ArticleJournal of cancer education : the official journal of the American Association for Cancer Education2026
Applying Innovative Methods to Develop Health Education Text Messages in Cancer Survivorship.
Article in Journal of cancer education : the official journal of the American Association for Cancer Education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Accuracy of ChatGPT-4o in Identifying Anatomical Structures on Cadaveric Images: A Practical Anatomy Examination Study.Clinical anatomy (New York, N.Y.) · 2026Article
- Applying Virtual Community Engagement Studio to Inform a Dyadic Text Message Intervention for Diet, Physical Activity, and Sleep After Cancer.Cancer control : journal of the Moffitt Cancer CenterArticle
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
Abstract
Dietary quality, physical activity, and sleep hygiene are interrelated behaviors that have been associated with health outcomes among cancer survivors and caregivers. The purpose of this study was to develop health promotion short message service (SMS) content related to these three behaviors using generative artificial intelligence (AI) as part of a health promotion intervention development process. Generative AI was first used to develop English-language SMS drafts for each of the three health behaviors using ChatGPT 3.5 (OpenAI, 2023). SMS drafts were then refined by humans to produce usable messages and approved by content experts. Each SMS was translated to Spanish by a native bilingual/bicultural speaker, with assistance from an AI translator (IXL Learning, 2023). This work demonstrated that AI can be an effective tool for generating new health education SMS content; however, expert human review and revision are critical for ensuring both the accuracy of content and appropriateness of language. Lessons learned and recommendations for incorporating GenAI into future SMS intervention development are discussed.
Indexed as
Identifiers
41524846What 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.