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Development and usability testing of mobile application on diet and oral health.

ABSTRACT: In several nations, caries in pre-school children remain a significant oral health issue. In an outbreak period such as the Coronavirus disease 2019 (COVID-19), remote contact and education aimed at the prevention of oral diseases and the preservation of children's oral health are more relevant than ever. Currently, the amount of published applications is far higher than the published scientific studies while the problems of usability remains vulnerable. The goal of this paper was to comprehensively document the phase of development and usability testing of a mobile application for diet and oral health, namely Gigiku Sihat, which was primarily intended to be used by parents and guardians of pre-school children. The mobile application was developed using the System Development Life Cycle principle. Apart from searching for the available oral health application on Android platform, the initial requirement gathering process consisted of situational analysis, concept generation, content development, and features and functional requirement determination. The mobile application design and implementation evolved at each phase before being finalised. Gigiku Sihat was successfully developed in the Bahasa Malaysia. Finalised Gigiku Sihat was installed on mobile devices to determine the usability using translated and validated System Usability Scale questionnaire namely Skala Kebolehgunaan Aplikasi Mudah Alih (SKAMA). The mean score usability with score of 68 and above was deemed to have good usability. This study found that Gigiku Sihat mean (SD) usability score was 77.0 (14.18). The results were promising as they showed that Gigiku Sihat had a good usability. Thus, the development of this mobile application focusing on diet and oral health served as a new source of oral health education and provided a necessary foundation in developing future improved mobile application development for parents in the prevention of early childhood caries.

SUBMITTER: Akmal Muhamat N

PROVIDER: S-EPMC8425540 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundHigh blood pressure (hypertension) disproportionately affects African American/Black (Black) women. Previous research suggests that self-managing hypertension may be challenging, yet mobile applications (apps) can help to empower patients and increase medication adherence. We developed questions to test the usability of evaluating the WHISE (Wellness, Hypertension, Information Sharing, Self-Management, Education) mobile app for Black women with hypertension.MethodsFifteen participants completed usability testing; five were potential app users (Black women with hypertension); each invited two of their peers to participate. Each testing session (n=5) included a brief overview of the app, time for participants to complete surveys and have an active discussion about the app (concurrent and retrospective think-aloud, concurrent and retrospective probing, per usability.gov), and observation of participants' body language during the session. Testing sessions were designed to familiarize participants with the app's features and examine their navigating ability.ResultsThe app received overwhelmingly positive feedback, with 80% of participants finding it to be a valuable tool in hypertension management. Participants praised the app's user-friendliness and educational value, with one stating, 'It is a good educational piece for helping people manage hypertension, at least to understand its basics.' Another participant highlighted the potential for community support, saying, 'Having a community, having some people to be accountable, to check in with and see how things are going, could encourage and motivate people to be more diligent about managing their hypertension.' Some participants also provided constructive feedback, suggesting font size adjustments (73%) and color scheme changes (60%) for certain screens.ConclusionsBased on the feedback we received, we were able to mitigate the participants' concerns about font size and color and create tutorial videos to guide future users in using the app. We completed these changes prior to deploying the app in our randomized clinical controlled trial.

Project description:BackgroundThis study aimed to design a gamified smartphone application (app) and assess its efficacy for education of mothers regarding oral healthcare of their children.MethodsIn this pretest-posttest controlled clinical trial, a simple app and a gamified version of it were designed to enhance the oral health knowledge and practice of mothers. The app contains information about early childhood caries, health diet, sugars, baby-oral hygiene, fluoride effect, fluoride toothpaste, tooth-brushing training video and regular dental visits. The opinion of experts and 3 mothers were obtained and both apps were revised accordingly. The intervention was implemented on mothers of preschoolers referring to the specialty dental clinic of Tehran School of Dentistry in 2019. The mothers were randomly allocated to the simple app or gamified app group. Before the intervention, all mothers filled out a questionnaire regarding oral health knowledge and practice, and their demographics were collected. The plaque index (PI) of children was also measured. The mothers filled out the same questionnaire 1 month after the intervention, and the PI of children was measured again. Paired t test and linear regression model were used for statistical analysis of the data.ResultsTotally, 58 mother and child pairs entered the study; 40% of children were boys. The mean age of children was 4.7 ± 1.2 years. The mean knowledge score of mothers in the pretest was 10.5 and 11.3 in simple app and gamified app group, respectively, which changed to 13.1 and 14.3, respectively in the posttest. The mean practice score of mothers was 4.4 and 4.8 in simple app and gamified app groups, respectively in the pretest, which changed to 8.5 and 8, respectively in the posttest. The mean dental plaque index of children in the pretest was 0.8 and 1 in simple app and gamified app groups, respectively, which changed to 0.5 and 0.5, respectively in the posttest. Children had better Plaque control in gamified app group (P < 0.05).ConclusionAfter 1 month, both apps effectively improved the oral-health knowledge and practice of mothers while oral hygiene as a result of plaque control was superior in children of mothers using the gamified app. Trial registration IRCT, IRCT20131102015238N2. Registered 24 February 2019-Retrospectively registered, https://fa.irct.ir/trial/36600 .

Project description:BackgroundDental diseases can be prevented through the management of dental plaques. Dental plaque can be identified using the light-induced fluorescence (LIF) technique that emits light at 405 nm. The LIF technique is more convenient than the commercial technique using a disclosing agent, but the result may vary for each individual as it still requires visual identification.ObjectiveThe objective of this study is to introduce and validate a deep learning-based oral hygiene monitoring system that makes it easy to identify dental plaques at home.MethodsWe developed a LIF-based system consisting of a device that can visually identify dental plaques and a mobile app that displays the location and area of dental plaques on oral images. The mobile app is programmed to automatically determine the location and distribution of dental plaques using a deep learning-based algorithm and present the results to the user as time series data. The mobile app is also built with convergence of naive and web applications so that the algorithm is executed on a cloud server to efficiently distribute computing resources.ResultsThe location and distribution of users' dental plaques could be identified via the hand-held LIF device or mobile app. The color correction filter in the device was developed using a color mixing technique. The mobile app was built as a hybrid app combining the functionalities of a native application and a web application. Through the scrollable WebView on the mobile app, changes in the time series of dental plaque could be confirmed. The algorithm for dental plaque detection was implemented to run on Amazon Web Services for object detection by single shot multibox detector and instance segmentation by Mask region-based convolutional neural network.ConclusionsThis paper shows that the system can be used as a home oral care product for timely identification and management of dental plaques. In the future, it is expected that these products will significantly reduce the social costs associated with dental diseases.

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Development and usability testing of mobile application on diet and oral health.

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