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An introduction to digital determinants of health.

作者信息

Chidambaram Swathikan, Jain Bhav, Jain Urvish, Mwavu Rogers, Baru Rama, Thomas Beena, Greaves Felix, Jayakumar Shruti, Jain Pankaj, Rojo Marina, Battaglino Marina Ridao, Meara John G, Sounderajah Viknesh, Celi Leo Anthony, Darzi Ara

机构信息

Department of Surgery & Cancer, Imperial College London, St. Mary's Hospital, London, United Kingdom.

Institute of Global Health Innovation, Imperial College London, South Kensington Campus, London, United Kingdom.

出版信息

PLOS Digit Health. 2024 Jan 4;3(1):e0000346. doi: 10.1371/journal.pdig.0000346. eCollection 2024 Jan.


DOI:10.1371/journal.pdig.0000346
PMID:38175828
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10766177/
Abstract

In recent years, technology has been increasingly incorporated within healthcare for the provision of safe and efficient delivery of services. Although this can be attributed to the benefits that can be harnessed, digital technology has the potential to exacerbate and reinforce preexisting health disparities. Previous work has highlighted how sociodemographic, economic, and political factors affect individuals' interactions with digital health systems and are termed social determinants of health [SDOH]. But, there is a paucity of literature addressing how the intrinsic design, implementation, and use of technology interact with SDOH to influence health outcomes. Such interactions are termed digital determinants of health [DDOH]. This paper will, for the first time, propose a definition of DDOH and provide a conceptual model characterizing its influence on healthcare outcomes. Specifically, DDOH is implicit in the design of artificial intelligence systems, mobile phone applications, telemedicine, digital health literacy [DHL], and other forms of digital technology. A better appreciation of DDOH by the various stakeholders at the individual and societal levels can be channeled towards policies that are more digitally inclusive. In tandem with ongoing work to minimize the digital divide caused by existing SDOH, further work is necessary to recognize digital determinants as an important and distinct entity.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da8/10766177/8be96e547ad1/pdig.0000346.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da8/10766177/8be96e547ad1/pdig.0000346.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da8/10766177/8be96e547ad1/pdig.0000346.g001.jpg

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本文引用的文献

[1]
Racial and Ethnic Discrepancy in Pulse Oximetry and Delayed Identification of Treatment Eligibility Among Patients With COVID-19.

JAMA Intern Med. 2022-7-1

[2]
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BMJ Open. 2022-3-1

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Lancet Digit Health. 2021-11

[4]
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Lancet. 2021-11-6

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Nat Med. 2021-10

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Ethics of artificial intelligence in global health: Explainability, algorithmic bias and trust.

J Oral Biol Craniofac Res. 2021

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The Dahlgren-Whitehead model of health determinants: 30 years on and still chasing rainbows.

Public Health. 2021-10

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Annu Rev Biomed Data Sci. 2021-7

[9]
Mobile health and privacy: cross sectional study.

BMJ. 2021-6-16

[10]
Ensuring patient and public involvement in the transition to AI-assisted mental health care: A systematic scoping review and agenda for design justice.

Health Expect. 2021-8

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