ArticlePloS one2009
Self-reported and actual beta-blocker prescribing for heart failure patients: physician predictors.
Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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.
Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- Prescribing Data in General Practice Demonstration (PDGPD) project--a cluster randomised controlled trial of a quality improvement intervention to achieve better prescribing for chronic heart failure and hypertension.BMC health services research · 2012Trial
- Relationship between calcium channel blocker class and mortality in dialysis.Pharmacoepidemiology and drug safety · 2015Article
- The impact of a heart failure educational program for physicians varies based upon physician specialty.Journal of clinical medicine research · 2014Article
- Physician and patient predictors of evidence-based prescribing in heart failure: a multilevel study.PloS one · 2012Article
- [Effectiveness of an intervention strategy in the biosimilar glargine prescription pattern in primary care].Atencion primariaArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundBeta-blockers reduce mortality among patients with systolic heart failure (HF), yet primary care provider prescription rates remain low.
objectiveTo examine the association between primary care physician characteristics and both self-reported and actual prescription of beta-blockers among patients with systolic HF.
designCross-sectional survey with supplementary retrospective chart review.
participantsPrimary care providers at three New York City Veterans Affairs medical centers. MEASUREMENTS: MAIN OUTCOMES WERE: 1) self-reported prescribing of beta-blockers, and 2) actual prescribing of beta-blockers among HF patients. Physician HF practice patterns and confidence levels, as well as socio-demographic and clinical characteristics, were also assessed.
resultsSixty-nine of 101 physicians (68%) completed the survey examining self-reported prescribing of beta-blockers. Physicians who served as inpatient ward attendings self-reported significantly higher rates of beta-blocker prescribing among their HF patients when compared with physicians who did not attend (78% vs. 58%; p = 0.002), as did physicians who were very confident in managing HF patients when compared with physicians who were not (82% vs. 68%; p = 0.009). Fifty-one of these 69 surveyed physicians (74%) were successfully matched to 287 HF patients for whom beta-blocker prescribing data was available. Physicians with greater self-reported rates of prescribing beta-blockers were significantly more likely to actually prescribe beta-blockers (p = 0.02); however, no other physician characteristics were significantly associated with actual prescribing of beta-blockers among HF patients.
conclusionsPhysician teaching responsibilities and confidence levels were associated with self-reported beta-blocker prescribing among their HF patients. Educational efforts focused on improving confidence levels in HF care and increasing exposure to teaching may improve beta-blocker presciption in HF patients managed in primary care.
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What OpenQuestion holds
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.