Evidence map›Paper›PMID 36939820›Full record

ReviewJMIR mental health2023

Effectiveness of Digital Mental Health Tools to Reduce Depressive and Anxiety Symptoms in Low- and Middle-Income Countries: Systematic Review and Meta-analysis.

Jiyeong Kim, Lois M D Aryee, Heejung Bang, Steffi Prajogo, Yong K Choi, Jeffrey S Hoch, Elizabeth L Prado

Open access · goldAbstract readReview
In one paragraph

Review in JMIR mental health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 4 pooled it
12.6field-weighted citation impact, top 1% of its field
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

39 citing papers in PubMed, 4 syntheses or guidelines pooled it, 64 citations in OpenAlex.

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  12. Global Disparities in Teletherapy Adoption: A Cross-Income Analysis of Mental Health Access.International journal of environmental research and public health · 2026
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  13. Innovations to improve outcomes and uptake of psychotherapies for mental disorders: a state-of-the-art review.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Jiyeong KimDepartment of Public Health Sciences, School of Medicine, University of California, Davis, Davis, CA, United States.ORCID https://orcid.org/0000-0002-2869-5751
Lois M D AryeeDepartment of Nutrition and Food Science, University of Ghana, Accra, Ghana.ORCID https://orcid.org/0000-0003-2016-1955
Heejung BangDivision of Biostatistics, Department of Public Health Sciences, School of Medicine, University of California, Davis, Davis, CA, United States.ORCID https://orcid.org/0000-0002-5755-9951
Steffi PrajogoJohns Hopkins Bayview Medical Center, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-6945-9456
Yong K ChoiDepartment of Health Information Management, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0001-7882-4358
Jeffrey S HochDivision of Health Policy and Management, Department of Public Health Sciences, School of Medicine, University of California, Davis, Davis, CA, United States.ORCID https://orcid.org/0000-0002-4880-4281
Elizabeth L PradoDepartment of Nutrition, Institute for Global Nutrition, University of California, Davis, Davis, CA, United States.ORCID https://orcid.org/0000-0002-5388-081X
University of California, Davis · USJohns Hopkins University · USUniversity of Ghana · GHUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression and anxiety contribute to an estimated 74.6 million years of life with disability, and 80% of this burden occurs in low- and middle-income countries (LMICs), where there is a large gap in care.

objectiveWe aimed to systematically synthesize available evidence and quantify the effectiveness of digital mental health interventions in reducing depression and anxiety in LMICs.

methodsIn this systematic review and meta-analysis, we searched PubMed, Embase, and Cochrane databases from the inception date to February 2022. We included randomized controlled trials conducted in LMICs that compared groups that received digital health interventions with controls (active control, treatment as usual, or no intervention) on depression or anxiety symptoms. Two reviewers independently extracted summary data reported in the papers and performed study quality assessments. The outcomes were postintervention measures of depression or anxiety symptoms (Hedges g). We calculated the pooled effect size weighted by inverse variance.

resultsAmong 11,196 retrieved records, we included 80 studies in the meta-analysis (12,070 participants n=6052, 50.14% in the intervention group and n=6018, 49.85% in the control group) and 96 studies in the systematic review. The pooled effect sizes were -0.61 (95% CI -0.78 to -0.44; n=67 comparisons) for depression and -0.73 (95% CI -0.93 to -0.53; n=65 comparisons) for anxiety, indicating that digital health intervention groups had lower postintervention depression and anxiety symptoms compared with controls. Although heterogeneity was considerable (I

conclusionsDigital mental health tools are moderately to highly effective in reducing depression and anxiety symptoms in LMICs. Thus, they could be effective options to close the gap in depression and anxiety care in LMICs, where the usual mental health care is minimal.

trial registrationPROSPERO CRD42021289709; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=289709.

Indexed as

anxietydepressiondigital healthdigital mental healthlow- and middle-income countrymHealthmobile healthmobile phone

Identifiers

PMID36939820
PMCPMC10131603
OpenAlexW4318538021

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.