THE INTERACTION BETWEEN INTERNAL AND EXTERNAL INFORMATION ON RELATIONAL DATA SEARCH

People often use tools to search for information. In order to improve the quality of an information search, it is important to understand how internal information, which is stored in user’s mind, and external information, represented by the interface of tools interact with each other. How information is distributed between internal and external representations significantly affects information search performance. However, few studies have examined the relationship between types of interface and types of search task in the context of information search. For a distributed information search task, how data are distributed, represented, and formatted significantly affects the user search performance in terms of response time and accuracy. Guided by UFuRT (User, Function, Representation, Task), a human-centered process, I propose a search model, task taxonomy. The model defines its relationship with other existing information models. The taxonomy clarifies the legitimate operations for each type of search task of relation data. Based on the model and taxonomy, I have also developed prototypes of interface for the search tasks of relational data. These prototypes were used for experiments. The experiments described in this study are of a within-subject design with a sample of 24 participants recruited from the graduate schools located in the Texas Medical Center. Participants performed one-dimensional nominal search tasks over nominal, ordinal, and ratio displays, and searched one-dimensional nominal, ordinal, interval, and ratio tasks over table and graph displays. Participants also performed the same task and display combination for twodimensional searches. Distributed cognition theory has been adopted as a theoretical framework for analyzing and predicting the search performance of relational data. It has been shown that the representation dimensions and data scales, as well as the search task types, are main factors in determining search efficiency and effectiveness. In particular, the more external representations used, the better search task performance, and the results suggest the ideal search performance occurs when the question type and corresponding data scale representation match. The implications of the study lie in contributing to the effective design of search interface for relational data, especially laboratory results, which are often used in healthcare activities.

BENCHMARKING AND IMPLEMENTATION OF A NEW INDEPENDENT MONTE CARLO DOSE CALCULATION QUALITY ASSURANCE AUDIT TOOL FOR CLINICAL TRIALS

Introduction Commercial treatment planning systems employ a variety of dose calculation algorithms to plan and predict the dose distributions a patient receives during external beam radiation therapy. Traditionally, the Radiological Physics Center has relied on measurements to assure that institutions participating in the National Cancer Institute sponsored clinical trials administer radiation in doses that are clinically comparable to those of other participating institutions. To complement the effort of the RPC, an independent dose calculation tool needs to be developed that will enable a generic method to determine patient dose distributions in three dimensions and to perform retrospective analysis of radiation delivered to patients who enrolled in past clinical trials. Methods A multi-source model representing output for Varian 6 MV and 10 MV photon beams was developed and evaluated. The Monte Carlo algorithm, know as the Dose Planning Method (DPM), was used to perform the dose calculations. The dose calculations were compared to measurements made in a water phantom and in anthropomorphic phantoms. Intensity modulated radiation therapy and stereotactic body radiation therapy techniques were used with the anthropomorphic phantoms. Finally, past patient treatment plans were selected and recalculated using DPM and contrasted against a commercial dose calculation algorithm. Results The multi-source model was validated for the Varian 6 MV and 10 MV photon beams. The benchmark evaluations demonstrated the ability of the model to accurately calculate dose for the Varian 6 MV and the Varian 10 MV source models. The patient calculations proved that the model was reproducible in determining dose under similar conditions described by the benchmark tests. Conclusions The dose calculation tool that relied on a multi-source model approach and used the DPM code to calculate dose was developed, validated, and benchmarked for the Varian 6 MV and 10 MV photon beams. Several patient dose distributions were contrasted against a commercial algorithm to provide a proof of principal to use as an application in monitoring clinical trial activity.

Evaluating the relative status of health and safety programs for minority academic and research institutions

A variety of occupational hazards are indigenous to academic and research institutions, ranging from traditional life safety concerns, such as fire safety and fall protection, to specialized occupational hygiene issues such as exposure to carcinogenic chemicals, radiation sources, and infectious microorganisms. Institutional health and safety programs are constantly challenged to establish and maintain adequate protective measures for this wide array of hazards. A unique subset of academic and research institutions are classified as historically Black universities which provide educational opportunities primarily to minority populations. State funded minority schools receive less resources than their non-minority counterparts, resulting in a reduced ability to provide certain programs and services. Comprehensive health and safety services for these institutions may be one of the services compromised, resulting in uncontrolled exposures to various workplace hazards. Such a result would also be contrary to the national health status objectives to improve preventive health care measures for minority populations.^ To determine if differences exist, a cross-sectional survey was performed to evaluate the relative status of health and safety programs present within minority and non-minority state-funded academic and research institutions. Data were obtained from direct mail questionnaires, supplemented by data from publicly available sources. Parameters for comparison included reported numbers of full and part-time health and safety staff, reported OSHA 200 log (or equivalent) values, and reported workers compensation experience modifiers. The relative impact of institutional minority status, institution size, and OSHA regulatory environment, was also assessed. Additional health and safety program descriptors were solicited in an attempt to develop a preliminary profile of the hazards present in this unique work setting.^ Survey forms were distributed to 24 minority and 51 non-minority institutions. A total of 72% of the questionnaires were returned, with 58% of the minority and 78% of the non-minority institutions participating. The mean number of reported full-time health and safety staff for the responding minority institutions was determined to be 1.14, compared to 3.12 for the responding non-minority institutions. Data distribution variances were stabilized using log-normal transformations, and although subsequent analysis indicated statistically significant differences, the differences were found to be predicted by institution size only, and not by minority status or OSHA regulatory environment. Similar results were noted for estimated full-time equivalent health and safety staffing levels. Significant differences were not noted between reported OSHA 200 log (or equivalent) data, and a lack of information provided on workers compensation experience modifiers prevented comparisons on insurance premium expenditures. Other health and safety program descriptive information obtained served to validate the study's presupposition that the inclusion criteria would encompass those organizations with occupational risks from all four major hazard categories. Worker medical surveillance programs appeared to exist at most institutions, but the specific tests completed were not readily identifiable.^ The results of this study serve as a preliminary description of the health and safety programs for a unique set of workplaces have not been previously investigated. Numerous opportunities for further research are noted, including efforts to quantify the relative amount of each hazard present, the further definition of the programs reported to be in place, determination of other means to measure health outcomes on campuses, and comparisons among other culturally diverse workplaces. ^

Determinants of quality of advanced cancer care in Latin America. A look at five countries: Argentina, Brazil, Cuba, Mexico and Peru

The World Health Organization reports that nearly half a million people died of cancer in Latin America in 2001. As a growing public health problem, cancer is now either the first or second leading cause of death among adults in most Latin American nations. Despite these trends, information on the quality of care people with advanced cancer in Latin America receive has been limited. This study assessed the quality of advanced cancer care in diverse Latin American countries and institutions by surveying cancer care providers from: Argentina; Brazil; Cuba; Mexico; and Peru. This study also identified the most salient factors that influence the quality of this care at the national and institutional levels and compared these factors across countries. This study was based on the secondary analyses of data collected by the University of Texas M. D. Anderson's WHO/PAHO Collaborating Center in Supportive Cancer Care from March 2000 to November 2002. The sample for this survey was a convenience sample of physicians and nurses who treat cancer patients in these regions. Strategies for the dissemination of this survey included: mass mailings; distribution at professional meetings/conferences; collaboration with regional institutions, professional organizations and PAHO; and the posting of online surveys. The strongest predictor of providers' assessments of the quality of advanced cancer care was their ratings of access to care. This major finding reflects a shared equitable notion of quality care among providers from diverse countries and medical institutions that is highly interrelated with providing accessible care to those with advanced cancer. Higher ratings of the affordability of care, an increased reported availability of end-of-life services and opioid analgesics, practicing in either a private hospital or specialized cancer center, and practicing in Cuba were also associated with higher provider ratings of the quality of advanced cancer care. The findings of this study contribute towards the much needed body of knowledge that may guide the formulation of policies and interventions aimed at improving the care for people with advanced cancer in Latin America. ^

Assessing the relationship between board composition and nonprofit hospital financial performance from a multi-theoretic perspective

This dissertation assesses the relationship between board composition and financial performance for the top 71 major nonprofit hospitals in the United States during the period 2004-2009. The underlying data were collected from copies of IRS Form 990 available at http://www.guidestar.org . The dissertation investigates five factors: board size, board independence (percentage of outsiders), number of MDs, CEO succession and CEO compensation. And it evaluates the results within a multi-theoretic framework drawing on agency theory, resource dependence theory, institutional theory and social network theory. Corporate governance literature suggests that board composition has an important impact on firm financial performance. This dissertation examines whether the same may be true for nonprofit hospitals. The results should help hospital executives make better governance decisions during trying economic times.^