Evidence map›Paper›PMID 41851661›Full record

ArticleBMC public health2026

MANTRA game analytics: effectiveness of educational mobile game on knowledge gain and retention of Female Community Health Volunteers (FCHVs) and women in rural Nepal assessed through game analytics.

Sonja Mueller, Katerina Stavrianaki, Andrei Boscor, Naomi Saville, Abriti Arjyal, Sushil C Baral, Maureen Fordham, Gareth Hearn, Patty Kostkova

Abstract read
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Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Sonja MuellerCentre for Digital Public Health in Emergencies (dPHE), Department of Risk and Disaster Reduction, University College London, Gower Street, London, WC1E 6BT, UK.
Katerina StavrianakiCentre for Digital Public Health in Emergencies (dPHE), Department of Risk and Disaster Reduction, University College London, Gower Street, London, WC1E 6BT, UK. k.stavrianaki@ucl.ac.uk.
Andrei BoscorCentre for Digital Public Health in Emergencies (dPHE), Department of Risk and Disaster Reduction, University College London, Gower Street, London, WC1E 6BT, UK.
Naomi SavilleInstitute for Global Health, University College London, 30 Guilford Street, London, WC1N 1EH, UK.
Abriti ArjyalHERD International NP, Lalitpur, 44600, Nepal.
Sushil C BaralHERD International NP, Lalitpur, 44600, Nepal.
Maureen FordhamCentre for Gender and Disaster, Department of Risk and Disaster Reduction, University College London, Gower Street, London, WC1E 6BT, UK.
Gareth HearnHearn GeoServe, Ltd, Worthing, UK.
Patty KostkovaCentre for Digital Public Health in Emergencies (dPHE), Department of Risk and Disaster Reduction, University College London, Gower Street, London, WC1E 6BT, UK.

Funding

Natural Environment Research Council NE/P016103/1
6 · The paper itself

Abstract

backgroundMobile technology can deliver public health interventions to reach remote populations such as unique mHealth interventions aimed at low-literacy audiences in low resource settings. This research study assessed a mobile phone-based serious game that teaches geohazard, maternal, and neonatal health messages. This study is part of the Maternal and Neonatal Technologies in Rural Areas (MANTRA) project: Increasing maternal and child health resilience before, during, and after disasters using mobile technology in Nepal.

methodWe develop a novel games analytics method assessing the knowledge gain and retention by the participants using the in-app collected session data of ordered player responses to game questions as they play and progress through the game. A full description of the study design can be found in (Mueller et al., BMC Public Health 20:1171, 2020). For each learning objective in each level we compare our observations (the data gathered from the players and coded as described above) and the expected frequencies (the number we would have seen as observed if the null hypothesis is true) with a chi – squared hypothesis test. Finally the test statistic is used to find the p value and compared to p = 0.05.

resultsKnowledge gain and retention above 25% was calculated for 7 of 30 learning objectives. Results indicate only knowledge gained, so players answering correctly throughout the game are not the focus. In the maternal health module, a p value of < 0.05 was calculated for five learning objectives in level 1 and no significant learning objectives in level 2. The neonatal module level 1 had four learning objectives with significant results, and level 2 had three. The geohazards module showed the lowest significant results of the three modules, with only two significant learning objectives in level 2.

conclusionsAnalyzing the MANTRA mobile health game data showed several successful learning objectives across the three modules of maternal health, neonatal health, and geohazards. Success implies the learning objectives and game help participants gain and retain knowledge, while other learning objectives can be targeted for redesign.

Indexed as

Community Health WorkersHealth EducationHealth Knowledge, Attitudes, PracticeVideo GamesVolunteersAdultData AnalyticsFemaleHumansNepalRural PopulationGame AnalyticsLMICsMaternal HealthMobile Health (mHealth)Neonatal HealthSerious Games

Identifiers

PMID41851661
PMCPMC13122922

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LicenceCC BY
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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.