MANTRA: Improving Knowledge of Maternal Health, Neonatal Health, and Geohazards in Women in Rural Nepal Using a Mobile Serious Game.

digital health intervention educational game interdisciplinary research knowledge assessment mobile learning serious game serious mobile game user evaluation

Journal

Frontiers in public health
ISSN: 2296-2565
Titre abrégé: Front Public Health
Pays: Switzerland
ID NLM: 101616579

Informations de publication

Date de publication:
2020
Historique:
received: 17 07 2020
accepted: 19 11 2020
entrez: 28 12 2020
pubmed: 29 12 2020
medline: 15 5 2021
Statut: epublish

Résumé

Serious games, conveying educational knowledge rather than merely entertainment, are a rapidly expanding research domain for cutting-edge educational technology. Digital interventions like serious games are great opportunities to overcome challenges in low-and-middle-income countries that limit access to health information, such as social barriers like low-literacy and gender. MANTRA: Increasing maternal and child health resilience before, during and after disasters using mobile technology in Nepal takes on these challenges with a novel digital health intervention; a serious mobile game aimed at vulnerable low-literacy female audiences in rural Nepal. The serious game teaches 28 learning objectives of danger signs in geohazards, maternal, and neonatal health to improve knowledge and self-assessment of common conditions and risks to inform healthcare-seeking behavior. Evaluations consisted of recruiting 35 end users to participate in a pre-test assessment, playing the game, post-test assessment, and focus groups to elicit qualitative feedback. Assessments analyzed knowledge gain in two ways; by learning objective with McNemar tests for each learning objective, and by participant scores with paired

Identifiants

pubmed: 33363082
doi: 10.3389/fpubh.2020.584375
pmc: PMC7759478
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

584375

Informations de copyright

Copyright © 2020 Mueller, Soriano, Boscor, Saville, Arjyal, Baral, Fordham, Hearn, Kayastha and Kostkova.

Déclaration de conflit d'intérêts

GH was employed by the company Hearn Geoserve, Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Sonja Mueller (S)

Institute for Risk and Disaster Reduction, University College London, London, United Kingdom.
Institute for Risk and Disaster Reduction Centre for Digital Public Health in Emergencies (dPHE), University College London, London, United Kingdom.

Delphine Soriano (D)

Institute for Risk and Disaster Reduction, University College London, London, United Kingdom.
Institute for Risk and Disaster Reduction Centre for Digital Public Health in Emergencies (dPHE), University College London, London, United Kingdom.

Andrei Boscor (A)

Institute for Risk and Disaster Reduction, University College London, London, United Kingdom.
Institute for Risk and Disaster Reduction Centre for Digital Public Health in Emergencies (dPHE), University College London, London, United Kingdom.

Naomi M Saville (NM)

Institute for Global Health, University College London, London, United Kingdom.

Abriti Arjyal (A)

Health Research and Social Development Forum, Kathmandu, Nepal.

Sushil Baral (S)

Health Research and Social Development Forum, Kathmandu, Nepal.

Maureen Fordham (M)

Institute for Risk and Disaster Reduction, University College London, London, United Kingdom.
Institute for Risk and Disaster Reduction Centre for Gender and Disaster, University College London, London, United Kingdom.

Gareth Hearn (G)

Hearn GeoServe Ltd., Worthing, United Kingdom.

Rachya Kayastha (R)

Institute for Risk and Disaster Reduction, University College London, London, United Kingdom.
Institute for Global Health, University College London, London, United Kingdom.

Patty Kostkova (P)

Institute for Risk and Disaster Reduction, University College London, London, United Kingdom.
Institute for Risk and Disaster Reduction Centre for Digital Public Health in Emergencies (dPHE), University College London, London, United Kingdom.

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Classifications MeSH