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Application of Healthcare ‘Big Data’ in CNS Drug Research: The Example of the Neurological and mental health Global Epidemiology Network (NeuroGEN)
Neurological and psychiatric (mental health) disorders have a large impact on health burden globally. Cognitive disorders (including dementia) and stroke are leading causes of disability. Mental health disorders, including depression, contribute up to one-third of total years lived with disability....
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7306570/ https://www.ncbi.nlm.nih.gov/pubmed/32572794 http://dx.doi.org/10.1007/s40263-020-00742-4 |
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author | Ilomäki, Jenni Bell, J. Simon Chan, Adrienne Y. L. Tolppanen, Anna-Maija Luo, Hao Wei, Li Lai, Edward Chia-Cheng Shin, Ju-Young De Paoli, Giorgia Pajouheshnia, Romin Ho, Frederick K. Reynolds, Lorenna Lau, Kui Kai Crystal, Stephen Lau, Wallis C. Y. Man, Kenneth K. C. Brauer, Ruth Chan, Esther W. Shen, Chin-Yao Kim, Ju Hwan Lum, Terry Y. S. Hartikainen, Sirpa Koponen, Marjaana Rooke, Evelien Bazelier, Marloes Klungel, Olaf Setoguchi, Soko Pell, Jill P. Cook, Sharon Wong, Ian C. K. |
author_facet | Ilomäki, Jenni Bell, J. Simon Chan, Adrienne Y. L. Tolppanen, Anna-Maija Luo, Hao Wei, Li Lai, Edward Chia-Cheng Shin, Ju-Young De Paoli, Giorgia Pajouheshnia, Romin Ho, Frederick K. Reynolds, Lorenna Lau, Kui Kai Crystal, Stephen Lau, Wallis C. Y. Man, Kenneth K. C. Brauer, Ruth Chan, Esther W. Shen, Chin-Yao Kim, Ju Hwan Lum, Terry Y. S. Hartikainen, Sirpa Koponen, Marjaana Rooke, Evelien Bazelier, Marloes Klungel, Olaf Setoguchi, Soko Pell, Jill P. Cook, Sharon Wong, Ian C. K. |
author_sort | Ilomäki, Jenni |
collection | PubMed |
description | Neurological and psychiatric (mental health) disorders have a large impact on health burden globally. Cognitive disorders (including dementia) and stroke are leading causes of disability. Mental health disorders, including depression, contribute up to one-third of total years lived with disability. The Neurological and mental health Global Epidemiology Network (NeuroGEN) is an international multi-database network that harnesses administrative and electronic medical records from Australia, Asia, Europe and North America. Using these databases NeuroGEN will investigate medication use and health outcomes in neurological and mental health disorders. A key objective of NeuroGEN is to facilitate high-quality observational studies to address evidence-practice gaps where randomized controlled trials do not provide sufficient information on medication benefits and risks that is specific to vulnerable population groups. International multi-database research facilitates comparisons across geographical areas and jurisdictions, increases statistical power to investigate small subpopulations or rare outcomes, permits early post-approval assessment of safety and effectiveness, and increases generalisability of results. Through bringing together international researchers in pharmacoepidemiology, NeuroGEN has the potential to be paradigm-changing for observational research to inform evidence-based prescribing. The first focus of NeuroGEN will be to address evidence-gaps in the treatment of chronic comorbidities in people with dementia. |
format | Online Article Text |
id | pubmed-7306570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-73065702020-06-22 Application of Healthcare ‘Big Data’ in CNS Drug Research: The Example of the Neurological and mental health Global Epidemiology Network (NeuroGEN) Ilomäki, Jenni Bell, J. Simon Chan, Adrienne Y. L. Tolppanen, Anna-Maija Luo, Hao Wei, Li Lai, Edward Chia-Cheng Shin, Ju-Young De Paoli, Giorgia Pajouheshnia, Romin Ho, Frederick K. Reynolds, Lorenna Lau, Kui Kai Crystal, Stephen Lau, Wallis C. Y. Man, Kenneth K. C. Brauer, Ruth Chan, Esther W. Shen, Chin-Yao Kim, Ju Hwan Lum, Terry Y. S. Hartikainen, Sirpa Koponen, Marjaana Rooke, Evelien Bazelier, Marloes Klungel, Olaf Setoguchi, Soko Pell, Jill P. Cook, Sharon Wong, Ian C. K. CNS Drugs Leading Article Neurological and psychiatric (mental health) disorders have a large impact on health burden globally. Cognitive disorders (including dementia) and stroke are leading causes of disability. Mental health disorders, including depression, contribute up to one-third of total years lived with disability. The Neurological and mental health Global Epidemiology Network (NeuroGEN) is an international multi-database network that harnesses administrative and electronic medical records from Australia, Asia, Europe and North America. Using these databases NeuroGEN will investigate medication use and health outcomes in neurological and mental health disorders. A key objective of NeuroGEN is to facilitate high-quality observational studies to address evidence-practice gaps where randomized controlled trials do not provide sufficient information on medication benefits and risks that is specific to vulnerable population groups. International multi-database research facilitates comparisons across geographical areas and jurisdictions, increases statistical power to investigate small subpopulations or rare outcomes, permits early post-approval assessment of safety and effectiveness, and increases generalisability of results. Through bringing together international researchers in pharmacoepidemiology, NeuroGEN has the potential to be paradigm-changing for observational research to inform evidence-based prescribing. The first focus of NeuroGEN will be to address evidence-gaps in the treatment of chronic comorbidities in people with dementia. Springer International Publishing 2020-06-22 2020 /pmc/articles/PMC7306570/ /pubmed/32572794 http://dx.doi.org/10.1007/s40263-020-00742-4 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Leading Article Ilomäki, Jenni Bell, J. Simon Chan, Adrienne Y. L. Tolppanen, Anna-Maija Luo, Hao Wei, Li Lai, Edward Chia-Cheng Shin, Ju-Young De Paoli, Giorgia Pajouheshnia, Romin Ho, Frederick K. Reynolds, Lorenna Lau, Kui Kai Crystal, Stephen Lau, Wallis C. Y. Man, Kenneth K. C. Brauer, Ruth Chan, Esther W. Shen, Chin-Yao Kim, Ju Hwan Lum, Terry Y. S. Hartikainen, Sirpa Koponen, Marjaana Rooke, Evelien Bazelier, Marloes Klungel, Olaf Setoguchi, Soko Pell, Jill P. Cook, Sharon Wong, Ian C. K. Application of Healthcare ‘Big Data’ in CNS Drug Research: The Example of the Neurological and mental health Global Epidemiology Network (NeuroGEN) |
title | Application of Healthcare ‘Big Data’ in CNS Drug Research: The Example of the Neurological and mental health Global Epidemiology Network (NeuroGEN) |
title_full | Application of Healthcare ‘Big Data’ in CNS Drug Research: The Example of the Neurological and mental health Global Epidemiology Network (NeuroGEN) |
title_fullStr | Application of Healthcare ‘Big Data’ in CNS Drug Research: The Example of the Neurological and mental health Global Epidemiology Network (NeuroGEN) |
title_full_unstemmed | Application of Healthcare ‘Big Data’ in CNS Drug Research: The Example of the Neurological and mental health Global Epidemiology Network (NeuroGEN) |
title_short | Application of Healthcare ‘Big Data’ in CNS Drug Research: The Example of the Neurological and mental health Global Epidemiology Network (NeuroGEN) |
title_sort | application of healthcare ‘big data’ in cns drug research: the example of the neurological and mental health global epidemiology network (neurogen) |
topic | Leading Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7306570/ https://www.ncbi.nlm.nih.gov/pubmed/32572794 http://dx.doi.org/10.1007/s40263-020-00742-4 |
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