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Calculating incidence rates and prevalence proportions: not as simple as it seems

BACKGROUND: Incidence rates and prevalence proportions are commonly used to express the populations health status. Since there are several methods used to calculate these epidemiological measures, good comparison between studies and countries is difficult. This study investigates the impact of diffe...

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Autores principales: Spronk, Inge, Korevaar, Joke C., Poos, René, Davids, Rodrigo, Hilderink, Henk, Schellevis, François G., Verheij, Robert A., Nielen, Mark M. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6501456/
https://www.ncbi.nlm.nih.gov/pubmed/31060532
http://dx.doi.org/10.1186/s12889-019-6820-3
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author Spronk, Inge
Korevaar, Joke C.
Poos, René
Davids, Rodrigo
Hilderink, Henk
Schellevis, François G.
Verheij, Robert A.
Nielen, Mark M. J.
author_facet Spronk, Inge
Korevaar, Joke C.
Poos, René
Davids, Rodrigo
Hilderink, Henk
Schellevis, François G.
Verheij, Robert A.
Nielen, Mark M. J.
author_sort Spronk, Inge
collection PubMed
description BACKGROUND: Incidence rates and prevalence proportions are commonly used to express the populations health status. Since there are several methods used to calculate these epidemiological measures, good comparison between studies and countries is difficult. This study investigates the impact of different operational definitions of numerators and denominators on incidence rates and prevalence proportions. METHODS: Data from routine electronic health records of general practices contributing to NIVEL Primary Care Database was used. Incidence rates were calculated using different denominators (person-years at-risk, person-years and midterm population). Three different prevalence proportions were determined: 1 year period prevalence proportions, point-prevalence proportions and contact prevalence proportions. RESULTS: One year period prevalence proportions were substantially higher than point-prevalence (58.3 - 206.6%) for long-lasting diseases, and one year period prevalence proportions were higher than contact prevalence proportions (26.2 - 79.7%). For incidence rates, the use of different denominators resulted in small differences between the different calculation methods (-1.3 - 14.8%). Using person-years at-risk or a midterm population resulted in higher rates compared to using person-years. CONCLUSIONS: All different operational definitions affect incidence rates and prevalence proportions to some extent. Therefore, it is important that the terminology and methodology is well described by sources reporting these epidemiological measures. When comparing incidence rates and prevalence proportions from different sources, it is important to be aware of the operational definitions applied and their impact.
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spelling pubmed-65014562019-05-10 Calculating incidence rates and prevalence proportions: not as simple as it seems Spronk, Inge Korevaar, Joke C. Poos, René Davids, Rodrigo Hilderink, Henk Schellevis, François G. Verheij, Robert A. Nielen, Mark M. J. BMC Public Health Research Article BACKGROUND: Incidence rates and prevalence proportions are commonly used to express the populations health status. Since there are several methods used to calculate these epidemiological measures, good comparison between studies and countries is difficult. This study investigates the impact of different operational definitions of numerators and denominators on incidence rates and prevalence proportions. METHODS: Data from routine electronic health records of general practices contributing to NIVEL Primary Care Database was used. Incidence rates were calculated using different denominators (person-years at-risk, person-years and midterm population). Three different prevalence proportions were determined: 1 year period prevalence proportions, point-prevalence proportions and contact prevalence proportions. RESULTS: One year period prevalence proportions were substantially higher than point-prevalence (58.3 - 206.6%) for long-lasting diseases, and one year period prevalence proportions were higher than contact prevalence proportions (26.2 - 79.7%). For incidence rates, the use of different denominators resulted in small differences between the different calculation methods (-1.3 - 14.8%). Using person-years at-risk or a midterm population resulted in higher rates compared to using person-years. CONCLUSIONS: All different operational definitions affect incidence rates and prevalence proportions to some extent. Therefore, it is important that the terminology and methodology is well described by sources reporting these epidemiological measures. When comparing incidence rates and prevalence proportions from different sources, it is important to be aware of the operational definitions applied and their impact. BioMed Central 2019-05-06 /pmc/articles/PMC6501456/ /pubmed/31060532 http://dx.doi.org/10.1186/s12889-019-6820-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Spronk, Inge
Korevaar, Joke C.
Poos, René
Davids, Rodrigo
Hilderink, Henk
Schellevis, François G.
Verheij, Robert A.
Nielen, Mark M. J.
Calculating incidence rates and prevalence proportions: not as simple as it seems
title Calculating incidence rates and prevalence proportions: not as simple as it seems
title_full Calculating incidence rates and prevalence proportions: not as simple as it seems
title_fullStr Calculating incidence rates and prevalence proportions: not as simple as it seems
title_full_unstemmed Calculating incidence rates and prevalence proportions: not as simple as it seems
title_short Calculating incidence rates and prevalence proportions: not as simple as it seems
title_sort calculating incidence rates and prevalence proportions: not as simple as it seems
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6501456/
https://www.ncbi.nlm.nih.gov/pubmed/31060532
http://dx.doi.org/10.1186/s12889-019-6820-3
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