Utilizing Harmonization and Common Surveillance Methods to Consolidate Four Cohorts: The Western Alaska Tribal Collaborative for Health (WATCH) Study

Koller, Kathryn

Utilizing Harmonization and Common Surveillance Methods to Consolidate Four Cohorts: The Western Alaska Tribal Collaborative for Health (WATCH) Study

Thursday, 21 August 2014: 9:30 AM

Tubughnenq 4 (Dena'ina Center)

Kathryn R Koller, PhD , Alaska Native Tribal Health Consortium, Anchorage, AK

Abbie W Wolfe, MA , Alaska Native Tribal Health Consortium, Anchorage, AK

Jesse S Metzger, PhD , University of Alaska, Anchorage, AK

Melissa A Austin, PhD , University of Washington Seattle, Seattle, WA

Scarlett E Hopkins, MA , University of Alaska Fairbanks, Fairbanks, AK

Cristiane Kaufmann, MD , University of Alaska Fairbankds, Fairbanks, AK

Stacy E Jolly, MD , Cleveland Clinic, Cleveland, OH

Sven O Ebbesson, PhD , Norton Sound Health Corporation, Nome, AK

Jason G Umans, MD , MedStar Health Research Institute, Hyattsville, MD

Barbara V Howard, PhD , MedStar Research Institute, Hyattsville, MD

Bert B Boyer, PhD , University of Alaska Fairbanks, Fairbanks, AK

INTRODUCTION: According to health status reports, chronic disease prevalence appears to be rising in western Alaska Native (AN) people, and accurate population-based data are needed. Four cohort studies of western AN people were conducted in the Norton Sound and Yukon-Kuskokwim regions, but none have been large enough to allow reliable estimates of rates of chronic diseases and evaluate their risk factors. The methods used to combine four major cohort studies of rural western AN people are described and the benefits and challenges encountered in combining data and standardizing surveillance methods for these studies are discussed.

METHODS: Tribal permission was obtained for each cohort study and the consolidated study. Data from baseline exams were directly combined or harmonized into new variables. Common surveillance methods were developed and implemented to identify incidence and risk factors for cardiovascular disease (CVD) events and type 2 diabetes.

RESULTS: A cohort of 4,569 western AN participants (2,116 men and 2,453 women), ages18-95 years, was established to study CVD and diabetes prevalence. Prospective surveillance data over an average 6.7-year follow up can now be used to study CVD and diabetes incidence and associated risk factors in a subset of 2,754 western AN participants (1,218 men and 1,536 women) who consented to initial surveillance.

CONCLUSIONS: The combined cohort provides statistical power to examine incidence rates and risk factors for CVD and diabetes and allows for analyses by geographic region. The data can be used to develop intervention programs in these populations and others.