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3368.0: Monday, November 8, 2004: 4:30 PM-6:00 PM | |||
Oral | |||
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| Health outcomes research involves the collection and analysis of data that serves to provide evidence demonstrating the quality of medical care and public health programs. The assessment of patient-reported outcomes in clinical and health survey research has increased dramatically over the past several decades. Evaluations of symptoms, health status, quality of life and patient satisfaction are now primary and secondary outcomes in many clinical trials and observational studies. As indices and markers of therapeutic benefit and risk, these measures must be sensitive to differences that fall within a patient's operative range. Health care providers who must often prioritize resources across their members and among different conditions require a definitive metric. These evaluations typically use scales that have been developed to compare and contrast functioning relative to a given performance standard. To comprehensively evaluate the effectiveness of preventative programs and therapeutic interventions, investigators need to measure patient outcomes with the precision and accuracy that will allow for the detection of health improvements and health decrements that are important to the patient. The purpose of this session is to explore the various statistical, measurement and modeling techniques which can be used to evaluate the effectiveness of therapeutic interventions and prevention programs. | |||
| Learning Objectives: At the end of this session the participant should be able to: 1. Identify methods for evaluating the impact demographic factors on measures of treatment effectiveness 2. Describe the differences in quality of life utility measures 3. Become familiar with the utility of differential item functioning in evaluating treatment effects on quality of life 4. Evaluate the impact of statistically significant measurement bias 5. Learn how to incorporate Bayesian prior information into health care analyses | |||
| Marcia A. Testa, MPH, PhD | |||
| Assessing Sex Differences on Treatment Effectiveness from the Drug Abuse Treatment Outcome Study Suddhasatta Acharyya, PhD, Heping Zhang, PhD | |||
| Quality of Life utilities in the general population: A comparison of results using the Health and Activity Limitation Index and the Quality of Well Being scale Sarah Boslaugh, PhD, Elena M Andresen, PhD, Angela Recktenwald, MS, Kathleen Gillespie, PhD | |||
| Differential item functioning by educational level: An evaluation of the ACTG-384 HIV MOS scale Linda G. Marc, MPH, MS, Lisa F Berkman, PhD, Charles Lewis, PhD, Marcia A. Testa, MPH, PhD | |||
| Evaluating the impact of statistically significant measurement bias Adam C. Carle, MA, PhD | |||
Incorporating Bayesian prior information into CART with application to data-assisted diagnosis ![[ Recorded presentation ]](/static/img/filetypes/16x16/wrf.gif){kind=small} Eric Harvey, PhD, Patrick Crockett, PhD, Linda Goodwin, RN, BC, PhD | |||
| Therapeutic encounters, retention, and completion of outpatient substance abuse treatment: Analysis using the Alcohol and Drug Services Study (ADSS) Lev S. Sverdlov, MD, PhD, Thomas M. Brady, PhD, Leigh A. Henderson, PhD, Sameena Salvucci, PhD, Serge Sverdlov, BS, Hannah Kyeyune, MS | |||
| See individual abstracts for presenting author's disclosure statement and author's information. | |||
| Organized by: | Statistics | ||
| Endorsed by: | Maternal and Child Health; Mental Health | ||
| CE Credits: | CME, Health Education (CHES), Nursing | ||