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Original Research

Open Access

Reliability of smartphone images to assess plaque score among preschool children: a pilot study

  • Magesh Vijyakumar1
  • Asma Ashari1
  • Farinawati Yazid1
  • Haslina Rani1
  • Elavarasi Kuppusamy1,*,

1Department of Family Oral Health, National University Malaysia, 50300 Kuala Lumpur, Malaysia

DOI: 10.22514/jocpd.2024.042 Vol.48,Issue 2,March 2024 pp.143-148

Submitted: 05 July 2023 Accepted: 03 August 2023

Published: 03 March 2024

*Corresponding Author(s): Elavarasi Kuppusamy E-mail: elavarasi.k@ukm.edu.my

Abstract

This study assessed the reliability of smartphone images of plaque-disclosed anterior teeth for evaluating plaque scores among preschool children. Additionally, the reliability of plaque scores recorded from smartphone images of anterior teeth in representing the overall clinical plaque score was also assessed. Fifteen preschool children were recruited for this pilot study. The Simplified Debris Index (DI-S), the debris component of the Simplified Oral Hygiene Index, was used to record the plaque score. A plaque-disclosing tablet was used to disclose the plaque before the plaque score recording. Following that, the image of the anterior teeth (canine to canine) of both the upper and lower arch was captured using the smartphone. Each child had three different DI-S recorded. For the first recording of the overall clinical DI-S, the plaque score was recorded clinically from index teeth 55 (buccal), 51 (labial), 65 (buccal), 71 (labial), 75 (lingual) and 85 (lingual). For the second recording, anterior clinical DI-S, the plaque score was recorded clinically from the labial surfaces of six anterior teeth only (53, 51, 63, 73, 71 and 83). Two weeks later, anterior photographic DI-S (third recording) was done using the smartphone images of the same index teeth used for the second recording. The intra-class correlation coefficient (ICC) was calculated to evaluate the reliability of smartphone images in assessing plaque scores. The results showed high reliability (ICC = 0.987) between anterior clinical and anterior photographic examinations, indicating that smartphone images are highly reliable for evaluating plaque scores. Similarly, high reliability (ICC = 0.981) was also found for comparison between overall clinical DI-S and anterior photographic DI-S, indicating plaque scores recorded from smartphone images of anterior teeth alone can represent the overall clinical plaque score. This study suggests that smartphone images can be a valuable tool for remote screening and monitoring of oral hygiene in preschool children, contributing to better oral health outcomes.


Keywords

Smartphone images; Plaque score; Preschool children


Cite and Share

Magesh Vijyakumar,Asma Ashari,Farinawati Yazid,Haslina Rani,Elavarasi Kuppusamy. Reliability of smartphone images to assess plaque score among preschool children: a pilot study. Journal of Clinical Pediatric Dentistry. 2024. 48(2);143-148.

References

[1] FDI World Dental Federation. FDI’s definition of oral health. 2020. Available at: https://www.fdiworlddental.org (Accessed: 16 July 2023).

[2] Rowan-Legg A. Oral health care for children—a call for action. Paediatrics & Child Health. 2013; 18: 37–43.

[3] Anil S, Anand PS. Early childhood caries: prevalence, risk factors, and prevention. Frontiers in Paediatric. 2017; 5: 157.

[4] Bittencourt JM, Martins LP, Paiva SM, Pordeus IA, Martins-Júnior PA, Bendo CB. Early childhood caries and oral health‐related quality of life of Brazilian children: does parents’ resilience act as moderator? International Journal of Paediatric Dentistry. 2021; 31: 383–393.

[5] Singh N, Dubey N, Rathore M, Pandey P. Impact of early childhood caries on quality of life: child and parent perspectives. Journal of Oral Biology and Craniofacial Research. 2020; 10: 83–86.

[6] Kaur S, Maykanathan D, Lyn NK. Factors associated with dental caries among selected urban school children in Kuala Lumpur, Malaysia. Archives of Orofacial Science. 2015; 10: 22–23.

[7] Uribe SE, Innes N, Maldupa I. The global prevalence of early childhood caries: a systematic review with meta‐analysis using the who diagnostic criteria. International Journal of Paediatric Dentistry. 2021; 31: 817–830.

[8] World Health Organization. Oral health. 2020. Available at: https://www.who.int/news-room/fact-sheets/detail/oral-health (Accessed: 28 December 2020).

[9] Kazeminia M, Abdi A, Shohaimi S, Jalali R, Vaisi-Raygani A, Salari N, et al. Dental caries in primary and permanent teeth in children’s worldwide, 1995 to 2019: a systematic review and meta-analysis. Head & Face Medicine. 2020; 16: 1–21.

[10] Husin NA, Wan Sulaiman WS, Md Zain H, Abdul Karim NB, Ahmad KN, Othman Z, et al. National Oral Health Survey of Preschool Children (NOHPS 2015). Facts and Figures. 2015. Available at: https://hq.moh.gov.my/ohd/images/pdf/compendium/NOHPS-2015-CARIES.pdf (Accessed: 28 December 2020).

[11] Oral Health Division, Ministry of Health Malaysia. National health and morbidity survey 2017: national oral health survey of schoolchildren 2017 (NHMS 2017: NOHSS 2017). Volume II: oral health status of 12-year-old school children. 2017. Available at: https://hq.moh.gov.my/ohd/images/pdf/research/NHMS%202017%20NOHSS%202017%20Vol%20II%20Oral%20Health%20Status%20of%2012%20yr%20olds.pdf (Accessed: 17 July 2021).

[12] de Jong-Lenters M, L’Hoir M, Polak E, Duijster D. Promoting parenting strategies to improve tooth brushing in children: design of a non-randomised cluster-controlled trial. BMC Oral Health. 2019; 19: 210.

[13] Goriuc A, Sandu D, Tatarciuc M, Luchian I. The impact of the COVID-19 pandemic on dentistry and dental education: a narrative review. International Journal of Environmental Research and Public Health. 2022; 19: 2537.

[14] Moylan HB, Carrico CK, Lindauer SJ, Tufekci E. Accuracy of a smartphone-based orthodontic treatment-monitoring application: a pilot study. Angle Orthodontist. 2019; 89: 727–733.

[15] AlShaya M, Farsi D, Farsi N, Farsi N. The accuracy of teledentistry in caries detection in children—a diagnostic study. Digital Health. 2022; 8: 205520762211090.

[16] Estai M, Kanagasingam Y, Huang B, Shiikha J, Kruger E, Bunt S, et al. Comparison of a smartphone-based photographic method with face-to-face caries assessment: a mobile teledentistry model. Telemedicine and E-Health. 2017; 23: 435–440.

[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. Journal of Public Health Dentistry. 2022; 82: 166–175.

[18] Fonseca BB, Perdoncini NN, da Silva VC, Gueiros LAM, Carrard VC, Lemos CA, et al. Telediagnosis of oral lesions using smartphone photography. Oral Diseases. 2022; 28: 1573–1579.

[19] de Almeida Geraldino R, Rezende LVMDL, da‐Silva CQ, Almeida JCF. Remote diagnosis of traumatic dental injuries using digital photographs captured via a mobile phone. Dental Traumatology. 2017; 33: 350–357.

[20] Bleiel D, Rott T, Scharfenberg I, Wicht MJ, Barbe AG. Use of smartphone photos to document the oral care status of nursing home residents. Gerodontology. 2023; 40: 244–250.

[21] Ding B, Zhang Z, Liang Y, Wang W, Hao S, Meng Z, et al. Detection of dental caries in oral photographs taken by mobile phones based on the YOLOv3 algorithm. Annals of Translational Medicine. 2021; 9: 1622–1622.

[22] Kim JM, Lee WR, Kim JH, Seo JM, Im C. Light-induced fluorescence-based device and hybrid mobile app for oral hygiene management at home: development and usability study. JMIR mHealth and eHealth. 2020; 8: e17881.

[23] Azevedo C, Henriques P, Pannuti C, Michel-Crosato E. Selfie dental plaque index: a new tool for dental plaque assessment. Journal of Clinical and Experimental Dentistry. 2022; 14: e926–e931.

[24] Greene JG, Vermillion JR. The simplified oral hygiene index. The Journal of the American Dental Association. 1964; 68: 7–13.

[25] Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. Journal of Chiropractic Medicine. 2016; 15: 155–163.

[26] Smith RN, Brook AH, Elcock C. The quantification of dental plaque using an image analysis system: reliability and validation. Journal of Clinical Periodontology. 2001; 28: 1158–1162.

[27] Ministry of Health, Malaysia. Primary oral health care. 2023. Available at: https://hq.moh.gov.my/ohd/index.php/en/services/primary-oral-healthcare (Accessed: 16 August 2023).

[28] Ghanbarzadegan A, Bastani P, Luzzi L, Brennan D. Inequalities in utilization and provision of dental services: a scoping review. Systematic Reviews. 2021; 10: 222.

[29] Kuppusamy E, Ratnasingam M, Yazid F, Rosli T, Ali A, Sockalingam SNP, et al. Patterns of parental information seeking behavior on early childhood caries: a qualitative exploration. Journal of International Society of Preventive and Community Dentistry. 2023; 13: 133.


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