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

BACKGROUND: In 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 cons...

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Autores principales: Komamine, Maki, Fujimura, Yoshiaki, Nitta, Yasuharu, Omiya, Masatomo, Doi, Masaaki, Sato, Tosiya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8180009/
https://www.ncbi.nlm.nih.gov/pubmed/34090442
http://dx.doi.org/10.1186/s12911-021-01543-5
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author Komamine, Maki
Fujimura, Yoshiaki
Nitta, Yasuharu
Omiya, Masatomo
Doi, Masaaki
Sato, Tosiya
author_facet Komamine, Maki
Fujimura, Yoshiaki
Nitta, Yasuharu
Omiya, Masatomo
Doi, Masaaki
Sato, Tosiya
author_sort Komamine, Maki
collection PubMed
description BACKGROUND: In 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®. METHODS: Seven 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. RESULTS: For 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. CONCLUSIONS: Hospital 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-021-01543-5.
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spelling pubmed-81800092021-06-07 Characteristics of hospital differences in missing of clinical laboratory test results in a multi-hospital observational database contributing to MID-NET® in Japan Komamine, Maki Fujimura, Yoshiaki Nitta, Yasuharu Omiya, Masatomo Doi, Masaaki Sato, Tosiya BMC Med Inform Decis Mak Research Article BACKGROUND: In 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®. METHODS: Seven 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. RESULTS: For 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. CONCLUSIONS: Hospital 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-021-01543-5. BioMed Central 2021-06-06 /pmc/articles/PMC8180009/ /pubmed/34090442 http://dx.doi.org/10.1186/s12911-021-01543-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Komamine, Maki
Fujimura, Yoshiaki
Nitta, Yasuharu
Omiya, Masatomo
Doi, Masaaki
Sato, Tosiya
Characteristics of hospital differences in missing of clinical laboratory test results in a multi-hospital observational database contributing to MID-NET® in Japan
title Characteristics of hospital differences in missing of clinical laboratory test results in a multi-hospital observational database contributing to MID-NET® in Japan
title_full Characteristics of hospital differences in missing of clinical laboratory test results in a multi-hospital observational database contributing to MID-NET® in Japan
title_fullStr Characteristics of hospital differences in missing of clinical laboratory test results in a multi-hospital observational database contributing to MID-NET® in Japan
title_full_unstemmed Characteristics of hospital differences in missing of clinical laboratory test results in a multi-hospital observational database contributing to MID-NET® in Japan
title_short Characteristics of hospital differences in missing of clinical laboratory test results in a multi-hospital observational database contributing to MID-NET® in Japan
title_sort characteristics of hospital differences in missing of clinical laboratory test results in a multi-hospital observational database contributing to mid-net® in japan
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8180009/
https://www.ncbi.nlm.nih.gov/pubmed/34090442
http://dx.doi.org/10.1186/s12911-021-01543-5
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