Reliably estimating prevalences of atopic children: an epidemiological study in an extensive and representative primary care database
Atopic disorders: Clinical information improves prevalence estimates The prevalence of atopic disorders in children can be more reliably calculated by incorporating clinical information with diagnosis data. Researchers in the Netherlands, led by David Pols from the Erasmus University Medical Center...
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Nature Portfolio
2017
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oai:doaj.org-article:c734d01e3d854e97892a8afce17712e42021-12-02T12:30:24ZReliably estimating prevalences of atopic children: an epidemiological study in an extensive and representative primary care database10.1038/s41533-017-0025-y2055-1010https://doaj.org/article/c734d01e3d854e97892a8afce17712e42017-04-01T00:00:00Zhttps://doi.org/10.1038/s41533-017-0025-yhttps://doaj.org/toc/2055-1010Atopic disorders: Clinical information improves prevalence estimates The prevalence of atopic disorders in children can be more reliably calculated by incorporating clinical information with diagnosis data. Researchers in the Netherlands, led by David Pols from the Erasmus University Medical Center Rotterdam, examined the electronic health records of more than 660,000 children, aged 0 to 18, from a Dutch primary care database to determine the number of cases of atopic eczema, asthma, and allergic rhinitis. They looked for diagnosed children who also had at least two relevant clinical consultations and at least two relevant prescriptions. This strategy helps correct for the problem of overestimation, because it doesnot assume that a child, once diagnosed, will have an atopic disorder for life. However, other methods are still needed to identify cases that are missed or misclassified in the health database.David H. J. PolsMark. M. J. NielenJoke C. KorevaarPatrick J. E. BindelsArthur M. BohnenNature PortfolioarticleDiseases of the respiratory systemRC705-779ENnpj Primary Care Respiratory Medicine, Vol 27, Iss 1, Pp 1-6 (2017) |
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Diseases of the respiratory system RC705-779 |
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Diseases of the respiratory system RC705-779 David H. J. Pols Mark. M. J. Nielen Joke C. Korevaar Patrick J. E. Bindels Arthur M. Bohnen Reliably estimating prevalences of atopic children: an epidemiological study in an extensive and representative primary care database |
description |
Atopic disorders: Clinical information improves prevalence estimates The prevalence of atopic disorders in children can be more reliably calculated by incorporating clinical information with diagnosis data. Researchers in the Netherlands, led by David Pols from the Erasmus University Medical Center Rotterdam, examined the electronic health records of more than 660,000 children, aged 0 to 18, from a Dutch primary care database to determine the number of cases of atopic eczema, asthma, and allergic rhinitis. They looked for diagnosed children who also had at least two relevant clinical consultations and at least two relevant prescriptions. This strategy helps correct for the problem of overestimation, because it doesnot assume that a child, once diagnosed, will have an atopic disorder for life. However, other methods are still needed to identify cases that are missed or misclassified in the health database. |
format |
article |
author |
David H. J. Pols Mark. M. J. Nielen Joke C. Korevaar Patrick J. E. Bindels Arthur M. Bohnen |
author_facet |
David H. J. Pols Mark. M. J. Nielen Joke C. Korevaar Patrick J. E. Bindels Arthur M. Bohnen |
author_sort |
David H. J. Pols |
title |
Reliably estimating prevalences of atopic children: an epidemiological study in an extensive and representative primary care database |
title_short |
Reliably estimating prevalences of atopic children: an epidemiological study in an extensive and representative primary care database |
title_full |
Reliably estimating prevalences of atopic children: an epidemiological study in an extensive and representative primary care database |
title_fullStr |
Reliably estimating prevalences of atopic children: an epidemiological study in an extensive and representative primary care database |
title_full_unstemmed |
Reliably estimating prevalences of atopic children: an epidemiological study in an extensive and representative primary care database |
title_sort |
reliably estimating prevalences of atopic children: an epidemiological study in an extensive and representative primary care database |
publisher |
Nature Portfolio |
publishDate |
2017 |
url |
https://doaj.org/article/c734d01e3d854e97892a8afce17712e4 |
work_keys_str_mv |
AT davidhjpols reliablyestimatingprevalencesofatopicchildrenanepidemiologicalstudyinanextensiveandrepresentativeprimarycaredatabase AT markmjnielen reliablyestimatingprevalencesofatopicchildrenanepidemiologicalstudyinanextensiveandrepresentativeprimarycaredatabase AT jokeckorevaar reliablyestimatingprevalencesofatopicchildrenanepidemiologicalstudyinanextensiveandrepresentativeprimarycaredatabase AT patrickjebindels reliablyestimatingprevalencesofatopicchildrenanepidemiologicalstudyinanextensiveandrepresentativeprimarycaredatabase AT arthurmbohnen reliablyestimatingprevalencesofatopicchildrenanepidemiologicalstudyinanextensiveandrepresentativeprimarycaredatabase |
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