NHIS NSC - sporedata/researchdesigneR GitHub Wiki
General description
The NHIS-NSC database is a representative population-based cohort data established by the National Health Insurance Service (NHIS) in South Korea. It provides benefits for prevention, diagnosis, disease and injury treatment, rehabilitation, births, deaths, and health promotion. It comprises four databases: insurance eligibility database, medical treatment database, medical care institution database, and general health examination database. All four databases are further classified according to type of medicine: ‘medical’ and ‘dental & Chinese medicine’ tables.
NHIS-NSC data comes from numerous medical facilities and healthcare organizations and thus presents a risk of lack of consistency in its collection. To mitigate this human error, the OMPO-CDM is used for data collection. The OMOP-CDM (Observational Medical Outcomes Partnership Common Data Model) is a data standard designed to standardize the content and structure of observational data. It enables efficient analyses through the standard capture (same way across all participating institutions) of information for reliable evidence. In essence, OMOP-CDM ensures consistency in data collection across multiple institutions.
Variable categories
- Variables include information on participant’s identity, socioeconomic variables (gender, level of income, residential area, type of health insurance, type and grade of disability registered), birth, and death.
- Variables for the cause of death and residential area details are provided upon request.
- In addition, participants’ electronic medical treatment bills, bill details, details of diseases, and details of prescriptions are also included. Information regarding the type of institution, location, establishment, facilities, number of beds, and physicians are recorded.
Limitations
- Information on rare diseases is unavailable.
- Disease codes listed may not represent participants’ true disease status because the code was created to claim health insurance service to participants, an inherent limitation of insurance databases.
- Non-insurance benefits data (cosmetic surgeries and information for over-the-counter drugs) may be absent.
Related publications
- NHIS-NSC)
- Cohort Profile: The National Health Insurance Service-National Sample Cohort (NHIS-NSC), South Korea
- Conversion of National Health Insurance Service-National Sample Cohort (NHIS-NSC) Database into Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM)
- Patterns of change in cardiovascular risks of Korean male workers: a 10-year cohort analysis using the National Health Insurance Service-National Sample Cohort (NHIS-NSC) 2.0 database
- The Estimated Prevalence and Incidence of Endometriosis With the Korean National Health Insurance Service-National Sample Cohort (NHIS-NSC): A National Population-Based Study
- Evaluating the prevalence, awareness, and control of hypertension, diabetes, and dyslipidemia in Korea using the NHIS-NSC database: A cross-sectional analysis
- Changing patterns of adult asthma incidence: results from the National Health Insurance Service-National Sample Cohort (NHIS-NSC) database in Korea
- Descriptive Study on the Korean Status of Percutaneous Coronary Intervention Using National Health Insurance Service-National Sample Cohort (NHIS-NSC) Database: Focused on Temporal Trend
- Long-term Survival of 10,116 Korean Live Liver Donors
- Incidence of cancer after asthma development: 2 independent population-based cohort studies
- Sample Research DB
- Effectiveness and safety of non-vitamin K direct oral anticoagulants in atrial fibrillation patients with bioprosthetic valve
- Impact of Propofol-based Total Intravenous Anesthesia Versus Inhalation Anesthesia on Long-term Survival after Cancer Surgery in a Nationwide Cohort
- Association between outdoor temperature and achilles tendon repair: A 14-years nationwide population-based cohort study
- Effects of changes in regular physical activity status on hip fracture: A nationwide population-based cohort study in Korea