ArticleBritish journal of health psychology2023
How do women at increased risk of breast cancer make sense of their risk? An interpretative phenomenological analysis.
Article in British journal of health psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 11 citations in OpenAlex.
- How do women experience a change in their clinically-derived breast cancer risk estimates: views from a UK family history risk and prevention clinic.BMC cancer · 2026Article
- Illness risk representations underlying women's breast cancer risk appraisals: A theory-informed qualitative analysis.British journal of health psychology · 2025Article
- Are Women's Breast Cancer Risk Appraisals in Line with Updated Clinical Risk Estimates Communicated? Results from a UK Family History Risk and Prevention Clinic.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024Article
- Article
- Improving the communication of multifactorial cancer risk assessment results for different audiences: a co-design process.Journal of community genetics · 2024Article
- How do women at increased risk of breast cancer make sense of their risk? An interpretative phenomenological analysis.British journal of health psychology · 2023Article
- Acceptability of breast cancer risk assessment amongst general population women aged 30-39 years: A qualitative study.Women's health (London, England)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
5 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesOffering breast cancer risk prediction for all women of screening age is being considered globally. For women who have received a clinically derived estimate, risk appraisals are often inaccurate. This study aimed to gain an in-depth understanding of women's lived experiences of receiving an increased breast cancer risk.
designOne-to-one semi-structured telephone interviews.
methodsEight women informed that they were at a 10-year above-average (moderate) or high risk in a breast cancer risk study (BC-Predict) were interviewed about their views on breast cancer, personal breast cancer risk and risk prevention. Interviews lasted between 40 and 70 min. Data were analysed using Interpretative Phenomenological Analysis.
resultsFour themes were generated: (i) encounters with breast cancer and perceived personal significance, where the nature of women's lived experiences of others with breast cancer impacted their views on the significance of the disease, (ii) 'It's random really': difficulty in seeking causal attributions, where women encountered contradictions and confusion in attributing causes to breast cancer, (iii) believing versus identifying with a clinically-derived breast cancer risk, where personal risk appraisals and expectations influenced women's ability to internalize their clinically derived risk and pursue preventative action and (iv) perceived utility of breast cancer risk notification, where women reflected on the usefulness of knowing their risk.
conclusionsProviding (numerical) risk estimates appear to have little impact on stable yet internally contradictory beliefs about breast cancer risk. Given this, discussions with healthcare professionals are needed to help women form more accurate appraisals and make informed decisions.
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.