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A novel approach to estimate the local population denominator to calculate disease incidence for hospital-based health events in England
While incidence studies based on hospitalisation counts are commonly used for public health decision-making, no standard methodology to define hospitals' catchment population exists. We conducted a review of all published community-acquired pneumonia studies in England indexed in PubMed and ass...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386789/ https://www.ncbi.nlm.nih.gov/pubmed/35811424 http://dx.doi.org/10.1017/S0950268822000917 |
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author | Campling, James Begier, Elizabeth Vyse, Andrew Hyams, Catherine Heaton, Dave Southern, Jo Finn, Adam Madhava, Harish Gessner, Bradford D. Ellsbury, Gillian |
author_facet | Campling, James Begier, Elizabeth Vyse, Andrew Hyams, Catherine Heaton, Dave Southern, Jo Finn, Adam Madhava, Harish Gessner, Bradford D. Ellsbury, Gillian |
author_sort | Campling, James |
collection | PubMed |
description | While incidence studies based on hospitalisation counts are commonly used for public health decision-making, no standard methodology to define hospitals' catchment population exists. We conducted a review of all published community-acquired pneumonia studies in England indexed in PubMed and assessed methods for determining denominators when calculating incidence in hospital-based surveillance studies. Denominators primarily were derived from census-based population estimates of local geographic boundaries and none attempted to determine denominators based on actual hospital access patterns in the community. We describe a new approach to accurately define population denominators based on historical patient healthcare utilisation data. This offers benefits over the more established methodologies which are dependent on assumptions regarding healthcare-seeking behaviour. Our new approach may be applicable to a wide range of health conditions and provides a framework to more accurately determine hospital catchment. This should increase the accuracy of disease incidence estimates based on hospitalised events, improving information available for public health decision making and service delivery planning. |
format | Online Article Text |
id | pubmed-9386789 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-93867892022-08-23 A novel approach to estimate the local population denominator to calculate disease incidence for hospital-based health events in England Campling, James Begier, Elizabeth Vyse, Andrew Hyams, Catherine Heaton, Dave Southern, Jo Finn, Adam Madhava, Harish Gessner, Bradford D. Ellsbury, Gillian Epidemiol Infect Original Paper While incidence studies based on hospitalisation counts are commonly used for public health decision-making, no standard methodology to define hospitals' catchment population exists. We conducted a review of all published community-acquired pneumonia studies in England indexed in PubMed and assessed methods for determining denominators when calculating incidence in hospital-based surveillance studies. Denominators primarily were derived from census-based population estimates of local geographic boundaries and none attempted to determine denominators based on actual hospital access patterns in the community. We describe a new approach to accurately define population denominators based on historical patient healthcare utilisation data. This offers benefits over the more established methodologies which are dependent on assumptions regarding healthcare-seeking behaviour. Our new approach may be applicable to a wide range of health conditions and provides a framework to more accurately determine hospital catchment. This should increase the accuracy of disease incidence estimates based on hospitalised events, improving information available for public health decision making and service delivery planning. Cambridge University Press 2022-07-11 /pmc/articles/PMC9386789/ /pubmed/35811424 http://dx.doi.org/10.1017/S0950268822000917 Text en © Open Health, University of Bristol, and Pfizer 2022 https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use and/or adaptation of the article. |
spellingShingle | Original Paper Campling, James Begier, Elizabeth Vyse, Andrew Hyams, Catherine Heaton, Dave Southern, Jo Finn, Adam Madhava, Harish Gessner, Bradford D. Ellsbury, Gillian A novel approach to estimate the local population denominator to calculate disease incidence for hospital-based health events in England |
title | A novel approach to estimate the local population denominator to calculate disease incidence for hospital-based health events in England |
title_full | A novel approach to estimate the local population denominator to calculate disease incidence for hospital-based health events in England |
title_fullStr | A novel approach to estimate the local population denominator to calculate disease incidence for hospital-based health events in England |
title_full_unstemmed | A novel approach to estimate the local population denominator to calculate disease incidence for hospital-based health events in England |
title_short | A novel approach to estimate the local population denominator to calculate disease incidence for hospital-based health events in England |
title_sort | novel approach to estimate the local population denominator to calculate disease incidence for hospital-based health events in england |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386789/ https://www.ncbi.nlm.nih.gov/pubmed/35811424 http://dx.doi.org/10.1017/S0950268822000917 |
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