Efficacy of Virtual Care for Depressive Disorders: Systematic Review and Meta-analysis.

dc.contributor.author

Schiller, Crystal Edler

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Prim, Julianna

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Bauer, Anna E

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Lux, Linda

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Lundegard, Laura Claire

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Kang, Michelle

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Hellberg, Samantha

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Thompson, Katherine

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Webber, Theresa

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Teklezghi, Adonay

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Pettee, Noah

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Gaffney, Katherine

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Hodgins, Gabrielle

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Rahman, Fariha

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Steinsiek, J Nikki

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Modi, Anita

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Gaynes, Bradley N

dc.date.accessioned

2026-07-02T19:51:26Z

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2026-07-02T19:51:26Z

dc.date.issued

2023-01

dc.description.abstract

Background

The COVID-19 pandemic has created an epidemic of distress-related mental disorders such as depression, while simultaneously necessitating a shift to virtual domains of mental health care; yet, the evidence to support the use of virtual interventions is unclear.

Objective

The purpose of this study was to evaluate the efficacy of virtual interventions for depressive disorders by addressing three key questions: (1) Does virtual intervention provide better outcomes than no treatment or other control conditions (ie, waitlist, treatment as usual [TAU], or attention control)? (2) Does in-person intervention provide better outcomes than virtual intervention? (3) Does one type of virtual intervention provide better outcomes than another?

Methods

We searched the PubMed, EMBASE, and PsycINFO databases for trials published from January 1, 2010, to October 30, 2021. We included randomized controlled trials of adults with depressive disorders that tested a virtual intervention and used a validated depression measure. Primary outcomes were defined as remission (ie, no longer meeting the clinical cutoff for depression), response (ie, a clinically significant reduction in depressive symptoms), and depression severity at posttreatment. Two researchers independently selected studies and extracted data using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Risk of bias was evaluated based on Agency for Healthcare and Research Quality guidelines. We calculated odds ratios (ORs) for binary outcomes and standardized mean differences (SMDs) for continuous outcomes.

Results

We identified 3797 references, 24 of which were eligible. Compared with waitlist, virtual intervention had higher odds of remission (OR 10.30, 95% CI 5.70-18.60; N=619 patients) and lower posttreatment symptom severity (SMD 0.81, 95% CI 0.52-1.10; N=1071). Compared with TAU and virtual attention control conditions, virtual intervention had higher odds of remission (OR 2.27, 95% CI 1.10-3.35; N=512) and lower posttreatment symptom severity (SMD 0.25, 95% CI 0.09-0.42; N=573). In-person intervention outcomes were not significantly different from virtual intervention outcomes (eg, remission OR 0.84, CI 0.51-1.37; N=789). No eligible studies directly compared one active virtual intervention to another.

Conclusions

Virtual interventions were efficacious compared with control conditions, including waitlist control, TAU, and attention control. Although the number of studies was relatively small, the strength of evidence was moderate that in-person interventions did not yield significantly better outcomes than virtual interventions for depressive disorders.
dc.identifier

v10i1e38955

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2368-7959

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2368-7959

dc.identifier.uri

https://hdl.handle.net/10161/34928

dc.language

eng

dc.publisher

JMIR Publications Inc.

dc.relation.ispartof

JMIR mental health

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10.2196/38955

dc.rights.uri

https://creativecommons.org/licenses/by-nc/4.0

dc.subject

depression

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depressive disorder

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digital health

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digital intervention

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digital mental health

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eHealth

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efficacy

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health intervention

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health outcome

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mental health

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meta-analysis

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review

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therapy

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treatment

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virtual

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virtual care

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virtual intervention

dc.title

Efficacy of Virtual Care for Depressive Disorders: Systematic Review and Meta-analysis.

dc.type

Journal article

duke.contributor.orcid

Rahman, Fariha|0000-0001-6541-9003

pubs.begin-page

e38955

pubs.organisational-group

Duke

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School of Medicine

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Staff

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Basic Science Departments

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Molecular Genetics and Microbiology

pubs.publication-status

Published

pubs.volume

10

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