272412 Issues with Age-Adjustment in Chronic Disease Populations

Monday, October 29, 2012 : 9:30 AM - 9:50 AM

Kimberly Hurvitz, MHS , Office of Analysis and Epidemiology, National Center for Health Statistics, CDC, Hyattsville, MD
LCDR David T. Huang, PhD, MPH, CPH , Office of Analysis and Epidemiology, National Center for Health Statistics, CDC, Hyattsville, MD
Jeffrey Pearcy, MS , Office of Analysis and Epidemiology, National Center for Health Statistics, CDC, Hyattsville, MD
Makram Talih, PhD , Office of Analysis and Epidemiology, National Center for Health Statistics, CDC, Hyattsville, MD
For comparisons made across time or between population groups, age adjustment is often used to eliminate differences in crude rates that result from differences in the populations' age distributions. In HP2010, direct age adjustment to the 2000 standard population was used for age adjusted objectives. For HP2020, adjustment to the 2000 standard population will continue to be used to make comparisons across Healthy People tracking periods and between numerous Healthy People objectives. Moving forward, we are exploring use of additional age adjusted statistics using the age distribution of the specific chronic disease as the standard population for objectives that target persons with chronic diseases, e.g., diabetes, cancer, chronic kidney disease, arthritis, coronary heart disease, and hypertension. The age distribution of the population with chronic diseases tends to be older than the overall population. For example, in the case of hypertension control, age adjustment using the 2000 standard population results in a lower estimate than age adjustment using the population with hypertension, which could affect measures of health disparities and of progress toward attainment of HP targets. Presenting findings for age adjusted objectives using both the 2000 standard and the supplemental disease-specific standard could make HP2020 more useful to general audiences, including policy-makers and the public, as well as to the scientific community.

Learning Areas:
Biostatistics, economics
Conduct evaluation related to programs, research, and other areas of practice
Epidemiology
Public health or related public policy

Learning Objectives:
Recognize the importance of age adjustment for making comparisons across time and between population groups. Explain how to apply direct age adjustment methods. Assess the effect of different standard populations in age-adjustment for HP2020 objectives. Discuss challenges in communicating age adjustment methods and results to a wide range of stakeholders.

Keywords: Healthy People 2000/2010, Chronic Diseases

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I have more than 3 years of experience working as an epidemiologist for CDC/National Center for Health Statistics and providing statistical consultation for the measurement and data analysis of Healthy People objectives, many of which target persons with chronic diseases.
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.