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Predicting emergency departments visit rates from septicemia in Taiwan using an age–period–cohort model, 1998 to 2012

The aim of this study was to determine the age–period–cohort (APC) effects on the rate of infection-related emergency department (ED) visits from septicemia for predicting the same in recent periods. In our study, we investigated the longitudinal trends in septicemia-related visit rates. Using an AP...

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Autores principales: Tzeng, I-Shiang, Liu, Su-Hsun, Chiou, Yu Ting, Huang, Chien-Hsiung, Lee, Cheng-Jung, Chien, Cheng-Yu, Hsu, Shou-Chien, Weng, Yi-Ming, Chen, Kuan-Fu, Chen, Jih-Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5268041/
https://www.ncbi.nlm.nih.gov/pubmed/27977595
http://dx.doi.org/10.1097/MD.0000000000005598
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author Tzeng, I-Shiang
Liu, Su-Hsun
Chiou, Yu Ting
Huang, Chien-Hsiung
Lee, Cheng-Jung
Chien, Cheng-Yu
Hsu, Shou-Chien
Weng, Yi-Ming
Chen, Kuan-Fu
Chen, Jih-Chang
author_facet Tzeng, I-Shiang
Liu, Su-Hsun
Chiou, Yu Ting
Huang, Chien-Hsiung
Lee, Cheng-Jung
Chien, Cheng-Yu
Hsu, Shou-Chien
Weng, Yi-Ming
Chen, Kuan-Fu
Chen, Jih-Chang
author_sort Tzeng, I-Shiang
collection PubMed
description The aim of this study was to determine the age–period–cohort (APC) effects on the rate of infection-related emergency department (ED) visits from septicemia for predicting the same in recent periods. In our study, we investigated the longitudinal trends in septicemia-related visit rates. Using an APC model to decompose the septicemia visit rates into the effects of age, time period, and cohort, and examine whether their effects varied by sex. The septicemia ED visit rate was classified as the International Classification of Disease Code 038 by primary and secondary diagnosis between 1998 and 2012. In both males and females, the visit rate of septicemia showed an increase from 2003 through 2012. An increase in septicemia visit rate after 2003 was observed in all age groups. An APC model indicated a reversal increasing period effect, which increased prominently from 2003 to 2012 in both males and females. The age effect showed an increasing trend. The cohort effect tended to show a slight oscillation from 1913 to 1988. With reference to the prediction of the logarithms of the age-specific 5-year visit rates, we observed that the younger cohorts exhibited a slightly increasing trend, as compared to the older cohorts. The period effect can explain the increase in septicemia visit rates, suggesting the role of screening for septicemia. Furthermore, it is well known that aging is a relevant risk variable for infectious diseases. The present study concludes that the aged population exhibited a strong increasing future trend for septicemia-related ED visit rates.
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spelling pubmed-52680412017-02-07 Predicting emergency departments visit rates from septicemia in Taiwan using an age–period–cohort model, 1998 to 2012 Tzeng, I-Shiang Liu, Su-Hsun Chiou, Yu Ting Huang, Chien-Hsiung Lee, Cheng-Jung Chien, Cheng-Yu Hsu, Shou-Chien Weng, Yi-Ming Chen, Kuan-Fu Chen, Jih-Chang Medicine (Baltimore) 6600 The aim of this study was to determine the age–period–cohort (APC) effects on the rate of infection-related emergency department (ED) visits from septicemia for predicting the same in recent periods. In our study, we investigated the longitudinal trends in septicemia-related visit rates. Using an APC model to decompose the septicemia visit rates into the effects of age, time period, and cohort, and examine whether their effects varied by sex. The septicemia ED visit rate was classified as the International Classification of Disease Code 038 by primary and secondary diagnosis between 1998 and 2012. In both males and females, the visit rate of septicemia showed an increase from 2003 through 2012. An increase in septicemia visit rate after 2003 was observed in all age groups. An APC model indicated a reversal increasing period effect, which increased prominently from 2003 to 2012 in both males and females. The age effect showed an increasing trend. The cohort effect tended to show a slight oscillation from 1913 to 1988. With reference to the prediction of the logarithms of the age-specific 5-year visit rates, we observed that the younger cohorts exhibited a slightly increasing trend, as compared to the older cohorts. The period effect can explain the increase in septicemia visit rates, suggesting the role of screening for septicemia. Furthermore, it is well known that aging is a relevant risk variable for infectious diseases. The present study concludes that the aged population exhibited a strong increasing future trend for septicemia-related ED visit rates. Wolters Kluwer Health 2016-12-16 /pmc/articles/PMC5268041/ /pubmed/27977595 http://dx.doi.org/10.1097/MD.0000000000005598 Text en Copyright © 2016 the Author(s). Published by Wolters Kluwer Health, Inc. All rights reserved. http://creativecommons.org/licenses/by-nd/4.0 This is an open access article distributed under the Creative Commons Attribution-NoDerivatives License 4.0, which allows for redistribution, commercial and non-commercial, as long as it is passed along unchanged and in whole, with credit to the author. http://creativecommons.org/licenses/by-nd/4.0
spellingShingle 6600
Tzeng, I-Shiang
Liu, Su-Hsun
Chiou, Yu Ting
Huang, Chien-Hsiung
Lee, Cheng-Jung
Chien, Cheng-Yu
Hsu, Shou-Chien
Weng, Yi-Ming
Chen, Kuan-Fu
Chen, Jih-Chang
Predicting emergency departments visit rates from septicemia in Taiwan using an age–period–cohort model, 1998 to 2012
title Predicting emergency departments visit rates from septicemia in Taiwan using an age–period–cohort model, 1998 to 2012
title_full Predicting emergency departments visit rates from septicemia in Taiwan using an age–period–cohort model, 1998 to 2012
title_fullStr Predicting emergency departments visit rates from septicemia in Taiwan using an age–period–cohort model, 1998 to 2012
title_full_unstemmed Predicting emergency departments visit rates from septicemia in Taiwan using an age–period–cohort model, 1998 to 2012
title_short Predicting emergency departments visit rates from septicemia in Taiwan using an age–period–cohort model, 1998 to 2012
title_sort predicting emergency departments visit rates from septicemia in taiwan using an age–period–cohort model, 1998 to 2012
topic 6600
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5268041/
https://www.ncbi.nlm.nih.gov/pubmed/27977595
http://dx.doi.org/10.1097/MD.0000000000005598
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