Identifying Women at Risk for Missing Breast Cancer Screening
Author Information
Author(s): Núria Pedrós Barnils, Benjamin Schüz
Primary Institution: Institute for Public Health and Nursing Research, University of Bremen, Bremen, Germany
Hypothesis
This study aims to identify intersectional groups of women at higher risk of not attending breast cancer screening by comparing regression and decision tree-based approaches.
Conclusion
The study found that low-income women not born in Germany and living in rural areas are at the highest risk of never attending breast cancer screening.
Supporting Evidence
- The decision tree approach identified additional nuances in at-risk groups.
- Women living alone or with children had higher odds of never attending screenings.
- The study highlights the importance of considering multiple social dimensions.
Takeaway
The study looked at different groups of women to see who is less likely to get breast cancer screenings, finding that some women face more challenges than others.
Methodology
The study used data from the European Health Interview Survey and compared two analytical strategies: evidence-informed regression and decision tree-based regression.
Potential Biases
The study may have biases due to the low response rate of 21.6% and the potential underestimation of disparities in access to screening.
Limitations
The study's cross-sectional design limits causal inference, and the self-report methodology may introduce response bias.
Participant Demographics
Women aged 50-69, with a focus on socio-demographic characteristics such as income, country of origin, and living arrangements.
Statistical Information
P-Value
0.002
Confidence Interval
(1.19–1.76)
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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