ICD-10 codes used to identify adverse drug events in administrative data: a systematic review

被引:98
|
作者
Hohl, Corinne M. [1 ,2 ,3 ]
Karpov, Andrei [1 ]
Reddekopp, Lisa [1 ]
Stausberg, Juergen [4 ]
机构
[1] Univ British Columbia, Dept Emergency Med, Vancouver, BC V5Z 1M9, Canada
[2] Vancouver Gen Hosp, Dept Emergency Med, Vancouver, BC V5Z 1M9, Canada
[3] Vancouver Coastal Hlth Res Inst, Ctr Clin Epidemiol & Evaluat, Vancouver, BC, Canada
[4] Univ Munich, Inst Med Informat Verarbeitung Biometrie & Epidem, Munich, Germany
基金
加拿大健康研究院;
关键词
LENGTH-OF-STAY; HOSPITALIZED-PATIENTS; MEDICATION ERRORS; OLDER AUSTRALIANS; UNITED-STATES; IDENTIFICATION; ADMISSIONS; EPIDEMIOLOGY; SURVEILLANCE; DEATH;
D O I
10.1136/amiajnl-2013-002116
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Background Adverse drug events, the unintended and harmful effects of medications, are important outcome measures in health services research. Yet no universally accepted set of International Classification of Diseases (ICD) revision 10 codes or coding algorithms exists to ensure their consistent identification in administrative data. Our objective was to synthesize a comprehensive set of ICD-10 codes used to identify adverse drug events. Methods We developed a systematic search strategy and applied it to five electronic reference databases. We searched relevant medical journals, conference proceedings, electronic grey literature and bibliographies of relevant studies, and contacted content experts for unpublished studies. One author reviewed the titles and abstracts for inclusion and exclusion criteria. Two authors reviewed eligible full-text articles and abstracted data in duplicate. Data were synthesized in a qualitative manner. Results Of 4241 titles identified, 41 were included. We found a total of 827 ICD-10 codes that have been used in the medical literature to identify adverse drug events. The median number of codes used to search for adverse drug events was 190 (IQR 156-289) with a large degree of variability between studies in the numbers and types of codes used. Authors commonly used external injury (Y40.0-59.9) and disease manifestation codes. Only two papers reported on the sensitivity of their code set. Conclusions Substantial variability exists in the methods used to identify adverse drug events in administrative data. Our work may serve as a point of reference for future research and consensus building in this area.
引用
收藏
页码:547 / 557
页数:11
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