Advances in Teaching & Learning Day Abstracts 2004

Proceedings of the Advances in Teaching & Learning Day Regional Conference held at The University of Texas Health Science Center at Houston in 2004.

Advances in Teaching & Learning Day Abstracts 2003

Proceedings of the Advances in Teaching & Learning Day Regional Conference held at The University of Texas Health Science Center at Houston in 2003.

Advances in Teaching and Learning 2005 Webcast - Introductions and Expert Panel

Expert Panel: Documenting Teaching Scholarship for Promotion and Tenure Lemuel Moye, School of Public Health Miguel daCunha, School of Nursing William Tate, Dental School Katherine Loveland, Medical School

Master of Education in Teaching Program with an Emphasis in the Health Sciences

Introduction: Concerns about the quality of physician education have changed current medical education practices. Learners must demonstrate competency in core areas, rather than solely participating in educational activities. Academic medical institutions are challenged with identifying leaders to direct curricular and evaluation reforms. An innovative partnership between the University of Houston College of Education and Baylor College of Medicine, the University of Texas Medical School at Houston, and the University of Texas Dental Branch at Houston offers a Masters of Education in Teaching degree with an emphasis in Health Sciences. Courses encompass fundamental areas including curriculum, instruction, technology, measurement, research design and statistics. [See PDF for complete abstract]

Advances in Teaching & Learning Day Abstracts 2005

Proceedings of the Advances in Teaching & Learning Day Regional Conference held at The University of Texas Health Science Center at Houston in 2005.

A hybrid method in combining treatment effects from matched and unmatched studies

In the biomedical studies, the general data structures have been the matched (paired) and unmatched designs. Recently, many researchers are interested in Meta-Analysis to obtain a better understanding from several clinical data of a medical treatment. The hybrid design, which is combined two data structures, may create the fundamental question for statistical methods and the challenges for statistical inferences. The applied methods are depending on the underlying distribution. If the outcomes are normally distributed, we would use the classic paired and two independent sample T-tests on the matched and unmatched cases. If not, we can apply Wilcoxon signed rank and rank sum test on each case. ^ To assess an overall treatment effect on a hybrid design, we can apply the inverse variance weight method used in Meta-Analysis. On the nonparametric case, we can use a test statistic which is combined on two Wilcoxon test statistics. However, these two test statistics are not in same scale. We propose the Hybrid Test Statistic based on the Hodges-Lehmann estimates of the treatment effects, which are medians in the same scale.^ To compare the proposed method, we use the classic meta-analysis T-test statistic on the combined the estimates of the treatment effects from two T-test statistics. Theoretically, the efficiency of two unbiased estimators of a parameter is the ratio of their variances. With the concept of Asymptotic Relative Efficiency (ARE) developed by Pitman, we show ARE of the hybrid test statistic relative to classic meta-analysis T-test statistic using the Hodges-Lemann estimators associated with two test statistics.^ From several simulation studies, we calculate the empirical type I error rate and power of the test statistics. The proposed statistic would provide effective tool to evaluate and understand the treatment effect in various public health studies as well as clinical trials.^

Advances in Teaching & Learning Day Abstracts 2006

Proceedings of the Advances in Teaching & Learning Day Regional Conference held at The University of Texas Health Science Center at Houston in 2006.

Bringing the Community into the Classroom: Teaching Immunizations Skills via a Community-based Project

Introduction or Statement of Problem Health care profession educators are challenged in their efforts to bring clinical experiences into the class room and to introduce students to community settings early in their didactic training. An immunization program directed at improving childhood immunization rates can introduce students to the community, to students of other disciplines and reinforce the knowledge and skills needed for immunization interventions. Successful interventions increase community demand for immunizations, improve access to services, and educate providers about immunization services and disease. Interventions serve to mold attitudes among health care professionals that foster commitment to universal immunization coverage and low disease rates. [See PDF for complete abstract]

Evidence Based Nursing Research Project

Introduction: A need for baccalaureate prepared nurses to find and use evidence in practice exists. Whereas using this evidence in practice may be a masters level expectation, current practice demands that baccalaureate prepared nurses acquire a basic understanding of how to use evidence in practice. Nursing students at the senior level have had exposure to critiquing research, however, they have difficulty translating evidence to practice. [See PDF for complete abstract]

Smart Classrooms: Guidelines for Educational Technology in Classroom Facility in The University of Texas System

Problem Statement: Classroom facilities developed as new construction or renovation projects for UT System institutions tend to be developed as individual, ad hoc project. There are significant opportunities for process improvement is establishing standard business processes for developing Smart Classroom, establishing design standards and referring to prototype facilities developed at other institutions. [See PDF for complete abstract]

Role of technology: Podcast in influencing respondents to receive a flu shot

Background and Problem: Studies have demonstrated that flu shots are an effective method to control flu infection. However, statistics reveal that only about 68% of people get vaccinated in the U.S. every year. We wanted to develop and evaluate an intervention to increase influenza vaccination rate. [See PDF for complete abstract]

Pilot Project: Use of Wikis to Supplement Student Orientation

Background: During the orientation process, new students are often inundated with manuals, maps, and other materials essential to their success as students. The experience can leave students feeling overwhelmed, unable to sift through the substantial amount of information that has been given to them. Wikis, in contrast, are well-suited for facilitating userinteraction with vast amounts of diverse information. [See PDF for complete abstract]

Narrated PowerPoints and Audio Podcasts in Clinical Teaching: One Clerkship's Experience

Introduction: Clinical medical education is increasingly utilizing novel technological approaches in order to supplement traditional lecture-based didactics. The Neurology Core Clerkship at Baylor College of Medicine is a four week required course taken by clinical medical students. Given the large amount of information to be disseminated in a short period of time, part of the didactic material has been provided online in the form of narrated PowerPoint files or lecture audio tracks along with stand-alone PowerPoint files. The narrated files are generated using the native PowerPoint narration function while the stand-alone audio files are created as MP3 format files using an inexpensive digital recording device. [See PDF for complete abstract]

TP53 as a Biomarker in Head and Neck Squamous Cell Carcinoma

Currently, there are no molecular biomarkers that guide treatment decisions for patients with head and neck squamous cell carcinoma (HNSCC). Several retrospective studies have evaluated TP53 in HNSCC, and results have suggested that specific mutations are associated with poor outcome. However, there exists heterogeneity among these studies in the site and stage of disease of the patients reviewed, the treatments rendered, and methods of evaluating TP53 mutation. Thus, it remains unclear as to which patients and in which clinical settings TP53 mutation is most useful in predicting treatment failure. In the current study, we reviewed the records of a cohort of patients with advanced, resectable HNSCC who received surgery and post-operative radiation (PORT) and had DNA isolated from fresh tumor tissue obtained at the time of surgery. TP53 mutations were identified using Sanger sequencing of exons 2-11 and the associated splice regions of the TP53 gene. We have found that the group of patients with either non-disruptive or disruptive TP53 mutations had decreased overall survival, disease-free survival, and an increased rate of distant metastasis. When examined as an independent factor, disruptive mutation was strongly associated with the development of distant metastasis. As a second aim of this project, we performed a pilot study examining the utility of the AmpliChip® p53 test as a practical method for TP53 sequencing in the clinical setting. AmpliChip® testing and Sanger sequencing was performed on a separate cohort of patients with HNSCC. Our study demonstrated the ablity of the AmpliChip® to call TP53 mutation from a single formalin-fixed paraffin-embedded slide. The results from AmpliChip® testing were identical with the Sanger method in 11 of 19 cases, with a higher rate of mutation calls using the AmpliChip® test. TP53 mutation is a potential prognostic biomarker among patients with advanced, resectable HNSCC treated with surgery and PORT. Whether this subgroup of patients could benefit from the addition of concurrent or induction chemotherapy remains to be evaluated in prospective clinical trials. Our pilot study of the p53 AmpliChip® suggests this could be a practical and reliable method of TP53 analysis in the clinical setting.

A novel method for evaluating an interaction effect of correlated continuous covariates in a linear model

Interaction effect is an important scientific interest for many areas of research. Common approach for investigating the interaction effect of two continuous covariates on a response variable is through a cross-product term in multiple linear regression. In epidemiological studies, the two-way analysis of variance (ANOVA) type of method has also been utilized to examine the interaction effect by replacing the continuous covariates with their discretized levels. However, the implications of model assumptions of either approach have not been examined and the statistical validation has only focused on the general method, not specifically for the interaction effect.^ In this dissertation, we investigated the validity of both approaches based on the mathematical assumptions for non-skewed data. We showed that linear regression may not be an appropriate model when the interaction effect exists because it implies a highly skewed distribution for the response variable. We also showed that the normality and constant variance assumptions required by ANOVA are not satisfied in the model where the continuous covariates are replaced with their discretized levels. Therefore, naïve application of ANOVA method may lead to an incorrect conclusion. ^ Given the problems identified above, we proposed a novel method modifying from the traditional ANOVA approach to rigorously evaluate the interaction effect. The analytical expression of the interaction effect was derived based on the conditional distribution of the response variable given the discretized continuous covariates. A testing procedure that combines the p-values from each level of the discretized covariates was developed to test the overall significance of the interaction effect. According to the simulation study, the proposed method is more powerful then the least squares regression and the ANOVA method in detecting the interaction effect when data comes from a trivariate normal distribution. The proposed method was applied to a dataset from the National Institute of Neurological Disorders and Stroke (NINDS) tissue plasminogen activator (t-PA) stroke trial, and baseline age-by-weight interaction effect was found significant in predicting the change from baseline in NIHSS at Month-3 among patients received t-PA therapy.^