Background: Regular mammogram screening for eligible average risk women has been associated with early detection and reduction of cancer morbidity and mortality. Delayed follow-up and resolution of abnormal mammograms limit early detection efforts and can cause psychological distress and anxiety.
Objective: The goal of this study was to gain insight from women's narratives into how organizational factors related to communication and coordination of care facilitate or hinder timely follow-up for abnormal mammogram results.
Design: We conducted 61 qualitative in-person interviews with women from four race-ethnic groups (African American, Chinese, Latina, and White) in three different healthcare settings (academic, community, and safety-net).
Participants: Eligible participants had an abnormal mammogram result requiring breast biopsy documented in the San Francisco Mammography Registry in the previous year.
Approach: Interview narratives included reflections on experience and suggested improvements to communication and follow-up processes. A grounded theory approach was used to identify themes across interviews.
Key Results: Participants' experiences of follow-up and diagnosis depended largely on communication processes. Twenty-one participants experienced a follow-up delay (> 30 days between index mammogram and biopsy). Organizational factors, which varied across different institutions, played key roles in effective communication which included (a) direct verbal communication with the ability to ask questions, (b) explanation of medical processes and terminology avoiding jargon, and (c) use of interpretation services for women with limited English proficiency.
Conclusion: Health organizations varied in their processes for abnormal results communication and availability of support staff and interpretation services. Women who received care from institutions with more robust support staff, such as bilingual navigators, more often than not reported understanding their results and timely abnormal mammogram follow-up. These reports were consistent across women from diverse ethnic groups and suggest the value of organizational support services between an abnormal mammogram and resolution for improving follow-up times and minimizing patient distress.
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http://dx.doi.org/10.1007/s11606-020-05972-2 | DOI Listing |
Curr Med Imaging
January 2025
Department of Pathology, Affiliated Jinhua Hospital Zhejiang University School of Medicine, Jinhua, Zhejiang, 32100, P. R. China.
Introduction: Mucinous Cystadenocarcinoma (MCA) of the breast remains a relatively rare condition, and to date, there is no systematic summary of its imaging manifestations. Therefore, this report presents a detailed account of the diagnosis and treatment of mucinous cystadenocarcinoma in a 40-year-old woman, with a particular focus on imaging findings. Additionally, we conducted a comprehensive literature review on this disease and summarized its key imaging features.
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January 2025
Department of Pathology and Laboratories, University Hospital Fundación Santa Fe de Bogotá, Bogotá, DC, Colombia.
Background: Adenoid cystic carcinoma of the breast is a rare subtype, constituting less than 3.5% of primary breast carcinomas. Despite being categorized as a type of triple-negative breast cancer, it generally has a favorable prognosis.
View Article and Find Full Text PDFEur Radiol
December 2024
Canisius Wilhelmina Hospital, Weg door Jonkerbos 100, 6532 SZ, Nijmegen, The Netherlands.
Objectives: Quality control in breast cancer screening programmes has been subject of several studies. However, less is known about the clinical diagnostic work-up in recalled women with a suspicious finding at screening mammography. The current study focuses on interhospital differences in diagnostic work-up strategies.
View Article and Find Full Text PDFHong Kong Med J
December 2024
Department of Imaging and Interventional Radiology, Prince of Wales Hospital, Hong Kong SAR, China.
Introduction: Research concerning artificial intelligence in breast cancer detection has primarily focused on population screening. However, Hong Kong lacks a population-based screening programme. This study aimed to evaluate the potential of artificial intelligence-based computer-assisted diagnosis (AI-CAD) program in symptomatic clinics in Hong Kong and analyse the impact of radio-pathological breast cancer phenotype on AI-CAD performance.
View Article and Find Full Text PDFAJR Am J Roentgenol
December 2024
Department of Radiology, Research Institute of Radiology, Asan Medical Center, College of Medicine, University of Ulsan, Seoul, Republic of Korea.
Nonmass lesions (NMLs) on breast ultrasound lack clear definition and encompass a broad range of benign and malignant entities. Given anticipated inclusion of NMLs in the BI-RADS 6th edition, thorough understanding of these lesions will be critical for optimal management. To evaluate interreader agreement for classification of lesions on breast ultrasound as NMLs and to identify imaging features associated with malignancy in these lesions.
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