ArticlemHealth2021
Acceptability of an mHealth breast cancer risk-reduction intervention promoting risk assessment, education, and discussion of risk in the primary care setting.
Article in mHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Understanding patient perspectives on breast cancer risk: a qualitative study to inform genetic testing communication in the primary care setting.Journal of community genetics · 2026Article
- Perceptions of the Acceptability of Community-Based Breast Cancer Risk Assessment among Underserved Latinas in Maricopa County, Arizona.Journal of racial and ethnic health disparities · 2026Article
- Article
- LungCARE: Encouraging Shared Decision-Making in Lung Cancer Screening-a Randomized Trial.Journal of general internal medicine · 2023Review
- Proactive breast cancer risk assessment in primary care: a review based on the principles of screening.British journal of cancer · 2023Review
- A Scoping Review of Personalized, Interactive, Web-Based Clinical Decision Tools Available for Breast Cancer Prevention and Screening in the United States.MDM policy & practiceArticle
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.
Funding
Abstract
backgroundBreast cancer risk assessment tools and risk reduction strategies have advanced significantly over the past few decades but are underutilized in practice, due in part to limited acceptability by patients and physicians. We implemented a tablet-based Breast Cancer Risk Education Intervention (BreastCARE) tailored towards increasing patients' knowledge about their individual risk of developing breast cancer, increasing patient-physician discussion of breast cancer risk reduction practices, and increasing participation in recommended screening.
methodsWe surveyed patients and physicians who received the BreastCARE intervention and analyzed their satisfaction and acceptability of the intervention. We compared patient satisfaction measures by race/ethnicity and used multivariable logistic regression models to examine the effect of race/ethnicity on measures of patient satisfaction with the tablet-based risk assessment and with the breast cancer risk report. We also compared measures of physician satisfaction by resident
resultsOverall, both patients and physicians were highly satisfied with BreastCARE, with some variation by patient race/ethnicity and breast cancer risk status. The risk assessment tool and accompanying risk report helped transmit complex information in an efficient way.
conclusionsPatient self-administered risk assessment with a health education component at the point of care is acceptable for both patients and physicians, and represents a novel approach to facilitating health promotion. This risk assessment tool should be made routine in primary care accompanied by results that are easy for the patient to understand and actionable for the clinician.
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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.