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Article: Cross-Regional Data Initiative for the Assessment and Development of Treatment for Neurological and Mental Disorders

TitleCross-Regional Data Initiative for the Assessment and Development of Treatment for Neurological and Mental Disorders
Authors
Keywordsdata repository
meta-data
NeuroGEN
Neurological and Mental Health Global Epidemiology Network
Issue Date21-Dec-2023
PublisherTaylor and Francis Group
Citation
Clinical Epidemiology, 2023, v. 15, p. 1241-1252 How to Cite?
Abstract

Purpose: To describe and categorize detailed components of databases in the Neurological and Mental Health Global Epidemiology Network (NeuroGEN).
Methods: An online 132-item questionnaire was sent to key researchers and data custodians of NeuroGEN in North America, Europe, Asia and Oceania. From the responses, we assessed data characteristics including population coverage, data follow-up, clinical information, validity of diagnoses, medication use and data latency. We also evaluated the possibility of conversion into a common data model (CDM) to implement a federated network approach. Moreover, we used radar charts to visualize the data capacity assessments, based on different perspectives.
Results: The results indicated that the 15 databases covered approximately 320 million individuals, included in 7 nationwide claims databases from Australia, Finland, South Korea, Taiwan and the US, 6 population-based electronic health record databases from Hong Kong, Scotland, Taiwan, the Netherlands and the UK, and 2 biomedical databases from Taiwan and the UK.
Conclusion: The 15 databases showed good potential for a federated network approach using a common data model. Our study provided publicly accessible information on these databases for those seeking to employ real-world data to facilitate current assessment and future development of treatments for neurological and mental disorders.


Persistent Identifierhttp://hdl.handle.net/10722/340736
ISSN
2023 Impact Factor: 3.4
2023 SCImago Journal Rankings: 1.695
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorTsai, Daniel Hsiang-Te-
dc.contributor.authorBell, J Simon-
dc.contributor.authorAbtahi, Shahab-
dc.contributor.authorBaak, Brenda-
dc.contributor.authorBazelier, Marloes-
dc.contributor.authorBrauer, Ruth-
dc.contributor.authorChan, Adrienne-
dc.contributor.authorChan, Esther-
dc.contributor.authorChen, Haoqian-
dc.contributor.authorChui, Celine-
dc.contributor.authorCook, Sharon-
dc.contributor.authorCrystal, Stephen-
dc.contributor.authorGandhi, Poonam-
dc.contributor.authorHartikainen, Sirpa-
dc.contributor.authorHo, Frederick-
dc.contributor.authorHsu, Shao-Ti-
dc.contributor.authorIlomäki, Jenni-
dc.contributor.authorKim, Ju Hwan-
dc.contributor.authorKlungel, Olaf-
dc.contributor.authorKoponen, Marjaana-
dc.contributor.authorLau, Wallis-
dc.contributor.authorLau, Kui Kai-
dc.contributor.authorLum, Terry-
dc.contributor.authorLuo, Hao-
dc.contributor.authorMan, Kenneth-
dc.contributor.authorPell, Jill-
dc.contributor.authorSetoguchi, Soko-
dc.contributor.authorShao, Shih-Chieh-
dc.contributor.authorShen, Chin-Yao-
dc.contributor.authorShin, Ju-Young-
dc.contributor.authorSouverein, Patrick-
dc.contributor.authorTolppanen, Anna-Maija-
dc.contributor.authorWei, Li-
dc.contributor.authorWong, Ian-
dc.contributor.authorLai, Edward Chia-Cheng-
dc.date.accessioned2024-03-11T10:46:44Z-
dc.date.available2024-03-11T10:46:44Z-
dc.date.issued2023-12-21-
dc.identifier.citationClinical Epidemiology, 2023, v. 15, p. 1241-1252-
dc.identifier.issn1179-1349-
dc.identifier.urihttp://hdl.handle.net/10722/340736-
dc.description.abstract<p><strong>Purpose:</strong> To describe and categorize detailed components of databases in the Neurological and Mental Health Global Epidemiology Network (NeuroGEN).<br><strong>Methods:</strong> An online 132-item questionnaire was sent to key researchers and data custodians of NeuroGEN in North America, Europe, Asia and Oceania. From the responses, we assessed data characteristics including population coverage, data follow-up, clinical information, validity of diagnoses, medication use and data latency. We also evaluated the possibility of conversion into a common data model (CDM) to implement a federated network approach. Moreover, we used radar charts to visualize the data capacity assessments, based on different perspectives.<br><strong>Results:</strong> The results indicated that the 15 databases covered approximately 320 million individuals, included in 7 nationwide claims databases from Australia, Finland, South Korea, Taiwan and the US, 6 population-based electronic health record databases from Hong Kong, Scotland, Taiwan, the Netherlands and the UK, and 2 biomedical databases from Taiwan and the UK.<br><strong>Conclusion:</strong> The 15 databases showed good potential for a federated network approach using a common data model. Our study provided publicly accessible information on these databases for those seeking to employ real-world data to facilitate current assessment and future development of treatments for neurological and mental disorders.<br></p>-
dc.languageeng-
dc.publisherTaylor and Francis Group-
dc.relation.ispartofClinical Epidemiology-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectdata repository-
dc.subjectmeta-data-
dc.subjectNeuroGEN-
dc.subjectNeurological and Mental Health Global Epidemiology Network-
dc.titleCross-Regional Data Initiative for the Assessment and Development of Treatment for Neurological and Mental Disorders-
dc.typeArticle-
dc.identifier.doi10.2147/CLEP.S426485-
dc.identifier.scopuseid_2-s2.0-85180198304-
dc.identifier.volume15-
dc.identifier.spage1241-
dc.identifier.epage1252-
dc.identifier.eissn1179-1349-
dc.identifier.isiWOS:001130498000001-
dc.identifier.issnl1179-1349-

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