Abstract

BackgroundAnalyzing 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.MethodsAnonymized 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.ResultsFrom 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.ConclusionSKDB, 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.

Highlights

  • Advances in therapeutic techniques and medical technologies have contributed to health promotion and longevity

  • There are residual biases and strong assumptions with the mathematical modeling of findings obtained from health insurance data[5]; analysis using health insurance data may be valuable in hypothesis generation and confirmation of the effectiveness of medical heuristics.[6]

  • The Shizuoka Kokuho Database (SKDB) is organized as an individual-level linked, populationbased longitudinal cohort; it comprises data of Shizuoka Prefecture residents with National Health Insurance (NHI) and Latter-Stage Elderly Medical Care System (LSEMCS)

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Summary

Introduction

Advances in therapeutic techniques and medical technologies have contributed to health promotion and longevity. Individual-level real-world data, including health insurance data, have become available for medical research.[1,2,3,4] There are residual biases and strong assumptions with the mathematical modeling of findings obtained from health insurance data[5]; analysis using health insurance data may be valuable in hypothesis generation and confirmation of the effectiveness of medical heuristics.[6]. 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

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