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Efficiency of Ontario primary care physicians across payment models: a stochastic frontier analysis

Overview of attention for article published in Health Economics Review, June 2016
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Title
Efficiency of Ontario primary care physicians across payment models: a stochastic frontier analysis
Published in
Health Economics Review, June 2016
DOI 10.1186/s13561-016-0101-y
Pubmed ID
Authors

Maude Laberge, Walter P. Wodchis, Jan Barnsley, Audrey Laporte

Abstract

The study examines the relationship between the primary care model that a physician belongs to and the efficiency of the primary care physician in Ontario, Canada. Survey data were collected from 183 self-selected physicians and linked to administrative databases to capture the provision of services to the patients served for the 12 month period ending June 30, 2013, and the characteristics of the patients at the beginning of the study period. Two stochastic frontier regression models were used to estimate efficiency scores and parameters for two separate outputs: the number of distinct patients seen and the number of visits. Because of missing data, only 165 physicians were included in the analyses. The average efficiency was 0.72 for both outputs with scores varying from 4 % to 93 % for the visits and 5 % to 94 % for the number of patients seen. We observed that there were both very low and very high efficiency scores within each model. These variations were larger than variations in average scores across models.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 15%
Researcher 7 13%
Other 5 10%
Professor 3 6%
Student > Bachelor 2 4%
Other 10 19%
Unknown 17 33%
Readers by discipline Count As %
Medicine and Dentistry 12 23%
Nursing and Health Professions 7 13%
Business, Management and Accounting 3 6%
Economics, Econometrics and Finance 3 6%
Social Sciences 3 6%
Other 4 8%
Unknown 20 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 June 2016.
All research outputs
#17,807,987
of 22,876,619 outputs
Outputs from Health Economics Review
#302
of 430 outputs
Outputs of similar age
#241,705
of 340,764 outputs
Outputs of similar age from Health Economics Review
#10
of 15 outputs
Altmetric has tracked 22,876,619 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
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