11
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Existing Data Sources for Clinical Epidemiology: Database of the National Hospital Organization in Japan

      review-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          This review introduces the National Hospital Organization (NHO) database in Japan. The NHO has maintained two databases through a system of data collection from 140 hospitals in the NHO. National Hospital Organization Clinical Data Archives (NCDA) is collecting clinical information in real time from the electronic medical records since January 2016, and Medical Information Analysis (MIA) databank is collecting daily insurance claims data since April 2010. The NHO database covers more than 8 million patients in 140 hospitals throughout Japan. The database consists of the information of patient profiles, hospital admission and discharge, diagnosis with ICD-10 codes, text data from medical chart, daily health insurance claims such as medical procedures, medications or surgeries, vital signs and laboratory data, and so on. The NHO database includes a wide variety of diseases and settings, including acute, chronic and intractable diseases, emergency medical services, disaster medicine, response to emerging infectious disease outbreaks, medical care according to health policies such as psychiatry, tuberculosis, or muscular dystrophy, and health systems in sparsely populated non-urban areas. Among several common diseases, the database has representativeness in terms of age distribution compared with the Patient Survey 2017 by the Ministry of Health, Labour and Welfare. Interested researchers can contact (700-dbproject@mail.hosp.go.jp) the NHO database division to obtain more information about the NHO database for utilization.

          Related collections

          Most cited references37

          • Record: found
          • Abstract: not found
          • Article: not found

          A cross-population atlas of genetic associations for 220 human phenotypes

            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Validity of diagnoses, procedures, and laboratory data in Japanese administrative data

            Background Validation of recorded data is a prerequisite for studies that utilize administrative databases. The present study evaluated the validity of diagnoses and procedure records in the Japanese Diagnosis Procedure Combination (DPC) data, along with laboratory test results in the newly-introduced Standardized Structured Medical Record Information Exchange (SS-MIX) data. Methods Between November 2015 and February 2016, we conducted chart reviews of 315 patients hospitalized between April 2014 and March 2015 in four middle-sized acute-care hospitals in Shizuoka, Kochi, Fukuoka, and Saga Prefectures and used them as reference standards. The sensitivity and specificity of DPC data in identifying 16 diseases and 10 common procedures were identified. The accuracy of SS-MIX data for 13 laboratory test results was also examined. Results The specificity of diagnoses in the DPC data exceeded 96%, while the sensitivity was below 50% for seven diseases and variable across diseases. When limited to primary diagnoses, the sensitivity and specificity were 78.9% and 93.2%, respectively. The sensitivity of procedure records exceeded 90% for six procedures, and the specificity exceeded 90% for nine procedures. Agreement between the SS-MIX data and the chart reviews was above 95% for all 13 items. Conclusion The validity of diagnoses and procedure records in the DPC data and laboratory results in the SS-MIX data was high in general, supporting their use in future studies.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              A review of uses of health care utilization databases for epidemiologic research on therapeutics.

              Large health care utilization databases are frequently used in variety of settings to study the use and outcomes of therapeutics. Their size allows the study of infrequent events, their representativeness of routine clinical care makes it possible to study real-world effectiveness and utilization patterns, and their availability at relatively low cost without long delays makes them accessible to many researchers. However, concerns about database studies include data validity, lack of detailed clinical information, and a limited ability to control confounding. We consider the strengths, limitations, and appropriate applications of health care utilization databases in epidemiology and health services research, with particular reference to the study of medications. Progress has been made on many methodologic issues related to the use of health care utilization databases in recent years, but important areas persist and merit scrutiny.
                Bookmark

                Author and article information

                Journal
                Clin Epidemiol
                Clin Epidemiol
                clep
                Clinical Epidemiology
                Dove
                1179-1349
                19 May 2022
                2022
                : 14
                : 689-698
                Affiliations
                [1 ]Department of Clinical Data Management and Research, Clinical Research Center, National Hospital Organization Headquarters , Tokyo, Japan
                [2 ]Department of Health Policy and Informatics, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University , Tokyo, Japan
                [3 ]Department of Drug Safety and Risk Management, School of Pharmacy, Tokyo University of Pharmacy and Life Sciences , Tokyo, Japan
                Author notes
                Correspondence: Norihiko Inoue, Department of Clinical Data Management and Research, Clinical Research Center, National Hospital Organization Headquarters , 2-5-21 Higashigaoka, Meguroku, Tokyo, 152-8621, Japan, Tel +81-3-5712-5133, Fax +81-3-5712-5088, Email noricom.tmdu@gmail.com
                [*]

                These authors contributed equally to this work

                Author information
                http://orcid.org/0000-0003-1784-5133
                http://orcid.org/0000-0001-9187-371X
                Article
                359072
                10.2147/CLEP.S359072
                9126156
                35615723
                5cecbe1b-af27-49ec-bc03-b936ff1aecd1
                © 2022 Kanazawa et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 24 January 2022
                : 02 May 2022
                Page count
                Figures: 2, Tables: 5, References: 39, Pages: 10
                Funding
                Funded by: is not funded by a specific project grant;
                This review is not funded by a specific project grant.
                Categories
                Review

                Public health
                national hospital organization in japan,real-world data,big data,diagnosis procedure combination,dpc,validation,database,linkage

                Comments

                Comment on this article