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Complementary effect of patient volume and quality of care on hospital cost efficiency

Overview of attention for article published in Health Care Management Science, December 2015
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Title
Complementary effect of patient volume and quality of care on hospital cost efficiency
Published in
Health Care Management Science, December 2015
DOI 10.1007/s10729-015-9348-9
Pubmed ID
Authors

Jeong Hoon Choi, Imsu Park, Ilyoung Jung, Asoke Dey

Abstract

This study explores the direct effect of an increase in patient volume in a hospital and the complementary effect of quality of care on the cost efficiency of U.S. hospitals in terms of patient volume. The simultaneous equation model with three-stage least squares is used to measure the direct effect of patient volume and the complementary effect of quality of care and volume. Cost efficiency is measured with a data envelopment analysis method. Patient volume has a U-shaped relationship with hospital cost efficiency and an inverted U-shaped relationship with quality of care. Quality of care functions as a moderator for the relationship between patient volume and efficiency. This paper addresses the economically important question of the relationship of volume with quality of care and hospital cost efficiency. The three-stage least square simultaneous equation model captures the simultaneous effects of patient volume on hospital quality of care and cost efficiency.

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The data shown below were collected from the profile of 1 X user 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 19%
Student > Doctoral Student 4 11%
Researcher 3 8%
Student > Master 3 8%
Student > Bachelor 2 5%
Other 5 14%
Unknown 13 35%
Readers by discipline Count As %
Business, Management and Accounting 6 16%
Engineering 4 11%
Economics, Econometrics and Finance 3 8%
Medicine and Dentistry 3 8%
Social Sciences 2 5%
Other 4 11%
Unknown 15 41%
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 04 December 2015.
All research outputs
#18,431,664
of 22,834,308 outputs
Outputs from Health Care Management Science
#206
of 285 outputs
Outputs of similar age
#279,739
of 387,469 outputs
Outputs of similar age from Health Care Management Science
#1
of 6 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 285 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 5th percentile – i.e., 5% 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 387,469 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them