Suto Maiko, Sugiyama Takehiro, Imai Kenjiro, Furuno Takashi, Hosozawa Mariko, Ichinose Yuichi, Ihana-Sugiyama Noriko, Kodama Tomoko, Koizumi Ryuji, Shimizu-Motohashi Yuko, Murata Shunsuke, Nakamura Yayoi, Niino Mariko, Sato Misuzu, Taguchi Reina, Takegami Misa, Tanaka Motoko, Tsutsumimoto Kota, Usuda Kentaro, Takehara Kenji, Iso Hiroyasu
Department of Health Policy, National Center for Child Health and Development, Tokyo, Japan.
Institute for Global Health Policy Research, Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan.
JMA J. 2023 Jul 14;6(3):233-245. doi: 10.31662/jmaj.2022-0184. Epub 2023 Jun 19.
Health insurance claims data are used in various research fields; however, an overview on how they are used in healthcare research is scarce in Japan. Therefore, we conducted a scoping review to systematically map the relevant studies using Japanese claims data.
MEDLINE, EMBASE, and Ichushi-Web were searched up to April 2021 for studies using Japanese healthcare claims data. We abstracted the data on study characteristics and summarized target diseases and research themes by the types of claims database. Moreover, we described the results of studies that aimed to compare health insurance claims data with other data sources narratively.
A total of 1,493 studies were included. Overall, the most common disease classifications were "Diseases of the circulatory system" (18.8%, n = 281), "Endocrine, nutritional, and metabolic diseases" (11.5%, n = 171; mostly diabetes), and "Neoplasms" (10.9%, n = 162), and the most common research themes were "medical treatment status" (30.0%, n = 448), "intervention effect" (29.9%, n = 447), and "clinical epidemiology, course of diseases" (27.9%, n = 417). Frequent diseases and themes varied by type of claims databases. A total of 19 studies aimed to assess the validity of the claims-based definition, and 21 aimed to compare the results of claims data with other data sources. Most studies that assessed the validity of claims data compared to medical records were hospital-based, with a small number of institutions.
Claims data are used in various research areas and will increasingly provide important evidence for healthcare policy in Japan. It is important to use previous claims database studies and share information on methodology among researchers, including validation studies, while informing policymakers about the applicability of claims data for healthcare planning and management.
健康保险理赔数据在多个研究领域中都有应用;然而,在日本,关于其在医疗保健研究中的应用概述却很匮乏。因此,我们进行了一项范围综述,以系统梳理使用日本理赔数据的相关研究。
检索了截至2021年4月的MEDLINE、EMBASE和Ichushi-Web数据库,查找使用日本医疗保健理赔数据的研究。我们提取了研究特征数据,并按理赔数据库类型总结了目标疾病和研究主题。此外,我们还对旨在将健康保险理赔数据与其他数据源进行比较的研究结果进行了叙述性描述。
共纳入1493项研究。总体而言,最常见的疾病分类为“循环系统疾病”(18.8%,n = 281)、“内分泌、营养和代谢疾病”(11.5%,n = 171;主要是糖尿病)和“肿瘤”(10.9%,n = 162),最常见的研究主题为“医疗状况”(30.0%,n = 448)、“干预效果”(29.9%,n = 447)和“临床流行病学、疾病进程”(27.9%,n = 417)。常见疾病和主题因理赔数据库类型而异。共有19项研究旨在评估基于理赔的定义的有效性,21项旨在将理赔数据的结果与其他数据源进行比较。与医疗记录相比,大多数评估理赔数据有效性的研究都是基于医院的,涉及的机构数量较少。
理赔数据在多个研究领域都有应用,并将越来越多地为日本的医疗保健政策提供重要证据。重要的是要利用先前的理赔数据库研究,并在研究人员之间共享方法学信息,包括验证研究,同时向政策制定者通报理赔数据在医疗保健规划和管理中的适用性。