Estimating diabetes mellitus incidence using health insurance claims data: A database-driven cohort study.

ABSTRACT: Type II diabetes mellitus is a global public health challenge, necessitating robust epidemiological investigations. The majority of evidence reports prevalence as estimations of incidence requiring longitudinal cohort studies that are challenging to conduct. However, this has been addressed by the secondary use of existing health insurance claims data. The current study aimed to examine the incidence of type II diabetes mellitus using existing claims and ledger data. The National Health Insurance and medical care system databases were used to extract type II diabetes mellitus (defined as ICD10 codes E11$-14$) claims data over a period of 5 years for individuals over 40 years old living in one city in Japan. Prevalence was calculated, and insured individuals whose data could be tracked over

SUBMITTER: Kunisawa S 

PROVIDER: S-EPMC11446451 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature