SynthesisJournal of medical Internet research2022
Dropout Rate in Digital Health Interventions for the Prevention of Skin Cancer: Systematic Review, Meta-analysis, and Metaregression.
Synthesis in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07489261 (Effect of Mobile Application- and Artificial Intelligence-Supported Video-Based Patient Education on Patient Outcomes in Teaching Clean Intermittent Catheterization), which is not on this map. Cited by 11 papers, 2 of them syntheses that pooled it.
What it found
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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.
Effect of Mobile Application- and Artificial Intelligence-Supported Video-Based Patient Education on Patient Outcomes in Teaching Clean Intermittent Catheterization
Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- Conversational agent-based interventions for lifestyle behavior modification in older adults: a systematic review.Systematic reviews · 2025Pooled it
- Pooled it
- A mobile supportive care app for patients with metastatic lung cancer: the Lung Cancer App (LuCApp) randomized controlled trial.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Trial
- Effective Communication Supported by an App for Pregnant Women: Quantitative Longitudinal Study.JMIR human factors · 2024Trial
- Global Trends in Sun Safety and Skin Cancer Prevention Education Among Adolescents: A Bibliometric Analysis.Cureus · 2026Review
- Feasibility of the Social Media-Based Prevention Program "Leduin" for German Adolescents on Instagram: Mixed Methods Pilot Study.JMIR formative research · 2025Article
- A brief feasibility report on an online psychosocial support intervention for adults with Li-Fraumeni syndrome.Frontiers in psychology · 2025Article
- Piloting a cancer awareness app across six European countries: a pre-post study.Frontiers in public health · 2025Article
- Development of a Multiplatform Tool for the Prevention of Prevalent Mental Health Pathologies in Adults: Protocol for a Randomized Control Trial.JMIR research protocols · 2024Article
- Challenges in implementing cultural adaptations of digital health interventions.Communications medicine · 2024Review
- Empirical progression criteria thresholds for feasibility outcomes in HIV clinical trials: a methodological study.Pilot and feasibility studies · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDigital strategies are innovative approaches to the prevention of skin cancer, but the attrition following this kind of intervention needs to be analyzed.
objectiveThe aim of this paper is to assess the dropouts from studies focused on digital strategies for the prevention of skin cancer.
methodsWe conducted this systematic review with meta-analyses and metaregression according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statements. Search terms for skin cancer, digital strategies, and prevention were combined to search PubMed, Scopus, Web of Science, CINAHL, and Cochrane Library from inception until July 2022. Randomized clinical trials that reported dropouts of participants and compared digital strategies with other interventions to prevent skin cancer in healthy or disease-free participants were included. Two independent reviewers extracted data for analysis. The Revised Cochrane Collaboration Bias tool was employed. We calculated the pooled dropout rate of participants through a meta-analysis of proportions and examined whether dropout was more or less frequent in digital interventions against comparators via an odds ratio (OR) meta-analysis. Data were pooled using a random-effects model. Subgroup meta-analyses were conducted in a meta-analysis of proportions and OR meta-analysis to assess the dropout events when data were sorted by digital interventions or control comparator. A univariate metaregression based on a random-effects model assessed possible moderators of dropout. Participants' dropout rates as pooled proportions were calculated for all groups combined, and the digital and comparator groups separately. OR>1 indicated higher dropouts for digital-based interventions. Metaregressions were performed for age, sex, length of intervention, and sample size.
resultsA total of 17 studies were included. The overall pooled dropout rate was 9.5% (95% CI 5.0-17.5). The subgroup meta-analysis of proportions revealed a dropout rate of 11.6% for digital strategies (95% CI 6.8-19.0) and 10.0% for comparators (95% CI 5.5-17.7). A trend of higher dropout rates for digital strategies was observed in the overall (OR 1.16, 95% CI 0.98-1.36) and subgroup OR meta-analysis, but no significant differences were found between the groups. None of the covariates moderated the effect size in the univariate metaregression.
conclusionsDigital strategies had a higher dropout rate compared to other prevention interventions, but the difference was not significant. Standardization is needed regarding reporting the number of and reasons for dropouts.
trial registrationInternational Prospective Register of Systematic Reviews (PROSPERO) CRD42022329669; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=329669.
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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.