Online Program

332800
Quantifying the burden of disease and the expenditure associated with behavioral, physiological, and occupational risk factors


Monday, November 2, 2015 : 12:30 p.m. - 12:45 p.m.

Howard Bolnick, MBA, FSA, The Vitality Group, New York, NY
Anthony Bui, BA, Department of Global Health, University of Washington, Institute for Health Metrics and Evaluation, Seattle, WA
Anne Bulchis, MPH, Department of Global Health, University of Washington, Institute for Health Metrics and Evaluation, Seattle, WA
Jonathan Dugas, PhD, The Vitality Group, New York, NY
Liya Lomsadze, BS, Department of Global Health, University of Washington, Institute for Health Metrics and Evaluation, Seattle, WA
Francois Millard, FIA, FSA, Vitality Group, Chicago, IL
Derek Yach, MBChB MPH, The Vitality Institute, New York, NY
Joseph Dieleman, PhD, Department of Global Health, University of Washington, Institute for Health Metrics and Evaluation, Seattle,, WA
Many causes of health burden in the United States are preventable or manageable through effective health promotion and prevention. The aim of this study is to better understand the relationships between risk factors, medical conditions, and health expenditure. We examine a set of lifestyle risks which can be targeted by private and public health promotion and prevention programs for children, working-aged adults, and adults older than 65 years, and their associated illnesses and health expenditure in 2012.

Disease burden and population attributable fractions (PAFs) relating risk factors to causes of illness are drawn from the Global Burden of Disease 2013 study. Data on disease expenditure by age, sex, and disease are drawn from the Institute for Health Metrics and Evaluation’s U.S. Disease Expenditure project. The fraction of disease burden attributed to each risk factor is applied to its expenditure to obtain the amount of savings that could have been achieved had the risk factor been at the ideal scenarios – those which are regularly targeted by health promotion programs. We also apply pragmatic risk factor thresholds to consider the burden and costs averted if the US were able to reduce risk factor prevalence to the best observed level across all countries.

Preliminary results show that decreasing lifestyle risk factors to clinical minimums could prevent a substantial amount of health expenditure. For example, we estimate that from 2006 to 2010 diet-related risk factors contributed to $130 billion in health care expenditure across cardiovascular diseases, circulatory diseases, diabetes, cancer, and musculoskeletal disorders.

Learning Areas:

Chronic disease management and prevention
Public health or related education
Public health or related public policy
Public health or related research
Systems thinking models (conceptual and theoretical models), applications related to public health

Learning Objectives:
Identify a handful of risk factors which are linked with non-communicable diseases. Explain how a population attributable fraction links risk factors to causes of illness. Describe the distinction between a risk factor’s theoretical minimum versus a clinical minimum and how they relate to health promotion and health expenditure.

Keyword(s): Health Promotion and Education, Economic Analysis

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I have lead the Financial Resources of Health research team at the Institute for Health Metrics and Evaluation for two years, have worked in global health and health economics for five years, and have PhD in economics. I am co-investigator or co-principal investigator on several funded grants related to tracking resources for health.
Any relevant financial relationships? No

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.