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Routen et al. AF Primary Care 2022.pdf (377.91 kB)

Variations in documentation of atrial fibrillation predicted by population and service level characteristics in primary health care in England

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posted on 2022-07-01, 10:15 authored by Ash Routen, Sophia Abner, Louis S Levene, Clare LL Gillies, Melanie Davies, Samuel Seidu, G Andre Ng, Kamlesh Khunti

Identifying features associated with atrial fibrillation (AF) documentation could inform screening. This study used published data to describe differences in documented and estimated AF prevalence in general practices, and explored predictors of variations in AF prevalence.Cross-sectional study of 7318 general practices in England. Descriptive and inferential statistics were undertaken. Multiple linear regression was used to model the difference between estimated AF and documented AF, adjusted for population, practice and practice performance variables.Documented AF prevalence was lower than estimated (- 0.55% 95% confidence intervals, -1.89, 2.99). The proportion of variability accounted for in the final regression model was 0.25. Factors positively associated with AF documentation (increase in difference between estimated and documented), were patients 65-74 years, 75 years +, Black or South Asian ethnicity, diabetes mellitus and practices in East and Midlands of England. Eight variables (female patients, deprivation score, heart failure and peripheral artery disease, total patients per practice, full-time GPs and nurses; and location in South of England) were negatively associated with AF documentation (reduction in difference).Variations in AF documentation were predicted by several practice and population characteristics. Screening could target these sources of variation to decrease variation and improve AF documentation.

Funding

KK and AR are supported by the National Institute for Health Research (NIHR) Applied Research Collaboration East Midlands (ARC EM). KK and MD are supported by NIHR Leicester Biomedical Research Centre (BRC).

History

Citation

Ash Routen, Sophia Abner, Louis S Levene, Clare L L Gillies, Melanie Davies, Samuel Seidu, G André Ng, Kamlesh Khunti, Variations in documentation of atrial fibrillation predicted by population and service level characteristics in primary health care in England, Journal of Public Health, 2022;, fdac009, https://doi.org/10.1093/pubmed/fdac009

Author affiliation

Diabetes Research Centre

Version

  • VoR (Version of Record)

Published in

Journal of Public Health

Pagination

fdac009

Publisher

Oxford University Press [University Publisher] Faculty of Public Health [Associate Organisation]

issn

1741-3842

eissn

1741-3850

Copyright date

2021

Available date

2022-02-14

Language

English

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