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Fragmented ownership and multilevel barriers to breast MRI screening among high-risk women: A qualitative study informing development of clinical decision support

This qualitative study of high-risk women and healthcare providers in New York City identifies fragmented ownership, multilevel barriers, and a need for consolidated guidelines as key factors limiting breast MRI screening uptake, thereby informing the development of an integrated clinical decision support module within the RealRisks platform.

Original authors: Marlee Pincus, Cynthia Law, Vicky Ro, Christina Hijiya, Rita Kukafka, Katherine D Crew, Alissa Michel

Published 2026-09-20
📖 4 min read☕ Coffee break read

Original authors: Marlee Pincus, Cynthia Law, Vicky Ro, Christina Hijiya, Rita Kukafka, Katherine D Crew, Alissa Michel

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Breast cancer remains a leading cause of death for women worldwide, but for those at high risk, the standard screening tool has a blind spot. Mammograms, which use X-rays to create images of the breast, work well for many, yet they struggle when breast tissue is dense. In dense tissue, both healthy cells and potential tumors appear white, making it difficult to distinguish between them. This limitation means that early cancers can hide in plain sight, leading to diagnoses only after the disease has advanced. To address this, medical guidelines recommend an additional screening method called magnetic resonance imaging, or MRI, for women with a high lifetime risk of developing the disease. Unlike mammograms, MRI uses powerful magnets and radio waves to create detailed images that are far better at spotting early tumors in dense tissue. Despite clear recommendations from major medical organizations, many women who qualify for this extra layer of protection never receive it. The gap between what is recommended and what actually happens suggests that the problem is not a lack of medical evidence, but rather a breakdown in how the system delivers care.

A team of researchers at Columbia University in New York City set out to understand exactly where this breakdown occurs. They conducted a series of in-depth conversations with twenty women at high risk for breast cancer and seventeen healthcare providers, including primary care doctors, gynecologists, radiologists, and genetic counselors. Rather than simply counting how many people got screened, the researchers asked open-ended questions to uncover the real-world obstacles that prevent women from getting the care they need. They wanted to know who is responsible for ordering the test, what information is missing, and what fears or logistical hurdles stop patients from moving forward. The goal was to use these insights to build a better digital tool that could guide both doctors and patients through the complex process of risk assessment and screening.

The researchers found that the responsibility for starting the conversation about MRI screening is scattered across different specialists, leaving no single person in charge. In many cases, primary care doctors and gynecologists feel they should refer high-risk patients to a specialist, while radiologists believe the referring doctor should make the decision. This creates a gap where the patient falls through the cracks, with each professional assuming someone else will handle the next step. One primary care doctor described feeling like a technician who coordinates care rather than a participant who manages risk, while a radiologist noted that they do not have a clear pathway to follow if a test comes back positive. This fragmentation means that unless a patient happens to see a specialist who takes the lead, the recommendation for an MRI often never gets made.

Beyond the confusion over who should act, both doctors and patients face significant barriers related to knowledge and time. Many primary care providers expressed uncertainty about which risk assessment tools to use or how to interpret the results, noting that they simply do not have enough time during a standard appointment to work through complex calculations. They also worry about the financial burden on patients, as insurance coverage for these scans can be unpredictable. Patients, for their part, described a mix of anxiety and confusion. Some feared the physical discomfort of the machine, while others worried about false alarms that could lead to unnecessary procedures. A few held misconceptions about the technology itself, such as believing that MRI scans involve radiation or that removing jewelry was a matter of life and death. These fears were often compounded by a lack of clear, accessible information that could explain what to expect.

The study also highlighted a strong desire for clearer, consolidated guidance. Providers told the researchers that if they had a simple, automated way to see a patient's risk level and a clear set of instructions on what to do next, they would be much more likely to order the screening. Patients echoed this need, stating that having a specialist explain their specific risk factors made the decision to undergo screening feel less abstract and more manageable. The researchers concluded that the solution lies in integrating these missing pieces directly into the clinical workflow. They are developing a new digital module that will calculate a patient's risk automatically, provide doctors with concise guidelines, and offer patients plain-language education to demystify the process. By addressing the structural confusion and the information gaps simultaneously, the team hopes to ensure that high-risk women receive the early detection tools they need, turning a fragmented system into a coordinated path toward better health.

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