Assessment of Factors Influencing the Perception of Patient's Teledentistry Services
Abstract
Background/Aim: The trend of using teledentistry increased significantly during the pandemic. Many studies have analysed patients' perceptions of teledentistry, but no studies have examined the factors that influence these perceptions. Aim of this study was to determine the factors that influence the patient's perception of teledentistry.
Methods: This type of research was a descriptive analysis with a cross sectional design. A total of 170 respondents filled out a questionnaire containing sociodemographic data and statements with a Likert scale related to the five perceptual domains of teledentistry. The data were analysed for correlation test with SPSS and model test with SEM-PLS.
Results: There were only two factors, namely age and level of education that appear as factors that affect the patient's perception with a correlation significance value of 0.001 for age and 0.005 for education. The value of the correlation coefficient was positive, which means that the higher the age and level of education, the tendency of the perceived value to be more strongly agreed. These results were reinforced by the results of the coefficient values on the SEM-PLS model test which were positive and significant, namely 0.311. The results of the goodness of fit analysis in this study were in the moderate category with a value of 0.265. However, the imbalance in the number of respondents in each sociodemographic group makes the results of this study less representative.
Conclusion: There was a significant positive correlation between the level of education and the perception of teledentistry. This means that the higher a person's education level, the better his perception of teledentistry. Age had a significant correlation and influence with the patient's perception of teledentistry. A positive value on a significant test result indicated that the higher the age, the better the patient's perception of teledentistry.
References
1. Glogowsky U, Hansen E, Schächtele S. How effective are social distancing policies? Evidence on the fight against COVID-19. PLoS One 2021 Sep 22;16(9):e0257363. doi: 10.1371/journal.pone.0257363.
2. Innes N, Johnson IG, Al-Yaseen W, Harris R, Jones R, KC S, et al. A systematic review of droplet and aerosol generation in dentistry. J Dent 2021 Feb;105:103556. doi: 10.1016/j.jdent.2020.103556.
3. Irving M, Stewart R, Spallek H, Blinkhorn A. Using teledentistry in clinical practice as an enabler to improve access to clinical care: A qualitative systematic review. J Telemed Telecare 2018 Apr;24(3):129-146.
4. Ghai S. Teledentistry during COVID-19 pandemic. Diabetes Metab Syndr Clin Res Rev 2020 Sep;14(5):933–5.
5. Achmad H, Tanumihardja M, Ramadhany YF. Teledentistry as a solution in dentistry during the covid-19 pandemic period: A systematic review. Int J Pharm Res 2020;12:272–8.
6. Maqsood A, Sadiq MSK, Mirza D, Ahmed N, Lal A, Alam MK, et al. The teledentistry, impact, current trends and application in dentistry: a global study. Biomed Res Int 2021 Oct 25;2021:5437237. doi: 10.1155/2021/5437237.
7. Rachim AF, Wibowo A, Martiraz Y. Teledentistry pada pelayanan gigi dan mulut dimasa pandemi COVID-19 tahun 2020-2021 : A systematic review. PREPOTIF J Kesehat Masy 2021 Oct 29;5(2):1209–19. Indonesian.
8. Rahman N, Nathwani S, Kandiah T. Teledentistry from a patient perspective during the coronavirus pandemic. Br Dent J 2020 Aug 14;14:1–4.
9. Aboalshamat K. Awareness of, beliefs about, practices of and barriers to teledentistry among dental students and the implications for Saudi Arabia Vision 2030 and coronavirus pandemic. J Int Soc Prev Community Dent 2020 Aug 6;10(4):431-7.
10. Tan SHX, Lee CKJ, Yong CW, Ding YY. Scoping review: Facilitators and barriers in the adoption of teledentistry among older adults. Gerodontology 2021 Dec 14;38(4):351–65.
11. Jacobalis S. [A collection of selected writings about hospitals in Indonesia in the dynamics of history, transformation, globalisation and national crises]. Jakarta: Yayasan Penerbit IDI; 2000. Indonesian.
12. AlShaya MS, Assery MK, Pani SC. Reliability of mobile phone teledentistry in dental diagnosis and treatment planning in mixed dentition. J Telemed Telecare 2020 Jan 22;26(1–2):45–52.
13. Amtha R, Gunardi I, Astoeti TE, Roeslan MO. Characteristic of oral medicine patient using teledentistry during COVID-19 pandemic. Odonto Dent J 2021 Jul 12;8(1):18–27.
14. Estai M, Kanagasingam Y, Tennant M, Bunt S. A systematic review of the research evidence for the benefits of teledentistry. J Telemed Telecare 2018 Apr 24;24(3):147–56.
15. Giudice A, Barone S, Muraca D, Averta F, Diodati F, Antonelli A, et al. Can teledentistry improve the monitoring of patients during the covid-19 dissemination? A descriptive pilot study. Int J Environ Res Public Health 2020 May 13;17(10):3399. doi: 10.3390/ijerph17103399.
16. Joseph F. Hair J, Sarstedt M, Ringle CM, Gudergan SP. Advanced issues in partial least squares structural equation modeling. California, USA: Sage Publications, Inc; 2017.
17. Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: toward a unified view. MIS Q 2003;27(3):425–78.
18. Akhmad AD, Puspandari DA. [Analysis of perceptions and factors affecting perceptions on the implementation of the JKN financing system in supporting health facilities in the D.I. Yogyakarta]. Gadjah Mada University; 2015. Indonesian.
19. Dida S, Hafiar H, Kadiyono AL, Lukman S. Gender, education and digital generations as determinants of attitudes toward health information for health workers in West Java, Indonesia. Heliyon 2021 Jan 13;7(1):e05916. doi: 10.1016/j.heliyon.2021.e05916.
20. Deeks A, Lombard C, Michelmore J, Teede H. The effects of gender and age on health related behaviors. BMC Public Health 2009 Jun 30;9:213. doi: 10.1186/1471-2458-9-213.
21. Berkup SB. Working with generations X and Y in generation Z period: management of different generations in business life. Mediterr J Soc Sci Aug 2014;5(19):218-29.
22. Haque MMA, Jahan Y, Khair Z, Moriyama M, Rahman MM, Sarker MHR, et al. Perceptions about telemedicine among populations with chronic diseases amid COVID-19: data from a cross-sectional survey. Int J Environ Res Public Health 2022 Apr 2;19(7):4250. doi: 10.3390/ijerph19074250.
23. Huyler DD, Ciocca DJ. Baby boomers: the use of technology to support learning [Internet]. SFERC 2016 (13). [Cited: 1-Dec-2022] Available at: https://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=1542&context=sferc&httpsredir=1&referer=.
24. McCrindle M. The ABC of XYZ: understanding the global generations. Australia: McCrindle Research; 2018.
25. Othman MN, Yap SF, Wee YG. Examining the relationship between gender, age, education level and social cognitive factors in a health setting. Int J Bus Manag 2011 Sep 1;6(9):79-91.
26. Hasan MS, Rahman RA, Abdillah SFHBT, Omar N. Perception and awareness of young internet users towards cybercrime: evidence from Malaysia. J Soc Sci 2015 Apr 1;11(4):395–404.
27. Egbo OP, Okoyeuzu CR, Ifeanacho IC, Onwumere JUJ. Gender perception and attitude towards e-learning: a case of business students, university of Nigeria. Int J Comput Appl 2011;2(1):135–48.
28. Bain CD, Rice ML. the influence of gender on attitudes, perceptions and uses of technology. J Res Technol Educ 2006 Dec;39(2):119–32.
29. Fang J, Liu Y, Lee E, Yadav K. Telehealth solutions for in-hospital communication with patients under isolation during COVID-19. West J Emerg Med 2020 Jun 23;21(4):801-6.
30. Oviedo VY, Fox Tree JE. Meeting by text or video-chat: Effects on confidence and performance. Comput Hum Behav Reports 2021 Jan;3:100054. doi: 10.1016/j.chbr.2021.100054.
31. Löber A, Grimm S, Schwabe G. Audio vs chat: Can media speed explain the differences in productivity? In: 14th European Conference on Information Systems. Switzerland; 2006. doi: 10.5167/uzh-61415.
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).