Saturday, 29 October 2011
Learning Objective 1: The learner will be able to identify characteristics predictive of engagement in therapeutic lifestyle change among older adults with hypertension.
Learning Objective 2: The learner will be able to describe the use of a prediction model to facilitate discussions about therapeutic lifestyle changes during patient-provider encounters.
The purpose of this cross-sectional correlational predictive design study is to develop a prediction model of demographic and sociobehavioral characteristics that are common among older adults with hypertension (HTN) who engage in therapeutic lifestyle change (TLC). HTN is ranked as the most common primary diagnosis in the United States affecting 67% of adults aged 60 and older, a number expected to continue increasing given the positive association HTN has to age and the rapidly aging population of the United States. The control rate for all adults with HTN is 34% while the control rate for adults aged 60 and over is only 27%, a rate that has minimally improved since 1988. The challenge of improving HTN prevalence and control is particularly significant given the continuous and consistent relationship high blood pressure has to cardiovascular disease, heart failure, stroke, kidney disease, and retinal diseases. Efforts to manage HTN involve a comprehensive approach that includes the adoption of TLC. Even with the known association between TLC and lowered blood pressure levels, studies indicate that inadequate or inconsistent attention is given to lifestyle risk factors. A prediction model that generates an index score of the likelihood of engagement in TLC can help healthcare providers organize and prioritize care by targeting at-risk individuals and following up with appropriate interventions. Challenges and issues in methodology for this research-in-progress study will be discussed. Preliminary findings will be shared.
See more of: Poster Session I - Rising Stars of Scholarship Invited Student Posters
See more of: Invited Posters
See more of: Invited Posters