Evidence map›Paper›PMID 31032383›Full record

ArticleAmerican journal of health economics2019

The Comparative Advantage of Medicare Advantage.

Joseph P Newhouse, Mary Beth Landrum, Mary Price, J Michael McWilliams, John Hsu, Thomas G McGuire

Abstract read
In one paragraph

Article in American journal of health economics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Observational
  2. Article
  3. Use of Low-Value Cancer Treatments in Medicare Advantage Versus Traditional Medicare.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Observational
  10. Selection in Health Insurance Markets and Its Policy Remedies.The journal of economic perspectives : a journal of the American Economic Association
    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.

Joseph P NewhouseDepartment of Health Care Policy, Harvard Medical School, Harvard University, Boston.
Mary Beth LandrumDepartment of Health Care Policy, Harvard Medical School, Harvard University, Boston.
Mary PriceBiostat Data Consulting, Inc.
J Michael McWilliamsDepartment of Health Care Policy, Harvard Medical School, Harvard University and Department of Medicine, Brigham and Women's Hospital, Boston.
John HsuMongan Institute for Health Care Policy, Massachusetts General Hospital and Department of Health Care Policy, Harvard Medical School, Harvard University, Boston.
Thomas G McGuireDepartment of Health Care Policy, Harvard Medical School, Harvard University.

Funding

Tradeoffs in the Design of Public Long-Term Care BenefitsP01AG032952 · NIA · HARVARD MEDICAL SCHOOL · PI Bruce E. Landon · 2009 to 2026
$39.0M
NIA NIH HHS P01 AG032952
6 · The paper itself

Abstract

We ascertain the degree of service-level selection in Medicare Advantage (MA) using individual level data on the 100 most frequent HCC's or combination of HCC's from two national insurers in 2012-2013. We find differences in the distribution of beneficiaries across HCC's between TM and MA, principally in the smaller share of MA enrollees with no coded HCC, consistent with greater coding intensity in MA. Among those with an HCC code, absolute differences between MA and TM shares of beneficiaries are small, consistent with little service-level selection. Variation in HCC margins does not predict differences between an HCC's share of MA and TM enrollees, although one cannot a priori sign a relationship between margin and service-level selection. Margins are negatively associated with the importance of post-acute care in the HCC. Margins among common chronic disease classes amenable to medical management and typically managed by primary care physicians are larger than among diseases typically managed by specialists. These margin differences by disease are robust against a test for coding effects and suggest that the average technical efficiency of MA relative to TM may vary by diagnosis. If so, service-level selection on the basis of relative technical efficiency could be welfare enhancing.

Identifiers

PMID31032383
PMCPMC6481953

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Registered trials

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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.