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Digital disparities: designing telemedicine systems with a health equity aim.
Samuels-Kalow, Margaret; Jaffe, Todd; Zachrison, Kori.
  • Samuels-Kalow M; Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA msamuels-kalow@partners.org.
  • Jaffe T; Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Zachrison K; Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Emerg Med J ; 38(6): 474-476, 2021 Jun.
Article in English | MEDLINE | ID: covidwho-1120760
ABSTRACT
The use of telemedicine has grown immensely during the COVID-19 pandemic. Telemedicine provides a means to deliver clinical care while limiting patient and provider exposure to the COVID-19. As such, telemedicine is finding applications in a variety of clinical environments including primary care and the acute care setting and the array of patient populations who use telemedicine continues to grow. Yet as telehealth becomes ubiquitous, it is critical to consider its potential to exacerbate disparities in care. Challenges accessing technology and digital literacy, for example, disproportionately impact older patients and those living in poverty. When implemented with the consideration of health disparities, telemedicine provides an opportunity to address these inequities. This manuscript explores potential mechanisms by which telemedicine may play a role in exacerbating or ameliorating disparities in care. We further describe a framework and suggested strategies with which to implement telemedicine systems to improve health equity.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Telemedicine / Health Equity / Digital Divide Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Emerg Med J Journal subject: Emergency Medicine Year: 2021 Document Type: Article Affiliation country: Emermed-2020-210896

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Telemedicine / Health Equity / Digital Divide Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Emerg Med J Journal subject: Emergency Medicine Year: 2021 Document Type: Article Affiliation country: Emermed-2020-210896