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Verfasst von:Amelung, Stefanie [VerfasserIn]   i
 Czock, David [VerfasserIn]   i
 Thalheimer, Markus [VerfasserIn]   i
 Hoppe-Tichy, Torsten [VerfasserIn]   i
 Haefeli, Walter E. [VerfasserIn]   i
 Seidling, Hanna [VerfasserIn]   i
Titel:Shortcomings of administrative data to derive preventive strategies for inhospital drug-induced acute kidney failure
Titelzusatz:insights from patient record analysis
Verf.angabe:Stefanie Amelung, David Czock, Markus Thalheimer, Torsten Hoppe-Tichy, Walter E. Haefeli and Hanna M. Seidling
E-Jahr:2022
Jahr:23 July 2022
Umfang:10 S.
Fussnoten:Gesehen am 06.10.2022
Titel Quelle:Enthalten in: Journal of Clinical Medicine
Ort Quelle:Basel : MDPI, 2012
Jahr Quelle:2022
Band/Heft Quelle:11(2022), 15, Artikel-ID 4285, Seite 1-10
ISSN Quelle:2077-0383
Abstract:Structured analyses of hospital administrative data may detect potentially preventable adverse drug events (ADE) and therefore are considered promising sources to prevent future harm and estimate cost savings. Whether results of these analyses indeed correspond to ADE that may be preventable in clinical routines needs to be verified. We exemplarily screened all adult inpatients admitted to a German University Hospital (n = 54,032) for International Classification of Diseases-10th revision (ICD-10) diagnoses coding for drug-induced kidney injury (AKI). In a retrospective chart review, we checked the coded adverse events (AE) for inhospital occurrence, causality to drug exposure, and preventability in all identified cases and calculated positive predictive values (ppv). We identified 69 inpatient cases of whom 41 cases (59.4%) experienced the AE in the hospital (ppv-range 0.43–0.80). Causality assessment revealed a rather likely causal relationship between AE and drug exposure in 11 cases (15.9, 11/69, ppv-range 0.17–0.22) whereby preventability measures could be postulated for seven cases (10.1%, 7/69). Focusing on drug-induced AKI, this study exemplarily underlines that ICD-10-code-based ADE prevention efforts are quite limited due to the small identification rate and its high proportion of primarily outpatient events. Furthermore, causality assessment revealed that cases are often too complex to benefit from generic prevention strategies. Thus, ICD-10-code-based calculations might overestimate patient harm and economic losses.
DOI:doi:10.3390/jcm11154285
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

kostenfrei: Volltext ; Verlag: https://doi.org/10.3390/jcm11154285
 kostenfrei: Volltext: https://www.mdpi.com/2077-0383/11/15/4285
 DOI: https://doi.org/10.3390/jcm11154285
Datenträger:Online-Ressource
Sprache:eng
K10plus-PPN:1818161133
Verknüpfungen:→ Zeitschrift

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