Evidence map›Paper›PMID 37047862›Full record

SynthesisInternational journal of environmental research and public health2023

Smartphone Apps for Domestic Violence Prevention: A Systematic Review.

Mehreen Sumra, Sohail Asghar, Khalid S Khan, Juan M Fernández-Luna, Juan F Huete, Aurora Bueno-Cavanillas

Registry-linked trialOpen access · goldAbstract readSystematic Review
In one paragraph

Synthesis in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07405528 (Camouflaged WeChat Mini-program-based Intervention for Women Victims of Intimate Partner Violence), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
7.9field-weighted citation impact, top 2% 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.

NCT07405528 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Camouflaged WeChat Mini-program-based Intervention for Women Victims of Intimate Partner Violence: Protocol for a Pilot Mixed Methods Study

TypeinterventionalSponsorThe University of Hong KongRan2026 to 2027Enrolled86ConditionsDomestic Violence, Mental Health Wellness 1ArmsWOMEN Health programme, Wait-list control group
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

6 authors at 2 institutions in 2 countries.

Mehreen SumraDepartment of Computer Science, COMSATS University Islamabad, Islamabad 45550, Pakistan.ORCID 0000-0002-4074-4296
Sohail AsgharDepartment of Computer Science, COMSATS University Islamabad, Islamabad 45550, Pakistan.
Khalid S KhanDepartment of Preventive Medicine and Public Health, University of Granada, 18071 Granada, Spain.ORCID 0000-0001-5084-7312
Juan M Fernández-LunaDepartment of Computer Science and Artificial Intelligence, University of Granada, 18071 Granada, Spain.
Juan F HueteDepartment of Computer Science and Artificial Intelligence, University of Granada, 18071 Granada, Spain.ORCID 0000-0002-9970-7705
Aurora Bueno-CavanillasDepartment of Preventive Medicine and Public Health, University of Granada, 18071 Granada, Spain.
Universidad de Granada · ESCOMSATS University Islamabad · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smartphone applications or apps are increasingly being produced to help with protection against the risk of domestic violence. There is a need to formally evaluate their features.

objectiveThis study systematically reviewed app-based interventions for domestic violence prevention, which will be helpful for app developers.

methodsWe overviewed all apps concerning domestic violence awareness and prevention without language restrictions, collating information about features and limitations. We conducted searches in Google, the Google Play Store, and the App Store (iOS) covering a 10-year time period (2012-2022). We collected data related to the apps from the developers' descriptions, peer reviewed research articles, critical reviews in blogs, news articles, and other online sources.

resultsThe search identified 621 potentially relevant apps of which 136 were selected for review. There were five app categories: emergency assistance (

conclusionsApps currently have many limitations. Future apps should focus on automation, making better use of artificial intelligence deploying multimedia (voice, video, image capture, text and sentiment analysis), speech recognition, and pitch detection to aid in live analysis of the situation and for accurately generating emergency alerts.

Indexed as

Domestic ViolenceMobile ApplicationsArtificial IntelligenceNorth AmericaSmartphonedomestic violenceintimate partner violencesmartphone appssystematic reviewviolence against womenviolence prevention

Identifiers

PMID37047862
PMCPMC10094623
OpenAlexW4360860514

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.