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A multi-stakeholder approach is needed to reduce the digital divide and encourage equitable access to telehealth

Authors: Victor M Gallegos-Rejas; Emma E Thomas; Jaimon T Kelly; Anthony C Smith;

A multi-stakeholder approach is needed to reduce the digital divide and encourage equitable access to telehealth

Abstract

Since the COVID-19 pandemic onset, there has been exponential growth in the uptake of telehealth, globally. However, evidence suggests that people living in lower socioeconomic areas, cultural and linguistically diverse communities, people with disabilities, and with low health literacy are less likely to receive telehealth services. These population groups have disproportionately higher health needs and face additional barriers to healthcare access. Barriers that reduce access to telehealth further exacerbate existing gaps in care delivery. To improve equity of access to telehealth, we need to reduce the digital divide through a multi-stakeholder approach. This article proposes practical steps to reduce the digital divide and encourage equitable access to telehealth. Enabling more equitable access to telehealth requires improvements in digital health literacy, workforce training in clinical telehealth, co-design of new telehealth-enabled models of care, change management, advocacy for culturally appropriate services, and sustainable funding models.

Countries
Australia, Denmark
Keywords

stakeholders, Digital Divide, Health Services Accessibility, equity, access, digital divide, Information systems, Humans, Pandemics, Science & Technology, consumer, COVID-19, sustainability, Telemedicine, models of care, Health Care Sciences & Services, Telehealth, strategy, Biomedical engineering, Life Sciences & Biomedicine, policy

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    89
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
89
Top 1%
Top 10%
Top 1%
Green