Estimation of Prevalence of Prophylaxis Use Among U.S.Hemophilia Treatment Centers

• Activity Number: 353
• Type: Contributed
• Date/Time: Tuesday, August 5, 2014 : 10:30 AM to 12:20 PM
• Sponsor: Section on Statistics in Epidemiology
• Author(s): Qing Zhang*+ and Megan Ullman and Althea Grant
• Companies: CDC/DBD and University of Texas and CDC
• Keywords: Prevlence ; logistic regression ; splines

Abstract

Prevalence (PR) trend estimation is essential for public health surveillance in order to understand disease burden and uptake of interventions. This paper demonstrates three approaches for estimating PR trends: (1) LOESS smoothing (2) restricted cubic splines and (3) quartic polynomial logistic regression models. Using a national dataset of approximately 8,000 hemophilia males aged 2-79 seen at 135 federally-funded US hemophilia treatment centers, we estimated the prevalence of prophylaxis use in order to demonstrate the unique features of each method of PR estimation. (Prophylaxis is the regularly scheduled administration of clotting factor concentrate to prevent bleeding into muscles, joints and tissue.) We will illustrate similarities and differences of the three methods, which can be applied to estimate indicators for other public health conditions.