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Validation of claims data to identify death among aged persons utilizing enrollment data from health insurance unions.

TLDR
The validity of death information in inpatient claims was high, suggesting its potential usefulness for identifying death, but given the low sensitivity for outpatient deaths, the use ofdeath information obtained solely from records in outpatient claims is not recommended.
Abstract
The identification of death is critical for epidemiological research. Despite recent developments in health insurance claims databases, the quality of death information in claims is not guaranteed because health insurance claims are collected primarily for reimbursement. We aimed to examine the usefulness and limitations of death information in claims data and to examine methods for improving the quality of death information for aged persons. We used health insurance claims data and enrollment data (as the gold standard) from September 2012 through August 2015 for nondependent persons aged 65–74 years enrolled in Japanese workplace health insurance. Overall, 3,710,538 insured persons were registered in the database during the study period. We analyzed 45,441 eligible persons. Inpatient and outpatient deaths were identified from the discharge/disease status in the claims, with sensitivities of 94.3% and 47.4%, specificities of 98.5% and 99.9%, and PPVs of 96.3% and 95.7%, respectively, using enrollment data as the gold standard. For outpatients, death defined as a combination of disease status and charge data for terminal care still indicated low sensitivity (54.7%). The validity of death information in inpatient claims was high, suggesting its potential usefulness for identifying death. However, given the low sensitivity for outpatient deaths, the use of death information obtained solely from records in outpatient claims is not recommended.

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Journal ArticleDOI

Data resource profile: JMDC claims database sourced from health insurance societies.

TL;DR: A database, using data collected from health insurance societies in Japan, consisting of ledgers of insureds, claims (for hospitalization, outpatient treatment, drug preparation, and dental treatment), and health checkup results, with the earliest starting date being January 2005.
Journal ArticleDOI

Validity of diagnoses and procedures in Japanese dental claims data

TL;DR: In this article, the accuracy of diagnoses, procedures, operation time, and the number of teeth recorded in dental claims data was examined for five diseases and 15 procedures in an academic hospital.
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Reduction in inequalities in health insurance coverage and healthcare utilization among older adults in the Philippines after mandatory national health insurance coverage: trend analysis for 2003-2017.

TL;DR: The passage of mandatory NHIP coverage for older Filipino adults in 2014 was followed by a reduction in inequality inNHIP coverage and healthcare utilization according to wealth, showing reduced inequalities in NHIP Coverage over time as observed for self-reported illness and healthcare usage.
Journal ArticleDOI

Contemporary use of SGLT2 inhibitors in heart failure patients with diabetes mellitus: a comparison of DPP4 inhibitors in a nationwide electric health database of the superaged society

TL;DR: In this paper , the authors investigated the association between the use of SGLT2 inhibitors and one-year prognosis in patients hospitalized across a broad spectrum of heart failure patients with type 2 diabetes in the superaged society using the Nationwide Electric Health Database.
References
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Journal ArticleDOI

Nationwide Population Science: Lessons From the Taiwan National Health Insurance Research Database.

TL;DR: The Taiwan National Health Insurance (NHI) Research Database is one of the largest nationwide population databases in the world, covering approximately 23 million residents in Taiwan, and helps facilitate research on health care utilization, health economics, and biomedical and behavioral research.
Journal ArticleDOI

Towards Actualizing the Value Potential of Korea Health Insurance Review and Assessment (HIRA) Data as a Resource for Health Research: Strengths, Limitations, Applications, and Strategies for Optimal Use of HIRA Data.

TL;DR: This work introduces HIRA data as an important source for health research and provides guidelines for researchers who are currently utilizing HIRA, or interested in doing so, to answer their research questions, and presents the characteristics and structure ofHIRA data.
Journal ArticleDOI

Development of a database of health insurance claims: standardization of disease classifications and anonymous record linkage.

TL;DR: The use of standardized disease classifications and anonymous record linkage substantially contributed to the construction of a large, chronologically organized database of receipts, which is expected to aid in epidemiologic and health services research using receipt information.
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