Basic Study Description Randomized Behavioral Clinical Trial

1. Medium High Low RUSH Logo in White HERE Percentage of Expected Participant Contacts Completed Summarized in 3 Categories Percentage of Expected Participant Contacts Completed PROBLEM In order get the most information out of a longitudinal study you need to have good participant retention and consistent participant contacts for the length of the study. How can studies increase consistent participant follow-up? HYPOTHESIS Easily collected demographic and medical information at baseline predicts consistent participant follow-up. AIM Help studies target their resources more efficiently. USING BASELINE CHARACTERISTICS TO PREDICT RELIABLE PARTICIPANT FOLLOW-UPElizabeth Avery, Imke Janssen and Glenda KravitzRush University Medical Center. Chicago, Illinois, USA Basic Study Description • Randomized Behavioral Clinical Trial • 902 Adults with Cardiac Heart Failure • Conducted in the City of Chicago & the Chicago Metropolitan area. • Recruitment started in November 2002 Ordinal Logistic Regression Model3 Predicting Participant Contact Completion Category: 0 - ≤ 50%, 50 - ≤ 85%, 85 - 100% • CONCLUSIONS • When planning a behavioral trial involving participants with a chronic condition over several years, several participant characteristics should be taken into account when recruiting: • Ethnicity does not seem to be a predictor of consistent follow-up. • More time and resources may need to be focused on men to keep them involved in the study. • Older participants may have more consistent follow-up. • BUT as participants with several co-morbidities age the odds of consistent follow-up decrease. • Older participants with several co-morbidities may not be able to stay involved in a longitudinal study lasting several years. • Planned Participant Contacts to Collect Endpoints • Up to 3 Annual Interviews • Telephone Contacts every 3 months between Annual Interviews • A Maximum of 12 scheduled contacts • There were 7109 Total contacts in HART • No Monetary Stipend or Gift was given to the Participants • Older participants were more likely to be in a higher contact completion category than younger participants. • Women were more likely to be in a higher contact completion category than men. • Race was not a significant predictor of contact completion • Participants with higher education were more likely to be in a higher completion category (borderline significant). Expected Number of Participant Contacts used in this Analysis The number of contacts that should have been completed as of October 1, 2006 or a month before the participant died. 1 16 participants were excluded because they died before their first contact was due and 4 participants were excluded due to missing education level at baseline. 2 Self reported co-morbidities recorded at baseline in HART were Previous MI, Hypertension, Diabetes, Cancer, Stroke, Renal Disease, Arthritis, Lung disease, Liver disease, Depression, Asthma, Sleep Apnea and Parkinson’s Disease. 3No other variables were used in this model. The proportional odds assumption held. No other significant interactions were found. Some other variables considered were marital status, six minute walk distance, NYHA Class, self reported physical activity, income, and each individual co-morbidity