Factors Associated With Increases in US Health Care Spending, 1996-2013

Importance Health care spending in the United States increased substantially from 1995 to 2015 and comprised 17.8% of the economy in 2015. Understanding the relationship between known factors and spending increases over time could inform policy efforts to contain future spending growth. Objective To quantify changes in spending associated with 5 fundamental factors related to health care spending in the United States: population size, population age structure, disease prevalence or incidence, service utilization, and service price and intensity. Design and Setting Data on the 5 factors from 1996 through 2013 were extracted for 155 health conditions, 36 age and sex groups, and 6 types of care from the Global Burden of Disease 2015 study and the Institute for Health Metrics and Evaluation’s US Disease Expenditure 2013 project. Decomposition analysis was performed to estimate the association between changes in these factors and changes in health care spending and to estimate the variability across health conditions and types of care. Exposures Change in population size, population aging, disease prevalence or incidence, service utilization, or service price and intensity. Main Outcomes and Measures Change in health care spending from 1996 through 2013. Results After adjustments for price inflation, annual health care spending on inpatient, ambulatory, retail pharmaceutical, nursing facility, emergency department, and dental care increased by $933.5 billion between 1996 and 2013, from $1.2 trillion to $2.1 trillion. Increases in US population size were associated with a 23.1% (uncertainty interval [UI], 23.1%-23.1%), or $269.5 (UI, $269.0-$270.0) billion, spending increase; aging of the population was associated with an 11.6% (UI, 11.4%-11.8%), or $135.7 (UI, $133.3-$137.7) billion, spending increase. Changes in disease prevalence or incidence were associated with spending reductions of 2.4% (UI, 0.9%-3.8%), or $28.2 (UI, $10.5-$44.4) billion, whereas changes in service utilization were not associated with a statistically significant change in spending. Changes in service price and intensity were associated with a 50.0% (UI, 45.0%-55.0%), or $583.5 (UI, $525.2-$641.4) billion, spending increase. The influence of these 5 factors varied by health condition and type of care. For example, the increase in annual diabetes spending between 1996 and 2013 was $64.4 (UI, $57.9-$70.6) billion; $44.4 (UI, $38.7-$49.6) billion of this increase was pharmaceutical spending. Conclusions and Relevance Increases in US health care spending from 1996 through 2013 were largely related to increases in health care service price and intensity but were also positively associated with population growth and aging and negatively associated with disease prevalence or incidence. Understanding these factors and their variability across health conditions and types of care may inform policy efforts to contain health care spending.

[1]  M. Tobias,et al.  Adjusting health spending for the presence of comorbidities: an application to United States national inpatient data , 2017, Health Economics Review.

[2]  Christopher J. L. Murray,et al.  Spending on Children’s Personal Health Care in the United States, 1996-2013 , 2017, JAMA pediatrics.

[3]  T. Vos,et al.  US Spending on Personal Health Care and Public Health, 1996-2013. , 2016, JAMA.

[4]  Ashutosh Kumar Singh,et al.  Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015 , 2016, Lancet.

[5]  E. Berndt,et al.  Has The Era Of Slow Growth For Prescription Drug Spending Ended? , 2016, Health affairs.

[6]  Hannah Hamavid,et al.  Assessing the Complex and Evolving Relationship between Charges and Payments in US Hospitals: 1996 – 2012 , 2016, PloS one.

[7]  Nobhojit Roy,et al.  Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990–2013: quantifying the epidemiological transition , 2015, The Lancet.

[8]  Martha A. Starr,et al.  Decomposing growth in spending finds annual cost of treatment contributed most to spending growth, 1980-2006. , 2014, Health affairs.

[9]  Arnold Milstein,et al.  A systemic approach to containing health care spending. , 2012, The New England journal of medicine.

[10]  C. Roehrig,et al.  The growth in cost per case explains far more of US health spending increases than rising disease prevalence. , 2011, Health affairs.

[11]  Hadley Wickham,et al.  The Split-Apply-Combine Strategy for Data Analysis , 2011 .

[12]  J. Newhouse,et al.  Income, insurance, and technology: why does health spending outpace economic growth? , 2009, Health affairs.

[13]  P. Ginsburg High and Rising Health Care Costs: Demystifying U.S. Health Care Spending , 2008 .

[14]  Hadley Wickham,et al.  Reshaping Data with the reshape Package , 2007 .

[15]  Chapin White,et al.  Health care spending growth: how different is the United States from the rest of the OECD? , 2007, Health affairs.

[16]  Taft Parsons Length of stay: managed care agenda or a measure of clinical efficiency? , 2006, Psychiatry (Edgmont (Pa. : Township)).

[17]  S. Altman,et al.  The precarious pricing system for hospital services. , 2006, Health affairs.

[18]  U. Reinhardt The pricing of U.S. hospital services: chaos behind a veil of secrecy. , 2006, Health affairs.

[19]  K. Thorpe,et al.  The rising prevalence of treated disease: effects on private health insurance spending. , 2005, Health affairs.

[20]  H. Luft,et al.  What's behind the health expenditure trends? , 2003, Annual review of public health.

[21]  Bradley C Strunk,et al.  Aging plays limited role in health care cost trends. , 2002, Data bulletin.

[22]  S. Preston,et al.  Demography: Measuring and Modeling Population Processes , 2000 .

[23]  Teri A. Crosby,et al.  How to Detect and Handle Outliers , 1993 .

[24]  J. Newhouse,et al.  An iconoclastic view of health cost containment. , 1993, Health affairs.

[25]  P. Gupta Decomposition of the difference between two rates and its consistency when more than two populations are involved , 1991 .