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Development, content validation and quality evaluation of a mobile app for oral health surveillance: a modified
Karthiga Sakthi1, Roopali M Sankeshwari1, Anil V Ankola1
1Department of Public Health Dentistry, KLE Vishwanath Katti Institute of Dental Sciences, KLE Academy of Higher Education and Research (KLE University), Belagavi, India.
Objectives:
The main aim of this study is to develop and validate the contents of an oral health surveillance tool called OraHealth Trends, a mobile application for ensuring that it is relevant, user-friendly, and of high content quality.
Materials:
In Phase I, a modified Delphi approach was employed in which the conceptual framework was developed. In Phase II, the content of the app was validated via a two-round modified Delphi process, using Item- Content Validity Index (I-CVI) and Scale Content Validity Index (SCV-I) for agreement, and Kendall's coefficient for achieving consensus and the prototype was pilot-tested. In Phase III sequential explanatory mixed-methods approach was used; the final version's quality was assessed using the User-Mobile Application Rating Scale, and qualitative feedback via a semi-structured questionnaire, and heuristics were obtained along with technology transfer documentation.
Results:
The I-CVI for app content ranged from 0.80 to 1.00, and SCV-I ranged from 0.89 to 0.97, indicating strong relevance and clarity and showed substantial agreement among experts for relevance (W = 0.70, p< 0.001∗) and moderate agreement for clarity (W = 0.56, p< 0.001∗). The overall uMARS score of the app is 4.3 out of 5, and under heuristics, it ranked no issues in privacy and security, user engagement and flexibility, and efficiency of use, and the qualitative feedback of the app was quite positive.
Conclusion:
This tool enables systematic assessment of oral disease prevalence, identification and monitoring of priority populations, and generation of actionable data to support evidence-based oral health promotion strategies and informed policymaking.
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