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- Title
- THE EFFECTS OF EICU TECHNOLOGY ON CLINICAL OUTCOMES OF ICU PATIENTS: ANALYSIS OF THE RELATIONSHIP OF PATIENT, HOSPITAL, AND UNIT CHARACTERISTICS TO PROXIMAL AND DISTAL OUTCOMES.
- Creator
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Chandler, Michelle, Wan, Thomas, University of Central Florida
- Abstract / Description
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ABSTRACT Each year approximately five million people are treated in the nation's intensive care units making intensive care one of the most expensive components of the U.S. healthcare system. Of these patients, 400,000-500,000 will die annually giving the ICU the distinction of having the highest rate of mortality and complications in the hospital setting. Studies have demonstrated that one in ten patients who die each day in ICUs might survive if intensivists were present to manage...
Show moreABSTRACT Each year approximately five million people are treated in the nation's intensive care units making intensive care one of the most expensive components of the U.S. healthcare system. Of these patients, 400,000-500,000 will die annually giving the ICU the distinction of having the highest rate of mortality and complications in the hospital setting. Studies have demonstrated that one in ten patients who die each day in ICUs might survive if intensivists were present to manage clinical care and direct treatment plans (Randolph & Pronovost, 2002; Dimick, Pronovost, Heitmiller & Lipsett, 2001; Pronovost et al., 2002). The utilization of supplemental remote telemedicine has been investigated as a means of compensating for the limited resource of intensivists (Breslow et al., 2004; Rosenfeld et al., 2000). One specific use of this technology, the electronic intensive care unit or eICU®, has previously demonstrated the potential to improve physiological and economic outcomes in ICU patients through the use of integrated decision-support and patient data systems. The present study focuses on the eICU® as a 21st century technology capable of improving the quality of patient care and identifies those factors most likely to impact the success of this clinical intervention. This research utilizes a non-experimental pre-and post-intervention study design and examines patient data collected on all admissions to five ICUs managed by two regional tertiary care hospitals during a 36-month time period. Each ICU is equipped with eICU® software systems that allow intensivist surveillance of patients from a remote facility. The data is analyzed using both structural equation modeling and decision tree regression modeling to statistically evaluate the effects of patient, hospital and unit characteristics on proximal and distal outcomes in ICU patients. As the development of clinical complications subsequently affects patient length of stay, cost of stay, and mortality, it becomes increasingly imperative to seek interventions capable of reducing the risk of unfavorable patient outcomes. This study closely examines one such intervention, the eICU®.
Show less - Date Issued
- 2007
- Identifier
- CFE0001959, ucf:47464
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0001959
- Title
- PERCEPTIONS AND THEIR ROLE IN CONSUMER DECISION-MAKING.
- Creator
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Khaddaria, Raman, Gerking, Shelby, University of Central Florida
- Abstract / Description
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This dissertation is an empirical investigation into the roles that different quantifiable and measurable perceptions play in defining individual behavior across a variety of decision-making contexts. In particular, the focus lies on smokers and the choices they make with regard to smoking and beyond. Chapter 1 analyzes a nationally representative sample of adults (23 years and older) in the United States, pertaining to the Annenberg Perception of Tobacco Risk Survey II (1999-2000). It is...
Show moreThis dissertation is an empirical investigation into the roles that different quantifiable and measurable perceptions play in defining individual behavior across a variety of decision-making contexts. In particular, the focus lies on smokers and the choices they make with regard to smoking and beyond. Chapter 1 analyzes a nationally representative sample of adults (23 years and older) in the United States, pertaining to the Annenberg Perception of Tobacco Risk Survey II (1999-2000). It is observed that three dimensions to smoking behavior viz., risk, temporality and addiction, interact to determine the smoking status of an individual. Although previous studies mostly looked into each of these dimensions in isolation, in this chapter, we empirically illustrate how perceptions on risk, time dimensions and addiction, jointly influence the smoking behavior of adults. Chapter 2 casts the smoker in the role of a parent and explores parental behavior towards the general health-risks facing their children. Using the dataset from a survey (2009), conducted in Orlando, Florida, on parents, having at least one child aged between 1 and 16 years, the chapter arrives at two findings relevant for policy: i) In each of the 'smoker' and 'non-smoker' parent categories, parents exhibit equal concern for themselves and their children, and ii) the level of concern shown by smoker-parents, towards health-risks faced by their children, is the same as that shown by their non-smoking counterparts. The analysis in this chapter also affirms the need to incorporate subjective risk assessment in willingness-to-pay (WTP) exercises to facilitate a deeper behavioral analysis of health risk valuation. Lastly, in Chapter 3, we focus on the issue of quantitative assessment of the perception of health risks from smoking. Particular interest lies in understanding how variants of a metric - namely, a survey question - have been employed in academic studies and industry-surveys, in order to measure smoking-related risk-perceptions. In the process of reviewing select tobacco-industry survey records, we analyze the implications of different features of this metric, (e.g., use of a 'probe', the 'Don't Know' option), and various interview modes (e.g. telephonic, face-to-face), for the estimates of perceived risk arrived at in these studies. The review makes clear that two aspects of health risks from smoking - the risk of contracting a smoking-related disease, as against the risk of prematurely dying from it conditional upon getting affected - have not been jointly explored so far. The dataset obtained from the Family Heart Disease and Prevention Survey (November 2010-March 2011), provides a unique opportunity to explore these two kinds of probabilities, particularly with regard to the risks of lung-cancer from smoking. Chapter 3 concludes by illustrating how individuals evaluate both these aspects of health-risks. While the probability of getting lung-cancer is found to be overestimated in conjunction with previous studies, the conditional probability of premature death is severely underestimated. Additionally, it is found that individuals' subjective assessments of either of these risk aspects predict smoking behavior in an identical manner. This calls into question the so-called 'rationality' of smoking decisions with implications for policies designed for the control of tobacco consumption.
Show less - Date Issued
- 2011
- Identifier
- CFE0003918, ucf:48736
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0003918
