Results
Upcoming Presentations
The Quest for Full Participation Modeling the Participant Level Drivers of Engagement
Rebecca Booth, MA
Peter Dandelides, MD
To be presented at the DMAA Forum, September 2008
What is the most important, non-clinical factor to improving outcomes? Enrolling participants. Logically, there is no good reason why a chronic patient wouldn’t enroll in a free program that will improve their health. Emotionally, there are several. We have identified some of the barriers to getting participants enrolled in the program and how to best manage the business to ensure you maximize engagement of enrolled participants.
Previous Presentations
Using SAS® Graphics to Explore Behavioral Health Cost Risk
Barbara B. Okerson, HMC, Richmond, VA
As presented at the SAS Global Forum 2008
Behavioral health disorders result in significant economic loss through costs associated with inpatient admissions, lost work days and reduction in at-work productivity. Additionally, over 30% of health plan members with complex health issues have at least one behavioral health issue driving cost risk. This paper looks at graphical representations of cost as part of an effort to develop an overall methodology for prediction of future cost risk from selected behavioral health issues.
Health Risk Assessment as Trigger to Action for Wellness
Griselda Chapa, MPH
Thomas Kotsos
Kenechi Nnamani, MBA
Leah Dewey, MPH
Sam Cramer, MD
As presented at the 2007 National Prevention and Health Summit
Health Risk Assessments are used to identify lifestyle variables that affect health costs, morbidity and mortality. Currently, the responses are viewed not only as an assessment of personal health, but also as a logical springboard to wellness programs that offer evidence-based interventions which can prevent, delay or manage illness. This study looks how HRA may be an early indicator of a respondents’ willingness to change or participate in future interventions.
Papers
Variation in Infant Birth Weight: Socioeconomic Factors versus Medical Conditions
Kenneth G. Hunter, DPA
M. Mark Taslimi MD
This paper seeks to determine the relative effect of socioeconomic variables and medical conditions in explaining changes in infant birth weight, specifically, low birth weight (LBW).
Predicting Variables Affecting Repeat Hospitalizations in a Predominately SSI Medicaid Diabetic Population
Griselda Chapa, MPH
Thomas Kotsos
Nicole Richardson
Cesar DeLeo
Sam Cramer, MD
This study examines a number of factors associated with an increased risk of repeat hospitalizations in a population consisting of managed Medicaid diabetic health plan members enrolled in disease management and looks in to ways of using these findings to determine how to best apportion available resources to reduce the risk of future hospitalizations.
Results
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