Characteristics of hospital differences in missing of clinical laboratory test results in a multi-hospital observational database contributing to MID-NET® in Japan

BMC Medical Informatics and Decision Making

Masatomo Omiya¹  Tosiya Sato¹  Masaaki Doi¹  Maki Komamine²  Yoshiaki Fujimura³  Yasuharu Nitta⁴ 

[1] Department of Biostatistics, Kyoto University School of Public Health, Yoshida-konoecho, Sakyo-ku, 606-8501, Kyoto, Japan;Department of Biostatistics, Kyoto University School of Public Health, Yoshida-konoecho, Sakyo-ku, 606-8501, Kyoto, Japan;Office of Medical Informatics and Epidemiology, Pharmaceuticals and Medical Devices Agency, Tokyo, Japan;Head Office, Tokushukai Information System Incorporated, Osaka, Japan;Kishiwada Tokushukai Hospital, Osaka, Japan;

关键词: Drug safety;    Clinical laboratory test;    Database;    Missing data;    Observational study;    Pharmacoepidemiology;   

DOI  :  10.1186/s12911-021-01543-5

来源: Springer

【 摘 要 】

BackgroundIn Japan, a multiple-hospital observational database system, the Medical Information Database Network (MID-NET®), was launched for post-marketing drug safety assessments. These assessments will be based on datasets with missing laboratory results. The characteristics of missing data considering hospital differences have not been evaluated. We assessed the missing proportion and the association between missingness and a factor through case studies using a database system, a part of MID-NET®.MethodsSeven scenarios using laboratory results before the prescription of the assessed drug as baseline covariates and data from 10 hospitals of Tokushukai Medical Group were used. The missing proportion and the association between missingness and patient background were investigated per hospital. The associations were assessed using the log of adjusted odds ratio (log-aOR). Additionally, an ad hoc survey was conducted to explore other factors affecting the missingness.ResultsFor some laboratory tests, missing proportions varied among hospitals, such as 7.4–44.4% of alkaline phosphatase (ALP) and 8.1–31.2% of triglyceride (TG) among statin users. The association between missingness and affecting factors also differed among hospitals for some factors; example, the log-aOR of hospitalization associated with missingness of TG was − 0.41 (95% CI, − 1.06 to 0.24) in hospital 3 and 1.84 (95% CI, 1.34 to 2.34) in hospital 4. In the ad hoc survey focusing on ALP, hospital-dependent differences in the ordering system settings were observed.ConclusionsHospital differences in missing data appeared in some laboratory tests in our multi-hospital observational database, which could be attributed to the affecting factors, including the patient background.

【 授权许可】

CC BY