7.6 --- The additive effects of independent risk factorsChapter Chapter 8 --- Discussion on risk factors associated with falls --- p.131Chapter 8.1 --- Social demographic factors and fallsChapter 8.2 --- Acute illnesses/chronic diseasesChapter 8.3 --- Medical consultation and hospitalizationChapter 8.4 --- History of fallsChapter 8.5 --- Perceived health status and ADLChapter 8.6 --- Mental statusChapter 8.7 --- Health behaviorChapter 8.8 --- Physical measurement and neuromuscular impairmentChapter 8.9 --- VisionChapter 8.10 --- MedicationsChapter 8.11 --- Fallers with occasional falls/multiple fallsChapter 8.12 --- Additive effect of risk factorsChapter Chapter 9 --- Conclusion and recommendations --- p.147Chapter 9.1 --- Summary of findingsChapter 9.2 --- Confirmation of risk factors found in baseline cross-sectional studyChapter 9.3 --- Limitation of the present studyChapter 9.4 --- Strength of the present studyChapter 9.5 --- Recommendations on areas for further researchChapter 9.6 --- Recommendations on prevention and intervention measuresReferences --- p.155AppendixCalculation of sample size --- p.1Pooled logistic regression analysis on risk factors associated with falls --- p.2Baseline questionnaire --- p.3First follow-up questionnaire --- p.4Fall ascertainment questionnaire --- p.