142nd APHA Annual Meeting and Exposition

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311701
All-Cause Mortality Trajectories Among U.S. Counties

142nd APHA Annual Meeting and Exposition (November 15 - November 19, 2014): http://www.apha.org/events-and-meetings/annual
Monday, November 17, 2014 : 11:10 AM - 11:30 AM

Peter Baltrus, PhD , National Center For Primary Care, Morehouse School of Medicine, Atlanta, GA
Khusdeep Malhotra, BDS, MPH , National Center for Primary Care, Morehouse School of Medicine, Atlanta, GA
George Rust, MD, MPH, FAAFP, FACPM , Professor of Family Medicine, Morehouse School of Medicine, National Center for Primary Care at Morehouse School of Medicine, Atlanta, GA
 

Objectives: We examined overall and geographic variation in all-cause mortality rate trajectories in U.S. counties from 1999-2010. 

Methods: Discrete mixture models were estimated using county level mortality data for the years 1999 to 2010 obtained from the US Centers for Disease Control and Prevention's public Wide-ranging Online Data for Epidemiologic Research Internet site. Proc Traj in SAS(v. 9.2) was used to detect how counties trajectory data cluster together into groups based on similar intercepts and slopes, and higher order terms.  The trajectory groups were then mapped using ArcGIS.

Results: Two outlying trajectory groups were detected, group 1 (14 counties) with a very low baseline rate and a relative steep decline and a group 8 (4 counties) with very high rates that were relatively unstable.  Counties with a lower baseline rate tended to have a steeper decline in rates.  At baseline, the average mortality rate for group 2 is 774.82 deaths per 100,000 per year decreasing by 10.39 deaths per year, while group 7 has a baseline rate of 1212.40 decreasing 5.57 deaths per year. Much of the Southeastern U.S.  is characterized by counties with worse mortality rate trajectories, while better trajectories tend to be found in the Northeast and the upper Midwest and the West Coast. 

Conclusions:  Disparities in all-cause mortality rates at the county level are in increasing.  Geographic patterns exist but so do geographic outliers.  Further investigation of the demographic, social, and health care system environment that is associated with each of the mortality rate trajectories is warranted.

Learning Areas:

Advocacy for health and health education
Biostatistics, economics
Epidemiology
Public health administration or related administration
Public health or related laws, regulations, standards, or guidelines
Public health or related public policy

Learning Objectives:
Demonstrate the trajectory modeling approach to explain regional disparities in health outcomes

Keyword(s): Health Disparities/Inequities, Public Health Policy

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I have a PhD in Epidemiology and am an Associate Professor of Community Health and Preventive Medicine. I am an author of co-author of 18 publications examining health disparities.
Any relevant financial relationships? Yes

Name of Organization Clinical/Research Area Type of relationship
Morehouse School of Medicine Epidemiology Employment (includes retainer)

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.