Evidence map›Paper›PMID 24533012›Full record

ArticleForum for health economics & policy2013

Better Quality of Care or Healthier Patients? Hospital Utilization by Medicare Advantage and Fee-for-Service Enrollees.

Lauren Hersch Nicholas

Abstract read
In one paragraph

Article in Forum for health economics & policy, 2013. 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. Risk equalization and prevention.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Mortality Differences Between Traditional Medicare and Medicare Advantage: A Risk-Adjusted Assessment Using Claims Data.Inquiry : a journal of medical care organization, provision and financing · 2017
    Article
  9. Article
  10. 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

1 author.

Lauren Hersch NicholasUniversity of Michigan.

Funding

Population Studies Center Infrastructure GrantR24HD041028 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MORENOFF, JEFFREY D · 2001 to 2016
$13.2M
Geographic Variation in the Health and Economic Determinants and Outcomes of ElecK01AG041763 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NICHOLAS, LAUREN HERSCH · 2012 to 2016
$622k
AHRQ HHS R36 HS016836NIA NIH HHS K01 AG041763NICHD NIH HHS R24 HD041028
6 · The paper itself

Abstract

Do differences in rates of use among managed care and Fee-for-Service Medicare beneficiaries reflect selection bias or successful care management by insurers? I demonstrate a new method to estimate the treatment effect of insurance status on health care utilization. Using clinical information and risk-adjustment techniques on data on acute admission that are unrelated to recent medical care, I create a proxy measure of unobserved health status. I find that positive selection accounts for between one-quarter and one-third of the risk-adjusted differences in rates of hospitalization for ambulatory care sensitive conditions and elective procedures among Medicare managed care and Fee-for-Service enrollees in 7 years of Healthcare Cost and Utilization Project State Inpatient Databases from Arizona, Florida, New Jersey and New York matched to Medicare enrollment data. Beyond selection effects, I find that managed care plans reduce rates of potentially preventable hospitalizations by 12.5 per 1,000 enrollees (compared to mean of 46 per 1,000) and reduce annual rates of elective admissions by 4 per 1,000 enrollees (mean 18.6 per 1,000).

Identifiers

PMID24533012
PMCPMC3923607

What OpenQuestion holds

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Registered trials

None linked

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.