Evidence map›Paper›PMID 39255015›Full record

SynthesisJMIR mental health2024

Digital Mental Health Interventions for Alleviating Depression and Anxiety During Psychotherapy Waiting Lists: Systematic Review.

Sijia Huang, Yiyue Wang, Gen Li, Brian J Hall, Thomas J Nyman

Erratum issuedAbstract readSystematic Review
In one paragraph

Synthesis in JMIR mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Sijia HuangFaculty of Arts and Sciences, New York University Shanghai, Shanghai, China.ORCID 0000-0001-9598-6949
Yiyue WangFaculty of Arts and Sciences, New York University Shanghai, Shanghai, China.ORCID 0000-0002-9017-4017
Gen LiCenter for Global Health Equity, New York University Shanghai, Shanghai, China.ORCID 0000-0002-9625-208X
Brian J HallCenter for Global Health Equity, New York University Shanghai, Shanghai, China.ORCID 0000-0001-9358-2377
Thomas J NymanFaculty of Arts and Sciences, New York University Shanghai, Shanghai, China.ORCID 0000-0002-6409-2528

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression and anxiety have become increasingly prevalent across the globe. The rising need for treatment and the lack of clinicians has resulted in prolonged waiting times for patients to receive their first session. Responding to this gap, digital mental health interventions (DMHIs) have been found effective in treating depression and anxiety and are potentially promising pretreatments for patients who are awaiting face-to-face psychotherapy. Nevertheless, whether digital interventions effectively alleviate symptoms for patients on waiting lists for face-to-face psychotherapy remains unclear.

objectiveThis review aimed to synthesize the effectiveness of DMHIs for relieving depression and anxiety symptoms of patients on waiting lists for face-to-face therapy. This review also investigated the features, perceived credibility, and usability of DMHIs during waiting times.

methodsIn this systematic review, we searched PubMed, PsycINFO, Cochrane, and Web of Science for research studies investigating the effectiveness of DMHIs in reducing either depression or anxiety symptoms among individuals waiting for face-to-face psychotherapy. The search was conducted in June 2024, and we have included the studies that met the inclusion criteria and were published before June 6, 2024.

resultsOf the 9267 unique records identified, 8 studies met the eligibility criteria and were included in the systematic review. Five studies were randomized controlled trials (RCTs), and 3 studies were not. Among the RCTs, we found that digital interventions reduced depression and anxiety symptoms, but the majority of interventions were not more effective compared to the control groups where participants simply waited or received a self-help book. For the non-RCTs, the interventions also reduced symptoms, but without control groups, the interpretation of the findings is limited. Finally, participants in the included studies perceived the digital interventions to be credible and useful, but high dropout rates raised concerns about treatment adherence.

conclusionsDue to the lack of effective interventions among the reviewed studies, especially among the RCTs, our results suggest that waiting list DMHIs are not more effective compared to simply waiting or using a self-help book. However, more high-quality RCTs with larger sample sizes are warranted in order to draw a more robust conclusion. Additionally, as this review revealed concerns regarding the high dropout rate in digital interventions, future studies could perhaps adopt more personalized and human-centered functions in interventions to increase user engagement, with the potential to increase treatment adherence and effectiveness.

Indexed as

AnxietyDepressionDigital HealthPsychotherapyWaiting ListsHumansTelemedicineanxietyanxiousdepresseddepressiondepressivedepressive disorderdigital healthdigital interventiondigital interventionsdigital mental healthdigital mental health interventiondigital mental health interventionsdigital technologyDMHIDMHIsmajor depressive disorderMDDmental diseasemental diseasesmental healthmental health interventionmental health interventionsmental illnessmental illnessesmood disorderself-guidanceself-guidedself-mediatedself-mediationsystematic reviewsystematic reviewstele-therapytherapywaiting listweb-based therapy

Identifiers

PMID39255015
PMCPMC11422735

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.