The Institute for Health Metrics and Evaluation (IHME) is an independent research center at the University of Washington focused on expanding the quantitative evidence base for health. A core research area for IHME is the Global Burden of Diseases, Injuries, and Risk Factors (GBD) enterprise. A systematic, scientific effort to quantify the comparative magnitude of health loss due to diseases, injuries, and risk factors by age, sex, and geography over time, GBD is the largest and most comprehensive effort to date to measure epidemiological levels and trends worldwide. GBD’s aim is to provide policymakers, donors, and researchers with the highest-quality quantitative evidence base to make decisions that achieve better health.
IHME has an outstanding opportunity for a Researcher at the Center for Health Trends and Forecasts. This position is an opportunity to learn about and analyze data on the Health Access and Quality (HAQ) Index in the United States. IHME created this measure of access to and quality based on 32 causes of death that are amenable to personal health care. See Barber et al. Healthcare Access and Quality Index based on mortality from causes amenable to personal health care in 195 countries and territories, 1990–2015: a novel analysis from the Global Burden of Disease Study 2015. Lancet. 2016. For this project, the researcher will analyze the results for individual states to test the effect of health policies, such as Medicare, Medicaid, and the Affordable Care Act.
Research command and analyses
- Construct addition state-level covariates such as private insurance coverage, percentage of veterans who might qualify for medical benefits from the Department of Veterans Affairs, and characteristics of state Medicaid programs
- Estimate the relationship between total mortality from 25 causes applicable to people over 45 years of age in the HAQ Index and Medicare eligibility. Initially, we will conduct a simple analysis with an instrument for Medicare eligibility. We will also conduct a regression discontinuity analysis to test for changes in the relationship between mortality and age at the age of 65.
- Test for the effects of other programs. Three additional programs are: Medicare Part D (prescription drugs) and aspects of Part C (Medicare Advantage), which were introduced in 2003, and the ACA. Play an integral role in the estimation process including transforming and incorporating data, choosing and applying methods, identifying areas for estimation improvement, and conveying results to diverse audiences.
- Develop and implement new computational and statistical methods. Create, test, and use relevant computer code (Stata, R, or Python). Maintain and distribute completed software as needed.
- Review and assess data sources in order to determine their relevance and utility for ongoing analyses.
Publication and dissemination
- Write publication of research findings in international peer-reviewed journals and other publications.
- Document code and analytic approaches systematically so that analyses can be replicated by other team members.
- Master’s in public health, epidemiology, statistics, biostatistics, or related field, or equivalent combination of education and three years’ work experience.
- Demonstrated interest in the research described.
- Experience and demonstrated success in managing large data sets and modeling using at least one of the following programming languages: Stata, Python, R.
- Excellent analytical and quantitative skills.
- Ability to undertake research projects with limited guidance.
- Excellent communication skills.
- PhD in economics, public health, epidemiology, statistics, biostatistics, or related field
Conditions of Employment:
Night and weekend work may be required. Travel to conferences and research meetings occasionally required.