2005 HSR&D National Meeting Abstract
2001 — Design and Statistical Strategies for Evaluating Provider Behavior Change
LEE ML (VA Greater Los Angeles HSR&D Center of Excellence)
YANO EM (VA Greater Los Angeles HSR&D Center of Excellence)
RUBENSTEIN LV (VA Greater Los Angeles HSR&D Center of Excellence)
: Health services research interventions aiming to change provider behavior and their care environments commonly require complex research designs and sampling methods to effectively gauge their impact. To assure that investigators adequately prepare and plan for these types of trials, this workshop will describe key research designs (e.g., repeated measures, group randomization) and sampling techniques (e.g., hierarchical sampling) needed to draw valid conclusions, as well as the feasibility and cost issues associated with their conduct. The purpose of this workshop is to:
a. Review techniques for the development of power and sample size in the context of longitudinal and complex survey schemes.
b. Examine the strengths and weaknesses of competing designs to help attendees evaluate schemes appropriate for their particular research goals.
Methodologists will present the basic ideas of longitudinal and complex intervention evaluation designs and sampling methods, providing relatively direct solutions, with illustrations on how to implement these solutions. Case studies will be presented that illustrate how these designs are employed and how the statistical issues are dealt with. The strengths and limitations of potential approaches will also be described, enabling participants to intelligently apply these techniques to research problems at their home institutions.
Researchers may not be completely familiar with the methodologic and practical issues involved in the conduct and analysis of these types of intervention trials. Those interested in understanding how more complex study designs are used and what the basic statistical issues are in implementing such designs will benefit from workshop participation.
Assumed Audience Familiarity with Topic:
Basic research design familiarity helpful.