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Data resource profile: the National Health Insurance Research Database (NHIRD)
Electronic health records (EHRs) can provide researchers with extraordinary opportunities for population-based research. The National Health Insurance system of Taiwan was established in 1995 and covers more than 99.6% of the Taiwanese population; this system’s claims data are released as the Nation...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Epidemiology
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6367203/ https://www.ncbi.nlm.nih.gov/pubmed/30727703 http://dx.doi.org/10.4178/epih.e2018062 |
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author | Lin, Liang-yu Warren-Gash, Charlotte Smeeth, Liam Chen, Pau-Chung |
author_facet | Lin, Liang-yu Warren-Gash, Charlotte Smeeth, Liam Chen, Pau-Chung |
author_sort | Lin, Liang-yu |
collection | PubMed |
description | Electronic health records (EHRs) can provide researchers with extraordinary opportunities for population-based research. The National Health Insurance system of Taiwan was established in 1995 and covers more than 99.6% of the Taiwanese population; this system’s claims data are released as the National Health Insurance Research Database (NHIRD). All data from primary outpatient departments and inpatient hospital care settings after 2000 are included in this database. After a change and update in 2016, the NHIRD is maintained and regulated by the Data Science Centre of the Ministry of Health and Welfare of Taiwan. Datasets for approved research are released in three forms: sampling datasets comprising 2 million subjects, disease-specific databases, and full population datasets. These datasets are de-identified and contain basic demographic information, disease diagnoses, prescriptions, operations, and investigations. Data can be linked to government surveys or other research datasets. While only a small number of validation studies with small sample sizes have been undertaken, they have generally reported positive predictive values of over 70% for various diagnoses. Currently, patients cannot opt out of inclusion in the database, although this requirement is under review. In conclusion, the NHIRD is a large, powerful data source for biomedical research. |
format | Online Article Text |
id | pubmed-6367203 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Korean Society of Epidemiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-63672032019-02-22 Data resource profile: the National Health Insurance Research Database (NHIRD) Lin, Liang-yu Warren-Gash, Charlotte Smeeth, Liam Chen, Pau-Chung Epidemiol Health Review Paper Electronic health records (EHRs) can provide researchers with extraordinary opportunities for population-based research. The National Health Insurance system of Taiwan was established in 1995 and covers more than 99.6% of the Taiwanese population; this system’s claims data are released as the National Health Insurance Research Database (NHIRD). All data from primary outpatient departments and inpatient hospital care settings after 2000 are included in this database. After a change and update in 2016, the NHIRD is maintained and regulated by the Data Science Centre of the Ministry of Health and Welfare of Taiwan. Datasets for approved research are released in three forms: sampling datasets comprising 2 million subjects, disease-specific databases, and full population datasets. These datasets are de-identified and contain basic demographic information, disease diagnoses, prescriptions, operations, and investigations. Data can be linked to government surveys or other research datasets. While only a small number of validation studies with small sample sizes have been undertaken, they have generally reported positive predictive values of over 70% for various diagnoses. Currently, patients cannot opt out of inclusion in the database, although this requirement is under review. In conclusion, the NHIRD is a large, powerful data source for biomedical research. Korean Society of Epidemiology 2018-12-27 /pmc/articles/PMC6367203/ /pubmed/30727703 http://dx.doi.org/10.4178/epih.e2018062 Text en ©2018, Korean Society of Epidemiology This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Paper Lin, Liang-yu Warren-Gash, Charlotte Smeeth, Liam Chen, Pau-Chung Data resource profile: the National Health Insurance Research Database (NHIRD) |
title | Data resource profile: the National Health Insurance Research Database (NHIRD) |
title_full | Data resource profile: the National Health Insurance Research Database (NHIRD) |
title_fullStr | Data resource profile: the National Health Insurance Research Database (NHIRD) |
title_full_unstemmed | Data resource profile: the National Health Insurance Research Database (NHIRD) |
title_short | Data resource profile: the National Health Insurance Research Database (NHIRD) |
title_sort | data resource profile: the national health insurance research database (nhird) |
topic | Review Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6367203/ https://www.ncbi.nlm.nih.gov/pubmed/30727703 http://dx.doi.org/10.4178/epih.e2018062 |
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