Evidence map›Paper›PMID 40894849›Full record

ArticleCJC open2025

The Effect of an Incentive Billing Code on Heart Failure Management in Primary Care: A Population-Based Study.

Shijie Zhou, Douglas S Lee, Francis Nguyen, Harsukh Benipal, Richard Perez, Peter C Austin, Husam Abdel-Qadir, Jacob A Udell, Catherine Demers

Abstract read
In one paragraph

Article in CJC open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Shijie ZhouDivision of Cardiology, University of Toronto, Toronto, Ontario, Canada.
Douglas S LeeDivision of Cardiology, University of Toronto, Toronto, Ontario, Canada.
Francis NguyenInstitute for Clinical Evaluative Sciences McMaster, Hamilton, Ontario, Canada.
Harsukh BenipalUniversity of Toronto, Toronto, Ontario, Canada.
Richard PerezInstitute for Clinical Evaluative Sciences McMaster, Hamilton, Ontario, Canada.
Peter C AustinInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
Husam Abdel-QadirDivision of Cardiology, University of Toronto, Toronto, Ontario, Canada.
Jacob A UdellDivision of Cardiology, University of Toronto, Toronto, Ontario, Canada.
Catherine DemersMcMaster University, Hamilton, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To support family physicians (FPs) in managing patients with heart failure (HF), the Ministry of Health in Ontario, Canada implemented the Q050A billing code in 2008, a pay-for-performance incentive for guideline-based HF care. We studied whether the incentive was associated with any change in the prescription of HF medications. Methods: We identified all patients with HF in Ontario aged ≥ 66 years who were managed by FPs claiming the Q050A incentive between 2008 and 2021. We determined the proportion of patients who were prescribed renin-angiotensin system inhibitors (RASis), beta-blockers (BBs), mineralocorticoid receptor antagonists (MRAs), and diuretics 3 months before and after the Q050A billing code was used in claims for these patients. As applicable, we classified the agents by whether they are guideline-directed as recommended by the Canadian Cardiovascular Society. Results: We included 39,425 HF patients in the study. The median age was 80 years (interquartile range, 73-85); 49% were female. Compared to the pre-Q050A period, prescriptions increased after the incentive was implemented, from 45.2% to 45.8% for RASis, 51.9% to 54.4% for BBs, 9.2% to 11.7% for MRAs, and 63.2% to 65.7% for diuretics ( Conclusions: The Q050A incentive led to a minimal increase in the prescription of HF medications; disease-modifying agents are underutilized.

Identifiers

PMID40894849
PMCPMC12399146

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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.