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How Financial and Reputational Incentives Can Be Used to Improve Medical Care

Overview of attention for article published in Health Services Research, November 2015
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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7 X users

Citations

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45 Dimensions

Readers on

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180 Mendeley
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Title
How Financial and Reputational Incentives Can Be Used to Improve Medical Care
Published in
Health Services Research, November 2015
DOI 10.1111/1475-6773.12419
Pubmed ID
Authors

Martin Roland, R. Adams Dudley

Abstract

Narrative review of the impact of pay-for-performance (P4P) and public reporting (PR) on health care outcomes, including spillover effects and impact on disparities. The impact of P4P and PR is dependent on the underlying payment system (fee-for-service, salary, capitation) into which these schemes are introduced. Both have the potential to improve care, but they can also have substantial unintended consequences. Evidence from the behavioral economics literature suggests that individual physicians will vary in how they respond to incentives. We also discuss issues to be considered when including patient-reported outcome measures (PROMs) or patient-reported experience measures into P4P and PR schemes. We provide guidance to payers and policy makers on the design of P4P and PR programs so as to maximize their benefits and minimize their unintended consequences. These include involving clinicians in the design of the program, taking into account the payment system into which new incentives are introduced, designing the structure of reward programs to maximize the likelihood of intended outcomes and minimize the likelihood of unintended consequences, designing schemes that minimize the risk of increasing disparities, providing stability of incentives over some years, and including outcomes that are relevant to patients' priorities. In addition, because of the limitations of PR and P4P as effective interventions in their own right, it is important that they are combined with other policies and interventions intended to improve quality to maximize their likely impact.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Spain 1 <1%
Netherlands 1 <1%
Canada 1 <1%
Unknown 175 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 18%
Student > Ph. D. Student 27 15%
Researcher 25 14%
Student > Doctoral Student 16 9%
Other 12 7%
Other 31 17%
Unknown 36 20%
Readers by discipline Count As %
Medicine and Dentistry 31 17%
Social Sciences 29 16%
Nursing and Health Professions 19 11%
Economics, Econometrics and Finance 17 9%
Business, Management and Accounting 13 7%
Other 30 17%
Unknown 41 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 January 2016.
All research outputs
#6,538,683
of 23,310,485 outputs
Outputs from Health Services Research
#1,375
of 2,357 outputs
Outputs of similar age
#100,765
of 388,943 outputs
Outputs of similar age from Health Services Research
#19
of 34 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,357 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 388,943 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.