ORIGINAL RESEARCH |
|
Year : 2022 | Volume
: 14
| Issue : 6 | Page : 561-565 |
|
Mobile application evaluation of the orthodontic treatment success and the degree of change based on the index of complexity, outcome, and need (ICON)
Arya Brahmanta, Noengki Prameswari, Budi Handayani, Meralda R Syahdinda, Faizah Hanum
Department of Orthodontics, Faculty of Dental Medicine, Universitas Hang Tuah, Surabaya, East Java, Indonesia
Correspondence Address:
Dr. Arya Brahmanta Department of Orthodontics, Faculty of Dental Medicine, Universitas Hang Tuah, Surabaya, East Java Indonesia
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/jioh.jioh_68_22
|
|
Aim: To evaluate the success of orthodontic treatment and the degree of change using the mobile application-based Index of Complexity, Outcome and Need (ICON) score calculation and also inquired the difference of ICON score in time calculation in the results of orthodontic treatment estimated using the mobile application-based method compared with the manual method. Materials and Methods: The present analytic observational study with a cross-sectional approach with a total sampling was performed using 31 pairs of study models in patients treated at the Orthodontic Department of Nala Husada Dental and Oral Hospital, Hang Tuah University, Surabaya, in 2020. The components calculated consisted of the treatment need, complexity assessment, treatment outcome, and the degree of change. The study model was estimated objectively alternating from employing the mobile application to the manual calculation; thus, the results of the calculation time were balanced. The data were analyzed by the independent t-test and Mann–Whitney test (P < 0.05). Results: The results revealed that the independent t-test significance values were P = 0.780 for care needs, P = 0.880 for the assessment of complexity, P = 0.745; P > 0.05 for the treatment outcome, and P = 0.903 for the degree of change. There was a significant difference between manual and mobile application calculation to examine ICON (P = 0.001). Conclusions: The calculation of ICON in the mobile application showed faster performance than the manual method that can be used to evaluate the orthodontics treatment need, complexity assessment, orthodontic treatment outcome, and the degree of change. |
|
|
|
[FULL TEXT] [PDF]* |
|
 |
|