Monitoring epidemiological trends in back to school asthma among preschool and school-aged children using real-time syndromic surveillance in England, 2012-2016

BACKGROUND : Back to school (BTS) asthma has been previously reported in children; however, its epidemiology and associated healthcare burden are unclear. We aimed to describe the timing and magnitude of BTS asthma using surveillance data from different health services in England. METHODS : Asthma m...

Full description

Bibliographic Details
Main Authors: Bundle, N, Verlander, N, Morbey, R, Edeghere, O, Balasegaram, S, de Lusignan, S, Smith, G, Elliot, A
Format: Journal article
Language:English
Published: BMJ Publishing Group 2019
_version_ 1797057760576143360
author Bundle, N
Verlander, N
Morbey, R
Edeghere, O
Balasegaram, S
de Lusignan, S
Smith, G
Elliot, A
author_facet Bundle, N
Verlander, N
Morbey, R
Edeghere, O
Balasegaram, S
de Lusignan, S
Smith, G
Elliot, A
author_sort Bundle, N
collection OXFORD
description BACKGROUND : Back to school (BTS) asthma has been previously reported in children; however, its epidemiology and associated healthcare burden are unclear. We aimed to describe the timing and magnitude of BTS asthma using surveillance data from different health services in England. METHODS : Asthma morbidity data from emergency department attendances and general practitioner (GP) consultations between April 2012 and December 2016 were used from national syndromic surveillance systems in England. Age-specific and sex-specific rates and time series of asthma peaks relative to school term dates were described. The timing of a BTS excess period and adjusted rates of asthma relative to a baseline period were estimated using cumulative sum control chart plots and negative binomial regression. RESULTS : BTS asthma among children aged below 15 years was most pronounced at the start of the school year in September. This effect was not present among those aged 15 years and above. After controlling for sex and study year, the adjusted daily rate of childhood GP in-hours asthma consultations was 2.5-3 times higher in the BTS excess period, with a significantly higher effect among children aged 0-4 years. A distinct age-specific pattern of sex differences in asthma presentations was present, with a higher burden among males in children and among females aged over 15 years. CONCLUSION: We found evidence of a BTS asthma peak in children using surveillance data across a range of healthcare systems, supporting the need for further preventative work to reduce the impact of BTS asthma in children.
first_indexed 2024-03-06T19:41:01Z
format Journal article
id oxford-uuid:20aaf125-a50d-4ebb-bf24-b471c4a55105
institution University of Oxford
language English
last_indexed 2024-03-06T19:41:01Z
publishDate 2019
publisher BMJ Publishing Group
record_format dspace
spelling oxford-uuid:20aaf125-a50d-4ebb-bf24-b471c4a551052022-03-26T11:28:52ZMonitoring epidemiological trends in back to school asthma among preschool and school-aged children using real-time syndromic surveillance in England, 2012-2016Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:20aaf125-a50d-4ebb-bf24-b471c4a55105EnglishSymplectic Elements at OxfordBMJ Publishing Group2019Bundle, NVerlander, NMorbey, REdeghere, OBalasegaram, Sde Lusignan, SSmith, GElliot, ABACKGROUND : Back to school (BTS) asthma has been previously reported in children; however, its epidemiology and associated healthcare burden are unclear. We aimed to describe the timing and magnitude of BTS asthma using surveillance data from different health services in England. METHODS : Asthma morbidity data from emergency department attendances and general practitioner (GP) consultations between April 2012 and December 2016 were used from national syndromic surveillance systems in England. Age-specific and sex-specific rates and time series of asthma peaks relative to school term dates were described. The timing of a BTS excess period and adjusted rates of asthma relative to a baseline period were estimated using cumulative sum control chart plots and negative binomial regression. RESULTS : BTS asthma among children aged below 15 years was most pronounced at the start of the school year in September. This effect was not present among those aged 15 years and above. After controlling for sex and study year, the adjusted daily rate of childhood GP in-hours asthma consultations was 2.5-3 times higher in the BTS excess period, with a significantly higher effect among children aged 0-4 years. A distinct age-specific pattern of sex differences in asthma presentations was present, with a higher burden among males in children and among females aged over 15 years. CONCLUSION: We found evidence of a BTS asthma peak in children using surveillance data across a range of healthcare systems, supporting the need for further preventative work to reduce the impact of BTS asthma in children.
spellingShingle Bundle, N
Verlander, N
Morbey, R
Edeghere, O
Balasegaram, S
de Lusignan, S
Smith, G
Elliot, A
Monitoring epidemiological trends in back to school asthma among preschool and school-aged children using real-time syndromic surveillance in England, 2012-2016
title Monitoring epidemiological trends in back to school asthma among preschool and school-aged children using real-time syndromic surveillance in England, 2012-2016
title_full Monitoring epidemiological trends in back to school asthma among preschool and school-aged children using real-time syndromic surveillance in England, 2012-2016
title_fullStr Monitoring epidemiological trends in back to school asthma among preschool and school-aged children using real-time syndromic surveillance in England, 2012-2016
title_full_unstemmed Monitoring epidemiological trends in back to school asthma among preschool and school-aged children using real-time syndromic surveillance in England, 2012-2016
title_short Monitoring epidemiological trends in back to school asthma among preschool and school-aged children using real-time syndromic surveillance in England, 2012-2016
title_sort monitoring epidemiological trends in back to school asthma among preschool and school aged children using real time syndromic surveillance in england 2012 2016
work_keys_str_mv AT bundlen monitoringepidemiologicaltrendsinbacktoschoolasthmaamongpreschoolandschoolagedchildrenusingrealtimesyndromicsurveillanceinengland20122016
AT verlandern monitoringepidemiologicaltrendsinbacktoschoolasthmaamongpreschoolandschoolagedchildrenusingrealtimesyndromicsurveillanceinengland20122016
AT morbeyr monitoringepidemiologicaltrendsinbacktoschoolasthmaamongpreschoolandschoolagedchildrenusingrealtimesyndromicsurveillanceinengland20122016
AT edeghereo monitoringepidemiologicaltrendsinbacktoschoolasthmaamongpreschoolandschoolagedchildrenusingrealtimesyndromicsurveillanceinengland20122016
AT balasegarams monitoringepidemiologicaltrendsinbacktoschoolasthmaamongpreschoolandschoolagedchildrenusingrealtimesyndromicsurveillanceinengland20122016
AT delusignans monitoringepidemiologicaltrendsinbacktoschoolasthmaamongpreschoolandschoolagedchildrenusingrealtimesyndromicsurveillanceinengland20122016
AT smithg monitoringepidemiologicaltrendsinbacktoschoolasthmaamongpreschoolandschoolagedchildrenusingrealtimesyndromicsurveillanceinengland20122016
AT elliota monitoringepidemiologicaltrendsinbacktoschoolasthmaamongpreschoolandschoolagedchildrenusingrealtimesyndromicsurveillanceinengland20122016