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Do New Drugs Increase Life Expectancy? A Critique of a Manhattan Institute Paper

Overview of attention for article published in Journal of General Internal Medicine, March 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

news
1 news outlet
twitter
1 X user
facebook
2 Facebook pages

Citations

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13 Dimensions

Readers on

mendeley
33 Mendeley
Title
Do New Drugs Increase Life Expectancy? A Critique of a Manhattan Institute Paper
Published in
Journal of General Internal Medicine, March 2009
DOI 10.1007/s11606-009-0954-4
Pubmed ID
Authors

Dean Baker, Adriane Fugh-Berman

Abstract

A recent study published by the Manhattan Institute, "Why Has Longevity Increased More in Some States than in Others? The Role of Medical Innovation and Other Factors," purported to show that the more rapid adoption of new drugs has substantial benefits in the form of increased life expectancy, higher productivity and lower non-drug health care expenditures. This study has been cited as evidence supporting the more rapid acceptance of new drugs in Medicaid, Medicare, and other public programs and has helped to shape public debate on the value of new drugs. This analysis questions the key conclusions of the study. It points out that the key statistical regressions appear to be misspecified, since they show anomalies such as a negative correlation between income growth and life expectancy and find no relationship between education and productivity growth. Methodological flaws addressed include lack of adjustment for infant mortality rates; inadequate proxy measures of health status; lack of adjustment for ages of individuals and other sociodemographic factors; inherent problems with the definition of drug age, or 'vintage;' and the failure to consider reverse causation as an obvious explanation for several findings. The Manhattan Institute study does not provide reliable evidence for favoring adoption of newer drugs in either public or private health care programs.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Uruguay 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 15%
Student > Ph. D. Student 5 15%
Professor > Associate Professor 4 12%
Other 3 9%
Student > Bachelor 3 9%
Other 5 15%
Unknown 8 24%
Readers by discipline Count As %
Medicine and Dentistry 10 30%
Economics, Econometrics and Finance 6 18%
Agricultural and Biological Sciences 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 3 9%
Unknown 9 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 April 2018.
All research outputs
#2,372,982
of 23,911,072 outputs
Outputs from Journal of General Internal Medicine
#1,788
of 7,806 outputs
Outputs of similar age
#7,448
of 95,861 outputs
Outputs of similar age from Journal of General Internal Medicine
#10
of 38 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,806 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 95,861 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.