Evidence map›Paper›PMID 37841488›Full record

ArticleJournal of the Korean Academy of Child and Adolescent Psychiatry2023

Systematic Review of Extended Reality Digital Therapy for Enhancing Mental Health Among South Korean Adolescents and Young Adults.

Serim Lee, Jiyoung Yoon, Yeonjee Cho, JongSerl Chun

Abstract read
In one paragraph

Article in Journal of the Korean Academy of Child and Adolescent Psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

4 authors.

Serim LeeDepartment of Social Welfare, Ewha Womans University, Seoul, Korea.ORCID 0000-0003-3051-6625
Jiyoung YoonDepartment of Social Welfare, Ewha Womans University, Seoul, Korea.ORCID 0000-0003-2621-0973
Yeonjee ChoDepartment of Social Welfare, Ewha Womans University, Seoul, Korea.ORCID 0000-0001-9308-2014
JongSerl ChunDepartment of Social Welfare, Ewha Womans University, Seoul, Korea.ORCID 0000-0001-8288-7140

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital therapy using extended reality (XR) holds great promise for addressing the mental health needs of adolescents and young adults. This study addresses a notable research gap in South Korea by systematically reviewing XR-based digital therapy for the mental health of South Korean adolescents and young adults. We analyzed 26 studies encompassing various aspects, including study type, publication date, research field, research methodology, data sources, program types, program content, sample characteristics, target population, assessment tools, and program effectiveness. Notably, 46.15% of the studies employed an experimental design, whereas over 53% utilized non-experimental approaches. Experimental studies lacked a genuine design, standardized questionnaires, and control variables. Similarly, non-experimental studies failed to report specific literature selection criteria. Consequently, future studies should adopt rigorous methodologies to enhance reliability and validity. Moreover, over 85% of the 26 studies focused solely on virtual reality and did not incorporate augmented or mixed reality. This study identifies the limitations of the previous research. These findings emphasize the need for structured investigations to advance the development of XR-based digital therapy to promote mental health in adolescents and young adults in South Korea.

Indexed as

AdolescentsAugmented realityMental healthMixed realitySouth KoreaVirtual realityYoung adults

Identifiers

PMID37841488
PMCPMC10568184

What OpenQuestion holds

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LicenceCC BY-NC
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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.