Title |
Economics of open tibial fractures: the pivotal role of length-of-stay and infection
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Published in |
Health Economics Review, September 2017
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DOI | 10.1186/s13561-017-0168-0 |
Pubmed ID | |
Authors |
Harm Hoekstra, Bart Smeets, Willem-Jan Metsemakers, Anne-Cécile Spitz, Stefaan Nijs |
Abstract |
In order to define strategies to curb the continuing increase in healthcare costs, we describe the cost breakdown of open tibial fractures. Twenty-seven clinical and process variables were recorded retrospectively, and five main hospital related cost categories were defined. Three multivariate linear models were fitted to the data. Total healthcare costs of open tibial fractures were almost twice as high compared to closed fractures and mainly existed of hospitalization costs. Length-of-stay (LOS) was found to be the most important variable driving the healthcare costs of open tibial fractures. Deep infection lead to a 6-fold increase of LOS and 5-fold increase in total healthcare costs of open tibial fractures. Therefore, appropriate international consensus guidelines are required to improve not only the patient outcome (infection prevention) but also reduce overall healthcare cost by focusing on reducing the LOS. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Spain | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 72 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 11 | 15% |
Other | 10 | 14% |
Student > Bachelor | 8 | 11% |
Student > Postgraduate | 8 | 11% |
Researcher | 6 | 8% |
Other | 14 | 19% |
Unknown | 15 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 36 | 50% |
Biochemistry, Genetics and Molecular Biology | 4 | 6% |
Nursing and Health Professions | 2 | 3% |
Agricultural and Biological Sciences | 2 | 3% |
Engineering | 2 | 3% |
Other | 6 | 8% |
Unknown | 20 | 28% |