ArticleInternet interventions2015
Development of an Internet Intervention to Address Behaviors Associated with Skin Cancer Risk among Young Adults.
Article in Internet interventions, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 21 citations in OpenAlex.
- Digital Skin Cancer Risk Reduction Interventions for Young Adults: Findings from a Hybrid Type-II Effectiveness-Implementation Trial.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Trial
- Trial
- Get Health'e': A Pilot Test of a Digital Health Literacy Intervention for Young Adults.Health literacy research and practice · 2024Trial
- Digital Interventions to Modify Skin Cancer Risk Behaviors in a National Sample of Young Adults: Randomized Controlled Trial.Journal of medical Internet research · 2024Trial
- Effects of Website Interactivity on Skin Cancer-Related Intentions and User Experience: Factorial Randomized Experiment.Journal of medical Internet research · 2021Trial
- Development of a self-guided web-based intervention to promote physical activity using the multi-process action control framework.Internet interventions · 2019Article
- Participatory Methods to Engage Health Service Users in the Development of Electronic Health Resources: Systematic Review.Journal of participatory medicine · 2019Review
- Article
- Impact of an Educational Intervention Based on the BASNEF Model on Skin Cancer Preventive Behavior of College StudentsAsian Pacific journal of cancer prevention : APJCP · 2018Article
- A Web-Based Caring Training for Caregivers of Children with Cerebral Palsy: Development and Evaluation.Iranian journal of child neurology · 2018Article
- Skin cancer knowledge and attitudes in the region of Fez, Morocco: a cross-sectional study.BMC dermatology · 2017Article
- Air pollution, UV irradiation and skin carcinogenesis: what we know, where we stand and what is likely to happen in the future?Postepy dermatologii i alergologii · 2017Review
- Recall of indoor tanning salon warnings and safety guidelines among a national sample of tanners.Translational behavioral medicine · 2016Article
- Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
purposeSkin cancer is the most common cancer in the US, and its incidence is increasing. The major risk factor for skin cancer is exposure to ultraviolet radiation (UV). Young adults tend to expose themselves to large amounts of UV and engage in minimal skin protection, which increases their skin cancer risk. Interventions are needed to address risk behaviors among young adults that may lead to skin cancer. The nternet offers a cost-effective way to widely disseminate efficacious interventions. The current paper describes the development of an online skin cancer risk reduction intervention (UV4.me) for young adults. PROCEDURES: The iterative development process for UV4.me followed best-practice guidelines and included the following activities: individual interviews, focus groups, content development by the expert team, acceptability testing, cognitive interviewing for questionnaires, quality control testing, usability testing, and a pilot randomized controlled trial. Participant acceptability and usability feedback was assessed. PRINCIPAL
resultsThe development process produced an evidence-informed intervention that is individually-tailored, interactive, and multimedia in nature based on the Integrative Model of Behavior Prediction, a model for internet interventions, and other best-practice recommendations, expert input, as well as user acceptability and usability feedback gathered before, during, and after development. MAJOR
conclusionsDevelopment of an acceptable intervention intended to have a significant public health impact requires a relatively large investment in time, money, expertise, and ongoing user input. Lessons learned and recommendations are discussed. The comprehensive process used may help prepare others interested in creating similar behavioral health interventions.
Identifiers
What OpenQuestion 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 OpenQuestion graph.