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

References

• Kimura M, Nakayasu K, Ohshima Y, et al. SS-MIX: a ministry project to promote standardized healthcare information exchange. Methods Inf Med. 2011;50(2):131–139. doi:10.3414/ME10-01-0015
   Web of Science ®Google Scholar
• Fushimi K, Hashimoto H, Imanaka Y, et al. Functional mapping of hospitals by diagnosis-dominant case-mix analysis. BMC Health Serv Res. 2007;7(1):1–8. doi:10.1186/1472-6963-7-50
   Web of Science ®Google Scholar
• Hamada H, Sekimoto M, Imanaka Y. Effects of the per diem prospective payment system with DRG-like grouping system (DPC/PDPS) on resource usage and healthcare quality in Japan. Health Policy. 2012;107(2–3):194–201. doi:10.1016/j.healthpol.2012.01.002
   PubMed Web of Science ®Google Scholar
• Hayashida K, Murakami G, Matsuda S, Fushimi K. History and profile of diagnosis procedure combination (DPC): development of a real data collection system for acute inpatient care in Japan. J Epidemiol. 2021;31(1):1–11. doi:10.2188/jea.JE20200288
   PubMed Web of Science ®Google Scholar
• Okamura S, Kobayashi R, Sakamaki T. Case-mix payment in Japanese medical care. Health Policy. 2005;74(3):282–286. doi:10.1016/j.healthpol.2005.01.009
   Web of Science ®Google Scholar
• Yasunaga H, Matsui H, Horiguchi H, Fushimi K, Matsuda S. Application of the diagnosis procedure combination (DPC) data to clinical studies. J UOEH. 2014;36(3):191–197. doi:10.7888/juoeh.36.191
   PubMedGoogle Scholar
• Yasunaga H, Ide H, Imamura T, Ohe K. Impact of the Japanese diagnosis procedure combination-based payment system on cardiovascular medicine-related costs. Int Heart J. 2005;46(5):855–866. doi:10.1536/ihj.46.855
   Web of Science ®Google Scholar
• Inoue N, Fushimi K. Adjunctive Corticosteroids decreased the risk of mortality of non-HIV pneumocystis pneumonia. Int J Infect Dis. 2019;79:109–115. doi:10.1016/j.ijid.2018.12.001
   PubMed Web of Science ®Google Scholar
• Yamana H, Tsuchiya A, Horiguchi H, et al. Epidemiological study of adult-onset Still’s disease using a Japanese administrative database. Rheumatol Int. 2022;31(4):452–460. doi:10.1007/s00296-016-3546-8
   Web of Science ®Google Scholar
• Tagami T, Matsui H, Fushimi K, Yasunaga H. Intravenous immunoglobulin and mortality in pneumonia patients with septic shock: an observational nationwide study. Clin Infect Dis. 2015;61(3):385–392. doi:10.1093/cid/civ307
   PubMed Web of Science ®Google Scholar
• Wada T, Yasunaga H, Horiguchi H, et al. Outcomes of Argatroban treatment in patients with atherothrombotic stroke: observational nationwide study in Japan. Stroke. 2016;47(2):471–476. doi:10.1161/STROKEAHA.115.011250
   Web of Science ®Google Scholar
• Yagi M, Yasunaga H, Matsui H, et al. Impact of rehabilitation on Outcomes in Patients with Ischemic Stroke: a Nationwide Retrospective Cohort Study in Japan. Stroke. 2017;48(3):740–746. doi:10.1161/STROKEAHA.116.015147
   PubMed Web of Science ®Google Scholar
• Shinjo D, Matsumoto K, Terashima K, et al. Volume effect in paediatric brain tumour resection surgery: analysis of data from the Japanese national inpatient database. Eur J Cancer. 2019;109:111–119. doi:10.1016/j.ejca.2018.12.030
   Web of Science ®Google Scholar
• Imaeda T, Nakada T, Takahashi N, et al. Trends in the incidence and outcome of sepsis using data from a Japanese nationwide medical claims database-The Japan Sepsis Alliance (JaSA) study group-. Crit Care. 2021;25(1):1–9. doi:10.1186/s13054-021-03762-8
   Web of Science ®Google Scholar
• Sasabuchi Y, Yasunaga H, Matsui H, et al. The volume-outcome relationship in critically ill patients in relation to the ICU-to-hospital bed ratio. Crit Care Med. 2015;43(6):1239–1245. doi:10.1097/CCM.0000000000000943
   Web of Science ®Google Scholar
• Tagami T, Matsui H, Moroe Y, et al. Antithrombin use and 28-day in-hospital mortality among severe-burn patients: an observational nationwide study. Ann Intensive Care. 2017;7(1):18. doi:10.1186/s13613-017-0244-y
   Web of Science ®Google Scholar
• Shinjo D, Tachimori H, Maruyama-Sakurai K, Fujimori K, Inoue N, Fushimi K. Consultation-liaison psychiatry in Japan: a nationwide retrospective observational study. BMC Psychiatry. 2021;21(1). doi:10.1186/s12888-021-03241-y
   Web of Science ®Google Scholar
• Sakata N, Okumura Y, Fushimi K, Nakanishi M, Ogawa A. Dementia and risk of 30-day readmission in older adults after discharge from acute care hospitals. J Am Geriatr Soc. 2018;66(5):871–878. doi:10.1111/jgs.15282
   PubMed Web of Science ®Google Scholar
• Taniguchi K, Mitsushima S, Inoue N, Horiguchi H. Real-time surveillance of COVID-19 using data from the national hospital organization’s electronic medical record network [Japanese]. Available from: https://www.niid.go.jp/niid/ja/diseases/ka/corona-virus/2019-ncov/2488-idsc/iasrnews/10281-495p03.html. Accessed December 26, 2021.
   Google Scholar
• Yamana H, Moriwaki M, Horiguchi H, Kodan M, Fushimi K, Yasunaga H. Validity of diagnoses, procedures, and laboratory data in Japanese administrative data. J Epidemiol. 2017;27(10):476–482. doi:10.1016/j.je.2016.09.009
   PubMed Web of Science ®Google Scholar
• Imai S, Yamana H, Inoue N, et al. Validity of administrative database detection of previously resolved hepatitis B virus in Japan. J Med Virol. 2019;91(11):1944–1948. doi:10.1002/jmv.25540
   Web of Science ®Google Scholar
• Yamana H, Horiguchi H, Fushimi K, Yasunaga H. Comparison of procedure-based and diagnosis-based identifications of severe sepsis and disseminated intravascular coagulation in administrative data. J Epidemiol. 2016;26(10):530–537. doi:10.2188/jea.JE20150286
   PubMed Web of Science ®Google Scholar
• Yamana H, Tsuchiya A, Horiguchi H, et al. Validity of a model using routinely collected data for identifying infections following gastric, colon, and liver cancer surgeries. Pharmacoepidemiol Drug Saf. 2022;31(4):452–460. doi:10.1002/pds.5386
   Web of Science ®Google Scholar
• Hayashi T, Matsushima M, Bito S, et al. Predictors associated with survival among elderly in-patients who receive cardiopulmonary resuscitation in japan: an observational cohort study. J Gen Intern Med. 2019;34(2):206–210. doi:10.1007/s11606-018-4747-5
   Web of Science ®Google Scholar
• Iketani R, Imai S, Horiguchi H, Furushima D, Fushimi K, Yamada H. Risk stratification for physical morbidity using factors associated with atypical antipsychotic treatment in Parkinson’s disease: a retrospective observational study using administrative claims data. J Clin Neurosci. 2020;76:189–194. doi:10.1016/j.jocn.2020.04.009
   Web of Science ®Google Scholar
• Fukuda T, Imai S, Nakadera M, Wagatsuma Y, Horiguchi H. Postoperative daily living activities of geriatric patients administered general or spinal anesthesia for Hip fracture surgery: a retrospective cohort study. J Orthop Surg. 2018;26(1):230949901775410. doi:10.1177/2309499017754106
   Web of Science ®Google Scholar
• Fukuda T, Imai S, Simoda S, Nakdera M, Horiguchi H. Comparison of peripheral nerve block with local infiltration analgesia regarding walking ability after total knee replacement: a retrospective, propensity-score matched-pair cohort study. J Orthop Surg. 2020;28(2):230949902093165. doi:10.1177/2309499020931656
   Web of Science ®Google Scholar
• Motohashi T, Kobayashi M, Nakadera M, Kunisawa S, Yuichi I, Fushimi K. Analysis of the calculation definitions for clinical indicators and the calculated values ─Differences between the National Hospital Organization clinical indicators and indicator values at the portal site of healthcare quality indicators. J Japan Soc Healthc Adm. 2015;52(3):139–148. doi:10.11303/JSHA.52.139
   Google Scholar
• Kobayashi M, Bito S, Okada C, Fushimi K. Preparation of clinical indicators at the National Hospital Organization and their operation in the future. J Japan Soc Healthc Adm. 2012;49(1):41–50. doi:10.11303/JSHA.49.41
   Google Scholar
• Overview of the 2017 patient survey [Japanese]. Available from: https://www.mhlw.go.jp/toukei/saikin/hw/kanja/17/index.html. Accessed December 26, 2021.
   Google Scholar
• Gianfrancesco MA, Goldstein ND. A narrative review on the validity of electronic health record-based research in epidemiology. BMC Med Res Methodol. 2021;21(1):234. doi:10.1186/s12874-021-01416-5
   Web of Science ®Google Scholar
• Schneeweiss S, Avorn J. A review of uses of health care utilization databases for epidemiologic research on therapeutics. J Clin Epidemiol. 2005;58(4):323–337. doi:10.1016/j.jclinepi.2004.10.012
   PubMed Web of Science ®Google Scholar
• Haneuse S, Arterburn D, Daniels MJ. Assessing missing data assumptions in EHR-based studies: a complex and underappreciated task. JAMA Netw Open. 2021;4(2):e210184. doi:10.1001/jamanetworkopen.2021.0184
   Web of Science ®Google Scholar
• Kuriyama S, Metoki H, Kikuya M, et al. Cohort profile: Tohoku medical Megabank project birth and Three-Generation Cohort Study (TMM BirThree Cohort Study): rationale, progress and perspective. Int J Epidemiol. 2020;49(1):18–19m. doi:10.1093/IJE/DYZ169
   Web of Science ®Google Scholar
• Takayama J, Tadaka S, Yano K, et al. Construction and integration of three de novo Japanese human genome assemblies toward a population-specific reference. Nat Commun. 2021;12(1):1–14. doi:10.1038/s41467-020-20146-8
   Web of Science ®Google Scholar
• Hirata M, Nagai A, Kamatani Y, et al. Overview of BioBank Japan follow-up data in 32 diseases. J Epidemiol. 2017;27(3):S22–S28. doi:10.1016/j.je.2016.12.006
   Web of Science ®Google Scholar
• Sakaue S, Kanai M, Tanigawa Y, et al. A cross-population atlas of genetic associations for 220 human phenotypes. Nat Genet. 2021;53(10):1415–1424. doi:10.1038/s41588-021-00931-x
   PubMed Web of Science ®Google Scholar
• Aujesky D, Auble TE, Yealy DM, et al. Prospective comparison of three validated prediction rules for prognosis in community-acquired pneumonia. Am J Med. 2005;118(4):384–392. doi:10.1016/j.amjmed.2005.01.006
   Web of Science ®Google Scholar
• Shindo Y, Sato S, Maruyama E, et al. Comparison of severity scoring systems A-DROP and CURB-65 for community-acquired pneumonia. Respirology. 2008;13(5):731–735. doi:10.1111/j.1440-1843.2008.01329.x
   PubMed Web of Science ®Google Scholar