ReviewHealth science reports2024
The Types and Effectiveness of Mobile Health Applications Used in Improving Oral Cancer Knowledge: A Mixed Methods Systematic Review.
Review in Health science reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Community health worker-supported oral health promotion in low- and middle-income countries: a scoping review of roles, interventions, and outcomes.BMC public health · 2026Article
- A Community-Based Usability Study of an AI-Enabled Oral Cancer Screening App Operated by Village Health Volunteers: Mixed Methods Study.JMIR mHealth and uHealth · 2026Article
- Co-creation of an educational mobile health application prototype on oral cancer using modified delphi technique.Scientific reports · 2026Article
- Response to the Letter Entitled "Addressing the Limitations in Mobile Health Application Research for Oral Cancer Knowledge".Health science reports · 2025Article
- Article
- Addressing the Limitations in Mobile Health Application Research for Oral Cancer Knowledge.Health science reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aims: The global burden of oral cancer (OC) is enormous. Mobile health applications have been found to play a promising role in cancer prevention; however, no known systematic review evidence exists on whether the use of mobile health applications is effective in increasing public knowledge of OC or not. Therefore, this systematic review aimed to synthesize evidence on the types and effectiveness of mobile health applications used for improving OC knowledge. Methods: This study adopted a mixed methods systematic review design. The review methodology was informed by Joanna Brigg's Institute's PRISMA checklist and the AMSTAR-2 guidelines. The literature used for this review were obtained through the search of multiple sources, including 12 electronic databases, web sources, and manual searching of the reference lists and citations of the included articles. Quality appraisal of the included articles was done using the Mixed Methods Appraisal Tool, after which relevant data were collected, synthesized, and configured. Results: A total of three high-quality articles, from two studies conducted in India, were included in this review. The studies investigated 574 participants, who are predominantly doctors and community members, on two Android-based mobile health applications (M-OncoED and Prayaas). Only Prayaas was found to significantly increase OC knowledge among its users ( Conclusion: Mobile health application-based education is a highly underutilised but very promising strategy that can be used to improve public knowledge of OC. This strategy needs to be adopted in public education programmes on OC.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.