Evidence map›Paper›PMID 42428143›Full record

ArticleJamba (Potchefstroom, South Africa)2026

Enhancing flood evacuation behaviour through Serious Disaster Game (SDG): Flood Alert!

Furqan I Aksa, Muhammad Ashar, Heni W Siswanto

Abstract read
In one paragraph

Article in Jamba (Potchefstroom, South Africa), 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.

Furqan I AksaDepartment of Geography Education, Faculty of Education, Universitas Samudra, Langsa, Indonesia.ORCID 0000-0001-5420-2810
Muhammad AsharDepartment of Informatic Engineering, Faculty of Engineering, Universitas Negeri Malang, Malang, Indonesia.ORCID 0000-0002-0997-7710
Heni W SiswantoCenter for Educational Research, Faculty of Social Sciences and Humanities Research Organization, National Research and Innovation Agency (BRIN) Republic of Indonesia, Jakarta, Indonesia.ORCID 0009-0008-2196-8551

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disaster education has been using a conventional module-based approach, which is only a one-way information transfer process. This research aims to develop and test the Serious Disaster Games (SDG): Flood Alert to improve flood evacuation behaviour and intrinsic motivation as measured by two indicators, namely knowledge about best evacuation practices and self-efficacy in dealing with flood emergencies. This research used a one-group pre-test-post-test design involving 45 students. The results showed that the SDG: Flood Alert effectively improved students' knowledge and self-efficacy about flood disasters. Most students were able to respond well to actions before, during and after a flood event. Students are confident that they can effectively respond during flooding emergencies. Students with high self-efficacy tend to take protective actions in the face of disasters. The result of the intrinsic motivation assessment found that students enjoy learning by using the SDG: Flood Alert! Contribution: This study contributed towards enhancement of students' knowledge regarding flood disasters. It was achieved by using the SDG: Flood Alert, which is designed using experiential learning cycle theory, and provides a fun learning experience for students. The SDG: Flood Alert has the potential to be used as a flood disaster learning media for students in flood-prone areas.

Indexed as

disasterdisaster gameevacuationfloodhazard

Identifiers

PMID42428143
PMCPMC13347691

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.