CC BY 4.0 · Eur J Dent 2023; 17(04): 1283-1288
DOI: 10.1055/s-0042-1760302
Original Article

Preferences and Satisfaction Toward an Orthodontic Clinical App

1   Department of Advanced General Dentistry, Faculty of Dentistry, Mahidol University, Thailand
,
Praeopailin Witayabusarakhum
2   Dentist, Computer Scientist, Bangkok, Thailand
,
Oranut Jearnsujitwimon
1   Department of Advanced General Dentistry, Faculty of Dentistry, Mahidol University, Thailand
,
Somchai Manopatanakul
1   Department of Advanced General Dentistry, Faculty of Dentistry, Mahidol University, Thailand
› Institutsangaben

Abstract

Objectives To promote the development of professional orthodontic apps and to grow app engagement, many contributing factors should first be scrutinized. The main purpose of this research was to assess whether gap analysis facilitates strategic app design.

Materials and Methods Gap analysis was first conducted to reveal users' preferences. Then, the OrthoAnalysis app was developed on an Android operating system using Java programming language. Finally, a self-administered survey was issued to 128 orthodontic specialists to assess their satisfaction toward usage of the app.

Statistical Analysis The content validity of the questionnaire was ascertained using an index of Item-Objective Congruence of more than 0.5. The reliability of the questionnaire was also analyzed with Cronbach's Alpha reliability coefficient (ɑ = 0.87).

Results Besides the most important factor, “content,” many issues were listed, and all were required to engage users. A strong and engaging app should show accurate, trustworthy, and practical clinical analysis that operates smoothly and fast with ease, along with a user-friendly, appealing, and trustworthy interface. In short, because of the preliminary gap analysis that was done to evaluate the potential app engagement power prior to app design, the result of the satisfaction assessment showed that nine traits including overall satisfaction were of high levels.

Conclusions Orthodontic specialists' preferences were assessed using gap analysis and an orthodontic app was designed and appraised. This article presents the orthodontic specialists' preferences and summarizes the process of achieving app satisfaction. Therefore, to create a clinical app with strong engagement power, a strategic initial plan using gap analysis can be recommended.



Publikationsverlauf

Artikel online veröffentlicht:
22. Februar 2023

© 2023. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

Thieme Medical and Scientific Publishers Pvt. Ltd.
A-12, 2nd Floor, Sector 2, Noida-201301 UP, India

 
  • References

  • 1 Baheti MJ, Toshniwal N. Orthodontic apps at fingertips. Prog Orthod 2014; 15 (01) 36-40
  • 2 Panchal V, Gurunathan D, Shanmugaavel AK. Smartphone application as an aid in determination of caries risk and prevention: a pilot study. Eur J Dent 2017; 11 (04) 469-474
  • 3 Siddiqui NR, Hodges S, Sharif MO. Availability of orthodontic smartphone apps. J Orthod 2019; 46 (03) 235-241
  • 4 Siddiqui NR, Hodges SJ, Sharif MO. Orthodontic apps: an assessment of quality (using the Mobile App Rating Scale (MARS)) and behaviour change techniques (BCTs). Prog Orthod 2021; 22 (01) 25
  • 5 Gupta G, Vaid N. The World of Orthodontic apps. APOS Trends Orthod 2017; 7: 73-79
  • 6 Caruso S, Caruso S, Pellegrino M, Skafi R, Nota A, Tecco S. A knowledge-based algorithm for automatic monitoring of orthodontic treatment: the dental monitoring system. Two cases. Sensors (Basel) 2021; 21 (05) 1-14
  • 7 Pavan KM, Praveen KN, Vasu Murthy S. Model analysis on a smartphone. J Clin Orthod 2012; 46 (06) 356-358
  • 8 Sayar G, Kilinc DD. Manual tracing versus smartphone application (app) tracing: a comparative study. Acta Odontol Scand 2017; 75 (08) 588-594
  • 9 Lee C. Gap analysis: Comparison of job-related attributes between importance and satisfaction. In: Khosrow-Pour M. eds. Social Issues in the Workplace: Breakthroughs in Research and Practice. Hershey: IGI Global; 2017: 443-459
  • 10 Singh P. Orthodontic apps for smartphones. J Orthod 2013; 40 (03) 249-255
  • 11 Mamillapalli PK, Sesham VM, Neela PK, Kondapaka V, Mandaloju SP. A smartphone app for identifying cervical vertebral maturation stages. J Clin Orthod 2015; 49 (09) 582-585
  • 12 Moyers R. Handbook of Orthodontics. 4th ed.. Chicago: Year Book Medical Publishers; 1988. , 577
  • 13 Ho CT, Freer TJ. The graphical analysis of tooth width discrepancy. Aust Orthod J 1994; 13 (02) 64-70
  • 14 Best JW, Kahn JV. Research in Education. 10th ed.. Boston: Pearson Education Inc; 2006: 528
  • 15 Rovinelli RJ, Hambleton RK. On the use of content specialists in the assessment of criterion-referenced test item validity. Dutch J Educ Research 1977; 2: 49-60
  • 16 Nunnally J. Psychometric Theory. New York: McGraw-Hill; 1978: 701
  • 17 Witayabusarakhum P, Manopatanakul S, Ho C. A comprehensive orthodontic model analysis app. J Clin Orthod 2015; 49 (06) 388-390
  • 18 Bolton WA. Disharmony in tooth size and its relation to the analysis and treatment of malocclusion. Angle Orthod 1958; 28: 113-130
  • 19 Ho CT, Freer TJ. Clinical application of the graphical analysis of tooth width discrepancy. Aust Orthod J 1994; 13 (03) 137-143
  • 20 Boondej A, Sirinavin I. Permanent tooth size in northern Thai with normal occlusion and soft tissue function. CM Dent J 1990; 11: 78-86
  • 21 Jaroontham J, Godfrey K. Mixed dentition space analysis in a Thai population. Eur J Orthod 2000; 22 (02) 127-134
  • 22 Suphanthavanich K, Kiatpongsan S, Chaiwat J, Dechkunakorn S, Chaiwat P. Prediction equations of unerupted size from the sum of lower incisor size in Thai dentition. J Dent Assoc Thai 1995; 45: 58-62
  • 23 Sunthornlohanakul S, Jansakul N, Hinkaew C. Accuracy of different methods of predicting size of unerupted canine and premolars. J Dent Assoc Thai 1995; 45: 189-192
  • 24 Pancherz H, Schäffer C. Individual-based prediction of the size of the supporting zones in the permanent dentition. A comparison of the Moyers method with a unitary prediction value. J Orofac Orthop 1999; 60 (04) 227-235
  • 25 Manopatanakul S, Watanawirun N. Comprehensive intermaxillary tooth width proportion of Bangkok residents. Braz Oral Res 2011; 25 (02) 122-127
  • 26 Rak K, Völker J, Taeger J, Bahmer A, Hagen R, Albrecht UV. Medical apps in oto-rhino-laryngology. Laryngorhinootologie 2019; 98 (S 01): S253-S289
  • 27 Wong DC, Nwe K, Evans R, Nelissen N, Larsen ME. Quantity and type of peer-reviewed evidence for popular free medical apps: cross-sectional review. Int J Med Inform 2021; 148: 104416
  • 28 Keutzer L, Simonsson US. Medical Device Apps: an introduction to regulatory affairs for developers. JMIR Mhealth Uhealth 2020; 8 (06) e17567
  • 29 Thiradilok S, Witayabusarakhum P, Manopatanakul S, Ho C. Agreement of the newly developed Moyers' equations and Moyers' tables. Eur J Dent 2022;