Association of preventable adverse drug events with inpatients' length of stay: a propensity-matched cohort study
PURPOSE: Using clinical administrative data (CAD) of inpatients, we aimed to identify ICD-10 codes coding for potentially preventable inhospital adverse drug events (ADE) that affect the length of hospital stay (LOS) and thus patient well-being and cost. METHODS: We retrospectively assessed CAD of a...
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| Hauptverfasser: | , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
05 September 2017
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| In: |
The international journal of clinical practice
Year: 2017, Jahrgang: 71, Heft: 10 |
| ISSN: | 1742-1241 |
| DOI: | 10.1111/ijcp.12990 |
| Online-Zugang: | Verlag, Volltext: http://dx.doi.org/10.1111/ijcp.12990
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| Verfasserangaben: | Stefanie Amelung, Andreas D. Meid, Michael Nafe, Markus Thalheimer, Torsten Hoppe-Tichy, Walter E. Haefeli, Hanna M. Seidling |
MARC
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| 245 | 1 | 0 | |a Association of preventable adverse drug events with inpatients' length of stay |b a propensity-matched cohort study |c Stefanie Amelung, Andreas D. Meid, Michael Nafe, Markus Thalheimer, Torsten Hoppe-Tichy, Walter E. Haefeli, Hanna M. Seidling |
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| 520 | |a PURPOSE: Using clinical administrative data (CAD) of inpatients, we aimed to identify ICD-10 codes coding for potentially preventable inhospital adverse drug events (ADE) that affect the length of hospital stay (LOS) and thus patient well-being and cost. METHODS: We retrospectively assessed CAD of all inpatient stays in 2012 of a German university hospital. Predefined ICD-10 codes indicating ADE (ADE codes) were further specified based on expert ratings of the ADE mechanism and ADE preventability in clinical routine to particularly identify preventable inhospital ADE. In a propensity-matched cohort design, we compared patients with one or more ADE codes to control patients with regard to differences in LOS for three situations: all cases with an ADE code, cases with an inhospital ADE code, and cases with a preventable inhospital ADE code. RESULTS: Out of 54 032 cases analysed, in 8.3% (N=4 462) at least one ADE code was present. Nine of 128 evaluated ADE codes were rated as preventable in clinical routine, relating to 220 inpatients (4.9% of all identified inpatients with at least one ADE code and 0.4% of the entire cohort, respectively). Out of 48 072 evaluable inpatients for propensity score matching, 7 938 controls without ADE code and 4 006 cases with ADE code were selected. In all three settings, cases showed prolonged LOS vs controls (delta 1.13 d; 0.88 d and 1.88 d, respectively), significantly exceeding the maximum LOS as defined for each Diagnosis-Related Group. CONCLUSION: Inpatients with ADE codes referring to inhospital, potentially preventable ADE exceeded the maximum hospital stay fully reimbursed by insurance companies, indicating unnecessary long and costly inpatient stays. | ||
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