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Tarbiat Modares University (TMU) is the owner of HEHP.
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Volume 14, Issue 1 (2026)
Geo Res 2026, 14(1): 1001-1012 |
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History
Received: 2025/12/1 | Accepted: 2025/12/24 | Published: 2025/11/19
Received: 2025/12/1 | Accepted: 2025/12/24 | Published: 2025/11/19
How to cite this article
Adaptation and Validation of MAUQ Instrument for Evaluation of Usability of Mommy-Be Application in Indonesia: A Pilot Study. Geo Res 2026; 14 (1) :1001-1012
URL: http://hehp.modares.ac.ir/article-4-83009-en.html
URL: http://hehp.modares.ac.ir/article-4-83009-en.html
Authors
Abstract (225 Views)
Aims: Mobile health [mHealth] applications have emerged as an effective approach to supporting maternal breastfeeding health. However, adopting these applications often faces challenges in terms of usability and user satisfaction. This study aims to adapt and validate the Malay language version of the Mobile Application Usability Questionnaire [MAUQ] instrument in the context of the Mommy-Be application in Indonesia.
Methods: This research method uses a descriptive quantitative design with a Confirmatory Factor Analysis [CFA] approach to test the validity of the instrument. Data was collected from 386 breastfeeding mothers from 400 invitations distributed via social media applications in each primary health service.
Findings: A total of 386 breastfeeding mothers in Makassar City, South Sulawesi, participated in a two-week application trial. The results of the first model test showed a CFI value of 0.548 and a TLI of 0.477, indicating a less-than-ideal model fit. After removing items with high Modification Indices [MI] values, the second model showed a significant improvement with a CFI of 0.972, a TLI of 0.966, and an RMSEA of 0.062.
Conclusion: These results highlight the importance of adapting instruments to the local context and technical conditions of the application. The results of this study are expected to support the development of health applications that are more in line with the needs of local users.
Methods: This research method uses a descriptive quantitative design with a Confirmatory Factor Analysis [CFA] approach to test the validity of the instrument. Data was collected from 386 breastfeeding mothers from 400 invitations distributed via social media applications in each primary health service.
Findings: A total of 386 breastfeeding mothers in Makassar City, South Sulawesi, participated in a two-week application trial. The results of the first model test showed a CFI value of 0.548 and a TLI of 0.477, indicating a less-than-ideal model fit. After removing items with high Modification Indices [MI] values, the second model showed a significant improvement with a CFI of 0.972, a TLI of 0.966, and an RMSEA of 0.062.
Conclusion: These results highlight the importance of adapting instruments to the local context and technical conditions of the application. The results of this study are expected to support the development of health applications that are more in line with the needs of local users.
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