Evidence map›Paper›PMID 31321097›Full record

ArticleCritical care research and practice2019

An Analysis of Pay-for-Performance Schemes and Their Potential Impacts on Health Systems and Outcomes for Patients.

Kwadwo Kyeremanteng, Raphaëlle Robidoux, Gianni D'Egidio, Shannon M Fernando, David Neilipovitz

Abstract read
In one paragraph

Article in Critical care research and practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. Effectiveness of Nationwide COPD Pay-for-Performance Program on COPD Exacerbations in Taiwan.International journal of chronic obstructive pulmonary disease
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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

5 authors.

Kwadwo KyeremantengUniversity of Ottawa, 75 Laurier Est, Ottawa, Ontario, Canada K1N 6N5.ORCID https://orcid.org/0000-0002-6836-2185
Raphaëlle RobidouxUniversity of Ottawa, 75 Laurier Est, Ottawa, Ontario, Canada K1N 6N5.
Gianni D'EgidioUniversity of Ottawa, 75 Laurier Est, Ottawa, Ontario, Canada K1N 6N5.
Shannon M FernandoQueen's University, 99 University Avenue, Kingston, Canada K7L 3N6.ORCID https://orcid.org/0000-0003-4549-4289
David NeilipovitzUniversity of Ottawa, 75 Laurier Est, Ottawa, Ontario, Canada K1N 6N5.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pay-for-performance (P4P) programs have been introduced into the Canadian medical system in the last decades. This paper examines the underlying characteristics of P4P and describes both their advantages and drawbacks. Most P4P programs provide the advantage of rewarding medical acts, thus providing an incentive to take on complex patients. There is a variety of nuanced P4P initiatives, which provide financial incentive according to differing criteria, based on quality measures, incentives, and/or benchmark structures. However, there is no conclusive evidence demonstrating that P4P programs provide better value for money than traditional pay schemes, regardless of particular structural choices. Some evidence has even shown that P4P may be detrimental, especially in disadvantaged and high-risk populations. Additionally, there are a number of ethical and practical concerns that arise with the use of P4P, such as the risk of financial incentives being misused or misinterpreted and patients being refused or referred during treatment. P4P initiatives require careful examination and the creation of solid, evidence-based criteria for evaluation and implementation in Canadian medical systems.

Identifiers

PMID31321097
PMCPMC6607710

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.