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Imported malaria in the UK, 2005 to 2016: Estimates from primary care electronic health records

OBJECTIVE: To investigate trends in the incidence of imported malaria in the UK between 2005 and 2016. DESIGN: Analysis of longitudinal electronic health records (EHRs) in The Health Improvement Network (THIN) primary care database. SETTING: UK primary care PARTICIPANTS: In total, we examined 12,349...

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Autores principales: Bastaki, Hamad, Marston, Louise, Cassell, Jackie, Rait, Greta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6312224/
https://www.ncbi.nlm.nih.gov/pubmed/30596782
http://dx.doi.org/10.1371/journal.pone.0210040
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author Bastaki, Hamad
Marston, Louise
Cassell, Jackie
Rait, Greta
author_facet Bastaki, Hamad
Marston, Louise
Cassell, Jackie
Rait, Greta
author_sort Bastaki, Hamad
collection PubMed
description OBJECTIVE: To investigate trends in the incidence of imported malaria in the UK between 2005 and 2016. DESIGN: Analysis of longitudinal electronic health records (EHRs) in The Health Improvement Network (THIN) primary care database. SETTING: UK primary care PARTICIPANTS: In total, we examined 12,349,003 individuals aged 0 to 99 years. OUTCOME MEASURE: The rate of malaria recordings in THIN was calculated per year between 2005 and 2016. Rate ratios exploring differences by age, sex, location of general practice, socioeconomic status and ethnicity were estimated using multivariable Poisson regression. RESULTS: A total of 1,474 individuals with a first diagnosis of malaria were identified in THIN between 2005 and 2016. The incidence of recorded malaria followed a decreasing trend dropping from a rate of 3.33 in 2005 to 1.36 cases per 100,000 person years at risk in 2016. Multivariable Poisson regression showed that adults of working age (20 to 69 years), men, those registered with a general practice in London, higher social deprivation and non-white ethnicity were associated with higher rates of malaria recordings. CONCLUSION: There has been a decrease in the number of malaria recordings in UK primary care over the past decade. This decrease exceeds the rate of decline reported in national surveillance data; however there are similar associations with age, sex and deprivation. Improved geographic information on the distribution of cases and the potential for automation of case identification suggests that EHRs could provide a complementary role for investigating malaria trends over time.
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spelling pubmed-63122242019-01-08 Imported malaria in the UK, 2005 to 2016: Estimates from primary care electronic health records Bastaki, Hamad Marston, Louise Cassell, Jackie Rait, Greta PLoS One Research Article OBJECTIVE: To investigate trends in the incidence of imported malaria in the UK between 2005 and 2016. DESIGN: Analysis of longitudinal electronic health records (EHRs) in The Health Improvement Network (THIN) primary care database. SETTING: UK primary care PARTICIPANTS: In total, we examined 12,349,003 individuals aged 0 to 99 years. OUTCOME MEASURE: The rate of malaria recordings in THIN was calculated per year between 2005 and 2016. Rate ratios exploring differences by age, sex, location of general practice, socioeconomic status and ethnicity were estimated using multivariable Poisson regression. RESULTS: A total of 1,474 individuals with a first diagnosis of malaria were identified in THIN between 2005 and 2016. The incidence of recorded malaria followed a decreasing trend dropping from a rate of 3.33 in 2005 to 1.36 cases per 100,000 person years at risk in 2016. Multivariable Poisson regression showed that adults of working age (20 to 69 years), men, those registered with a general practice in London, higher social deprivation and non-white ethnicity were associated with higher rates of malaria recordings. CONCLUSION: There has been a decrease in the number of malaria recordings in UK primary care over the past decade. This decrease exceeds the rate of decline reported in national surveillance data; however there are similar associations with age, sex and deprivation. Improved geographic information on the distribution of cases and the potential for automation of case identification suggests that EHRs could provide a complementary role for investigating malaria trends over time. Public Library of Science 2018-12-31 /pmc/articles/PMC6312224/ /pubmed/30596782 http://dx.doi.org/10.1371/journal.pone.0210040 Text en © 2018 Bastaki et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bastaki, Hamad
Marston, Louise
Cassell, Jackie
Rait, Greta
Imported malaria in the UK, 2005 to 2016: Estimates from primary care electronic health records
title Imported malaria in the UK, 2005 to 2016: Estimates from primary care electronic health records
title_full Imported malaria in the UK, 2005 to 2016: Estimates from primary care electronic health records
title_fullStr Imported malaria in the UK, 2005 to 2016: Estimates from primary care electronic health records
title_full_unstemmed Imported malaria in the UK, 2005 to 2016: Estimates from primary care electronic health records
title_short Imported malaria in the UK, 2005 to 2016: Estimates from primary care electronic health records
title_sort imported malaria in the uk, 2005 to 2016: estimates from primary care electronic health records
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6312224/
https://www.ncbi.nlm.nih.gov/pubmed/30596782
http://dx.doi.org/10.1371/journal.pone.0210040
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