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Developing a digital health strategy for people who use drugs: Lessons from COVID-19.
Perri, Melissa; Guta, Adrian; Gagnon, Marilou; Bonn, Matt; Leece, Pamela; Bayoumi, Ahmed M; Rai, Nanky; Touesnard, Natasha; Strike, Carol.
  • Perri M; Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
  • Guta A; MAP Center for Urban Health Solutions, St. Michael's Hospital, Toronto, Canada.
  • Gagnon M; School of Social Work, University of Windsor, Windsor, Canada.
  • Bonn M; Canadian Institute for Substance Use Research, Victoria, Canada.
  • Leece P; Canadian Association of People Who Use Drugs, Dartmouth, Canada.
  • Bayoumi AM; Canadian Students for Sensible Drug Policy, Ottawa, Canada.
  • Rai N; Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
  • Touesnard N; Public Health Ontario, Toronto, Canada.
  • Strike C; Department of Family and Community Medicine, University of Toronto Faculty of Medicine, Toronto, Canada.
Digit Health ; 7: 20552076211028404, 2021.
Article in English | MEDLINE | ID: covidwho-1311240
ABSTRACT
COVID-19 has significantly exacerbated negative health and social outcomes for people who use drugs (PWUD) around the world. The closure of harm reduction services, ongoing barriers to employment and housing, and pre-existing physical and mental health conditions have increased harms for diverse communities of PWUD. Adapting current models of health and human service delivery to better meet the needs of PWUD is essential in minimizing not only COVID-19 but also drug-related morbidity and mortality. This article draws on research, practice, and advocacy experiences, and discusses the potential for digital health tools such as remote monitoring and telecare to improve the continuum of care for PWUD. We call for a digital health strategy for PWUD and provide recommendations for future program development and implementation.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Qualitative research Language: English Journal: Digit Health Year: 2021 Document Type: Article Affiliation country: 20552076211028404

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Qualitative research Language: English Journal: Digit Health Year: 2021 Document Type: Article Affiliation country: 20552076211028404