Background: Understanding patient pathways from discovery of breast symptoms to treatment start can aid in identifying ways to improve access to timely cancer care. This study aimed to describe the patient pathways experienced by uninsured women from detection to treatment initiation for breast cancer in Mexico City and estimate the potential impact of earlier treatment on patient survival.
Methods: We used process mining, a data analytics technique, to create maps of the patient pathways. We then compared the waiting times and pathways between patients who initially consulted a private service versus those who sought care at a public health service. Finally, we conducted scenario modelling to estimate the impact of early diagnosis and treatment on patient survival.
Results: Our study revealed a common pathway followed by breast cancer patients treated at the two largest public cancer centres in Mexico City. However, patients who initially sought care in private clinics experienced shorter mean wait times for their first medical consultation (66 vs 88 days), and diagnostic confirmation of cancer (57 vs 71 days) compared to those who initially utilized public clinics. Our scenario modelling indicated that improving early diagnosis to achieve at least 60% of patients starting treatment at early stages could increase mean patient survival by up to two years.
Conclusion: Our study highlights the potential of process mining to inform healthcare policy for improvement of breast cancer care in Mexico. Also, our findings indicate that reducing diagnostic and treatment intervals for breast cancer patients could result in substantially better patient outcomes.
Policy Summary: This study revealed significant differences in time intervals along the pathways of women with breast cancer according to the type of health service first consulted by the patients: whether public primary care clinics or private doctors. Policies directed to reduce these inequities in access to timely cancer care are desperately needed to reduce socioeconomic disparities in breast cancer survival.
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http://dx.doi.org/10.1016/j.jcpo.2024.100482 | DOI Listing |
JAMA Surg
January 2025
Breast Unit, Department of General Surgery, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Türkiye.
Importance: Increasing evidence supports the oncologic safety of de-escalating axillary surgery for patients with breast cancer after neoadjuvant chemotherapy (NAC).
Objective: To evaluate the oncologic outcomes of de-escalating axillary surgery among patients with clinically node (cN)-positive breast cancer and patients whose disease became cN negative after NAC (ycN negative).
Design, Setting, And Participants: In the NEOSENTITURK MF-1803 prospective cohort registry trial, patients from 37 centers with cT1-4N1-3M0 disease treated with sentinel lymph node biopsy (SLNB) or targeted axillary dissection (TAD) alone or with ypN-negative or ypN-positive disease after NAC were recruited between February 15, 2019, and January 1, 2023, and evaluated.
JAMA Netw Open
January 2025
Division of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, Massachusetts.
Importance: CHEK2 pathogenic and likely pathogenic variants (PVs) are common, and low-risk (LR) variants, p.I157T, p.S428F, and p.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Medical Oncology, The Ottawa Hospital Cancer Centre, University of Ottawa Faculty of Medicine, Ottawa, Ontario, Canada.
Importance: Evolving breast cancer treatments have led to improved outcomes but carry a substantial financial burden. The association of treatment costs with the cost-effectiveness of screening mammography is unknown.
Objective: To determine the cost-effectiveness of population-based breast cancer screening in the context of current treatment standards.
JAMA Netw Open
January 2025
Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston.
Importance: Cardiovascular disease (CVD) and cancer are the leading causes of mortality in the US. Large-scale population-based and mechanistic studies support a direct effect of CVD on accelerated tumor growth and spread, specifically in breast cancer.
Objective: To assess whether individuals presenting with advanced breast cancers are more likely to have prevalent CVD compared with those with early-stage breast cancers at the time of diagnosis.
Mol Diagn Ther
January 2025
Department of Breast Surgery, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Jinghua Road No. 24, Luoyang, 471000, China.
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