Evidence map›Paper›PMID 19732169›Full record

ArticleHealth services research2009

Learning by doing, scale effects, or neither? Cardiac surgeons after residency.

Marco D Huesch

Abstract read
In one paragraph

Article in Health services research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Organizational learning-by-doing in liver transplantation.International journal of health economics and management · 2018
    Article
  2. Association of Surgeon Age and Experience With Congenital Heart Surgery Outcomes.Circulation. Cardiovascular quality and outcomes · 2017
    Article
  3. Measuring the Volume-Outcome Relation for Complex Hospital Surgery.Applied health economics and health policy · 2016
    Article
  4. Observational
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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, 1 Towerview Drive, 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 impacts of operating surgeon scale and cumulative experience on postoperative outcomes for patients treated with coronary artery bypass grafts (CABG) by "new" surgeons. Pooled linear, fixed effects panel, and instrumented regressions were estimated. DATA SOURCES: The administrative data included comorbidities, procedures, and outcomes for 19,978 adult CABG patients in Florida in 1998-2006, and public data on 57 cardiac surgeons who completed residencies after 1997. STUDY

designAnalysis was at the patient level. Controls for risk, hospital scale and scope, and operating surgeon characteristics were made. Patient choice model instruments were constructed. Experience was estimated allowing for "forgetting" effects. PRINCIPAL

findingsPanel regressions with surgeon fixed effects showed neither surgeon scale nor cumulative volumes significantly impacted mortality nor consistently impacted morbidity. Estimation of "forgetting" suggests that almost all prior experience is depreciated from one quarter to the next. Instruments were strong, but exogeneity of volume was not rejected.

conclusionsIn postresidency surgeons, no persuasive evidence is found for learning by doing, scale, or selection effects. More research is needed to support the cautious view that, for these "new" cardiac surgeons, patient volume could be redistributed based on realized outcomes without disruption.

Indexed as

Clinical CompetenceInternship and ResidencyPhysiciansAgedCoronary Artery BypassDatabases as TopicFemaleFloridaHumansMaleMiddle AgedModels, EconometricOutcome Assessment, Health CarePostoperative ComplicationsTeachingThoracic Surgery

Identifiers

PMID19732169
PMCPMC2796309

What OpenQuestion holds

Textmetadata
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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.