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Australian Health Review Australian Health Review Society
Journal of the Australian Healthcare & Hospitals Association
RESEARCH ARTICLE (Open Access)

Experience of primary caregivers in utilising an mHealth application for remote dental screening in preschool children

Somayyeh Azimi https://orcid.org/0000-0002-1124-3783 A * , Chrishan Fernando https://orcid.org/0000-0003-0180-2593 B , Mohamed Estai https://orcid.org/0000-0001-7109-0267 A C , Jilen Patel https://orcid.org/0000-0002-8698-4965 D , Desiree Silva E F G and Marc Tennant https://orcid.org/0000-0002-2553-9884 A H
+ Author Affiliations
- Author Affiliations

A School of Human Sciences, University of Western Australia, Crawley, 35 Stirling Highway, Crawley, WA 6009, Australia.

B School of Nursing and Midwifery, Curtin University, Building 405, Bentley, WA 6102, Australia.

C The Australian e-Health Research Centre, CSIRO, Kensington, WA, Australia.

D Dental School, University of Western Australia, Nedlands, WA, Australia.

E Telethon Kids Institute, University of Western Australia, Nedlands, WA, Australia.

F Joondalup Health Campus, Joondalup, WA, Australia.

G Medical School, The University of Western Australia, Perth, Australia.

H School of Allied Health, University of Western Australia, Crawley, 35 Stirling Highway, Crawley, WA 6009, Australia.

* Correspondence to: somayyeh.azimi@uwa.edu.au

Australian Health Review 47(5) 545-552 https://doi.org/10.1071/AH23110
Submitted: 1 June 2023  Accepted: 28 July 2023   Published: 15 August 2023

© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of AHHA. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Objectives

This study aimed to address the acceptance of mHealth applications for a dental screening app that facilitates patient information entry and captures dental photos remotely to assist in caries diagnosis in preschool children in Australia.

Methods

All participants were recruited through the ORIGINS Project, a community-based interventional birth cohort study in Western Australia. Forty-two primary caregivers, who were the users of a teledental screening app, were given a questionnaire with 17 questions; these were constructed based on the theme of the Technology Acceptance Model: perceived ease of use (PE), perceived usefulness (PU), behavioural intention to adopt (BI), anxiety (ANX), attitude toward a behaviour (ATB), and self-efficacy (SE). Cronbach’s alpha was estimated to determine internal consistency. Path analysis was employed to quantify the relationship between each theme.

Results

The mean values for most themes indicated high satisfaction with the intervention among caregivers (scores out of 5): PE (4.54 ± 0.55), PU (4.65 ± 0.49), BI (4.40 ± 0.65), ATB (4.23 ± 0.70), SE (4.36 ± 0.64). Results indicated high consistency in response in the PE, PU, ATB, and SE (α = 0.74–0.84) and moderate consistency was observed in ANX and BI (α = 0.50–0.62). The overall intention of using the dental screening app was significantly related to both PU and ATB (P < 0.05); in addition, the SE and PE also positively affected the PU.

Conclusion

The perceived usefulness and attitude toward behaviours influenced the overall behavioural intention of the participants to use the telehealth model in dental screening. Recognising these relationships indicates community readiness for implementing the telehealth application in the dental program and enables identification of areas for improving its diffusion.

Keywords: child, delivery of health care, dental, dental caries, dental photography, smartphone, technology, telemedicine, the ORIGINS Project.

References

Uribe SE, Innes N, Maldupa I. The global prevalence of early childhood caries: A systematic review with meta-analysis using the WHO diagnostic criteria. Int J Paediatr Dent 2021; 31(6): 817-30.
| Crossref | Google Scholar |

Alazmah A. Early Childhood Caries: A Review. J Contemp Dent Pract 2017; 18(8): 732-7.
| Crossref | Google Scholar |

Righolt AJ, Jevdjevic M, Marcenes W, Listl S. Global-, regional-, and country- level economic impacts of dental diseases in 2015. J Dent Res 2018; 97(5): 501-7.
| Crossref | Google Scholar |

Slack-Smith LM. Dental visits by Australian preschool children. J Paediatr Child Health 2003; 39(6): 442-5.
| Crossref | Google Scholar |

Hopcraft M, Farmer G. Impact of COVID-19 on the provision of paediatric dental care: Analysis of the Australian Child Dental Benefits Schedule. Community Dent Oral Epidemiol 2021; 49(4): 369-76.
| Crossref | Google Scholar |

Deshpande S, Patil D, Dhokar A, Bhanushali P, Katge F. Teledentistry: A Boon Amidst COVID-19 Lockdown-A Narrative Review. Int J Telemed Appl 2021; 2021: 8859746.
| Crossref | Google Scholar |

Marya A, Venugopal A, Karobari MI, Messina P, Scardina GA, Subramanian AK. The Exponential Rise of Teledentistry and Patient-Oriented Protective Measures in Southeast Asian Dental Clinics: Concerns, Benefits, and Challenges. Int J Dent 2021; 2021: 9963329.
| Crossref | Google Scholar |

Park YT. Emerging New Era of Mobile Health Technologies. Healthc Inform Res 2016; 22(4): 253-4.
| Crossref | Google Scholar |

Ghai S. Teledentistry during COVID-19 pandemic. Diabetes Metab Syndr 2020; 14(5): 933-5.
| Crossref | Google Scholar |

10  Jagde AK, Shrivastava R, Feine J, Emami E. Patients’ E-Readiness to use E-Health technologies for oral health. PLoS One 2021; 16(7): e0253922.
| Crossref | Google Scholar |

11  Alharbi F. The Use of Digital Healthcare Platforms During the COVID-19 Pandemic: the Consumer Perspective. Acta Inform Med 2021; 29(1): 51-8.
| Crossref | Google Scholar |

12  Flodgren G, Rachas A, Farmer AJ, Inzitari M, Shepperd S. Interactive telemedicine: effects on professional practice and health care outcomes. Cochrane Database Syst Rev 2015; 2015(9): CD002098.
| Crossref | Google Scholar |

13  Gurgel-Juarez N, Torres-Pereira C, Haddad AE, Sheehy L, Finestone H, Mallet K, et al. Accuracy and effectiveness of teledentistry: a systematic review of systematic reviews. Evid Based Dent 2022; 1-8.
| Crossref | Google Scholar |

14  Klingberg A, Sawe HR, Hammar U, Wallis LA, Hasselberg M. m-Health for Burn Injury Consultations in a Low-Resource Setting: An Acceptability Study Among Health Care Providers. Telemed J E Health 2020; 26(4): 395-405.
| Crossref | Google Scholar |

15  Estai M, Bunt S, Kanagasingam Y, Kruger E, Tennant M. Diagnostic accuracy of teledentistry in the detection of dental caries: a systematic review. J Evid Based Dent Pract 2016; 16(3): 161-72.
| Crossref | Google Scholar |

16  Estai M, Kanagasingam Y, Tennant M, Bunt S. A systematic review of the research evidence for the benefits of teledentistry. J Telemed Telecare 2018; 24(3): 147-56.
| Crossref | Google Scholar |

17  Estai M, Kanagasingam Y, Mehdizadeh M, Vignarajan J, Norman R, Huang B, et al. Mobile photographic screening for dental caries in children: Diagnostic performance compared to unaided visual dental examination. J Public Health Dent 2022; 82(2): 166-75.
| Crossref | Google Scholar |

18  Inquimbert C, Hirata-Tsuchiya S, Yoshii S, Molinari N, Nogue E, Roy C, et al. Concordance study between regular face-to-face dental diagnosis and dental telediagnosis using fluorescence. J Telemed Telecare 2021; 27(8): 509-17.
| Crossref | Google Scholar |

19  Azimi S, Estai M, Patel J, Silva D. The feasibility of a digital health approach to facilitate remote dental screening among preschool children during COVID-19 and social restrictions. Int J Paediatr Dent 2023; 33: 234-45.
| Crossref | Google Scholar |

20  Schmeer R, Behrends M, Kupka T, Meyenburg-Altwarg I, Marschollek M. Use and Acceptance of Mobile Technology by Hospital Nurses in Germany. Stud Health Technol Inform 2016; 225: 944-5.
| Google Scholar |

21  Holden RJ, Karsh BT. The technology acceptance model: its past and its future in health care. J Biomed Inform 2010; 43(1): 159-72.
| Crossref | Google Scholar |

22  Abdekhoda M, Ahmadi M, Dehnad A, Hosseini AF. Information technology acceptance in health information management. Methods Inf Med 2014; 53(1): 14-20.
| Crossref | Google Scholar |

23  Hoque R, Sorwar G. Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model. Int J Med Inform 2017; 101: 75-84.
| Crossref | Google Scholar |

24  Silva DT, Hagemann E, Davis JA, Gibson LY, Srinivasjois R, Palmer DJ, Colvin L, Tan J, Prescott SL. Introducing the ORIGINS project: A community-based interventional birth cohort. Rev Environ Health 2020; 35(3): 281-93.
| Crossref | Google Scholar |

25  Bureau of Statistics. Information paper: an introduction to Socio-Economic Indexes for Areas (SEIFA). Canberra: Australian Bureau of Statistics Canberra; 2006.

26  Baby A, Kannammal A. Network Path Analysis for developing an enhanced TAM model: A user-centric e-learning perspective. Comput Hum Behav 2020; 107: 106081.
| Crossref | Google Scholar |

27  Sheng Z, Kong W, Cortina JM, Hou S. Analyzing matrices of meta-analytic correlations: current practices and recommendations. Res Synth Methods 2016; 7(2): 187-208.
| Crossref | Google Scholar |

28  Faturohman T, Kengsiswoyo GAN, Harapan H, Zailani S, Rahadi RA, Arief NN. Factors influencing COVID-19 vaccine acceptance in Indonesia: an adoption of Technology Acceptance Model. F1000Res 2021; 10: 476.
| Crossref | Google Scholar |

29  Zhang X, Han X, Dang Y, Meng F, Guo X, Lin J. User acceptance of mobile health services from users’ perspectives: The role of self-efficacy and response-efficacy in technology acceptance. Inform Health Soc Care 2017; 42(2): 194-206.
| Crossref | Google Scholar |

30  Wulfovich S, Fiordelli M, Rivas H, Concepcion W, Wac K. “I Must Try Harder”: Design Implications for Mobile Apps and Wearables Contributing to Self-Efficacy of Patients With Chronic Conditions. Front Psychol 2019; 10: 2388.
| Crossref | Google Scholar |

31  Hsiao SJ, Tseng HT. The Impact of the Moderating Effect of Psychological Health Status on Nurse Healthcare Management Information System Usage Intention. Healthcare 2020; 8(1): 28.
| Crossref | Google Scholar |

32  Qi M, Cui J, Li X, Han Y. Perceived Factors Influencing the Public Intention to Use E-Consultation: Analysis of Web-Based Survey Data. J Med Internet Res 2021; 23(1): e21834.
| Crossref | Google Scholar |

33  Rajeh MT, Abduljabbar FH, Alqahtani SM, Waly FJ, Alnaami I, Aljurayyan A, et al. Students’ satisfaction and continued intention toward e-learning: a theory-based study. Med Educ Online 2021; 26(1): 1961348.
| Crossref | Google Scholar |

34  Chung MH, Ho CH, Wen HC. Predicting intentions of nurses to adopt patient personal health records: A structural equation modeling approach. Comput Methods Programs Biomed 2016; 136: 45-53.
| Crossref | Google Scholar |

35  Gallos P, Kaitelidou D, Velonakis E, Mantas J. A “Smart” m-health Application for Travelers: The Public’s Opinion. Stud Health Technol Inform 2014; 202: 245-8.
| Google Scholar |

36  Garey L, Zvolensky MJ, Gallagher MW, Vujanovic A, Kendzor DE, Stephens L, et al. A Smartphone-Based Intervention for Anxiety and Depression in Racially and Ethnically Diverse Adults (EASE): Protocol for a Randomized Controlled Trial. JMIR Res Protoc 2022; 11(12): e40713.
| Crossref | Google Scholar |

37  Bettiga D, Lamberti L, Lettieri E. Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach. Health Care Manag Sci 2020; 23(2): 203-14.
| Crossref | Google Scholar |

38  Hong Z, Li N, Li D, Li J, Li B, Xiong W, et al. Telemedicine During the COVID-19 Pandemic: Experiences From Western China. J Med Internet Res 2020; 22(5): e19577.
| Crossref | Google Scholar |

39  Wakhloo T, Reddy G, Chug A, Dhar M. Relevance of teledentistry during the COVID-19 pandemic. J Family Med Prim Care 2020; 9(8): 4494-5.
| Crossref | Google Scholar |

40  Fornaini C, Rocca JP. Relevance of Teledentistry: Brief Report and Future Perspectives. Front Dent 2022; 19: 25.
| Crossref | Google Scholar |