ArticleCancer control : journal of the Moffitt Cancer Center
The Development and Prototype Feedback of Digital Cancer 101 Videos to Enhance Cancer Education for Marginalized Communities With Limited Health Literacy.
Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Health Literacy, Individual and Community Engagement, and Cardiovascular Risks and Disparities:JACC. CardioOncology · 2024Review
- A pilot acceptability evaluation of MomMind: A digital health intervention for Peripartum Depression prevention and management focused on health disparities.PLOS digital health · 2024Article
- Digital health technologies for high-risk pregnancy management: three case studies using Digilego framework.JAMIA open · 2024Article
- Access to Hepatitis C Treatment during and after Incarceration in New Jersey, United States: A Qualitative Study.Life (Basel, Switzerland) · 2023Article
- Consuming Health Information and Vulnerable Populations: Factors of Engagement and Ongoing Usage.Yearbook of medical informatics · 2022Article
- The Relationship Between e-Health Literacy and Breast Cancer Literacy Among Saudi Women.Frontiers in public health · 2022Article
- Article
- Cancer misinformation on social media.CA: a cancer journal for cliniciansReview
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
Abstract
Social media, in the form of digital videos targeted to people with limited health literacy, as well as disadvantaged or marginalized groups, may help reduce cancer health disparities and improve health outcomes in these populations. In this article, we document the process of adapting the content from the Cancer 101 curriculum to create animated scripts about the cancer care continuum that is clear, straightforward, and in plain language. The development of the Cancer 101 digital videos required a multidisciplinary collaboration from-public health, medicine, technology, and expertise in correctional health, smoking cessation, web development, video producers, and individuals directly impacted by cancer disparities. The Cancer 101 videos were showcased at a community health fair where the videos were viewed by attendants waiting to be seen by a medical provider. While waiting for their cancer screening, 13 individuals were selected and invited to watch all 11 videos totaling less than 60-minutes of viewing time. They included 3 Latina women, 2 Latino men, and 8 Haitian women. All participants were between the ages of 40-65 years old. Overall, participants agreed that they would recommend the videos to friends/family (M = 4.77, SD = 0.44) and that they plan to watch other video modules to learn more information about cancer (M = 4.72, SD = 0.47). Additionally, participants enjoyed the graphics and audio of the videos presented (M = 4.85, SD = 0.38). Furthermore, participants noted that Cancer 101 digital videos described cancer in plain language, leading to a better understanding of the disease. Future research is needed to implement Cancer 101 digital videos in healthcare clinics to increase cancer information and improve cancer screening rates in marginalized communities.
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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.