Evidence map›Paper›PMID 36636865›Full record

ArticleJournal of interpersonal violence2023

The Effect of the Covid-19 Pandemic on Domestic Violence in Germany: A Comparison of Three Representative Population Surveys.

Sören Kliem, Alexandra von Thadden, Anna Lohmann, Christoph Kröger, Dirk Baier

Open access · greenAbstract read
In one paragraph

Article in Journal of interpersonal violence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Intimate Partner Violence Against Women in Burkina Faso During COVID-19: A Cross-Sectional Study.Inquiry : a journal of medical care organization, provision and financing
    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

5 authors at 3 institutions in 2 countries.

Sören KliemUniversity of Applied Science, Jena, Germany.ORCID 0000-0003-1788-9574
Alexandra von ThaddenUniversity of Hildesheim, Hildesheim, Germany.ORCID 0000-0001-6219-8495
Anna LohmannUniversity of Applied Science, Jena, Germany.
Christoph KrögerUniversity of Hildesheim, Hildesheim, Germany.
Dirk BaierZHAW Zurich University of Applied Sciences, Zurich, Switzerland.
Ernst Abbe University of Applied Sciences Jena · DEUniversity of Hildesheim · DEZHAW Zurich University of Applied Sciences · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has had profound societal and economic effects. Concerns were raised that domestic violence might increase because of the enacted infection control measures. Previous findings on this issue have been contradictory. Since existing studies mainly rely on official reports, administrative data, helpline calls, or retrospective measures, their findings are likely to prove unreliable. Few population-based surveys include pre-pandemic data, limiting their ability to test for causality regarding increasing violence. Therefore, the aim of this study was to compare findings from population-representative surveys on the prevalence of intimate partner violence (IPV) and violence against children (VAC) before and during the COVID-19 pandemic. Based on the data of

Indexed as

COVID-19Domestic ViolenceIntimate Partner ViolenceChildFemaleHumansMalePandemicsPrevalenceRetrospective Studiesassessmentchild abusedomestic violencemental health and violence

Identifiers

PMID36636865
PMCPMC9849116
OpenAlexW4315928573

What OpenQuestion holds

Textmetadata
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.