Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/108594
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Type: | Journal article |
Title: | Should diagnosis codes from emergency department data be used for case selection for emergency department key performance indicators? |
Author: | Howell, S. Wills, R. Johnston, T. |
Citation: | Australian Health Review, 2014; 38(1):38-43 |
Publisher: | CSIRO Publishing |
Issue Date: | 2014 |
ISSN: | 0156-5788 1449-8944 |
Statement of Responsibility: | Stuart C. Howell, Rachael A. Wills, Trisha C. Johnston |
Abstract: | Objective. The aim of the present study was to assess the suitability of emergency department (ED) discharge diagnosis for identifying patient cohorts included in the definitions of key performance indicators (KPIs) that are used to evaluate ED performance. Methods. Hospital inpatient episodes of care with a principal diagnosis that corresponded to an ED-defined KPI were extracted from the Queensland Hospital Admitted Patient Data Collection (QHAPDC) for the year 2010–2011. The data were then linked to the corresponding ED patient record and the diagnoses applied in the two settings were compared. Results. The asthma and injury cohorts produced favourable results with respect to matching the QHAPDC principal diagnosis with the ED discharge diagnosis. The results were generally modest when the QHAPDC principal diagnosis was upper respiratory tract infection, poisoning and toxic effects or a mental health diagnosis, and were quite poor for influenza. Conclusions. There is substantial variation in the capture of patient cohorts using discharge diagnosis as recorded on Queensland Hospital Emergency Department data. |
Keywords: | Diagnosis codes; emergency departments |
Rights: | Journal compilation © AHHA 2014 |
DOI: | 10.1071/AH13026 |
Published version: | http://dx.doi.org/10.1071/ah13026 |
Appears in Collections: | Aurora harvest 3 Public Health publications |
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RA_hdl_108594.pdf Restricted Access | Restricted Access | 116.83 kB | Adobe PDF | View/Open |
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