Adults with acute poisoning admitted to a university hospital in Belgium in 2017: cost analysis benchmarked with national data ...
Objective: Aims were to (1) analyse the direct cost charged by a university hospital to the government and the patient in case of an admission for acute poisoning, (2) identify the factors associated with the cost, and (3) compare the cost in the hospital studied with national data from the government. Methods: Patient records and invoices of all poisoning-related episodes of patients 14 years or older admitted to the Emergency Department (ED) of Ghent University Hospital (GUH) in 2017 were analysed. A generalised linear model with gamma loglink was applied to assess the variables associated w... Mehr ...
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Dokumenttyp: | dataset |
Erscheinungsdatum: | 2020 |
Verlag/Hrsg.: |
Taylor & Francis
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Schlagwörter: | Medicine / Marine Biology / Science Policy |
Sprache: | unknown |
Permalink: | https://search.fid-benelux.de/Record/base-28969904 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://dx.doi.org/10.6084/m9.figshare.12053946 |
Objective: Aims were to (1) analyse the direct cost charged by a university hospital to the government and the patient in case of an admission for acute poisoning, (2) identify the factors associated with the cost, and (3) compare the cost in the hospital studied with national data from the government. Methods: Patient records and invoices of all poisoning-related episodes of patients 14 years or older admitted to the Emergency Department (ED) of Ghent University Hospital (GUH) in 2017 were analysed. A generalised linear model with gamma loglink was applied to assess the variables associated with the cost. Our GUH data collected in 2017 were compared with national data 2016 for all Belgian hospitals on the one hand, and for the subgroup of GUH 2016 data on the other hand. To do this, we used data provided by the Technical Unit of the Federal Public Service Health, containing All Patient Refined Diagnosis Related Groups 812 (poisoning by medicinal agents) and 816 (toxic effects by non-medicinal substances). ...