Development and testing of a mobile application for periodontal diagnosis.
Journal
Journal of clinical and experimental dentistry
ISSN: 1989-5488
Titre abrégé: J Clin Exp Dent
Pays: Spain
ID NLM: 101603132
Informations de publication
Date de publication:
Mar 2022
Mar 2022
Historique:
received:
02
01
2022
accepted:
06
02
2022
entrez:
23
3
2022
pubmed:
24
3
2022
medline:
24
3
2022
Statut:
epublish
Résumé
The new classification of periodontal diseases introduced a new set of rules for periodontal diagnosis. The objective of this study was to develop and test the implementation of a mobile device application for periodontal diagnosis. An integral algorithm that included periodontal health / related conditions and periodontitis was developed based on the classification of periodontal diseases of 2018. A mobile application for Android implementing the algorithm was developed using the framework MIT App Inventor. Once the app was debugged for glitches and performance of the algorithm, it was tested with 20 voluntary dental students, postgraduate students of periodontology, and professors in an academic setting. Participants were asked to determine the diagnosis of 10 predetermined clinical cases using two strategies: diagnosis based on knowledge and with the PerioSmart app. The results were tabulated, and the concordance rate was calculated. In general, the use of the PerioSmart application had a better concordance rate than diagnosis based on knowledge. In particular, the mobile app was better in determining the type of diagnosis, stage/grade of periodontitis, and with better efficiency. The mobile device application demonstrated efficiency and good concordance rate and therefore can improve the periodontal diagnosis.
Sections du résumé
Background
UNASSIGNED
The new classification of periodontal diseases introduced a new set of rules for periodontal diagnosis. The objective of this study was to develop and test the implementation of a mobile device application for periodontal diagnosis.
Material and Methods
UNASSIGNED
An integral algorithm that included periodontal health / related conditions and periodontitis was developed based on the classification of periodontal diseases of 2018. A mobile application for Android implementing the algorithm was developed using the framework MIT App Inventor. Once the app was debugged for glitches and performance of the algorithm, it was tested with 20 voluntary dental students, postgraduate students of periodontology, and professors in an academic setting. Participants were asked to determine the diagnosis of 10 predetermined clinical cases using two strategies: diagnosis based on knowledge and with the PerioSmart app. The results were tabulated, and the concordance rate was calculated.
Results
UNASSIGNED
In general, the use of the PerioSmart application had a better concordance rate than diagnosis based on knowledge. In particular, the mobile app was better in determining the type of diagnosis, stage/grade of periodontitis, and with better efficiency.
Conclusions
UNASSIGNED
The mobile device application demonstrated efficiency and good concordance rate and therefore can improve the periodontal diagnosis.
Identifiants
pubmed: 35317291
doi: 10.4317/jced.59338
pii: 59338
pmc: PMC8916594
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e269-e273Informations de copyright
Copyright: © 2022 Medicina Oral S.L.
Déclaration de conflit d'intérêts
Conflicts of interest Doctor Botero and Velasquez are full time professors at the Universidad de Antioquia. The rest of the authors have nothing to declare.
Références
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pubmed: 32844416
J Clin Periodontol. 2020 Nov;47(11):1362-1370
pubmed: 32886408
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pubmed: 32844412
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J Clin Periodontol. 2019 Apr;46(4):398-405
pubmed: 30883878