Evidence map›Paper›PMID 42343946›Full record

ArticleFrontiers in digital health2026

Crisis support teams' technological openness and learning attitudes toward the AI based virtual patient system

Sophie Kjerstin Mårtensson, Charlotte Hveem, Maurice Lamb, Rajna Knez

Abstract read
In one paragraph

Article in Frontiers in digital 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

4 authors.

Sophie Kjerstin MårtenssonSchool of Health Sciences, University of Skövde, Skövde, Sweden.
Charlotte HveemDepartment of Security, Sahlgrenska University Hospital, Gothenburg, Sweden.
Maurice LambSchool of Informatics, University of Skövde, Skövde, Sweden.
Rajna KnezSchool of Health Sciences, University of Skövde, Skövde, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Against the backdrop of escalating global humanitarian crises, innovative didactic simulations are becoming increasingly important. A promising alternative to traditional classroom-based didactics for learning psychological first aid (PFA) prior to humanitarian crises is to use generative artificial intelligence (GenAI)-based virtual patient (VP) systems. However, there is limited research on the use of GenAI-based VP systems for crisis support teams' learning. The aim of this study was to describe crisis support teams' technological openness and learning attitudes toward the GenAI-based VP system called Method: This study employed an action research design, originating from the collaboration with the innovation project Results: The participants felt generally positive about practicing PFA for serious events/humanitarian crises using the Discussion:

Indexed as

digital learninghumanitarian crisespsychological first aidvirtual patient simulationvirtual reality

Identifiers

PMID42343946
PMCPMC13288512

What OpenQuestion holds

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Registered trials

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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.