Evidence map›Paper›PMID 42077554›Full record

ArticleJournal of oral biology and craniofacial research

Development, content validation and quality evaluation of a mobile app for oral health surveillance: a modified Delphi approach.

Karthiga Sakthi, Roopali M Sankeshwari, Anil V Ankola, Biswadeep Roychowdhury, Varkey Nadakkavukaran Santhosh, Dorothy Dutta, Anu Sara Varghese, S R Apoorva

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of oral biology and craniofacial research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Karthiga SakthiDepartment of Public Health Dentistry, KLE Vishwanath Katti Institute of Dental Sciences, KLE Academy of Higher Education and Research (KLE University), Belagavi, India.
Roopali M SankeshwariDepartment of Public Health Dentistry, KLE Vishwanath Katti Institute of Dental Sciences, KLE Academy of Higher Education and Research (KLE University), Belagavi, India.
Anil V AnkolaDepartment of Public Health Dentistry, KLE Vishwanath Katti Institute of Dental Sciences, KLE Academy of Higher Education and Research (KLE University), Belagavi, India.
Biswadeep RoychowdhuryDepartment of Public Health Dentistry, KLE Vishwanath Katti Institute of Dental Sciences, KLE Academy of Higher Education and Research (KLE University), Belagavi, India.
Varkey Nadakkavukaran SanthoshDepartment of Public Health Dentistry, KLE Vishwanath Katti Institute of Dental Sciences, KLE Academy of Higher Education and Research (KLE University), Belagavi, India.
Dorothy DuttaDepartment of Public Health Dentistry, KLE Vishwanath Katti Institute of Dental Sciences, KLE Academy of Higher Education and Research (KLE University), Belagavi, India.
Anu Sara VargheseDepartment of Public Health Dentistry, KLE Vishwanath Katti Institute of Dental Sciences, KLE Academy of Higher Education and Research (KLE University), Belagavi, India.
S R ApoorvaDepartment of Public Health Dentistry, KLE Vishwanath Katti Institute of Dental Sciences, KLE Academy of Higher Education and Research (KLE University), Belagavi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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, 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.

Indexed as

Electronic recordsEpidemiologymHealthMixed methods evaluationOral health surveillancePreventive dentistry

Identifiers

PMID42077554
PMCPMC13129429

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.