Opportunities From the Coronavirus Disease 2019 Pandemic for Transforming Psychiatric Care With Telehealth
Abstract
Telepsychiatry and the Coronavirus Disease 2019 Pandemic—Outcomes of Rapid Virtualization of Psychiatric Care
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Research suggests a positive response from both patients and clinicians with no clear harm to alliance documented.
“research suggests a positive response from both patients and clinicians with no clear harm to alliance documented [15].”
From Technology enabled clinical care (TECC): Protocol for a prospective longitudinal cohort study of smartphone-augmented mental health treatment (2021) · cites this paper as [15]
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References 11 · Cited by 167
- Authors
- Torous, J., & Wykes, T.
- Affiliations
- Beth Israel Deaconess Medical Center (US)
- King's College London (GB)
- Corresponding author
- Torous, John
- Venue
- JAMA Psychiatry
- Publisher
- American Medical Association (AMA)
- Published
- 2020-12-01
- Volume
- 77
- Issue
- 12
- Pages
- 1205
- ISSN
- 2168-622X (ISSN-L)
- OpenAlex
- W3023399464
- Cited by
- 167
- References
- 11
- Citations by year
- 2026: 7 · 2025: 12 · 2024: 21 · 2023: 18 · 2022: 24 · 2021: 64 · 2020: 21
- FWCI
- 23.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute for Health and Care Research (NF-SI-0514-10028)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
- Social Sciences › Psychology › Clinical Psychology › Psychiatric care and mental health services
- Keywords
- telepsychiatry, telemedicine, COVID-19 pandemic, psychiatric nursing, mental health services
- MeSH terms
- COVID-19, SARS-CoV-2, Mental Disorders, Humans, Psychiatry, Telemedicine, Pandemics
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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