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Making mental health more accessible in light of COVID-19: Scalable digital health with digital navigators in low and middle-income countries.
Rodriguez-Villa, Elena; Naslund, John; Keshavan, Matcheri; Patel, Vikram; Torous, John.
  • Rodriguez-Villa E; Division of Digital Psychiatry at the Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States.
  • Naslund J; Harvard Medical School and Harvard T.H. Chan School of Public Health, Boston, MA, United States. Electronic address: jtorous@bidmc.harvard.edu.
  • Keshavan M; Division of Digital Psychiatry at the Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States.
  • Patel V; Harvard Medical School and Harvard T.H. Chan School of Public Health, Boston, MA, United States.
  • Torous J; Division of Digital Psychiatry at the Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States.
Asian J Psychiatr ; 54: 102433, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-912017
ABSTRACT
The rapid spread of COVID-19 and the devastating consequences to economies and healthcare systems around the world has highlighted the exigent need for accessible mental health support. Increasing use of mobile devices in Lower Middle-Income Countries (LMIC) such as India offers novel opportunity to expand treatment options and reach underserved populations. Prior efforts have utilized technology to redistribute or supplement clinical care but measurable outcomes of this research are limited. In this paper, we explain the structural barriers that prevent access to care and build on prior research to demonstrate how technology can be utilized to offer treatment if it is aided by education and technical support.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Mental Health / COVID-19 / Health Services Accessibility / Mental Disorders / Mental Health Services Type of study: Prognostic study / Qualitative research Limits: Humans Language: English Journal: Asian J Psychiatr Year: 2020 Document Type: Article Affiliation country: J.ajp.2020.102433

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Mental Health / COVID-19 / Health Services Accessibility / Mental Disorders / Mental Health Services Type of study: Prognostic study / Qualitative research Limits: Humans Language: English Journal: Asian J Psychiatr Year: 2020 Document Type: Article Affiliation country: J.ajp.2020.102433