Evidence map›Paper›PMID 41696706›Full record

SynthesisFrontiers in public health2025

Help, near and far: a systematic review of post-COVID digital mental health solutions for domestic violence victims.

Ping Yu, Ping Zhu, Abdulswabul Kudiza, Francis Mungai Kaburu, Mehak Intizar, Chaojun Tong, Ruijie Zhang, Jianlin Jiang, Xin Yu, Qiang Kuang and 4 more

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

14 authors.

Ping YuSchool of Public Health, Southeast University, Nanjing, China.
Ping ZhuSchool of Public Health, Southeast University, Nanjing, China.
Abdulswabul KudizaSchool of Public Health, Southeast University, Nanjing, China.
Francis Mungai KaburuSchool of Public Health, Southeast University, Nanjing, China.
Mehak IntizarSchool of Public Health, Southeast University, Nanjing, China.
Chaojun TongSchool of Public Health, Southeast University, Nanjing, China.
Ruijie ZhangSchool of Public Health, Southeast University, Nanjing, China.
Jianlin JiangSchool of Public Health, Southeast University, Nanjing, China.
Xin YuSchool of Public Health, Southeast University, Nanjing, China.
Qiang KuangSchool of Public Health, Southeast University, Nanjing, China.
Ruru ChenSchool of Public Health, Southeast University, Nanjing, China.
Claudimar Pereira da VeigaFundação Dom Cabral - FDC, Nova Lima, Brazil.
Yu-Tao XiangUnit of Psychiatry, Department of Public Health and Medicinal Administration, University of Macau, Macao, Macao SAR, China.
Zhaohui SuSchool of Public Health, Southeast University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Domestic violence (DV), as a global pandemic, poses a significant challenge within the field of public health, gravely impacting the mental and physical health of victims. Modern digital technologies have been proposed as promising interventions for DV-related mental health problems. We therefore evaluated their effectiveness. Objective: To systematically review digital interventions targeting the mental health of DV survivors and to summarize implications for health professionals and policy makers. Methods: We searched PubMed, EBSCO, and Web of Science (January 1, 2020-April 23, 2024) following PRISMA guidelines. Two reviewers independently screened records, applied predefined eligibility criteria, and extracted data. Owing to heterogeneity, we performed a narrative synthesis. Meanwhile, based on the results of the literature review, this paper proposes a series of policy recommendations from a post-COVID-19 era perspective, integrating societal context and relevant policies. Results: Nine studies met the inclusion criteria. Three reported no significant mental-health benefits, whereas the remainder showed improvements in outcomes such as depression, anxiety, PTSD symptoms, emotion regulation, perceived support, or safety preparedness using tools including mobile apps, web-based programs, virtual reality, chatbots, and video adjuncts. Conclusion: Digital interventions show promise for improving mental-health outcomes among DV survivors, but their implementation requires attention to safety, engagement, cultural adaptation, and integration with offline services. Systematic review registration: PROSPERO, https://www.crd.york.ac.uk/PROSPERO/view/CRD42023488560.

Indexed as

COVID-19Crime VictimsDomestic ViolenceMental HealthSurvivorsDigital HealthDigital MediaHumansSARS-CoV-2digital interventionsdomestic violencemental healthpolicypost-COVID-19 era

Identifiers

PMID41696706
PMCPMC12903268

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.