2016
DOI: 10.1377/hlthaff.2015.1109
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Health Care Spending Slowdown From 2000 To 2010 Was Driven By Lower Growth In Cost Per Case, According To A New Data Source

Abstract: In 2015 the Bureau of Economic Analysis released an experimental set of measures referred to as the Health Care Satellite Account, which tracks national health care spending by medical condition. These statistics improve the understanding of the health care sector by blending medical claims data and survey data to present measures of national spending and cost of treatment by condition. This article introduces key aspects of the new account and uses it to study the health spending slowdown that occurred in the… Show more

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Cited by 14 publications
(29 citation statements)
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“…Third, the growth rates may differ if individuals shift across plan types (e.g., from PPO to HMO). Dunn, Rittmueller, and Whitmire (2015) find that the MCE in the HCSA count grew by 4.1-4.4 percent per year between 2000 and 2010, compared to 3.1 percent per year for the official PCE health index. Most of this difference occurred early in the decade.…”
Section: Disease-based Cost Indexesmentioning
confidence: 75%
See 3 more Smart Citations
“…Third, the growth rates may differ if individuals shift across plan types (e.g., from PPO to HMO). Dunn, Rittmueller, and Whitmire (2015) find that the MCE in the HCSA count grew by 4.1-4.4 percent per year between 2000 and 2010, compared to 3.1 percent per year for the official PCE health index. Most of this difference occurred early in the decade.…”
Section: Disease-based Cost Indexesmentioning
confidence: 75%
“…Currently, the BEA measure does not adjust for patient severity. Dunn, Rittmueller, and Whitmire (2015) find that severity adjustment would tend to reduce MCE inflation. The MCE index is currently produced with a 3-year lag.…”
Section: Disease-based Cost Indexesmentioning
confidence: 87%
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“…However, the most comprehensive efforts to decompose spending by diseases have been carried in the USA. While some studies have focused on decomposing US healthcare spending by diseases [10,11], others have focused on the impact on spending of potential drivers, such as changes in cost per treated case or changes in treated prevalence [12][13][14][15][16][17]. To the best of our knowledge, the only study decomposing total spending by the same collectively exhaustive set of disease classifications was the study by Dieleman and coauthors [11], which decomposed US personal healthcare spending (corresponding to 85% of the US's NHA) into 155 diseases.…”
Section: Introductionmentioning
confidence: 99%