Research Support Center, Shizuoka General Hospital.
Graduate School of Public Health, Shizuoka Graduate University of Public Health.
J Epidemiol. 2022 Aug 5;32(8):391-400. doi: 10.2188/jea.JE20200480. Epub 2021 Jul 17.
Analyzing real-world data, including health insurance claims, may help provide insights into preventing and treating various diseases. We developed a database covering Shizuoka Prefecture (Shizuoka Kokuho Database [SKDB]) in Japan, which included individual-level linked data on health- and care-insurance claims and health checkup results.
Anonymized claims data on health insurance (National Health Insurance [age <75 years] and Latter-Stage Elderly Medical Care System [age ≥75 years]), care insurance, subscriber lists, annual health checkups, and all dates of death were collected from 35 municipalities in Shizuoka Prefecture. To efficiently link claims and health checkups, unique individual IDs were assigned using a novel procedure.
From April 2012 to September 2018, the SKDB included 2,230,848 individuals (men, 1,019,687; 45.7%). The median age (min-max) of men and women was 60 (0-106) and 62 (0-111) years, respectively. During the study period, the median subscription time was 4.4 years; 40.8% of individuals continuously subscribed for the 6.5 years; 213,566 individuals died. Health checkup data were available for 654,035 individuals, amounting to 2,469,648 records. Care-service recipient data were available for 283,537 individuals; they used care insurance to pay for care costs.
SKDB, a population-based longitudinal cohort, provides a comprehensive dataset covering health checkups, disorders, medication, and care service. This database may provide a robust platform to identify epidemiological problems and generate hypotheses for preventing and treating disorders in the elderly.
分析真实世界的数据，包括健康保险索赔，可以帮助提供预防和治疗各种疾病的见解。我们在日本开发了一个涵盖静冈县的数据库（静冈县健康保险数据库[SKDB]），其中包括健康和护理保险索赔以及健康检查结果的个人层面链接数据。
从静冈县的 35 个市町村收集了匿名的健康保险（国民健康保险[年龄<75 岁]和后期老年人医疗保障制度[年龄≥75 岁]）、护理保险、参保人名单、年度健康检查以及所有死亡日期的数据。为了有效地链接索赔和健康检查，我们使用一种新的程序分配了唯一的个人 ID。
从 2012 年 4 月至 2018 年 9 月，SKDB 包括 2230848 人（男性，1019687 人；45.7%）。男性和女性的中位年龄（最小-最大）分别为 60（0-106）和 62（0-111）岁。在研究期间，中位参保时间为 4.4 年；40.8%的人连续参保 6.5 年；213566 人死亡。有 654035 人可获得健康检查数据，共计 2469648 条记录。有 283537 人可获得护理服务接受者数据；他们使用护理保险支付护理费用。
SKDB 是一个基于人群的纵向队列，提供了一个涵盖健康检查、疾病、药物和护理服务的综合数据集。该数据库可能为识别老年人群中的流行病学问题和生成预防和治疗疾病的假说提供一个强大的平台。
