Evidence map›Paper›PMID 35529584›Full record

ArticleThe American economic review2022

A Satellite Account for Health in the United States.

David M Cutler, Kaushik Ghosh, Kassandra L Messer, Trivellore Raghunathan, Allison B Rosen, Susan T Stewart

Abstract read
In one paragraph

Article in The American economic review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. The impact of health literacy on healthcare spending: theory and evidence from China.International journal of health economics and management · 2026
    Article
  4. Article
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  6. Article
  7. Article
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  10. Assessing Taiwan's pay-for-performance program for diabetes care: a cost-benefit net value approach.The European journal of health economics : HEPAC : health economics in prevention and care · 2023
    Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

David M CutlerHarvard University and NBER, 1805 Cambridge Street, Cambridge, MA 02138.
Kaushik GhoshNational Bureau of Economic Research, 1050 Massachusetts Avenue, Cambridge, MA 02138.
Kassandra L MesserUniversity of Michigan.
Trivellore RaghunathanUniversity of Michigan.
Allison B RosenUniversity of Massachusetts.
Susan T StewartNational Bureau of Economic Research, 1050 Massachusetts Avenue, Cambridge, MA 02138.

Funding

NBER Center for Aging and Health Research-Post COVID-19 Experiences Among Adults with ADRDP30AG012810 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI DAVID M CUTLER · 1999 to 2026
$24.6M
Expanding the National Health AccountsP01AG031098 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI CUTLER, DAVID M · 2009 to 2013
$9.2M
Using Satellite National Health Accounts to Understand Health and Cost ChangesR37AG047312 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI CUTLER, DAVID M · 2015 to 2022
$5.3M
NIA NIH HHS P01 AG031098NIA NIH HHS P30 AG012810NIA NIH HHS R37 AG047312
6 · The paper itself

Abstract

This paper develops a satellite account for the US health sector and measures productivity growth in health care for the elderly population between 1999 and 2012. We measure the change in medical spending and health outcomes for a comprehensive set of 80 conditions. Medical care has positive productivity growth over the time period, with aggregate productivity growth of 1.5% per year. However, there is significant heterogeneity in productivity growth. Care for cardiovascular disease has had very high productivity growth. In contrast, care for people with musculoskeletal conditions has been costly but has not led to improved outcomes.

Identifiers

PMID35529584
PMCPMC9070842

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.