IHME Impact Winter 2011

Page 1

IHME IMPACT INSTITUTE FOR HEALTH METRICS AND EVALUATION

ISSUE 3 / WINTER 2011

BENEATH THE SURFACE INSIDE THIS ISSUE

2 The Director’s View Dr. Christopher Murray discusses IHME’s work to answer three critical questions

3 Deep Dive The story behind the research to measure global education levels

4 Connections New fellows join IHME; recent outreach events

5 Innovations IHME’s recently published work examines algorithms to assess causes of death, distribution of bed nets, the link between women’s education and child mortality, and trends in chronic diseases

IHME researchers use a novel method to estimate diabetes prevalence in all 3,141 US counties Millions of Americans in the United States have been diagnosed with Type 2 diabetes. But knowing the nationwide prevalence of diabetes – or any disease – doesn’t help local health officials make decisions about how to allocate money for prevention or treatment in their communities. Decisions about health care policy and management are made primarily at the local level. And yet, data on risk factors and diseases have mostly been limited to the national and state level. A new approach by the Institute for Health Metrics and Evaluation (IHME) will change that by putting useful, local data in the hands of the people making the tough choices.

“I am happy that IHME has found a way to provide these data to promote health at the community level.” Dr. Ali Mokdad

6 Ripple Effect IHME uses social networking to help determine the Global Burden of Disease

IHME researchers have revised a method of small-area estimation to determine the prevalence of diagnosed diabetes in all 3,141 counties in the United States for 2008. “This is the first time we have been able to dissect the data to this level,” said Ali Mokdad, Professor of Global Health at IHME, one of the study’s lead researchers.

For more information, please visit IHME’s Web site: www.healthmetricsandevaluation.org or contact us at comms@healthmetricsandevaluation.org or +1-206-897-2800 ©Copyright IHME 2011

The project was the brainchild of IHME Director Christopher Murray, said former IHME Post-Graduate Fellow Tanja Srebotnjak, who, along with Mokdad, played a key role in the development and implementation of the new approach.

According to Srebotnjak, a health care professional who is starting a new prevention program would want to know how many people have diabetes in his or her county. Are those people who have diabetes primarily Hispanic, black, or white? How old are they? “These are very relevant questions,” Srebotnjak said. “We have a lot of knowledge about the disease, but when it comes to allocating dollars, you still need to tie it to hard facts and statistics to design an effective prevention or treatment program.” To provide those statistics, researchers started with data from the Behavioral Risk Factor Surveillance System (BRFSS), a Centers for Disease Control and Prevention (CDC) survey that has tracked health conditions and risk behaviors in the US yearly since 1984. They used BRFSS results, along with data on population, race, number of fast food restaurants, household income, and the number of medical doctors to devise a new model for estimating county-level diabetes prevalence. But not all counties had large enough sample sizes to provide a reliable estimate. Continued on page 2

1


Turn static files into dynamic content formats.

Create a flipbook
Issuu converts static files into: digital portfolios, online yearbooks, online catalogs, digital photo albums and more. Sign up and create your flipbook.