Evidence map›Paper›PMID 42529182›Full record

ArticleFrontiers in public health2026

Preferences for training on mandatory reporting of intimate partner violence among healthcare professionals: a Norwegian cross-sectional study.

Veronica Kvalen Pilskog, John C Besley, Thea Beate Brevik

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Veronica Kvalen PilskogDepartment of Communication, Volda University College, Volda, Norway.
John C BesleyCollege of Communication Arts and Sciences, Michigan State University, East Lansing, MI, United States.
Thea Beate BrevikFaculty of Health Sciences and Social Care, Molde University College, Molde, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Training healthcare professionals to recognize and respond to intimate partner violence (IPV) is an important component of health system responses to violence. However, little research has explored how healthcare professionals prefer such training to be delivered. Objectives: This study explored healthcare professionals' preferences for training modalities on mandatory reporting of IPV and the associations between participant characteristics and preferred training modalities. Materials and methods: A cross-sectional survey was conducted between May and September 2025 ( Results: In-person meetings, courses, and workshops were the most frequently preferred training formats (62%), followed by e-learning (54%) and digital meetings and webinars (44%). Greater perceived time constraints were associated with a stronger preference for digital training formats. Less experienced professionals were more likely to prefer video-based and e-learning formats. Physicians and healthcare workers were less likely to prefer in-person training. Conclusion: Healthcare professionals' preferences for training modalities on mandatory reporting of IPV vary across professional and contextual factors. Flexible and multimodal training strategies may increase participation and engagement in such training.

Indexed as

Attitude of Health PersonnelHealth PersonnelIntimate Partner ViolenceMandatory ReportingAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedNorwaySurveys and Questionnairesdomestic violenceduty to reportintimate partner violencemandatory reportingtraining

Identifiers

PMID42529182
PMCPMC13416097

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.