ArticleAmerican journal of men's health2017
Prostate Cancer Ambassadors: Process and Outcomes of a Prostate Cancer Informed Decision-Making Training Program.
Article in American journal of men's health, 2017. 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
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
8 citing papers in PubMed.
- Article
- Understanding Racial Disparities in Prostate Cancer: A Multifaceted Approach.Cancer medicine · 2025Review
- You Need to Know: evaluation of a uterine cancer awareness campaign for Black and Asian ethnic minority women in North East London.BMJ public health · 2025Article
- Perspectives and Misconceptions of an Online Adult Male Cohort Regarding Prostate Cancer Screening.Current oncology (Toronto, Ont.) · 2024Article
- Article
- Prostate cancer knowledge gaps among community stakeholders in rural Nigeria: implications for seeking screening.Cancer causes & control : CCC · 2021Article
- Training Community Health Ambassadors to Administer SOPARC.Journal of health science & education · 2019Article
- Prostate Cancer Screening among High-Risk Black Men.The journal for nurse practitioners : JNP · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
African American men bear a higher burden of prostate cancer than Caucasian men, but knowledge about how to make an informed decision about prostate cancer screening is limited. A lay health advisor model was used to train "Prostate Cancer Ambassadors" on prostate cancer risk and symptoms, how to make an informed decision for prostate-specific antigen screening, and how to deliver the information to members of their community. Training consisted of two, 6-hour interactive sessions and was implemented in three predominantly African American communities over an 8-month period between 2013 and 2014. Following training, Ambassadors committed to contacting at least 10 people within 3 months using a toolkit composed of wallet-sized informational cards for distribution, a slide presentation, and a flip chart. Thirty-two Ambassadors were trained, with more than half being females (59%) and half reporting a family history of prostate cancer. Prostate cancer knowledge improved significantly among Ambassadors ( p ≤ .0001). Self-efficacy improved significantly for performing outreach tasks ( p < .0001), and among women in helping a loved one with making an informed decision ( p = .005). There was also an improvement in collective efficacy in team members ( p = .0003). Twenty-nine of the Ambassadors fulfilled their commitment to reach at least 10 people (average number of contacts per Ambassador was 11). In total, 355 individuals were reached with the prostate cancer information. The Ambassador training program proved successful in training Ambassadors to reach communities about prostate cancer and how to make an informed decision about screening.
Indexed as
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.