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The exploration of medical resources utilization among inguinal hernia repair in Taiwan diagnosis-related groups

Overview of attention for article published in BMC Health Services Research, November 2017
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Title
The exploration of medical resources utilization among inguinal hernia repair in Taiwan diagnosis-related groups
Published in
BMC Health Services Research, November 2017
DOI 10.1186/s12913-017-2665-6
Pubmed ID
Authors

Yu-Hua Yan, Chih-Ming Kung, Yi Chen

Abstract

This study centered on differences in medical costs, using the Taiwan diagnosis-related groups (Tw-DRGs) on medical resource utilization in inguinal hernia repair (IHR) in hospitals with different ownership to provide suitable reference information for hospital administrators. The 2010-2011 data for three hospitals under different ownership were extracted from the Taiwan National Health Insurance claims database. A retrospective method was applied to analyze the age, sex, length of stay, diagnosis and surgical procedure code, and the change in financial risk of medical costs in IHR cases after introduction of Tw-DRGs. The study calculated the cost using Tw-DRG payment principles, and compared it with estimated inpatient medical costs calculated using the fee-for-service policy. There were 723 IHR cases satisfying the Tw-DRGs criteria. Cost control in the medical care corporation hospital (US$764.2/case) was more efficient than that in the public hospital (US$902.7/case) or nonprofit proprietary hospital (US$817.1/case) surveyed in this study. For IHR, anesthesiologists in the public hospital preferred to use general anesthesia (86%), while those in the two other hospitals tended to administer spinal anesthesia. We also discovered the difference in anesthesia cost was high, at US$80.2/case on average. Because the Tw-DRG-based reimbursement system produces varying hospital costs, hospital administrators should establish a financial risk assessment system as early as possible to improve healthcare quality and financial management efficiency. This would then benefit the hospital, patient, and Bureau of National Health Insurance.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 20%
Student > Master 2 20%
Student > Ph. D. Student 2 20%
Student > Postgraduate 2 20%
Librarian 1 10%
Other 1 10%
Readers by discipline Count As %
Medicine and Dentistry 4 40%
Unspecified 3 30%
Decision Sciences 1 10%
Nursing and Health Professions 1 10%
Engineering 1 10%
Other 0 0%

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 11 November 2017.
All research outputs
#10,751,601
of 12,124,842 outputs
Outputs from BMC Health Services Research
#3,657
of 3,947 outputs
Outputs of similar age
#236,342
of 281,866 outputs
Outputs of similar age from BMC Health Services Research
#161
of 193 outputs
Altmetric has tracked 12,124,842 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,947 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 1st percentile – i.e., 1% 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 281,866 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 193 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.