The Efficacy of the Gingivimil Android Application on the Knowledge, Attitudes, and Dental Health Practices of Expectant Mothers

Background: Pregnancy leads to hormonal changes that can affect oral health, making women more prone to gum disease and tooth decay. Despite this, many pregnant women do not visit the dentist regularly. Using digital apps to provide education could be a new and effective way to address this issue. Objective: To assess how well the Gingivimil Android app improves the knowledge, attitudes, and practices related to dental health among pregnant women. Methods: The research development process included five stages: collecting information, designing the app, getting expert approval, conducting product trials, and creating the final product. A total of fifty pregnant women took part in the study, with twenty-five assigned to the intervention group, who used the Gingivimil app, and twenty-five in the control group, who received information through leaflets. The data was analyzed using the Shapiro-Wilk test, the Mann-Whitney U test, and the independent t-test. Results: Expert validation indicated that the application achieved a feasibility score of 88%, which falls within the very feasible category. The difference test revealed a statistically significant improvement in the intervention group compared to the control group: knowledge scores increased from 64.64 ± 8.67 to 80.40 ± 7.85 (p < 0.05). Conclusion: The Gingivimil app is effective in enhancing the knowledge, attitude, and behavior of pregnant women regarding the maintenance of dental and oral health. This app has the potential to be incorporated into antenatal care services.

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Publication Details

Published
2025-11-12
DOI
https://doi.org/10.38124/ijisrt/25nov115
Primary Topic
Mobile Health and mHealth Applications
Type
article
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article

The Efficacy of the Gingivimil Android Application on the Knowledge, Attitudes, and Dental Health Practices of Expectant Mothers

Sukini Sukini, Widia Susanti, Suwarsono Suwarsono, Endah Suprihatin et al.
Mobile Health and mHealth Applications
article

The Efficacy of the Gingivimil Android Application on the Knowledge, Attitudes, and Dental Health Practices of Expectant Mothers

Sukini Sukini, Widia Susanti, Suwarsono Suwarsono, Endah Suprihatin, Wahyu Jati Dyah Utami, Betty Saptiwi
article en

Abstract

Background: Pregnancy leads to hormonal changes that can affect oral health, making women more prone to gum disease and tooth decay. Despite this, many pregnant women do not visit the dentist regularly. Using digital apps to provide education could be a new and effective way to address this issue. Objective: To assess how well the Gingivimil Android app improves the knowledge, attitudes, and practices related to dental health among pregnant women. Methods: The research development process included five stages: collecting information, designing the app, getting expert approval, conducting product trials, and creating the final product. A total of fifty pregnant women took part in the study, with twenty-five assigned to the intervention group, who used the Gingivimil app, and twenty-five in the control group, who received information through leaflets. The data was analyzed using the Shapiro-Wilk test, the Mann-Whitney U test, and the independent t-test. Results: Expert validation indicated that the application achieved a feasibility score of 88%, which falls within the very feasible category. The difference test revealed a statistically significant improvement in the intervention group compared to the control group: knowledge scores increased from 64.64 ± 8.67 to 80.40 ± 7.85 (p < 0.05). Conclusion: The Gingivimil app is effective in enhancing the knowledge, attitude, and behavior of pregnant women regarding the maintenance of dental and oral health. This app has the potential to be incorporated into antenatal care services.

Openalex Percentile: Top 49%
Mobile Health and mHealth Applications
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The Efficacy of the Gingivimil Android Application on the Knowledge, Attitudes, and Dental Health Practices of Expectant Mothers — Sukini Sukini, Widia Susanti, et al. · (2025) | TGRS Research Map | TGRS