Improving Health Outcomes for an Aging Population - AI/ML Supplement

NIH RePORTER · NIH · P01 · $318,837 · view on reporter.nih.gov ↗

Abstract

PROJECT SUMMARY/ABSTRACT Improving Health Outcomes for an Aging Population This application extends a long-running NBER program project on the health and wellbeing of an aging population. Our research plan focuses on better understanding health trends and disparities, the determinants of health, and the effective use of health care resources to improve outcomes for an aging population in an evolving landscape. Project 1 (Case and Deaton) explores variations in health trends across geography, race and ethnicity, education, and cohort, identifying and analyzing the life circumstances of those whose health and wellbeing have worsened. Project 2 (Maestas) focuses on the increasing prevalence of pain and opioid use, and their relationship to health outcomes, work, and disability program enrollment. Project 3 (Duflo) analyzes the rapid rise in chronic disease in aging, poorer populations (focusing on India), and the potential role of public policy interventions in improving health in a global context. Project 4 (Baicker and Obermeyer) applies machine learning tools to administrative data to identify overuse (reflecting care with little health benefit relative to its cost or risks) and underuse (reflecting missed opportunities for health benefits) of medical services, focusing on the case of diagnostic testing. Project 5 (Kolstad and Handel) analyzes the impact of information technology in physician treatment decisions, and the potential health benefits of expanded use of IT in health care. Project 6 (Chandra and Sacarny) looks at how information about provider quality affects patients' decisions about their medical care, and whether information on quality improves health care market performance through competition. Project 7 (Baicker and Finkelstein) looks at the effect of public health insurance on health care and outcomes for poor adults, using a randomized controlled design enabled by Oregon's health insurance lottery. Project 8 (Williams) looks at policies that stimulate or impede research and innovation in medicine, and the degree to which the “new uses” problem results in underinvestment in innovations with a potentially positive social value. The program project leverages synergies in methods, data sources, and health issues addressed, building on common themes of health trends and disparities, the role of information for patients and providers, and the potential for different policies to improve health. This research has particular importance in the context of societal changes in demographics, population health, health policy, health care organization, and medicine. The program project will also continue to serve as the organizational foundation for a much larger community of scholars engaged in health-related research at the NBER, attracting some of the most talented scientists from each new generation of economists to the study of health issues. Linking this community to health researchers in other disciplines, particularly in medical and cli...

Key facts

NIH application ID
10412426
Project number
3P01AG005842-33S1
Recipient
NATIONAL BUREAU OF ECONOMIC RESEARCH
Principal Investigator
Katherine Baicker
Activity code
P01
Funding institute
NIH
Fiscal year
2021
Award amount
$318,837
Award type
3
Project period
1997-02-01 → 2023-06-30