Evidence map›Paper›PMID 21139090›Full record

ArticleCirculation. Cardiovascular quality and outcomes2011

Physician and patient influences on provider performance: β-blockers in postmyocardial infarction management in the MI-Plus study.

Ellen Funkhouser, Thomas K Houston, Deborah A Levine, Joshua Richman, Jeroan J Allison, Catarina I Kiefe

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Circulation. Cardiovascular quality and outcomes, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00126750 (MI-Plus), which is not on this map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 24% of its field
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.

NCT00126750 nacompletednot on this map

MI-Plus: Web-enhanced Guideline Implementation for Post MI CBOC Patients

TypeinterventionalSponsorUS Department of Veterans AffairsRan2003 to 2010Enrolled847ConditionsMyocardial Infarction, ComorbidityArmsVA MI Plus Interactive
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Rural-Urban Differences in Chronic Disease and Drug Utilization in Older Oregonians.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2016
    Article
  7. Physician experience and outcomes among patients admitted to general internal medicine teaching wards.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2015
    Article
  8. 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 at 2 institutions in 1 country.

Ellen FunkhouserDivision of Preventive Medicine, School of Medicine, University of Alabama-Birmingham, 1717 11th Ave S., Birmingham, AL 35205, USA. emfunk@uab.edu
Thomas K Houston
Deborah A Levine
Joshua Richman
Jeroan J Allison
Catarina I Kiefe
Birmingham VA Medical Center · USUniversity of Alabama at Birmingham · US

Funding

UNIVERSITY OF MASSACHUSETTS CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCEUL1RR031982 · NCRR · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SULLIVAN, JOHN LEWIS · 2010 to 2011
$6.8M
MI-Plus: Web-Enhanced Post-MI + Cormorbidity GuidelinesR01HL070786 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI WILLIAMS, O DALE · 2002 to 2006
$3.2M
NCRR NIH HHS UL1 RR031982NHLBI NIH HHS R01 HL070786NHLBI NIH HHS R01 HL70786
6 · The paper itself

Abstract

backgroundEfforts to improve the quality of care for patients with cardiovascular disease frequently target the decrease of physician-level performance variability. We assessed how variability in providing β-blockers to ambulatory postmyocardial infarction (MI) patients was influenced by physician and patient level characteristics. METHODS AND

resultsβ-Blocker prescription and patient characteristics were abstracted from charts of post-MI patients treated by 133 primary care physicians between 2003 and 2007 and linked to physician and practice characteristics. Associations of β-blocker prescription with physician- and patient-level characteristics were examined using mixed-effects models, with physician-level effects as random. Mean physician-specific predicted probabilities and the intraclass correlations, which assessed the proportion of variance explainable at the physician level, were estimated. Of 1901 patients without major contraindication, 69.1% (range across physicians, 20% to 100%) were prescribed β-blockers. Prescription varied with comorbidity from 78.3% in patients with chronic kidney disease to 54.7% for patients with stroke. Although physician characteristics such as older physician age, group practice, and rural location were each positively associated with β-blocker prescription, physician factors accounted for only 5% to 8% of the variance in β-blocker prescription; the preponderance of the variance, 92% to 95%, was at the patient level. The mean physician-specific probability of β-blocker prescription (95% confidence interval) in the fully adjusted model was 63% (61% to 65%).

conclusionsβ-Blocker prescription rates were surprisingly low. The contribution of physician factors to overall variability in β-blocker prescription, however, was limited. Increasing evidence-based use of β-blockers may not be accomplished by focusing mostly on differential performance across physicians.

Indexed as

Practice Patterns, Physicians'Quality of Health CareAdrenergic beta-AntagonistsAdultAgedCross-Sectional StudiesEvidence-Based PracticeFemaleHealth PersonnelHumansMaleMiddle AgedMultivariate AnalysisMyocardial InfarctionRandomized Controlled Trials as TopicAdrenergic beta-Antagonists

Identifiers

PMID21139090
PMCPMC3099457
OpenAlexW2134490073

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.