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Quantifying digital health inequality across a national healthcare system

OBJECTIVES: Digital health inequality, observed as differential utilisation of digital tools between population groups, has not previously been quantified in the National Health Service (NHS). Deployment of universal digital health interventions, including a national smartphone app and online primar...

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Autores principales: Zhang, Joe, Gallifant, Jack, Pierce, Robin L, Fordham, Aoife, Teo, James, Celi, Leo, Ashrafian, Hutan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10680008/
https://www.ncbi.nlm.nih.gov/pubmed/38007224
http://dx.doi.org/10.1136/bmjhci-2023-100809
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author Zhang, Joe
Gallifant, Jack
Pierce, Robin L
Fordham, Aoife
Teo, James
Celi, Leo
Ashrafian, Hutan
author_facet Zhang, Joe
Gallifant, Jack
Pierce, Robin L
Fordham, Aoife
Teo, James
Celi, Leo
Ashrafian, Hutan
author_sort Zhang, Joe
collection PubMed
description OBJECTIVES: Digital health inequality, observed as differential utilisation of digital tools between population groups, has not previously been quantified in the National Health Service (NHS). Deployment of universal digital health interventions, including a national smartphone app and online primary care services, allows measurement of digital inequality across a nation. We aimed to measure population factors associated with digital utilisation across 6356 primary care providers serving the population of England. METHODS: We used multivariable regression to test association of population and provider characteristics (including patient demographics, socioeconomic deprivation, disease burden, prescribing burden, geography and healthcare provider resource) with activation of two independent digital services during 2021/2022. RESULTS: We find a significant adjusted association between increased population deprivation and reduced digital utilisation across both interventions. Multivariable regression coefficients for most deprived quintiles correspond to 4.27 million patients across England where deprivation is associated with non-activation of the NHS App. CONCLUSION: Results are concerning for technologically driven widening of healthcare inequalities. Targeted incentive to digital is necessary to prevent digital disparity from becoming health outcomes disparity.
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spelling pubmed-106800082023-11-24 Quantifying digital health inequality across a national healthcare system Zhang, Joe Gallifant, Jack Pierce, Robin L Fordham, Aoife Teo, James Celi, Leo Ashrafian, Hutan BMJ Health Care Inform Short Report OBJECTIVES: Digital health inequality, observed as differential utilisation of digital tools between population groups, has not previously been quantified in the National Health Service (NHS). Deployment of universal digital health interventions, including a national smartphone app and online primary care services, allows measurement of digital inequality across a nation. We aimed to measure population factors associated with digital utilisation across 6356 primary care providers serving the population of England. METHODS: We used multivariable regression to test association of population and provider characteristics (including patient demographics, socioeconomic deprivation, disease burden, prescribing burden, geography and healthcare provider resource) with activation of two independent digital services during 2021/2022. RESULTS: We find a significant adjusted association between increased population deprivation and reduced digital utilisation across both interventions. Multivariable regression coefficients for most deprived quintiles correspond to 4.27 million patients across England where deprivation is associated with non-activation of the NHS App. CONCLUSION: Results are concerning for technologically driven widening of healthcare inequalities. Targeted incentive to digital is necessary to prevent digital disparity from becoming health outcomes disparity. BMJ Publishing Group 2023-11-24 /pmc/articles/PMC10680008/ /pubmed/38007224 http://dx.doi.org/10.1136/bmjhci-2023-100809 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Short Report
Zhang, Joe
Gallifant, Jack
Pierce, Robin L
Fordham, Aoife
Teo, James
Celi, Leo
Ashrafian, Hutan
Quantifying digital health inequality across a national healthcare system
title Quantifying digital health inequality across a national healthcare system
title_full Quantifying digital health inequality across a national healthcare system
title_fullStr Quantifying digital health inequality across a national healthcare system
title_full_unstemmed Quantifying digital health inequality across a national healthcare system
title_short Quantifying digital health inequality across a national healthcare system
title_sort quantifying digital health inequality across a national healthcare system
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10680008/
https://www.ncbi.nlm.nih.gov/pubmed/38007224
http://dx.doi.org/10.1136/bmjhci-2023-100809
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