Abstract not available

The purpose of this study was to determine the status of health promotion activities provided by Indiana public school corporations for their employees and the impact of corporation leadership on the provision of these activities. The subjects of this study were Indiana public school superintendents. All 291 superintendents were mailed the survey instrument created by the researcher for this study and there were 227 (78%) responses.The results showed that 54% of the responding Indiana school corporations provided some type of health promotion activity for employees on a corporation-wide basis. The primary reason school corporations provided health promotion activities for employees was to keep employees healthy. The major impediment in providing health promotion activities for employees was a lack of resources. School corporations in rural settings were less likely to provide health promotion activities for employees. School corporations were more likely to provide health promotion activities for employees as the number of full-time employees increased. This study also found a relationship between the importance a superintendent placed on providing health promotion activities for employees and the provision of those activities in a school corporation. As worksites, Indiana public school corporations have not met the national goals and objectives for worksites found in Healthy People 2010. / Department of Educational Leadership

This study examines two groups -international and domestic students at Portland State University (PSU) - in terms of their motivations to seek university-health services, and their satisfaction with university-health services. The Theory of Motivated Information Management (W. A. Afifi & Weiner, 2004) served as the foundation for this study to examine the preferences of students in terms of the ways they seek information about their health concerns. Differences in international and domestic students' anxiety, efficacy, and satisfaction with physicians were supported. International students reported more anxiety than domestic students. Domestic students reported being more efficacious than international students when talking to a medical provider about a current medical issue. Also, international students reported higher satisfaction with a medical provider at their last university health services visit. First, subjects were asked if they currently have a medical concern for which they might consider consulting a physician at PSU health services. If this scenario applied, subjects were asked to rate a variety of possible, theoretically informed motivations for seeking medical information by consulting a physician, to test the Theory of Motivated Information Management. Second, subjects were asked if they have previously consulted a physician at PSU health services. If this scenario applied, subjects were asked to provide satisfaction ratings of the physician and staff. The results contribute to the understanding of information-seeking processes and support the theory's effectiveness in this situation, explaining where international and domestic students are significantly different in regard to their responses.

Indiana University-Purdue University Indianapolis (IUPUI) / In medical research, data analysis often requires complex statistical methods where no closed-form solutions are available. Under such circumstances, Monte Carlo (MC) methods have found many applications. In this dissertation, we proposed several novel statistical models where MC methods are utilized. For the first part, we focused on semicompeting risks data in which a non-terminal event was subject to dependent censoring by a terminal event. Based on an illness-death multistate survival model, we proposed flexible random effects models. Further, we extended our model to the setting of joint modeling where both semicompeting risks data and repeated marker data are simultaneously analyzed. Since the proposed methods involve high-dimensional integrations, Bayesian Monte Carlo Markov Chain (MCMC) methods were utilized for estimation. The use of Bayesian methods also facilitates the prediction of individual patient outcomes. The proposed methods were demonstrated in both simulation and case studies. For the second part, we focused on re-randomization test, which is a nonparametric method that makes inferences solely based on the randomization procedure used in clinical trials. With this type of inference, Monte Carlo method is often used for generating null distributions on the treatment difference. However, an issue was recently discovered when subjects in a clinical trial were randomized with unbalanced treatment allocation to two treatments according to the minimization algorithm, a randomization procedure frequently used in practice. The null distribution of the re-randomization test statistics was found not to be centered at zero, which comprised power of the test. In this dissertation, we investigated the property of the re-randomization test and proposed a weighted re-randomization method to overcome this issue. The proposed method was demonstrated through extensive simulation studies.