206546
Using GEE to investigate variation in outcomes of the Pennsylvania Cancer Education Network by education level of participants
Tuesday, November 10, 2009: 11:10 AM
Jamiliyah Gilliam
,
Drexel University School of Public Health, Philadelphia, PA
Kathleen Zitka
,
Pennsylvania Department of Health, Harrisburg, PA
Charlotte Greenawalt
,
Pennsylvania Department of Health, Harrisburg, PA
Lisa Ulmer, MSW, ScD
,
Department of Community Health and Prevention, School of Public Health, Drexel University, Philadelphia, PA
Goals and Objectives: The Pennsylvania Cancer Education Network (PCEN) is a public-academic participatory partnership that translates the science of cancer prevention to the statewide practice. This presentation illustrates the use of GEE to investigate whether the outcomes of PCEN's cancer education sessions vary by level of participant education. Methods: This analysis is based on data collected from adults participating in statewide cancer education sessions for four cancers, skin, colorectal, prostate, and ovarian from 4/1/2008 – 6/30/2008. Using a cross-sectional pretest-posttest design, we evaluated participants' knowledge, attitudes, and intention to screen, before and after a 45 minute community-based group health education session that builds trust, discusses health information, and encourages action. The cohort included 4049 skin cancer education participants, 2770 colorectal cancer education participants, 1295 prostate cancer education participants, and 1970 ovarian cancer education participants. We used linear regression based on generalized estimating equation (GEE) to assess the effect of education on the scores of knowledge, attitude, and intention to screen for all four cancers, Results: For all four cancers there was a significant effect of participant education level on all three outcomes. Both the knowledge and intention score increased with higher participant education levels while the worry that screening is embarrassing or painful following the sessions decreased with higher participant education levels. Conclusions: While there are significant increases in knowledge, improved attitudes, and increased intention to screen for all participants, changes are generally largest for participants with less than a college education, highlighting the reach of Pennsylvania's cancer education activities.
Learning Objectives: 1. Describe the importance of investigating variation in cancer education outcomes by baseline characteristics.
2. Describe the rationale for using GEE to evaluate statewide cancer education.
3. Examine the whether the proximal impact of statewide cancer education varies by education level of the participant.
4. Apply the analytic strategy to the evaluation of other statewide initiatives with shortened time series data.
Keywords: Outcomes Research, Cancer Prevention
Presenting author's disclosure statement:Qualified on the content I am responsible for because: Assistant Professor of Biostatistics; Biostatistician for the Pennsylvania Cancer Education Network
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines,
and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed
in my presentation.
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