[Skip to Content]
Sign In
Individual Sign In
Create an Account
Institutional Sign In
OpenAthens Shibboleth
Purchase Options:
[Skip to Content Landing]
Views 24,290
Citations 0
Original Investigation
November 7, 2017

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

Author Affiliations
  • 1Institute for Health Metrics and Evaluation, Seattle, Washington
  • 2David Geffen School of Medicine, University of California, Los Angeles
JAMA. 2017;318(17):1668-1678. doi:10.1001/jama.2017.15927
Key Points

Question  How are 5 factors—population growth, population aging, disease prevalence or incidence, service utilization, and service price and intensity—associated with health care spending increases in the United States from 1996 to 2013?

Findings  Health care spending increased by $933.5 billion from 1996 to 2013. Service price and intensity alone accounted for more than 50% of the spending increase, although the association of the 5 factors with spending varied by type of care and health condition.

Meaning  Understanding the factors associated with health care spending increases, and their variability across conditions and types of care, can inform policy efforts to contain health care spending.

Abstract

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.

×