Evidence map›Paper›PMID 20050932›Full record

ArticleHealth services research2010

Managing care? Medicare managed care and patient use of cardiologists.

Marco D Huesch

Abstract readComparative Study
In one paragraph

Article in Health services research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. 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.

Marco D HueschFuqua School of Business, Duke University, and Department of Community & Family Medicine, Duke University School of Medicine, 1 Towerview Drive, Box 90127, Durham, NC 27708-0127, USA. m.huesch@duke.edu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the impact of Medicare managed care (MMC) versus Medicare fee for service (MFFS) on stent patients' use of physicians with lower resource use and better outcomes. DATA SOURCES/STUDY

settingRetrospective secondary data from 2003 through 2006 for 67,476 patients without acute myocardial infarction, staying 2 or more days in hospital, and treated by 486 physicians in Florida performing 10 or more cases per quarter. STUDY

designAnalysis was at the patient level. Multivariate logistic models estimated the probability of an MMC patient using a physician with a particular risk-adjusted profile rank with respect to hospital peers. PRINCIPAL

findingsNo differences were found in usage of physicians with shorter admissions. Compared with MFFS, MMC patients were significantly less likely to use physicians whose average mortality was the lowest/lowest quartiles/below median among facility peers, and more likely to use a physician ranked below median on live discharges directly home (not needing home health care, skilled nursing care, or a subacute hospital convalescence). Similar results were found with emergency admissions, and where physicians both attended and treated.

conclusionsFlorida percutaneous coronary interventions patients insured by MMC used physicians with worse outcome profiles than those of MFFS patients. Results were not consistent with hospital care differences, physician-patient, or payor-physician selection, but they were consistent with selection of unobservably sicker members into MMC and concentration of MMC among physicians.

Indexed as

AgedAngioplasty, Balloon, CoronaryCardiologyClinical CompetenceFloridaHumansLength of StayLogistic ModelsManaged Care ProgramsMedical AuditMedicareModels, EconometricModels, StatisticalOutcome Assessment, Health CarePhysiciansReimbursement Mechanisms

Identifiers

PMID20050932
PMCPMC2838149

What OpenQuestion holds

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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.