{"title":"Difference in Age- and Sex-adjusted Prevalence of Diseases between Employees and Nonemployees with Health Insurance in Japan.","authors":"Masakazu Kohda, Akira Okada, Hideo Yasunaga","doi":"10.31662/jmaj.2024-0281","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Administrative claims data are used in clinical studies. However, individuals insured by different insurance systems have different backgrounds, ages, and disease prevalences. This study aimed to examine the crude and adjusted prevalence of diseases between employee and nonemployee health insurance in Japan.</p><p><strong>Methods: </strong>We conducted a cross-sectional study using the DeSC database, an administrative claims database covering multiple insurers. We calculated the prevalence of 10 disease categories and 6 specific cancers with and without adjustments for age and sex and compared them between the employee (Kempo) and nonemployee (Kokuho) insurance systems.</p><p><strong>Results: </strong>We identified 740,217 and 3,312,042 individuals covered by Kempo and Kokuho, respectively. The Kokuho group showed a higher crude prevalence of malignancies, endocrinological diseases, mental disorders, neurological diseases, cardiovascular diseases, and kidney or genitourinary diseases. The adjusted prevalence differed in mental disorders (7.2% vs. 10.6%), neurological diseases (10.5% vs. 14.0%), and gastrointestinal diseases (50.1% vs. 34.1%) between the Kempo and Kokuho groups.</p><p><strong>Conclusions: </strong>While using administrative claims data, researchers should consider differences in patient backgrounds and disease prevalence among insurance providers.</p>","PeriodicalId":73550,"journal":{"name":"JMA journal","volume":"8 2","pages":"411-416"},"PeriodicalIF":1.5000,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12095125/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JMA journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31662/jmaj.2024-0281","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/14 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Administrative claims data are used in clinical studies. However, individuals insured by different insurance systems have different backgrounds, ages, and disease prevalences. This study aimed to examine the crude and adjusted prevalence of diseases between employee and nonemployee health insurance in Japan.
Methods: We conducted a cross-sectional study using the DeSC database, an administrative claims database covering multiple insurers. We calculated the prevalence of 10 disease categories and 6 specific cancers with and without adjustments for age and sex and compared them between the employee (Kempo) and nonemployee (Kokuho) insurance systems.
Results: We identified 740,217 and 3,312,042 individuals covered by Kempo and Kokuho, respectively. The Kokuho group showed a higher crude prevalence of malignancies, endocrinological diseases, mental disorders, neurological diseases, cardiovascular diseases, and kidney or genitourinary diseases. The adjusted prevalence differed in mental disorders (7.2% vs. 10.6%), neurological diseases (10.5% vs. 14.0%), and gastrointestinal diseases (50.1% vs. 34.1%) between the Kempo and Kokuho groups.
Conclusions: While using administrative claims data, researchers should consider differences in patient backgrounds and disease prevalence among insurance providers.
简介:行政索赔数据用于临床研究。然而,参加不同保险制度的个人有不同的背景、年龄和疾病患病率。本研究旨在检验日本雇员和非雇员健康保险之间的原始和调整的疾病患病率。方法:我们使用DeSC数据库进行了横断面研究,DeSC数据库是一个涵盖多个保险公司的行政索赔数据库。我们计算了年龄和性别调整前后10种疾病类别和6种特定癌症的患病率,并比较了雇员(Kempo)和非雇员(Kokuho)保险系统之间的患病率。结果:Kempo和Kokuho分别鉴定出740,217人和3,312,042人。国浩组的恶性肿瘤、内分泌疾病、精神障碍、神经系统疾病、心血管疾病、肾脏或泌尿生殖系统疾病的原始患病率更高。Kempo组和Kokuho组在精神疾病(7.2% vs. 10.6%)、神经疾病(10.5% vs. 14.0%)和胃肠道疾病(50.1% vs. 34.1%)方面的调整患病率存在差异。结论:在使用行政索赔数据时,研究人员应考虑患者背景和保险提供商之间疾病患病率的差异。