ABSTRACT
BACKGROUND: Despite the exponential growth of mobile device applications in promoting awareness on traumatic dental injuries (TDIs), the overall validity of existing applications in content, engagement, usability, functionality, esthetics, and user perception remains largely uncertain. AIMS: The primary aim was to systematically search and assess the quality, functionality, perceived impact and usability of available applications related to TDIs using the User Version of the Mobile Application Rating Scale (uMARS) and the Coventry, Aberdeen, and London-Revised (CA-LO-RE) scale. A heuristic evaluation was additionally performed. The secondary aim was to categorize existing mobile applications according to their target users, including general population, dentists, dental students, medical healthcare professionals, and researchers. METHODS: A systematic search for dental trauma applications (free and paid) was conducted using the AppStore and Google Play store. Two reviewers independently performed data extraction and quality assessment for all the included applications using uMARS and CA-LO-RE. A user experience architect conducted a heuristic evaluation. RESULTS: Only 6 of the 3061 initially screened applications were eligible for qualitative and quantitative assessments. These applications' average star uMARS rating was 12.5 (standard deviation [SD] 2.6). The mean and SD for the uMARS objective items were as follows: A-engagement (mean 12.1 [SD 3.3]), B-functionality (mean 15.5 [SD 1.4]), C-esthetics (mean 9.5 [SD 2.5]), and D-information (mean 13 [SD 4.5]). The severity rating for the heuristic evaluation criteria was low to moderate for all the included applications, excluding tooth emergencies with a high severity score. CONCLUSION: Despite moderate quality, functionality, user perception, behavioural impact and usability scores, the inclusion of advanced features to "engagement" and "usability" in existing trauma based apps will enhance their purpose. A design-thinking approach coupled with interactive features is recommended for future mobile applications on TDIs.
ABSTRACT
Sepiolite nanoclay needles have been selectively localized either in the natural rubber (NR) phase or in the carboxylated nitrile rubber (XNBR) phase of the XNBR/NR (50/50) blend prepared by the solution casting method. In a systematic manner, the role of the difference value between the interaction parameter of individual blend components (NR or XNBR)/solvent and the interaction parameter of sepiolite nanoclay/solvent in selectively localizing the sepiolite nanoclay to the NR phase or the XNBR phase of the XNBR/NR (50/50) blend has been explored. A higher percentage of sepiolite nanoclay resides in the dispersed NR phase when the difference value between the interaction parameter of NR/solvent and the interaction parameter of sepiolite nanoclay/solvent is lower than the difference value between the interaction parameter of XNBR/solvent and the interaction parameter of sepiolite nanoclay/solvent. On the other hand, a higher percentage of sepiolite nanoclay resides in the continuous XNBR phase when the difference value between the interaction parameter of XNBR/solvent and the interaction parameter of sepiolite nanoclay/solvent is lower than the difference value between the interaction parameter of NR/solvent and the interaction parameter of sepiolite nanoclay/solvent. It has been shown that by judiciously choosing different solvent combinations to prepare the blend and to disperse nanoclay, it is possible to fine-tune the difference value between the interaction parameter of individual blend components (NR or XNBR)/solvent and the interaction parameter of sepiolite nanoclay/solvent and dictate the selective localization of sepiolite nanoclay to the NR phase or the XNBR phase of XNBR/NR (50/50) blend. This study shows that it is possible to generate a rubber blend with controlled properties by selectively localizing needlelike sepiolite nanoclay in the dispersed phase or the continuous phase of the rubber blend prepared by the solution casting method.
