Factors Associated With Breast Cancer Surgery Delay Within a Coordinated Multihospital Community Health System: When Does Surgical Delay Impact Outcome?

Breast cancer treatment modalities, treatment delays, and survival in Brunei Darussalam

INTRODUCTION

Breast cancer remains a leading cause of cancer-related mortality globally. This study aims to examine the demographic variables and effects of different treatment modalities and treatment delays on overall and relative survival rates of breast cancer patients in Brunei Darussalam.

METHODS

This retrospective study analysed data from the Brunei Darussalam Cancer Registry on breast cancer cases diagnosed and treated between 2013 and 2022. Statistical analyses included descriptive statistics to characterise the study population, Kaplan-Meier estimates to compare survival curves of different groups, Log rank tests to determine significant differences in survival rates among groups, and Cox Proportional Hazard (PH) models to estimate hazard ratios (HRs) and identify predictors of survival outcomes. Overall survival (OS) and relative survival (RS) rates were calculated.

RESULTS

Out of the 431 women treated for breast cancer, the majority were diagnosed at the regional stage (45.7%), with 39.0% at the localised stage. Over half (55.4%) of the diagnoses occurred in women aged 40 to 59, while about a quarter (25.5%) were in the 60-69 age group. Surgery was the most common first-line treatment modality (55.9%), with a median time to treatment of 37 days, followed by chemotherapy (30.6%). More than half of the patients (62.9%) were treated within 60 days of diagnosis. Treatment varied by age and cancer stage, with younger patients more likely to undergo surgery and older patients more likely to receive chemotherapy or hormonal therapy. Survival rates were high for patients receiving only surgery (5-year RS: 98.7%, OS: 92.3%), and significant survival differences were found for cancer stage and treatment delay, with a HR of 2.5 for delays over 60 days. Multivariate analysis showed that patients with distant stage cancer had a significantly higher risk of death (HR = 15.3) compared to localised stage.

CONCLUSION

This study highlights the impact of treatment modalities and delays on breast cancer survival in Brunei Darussalam, emphasising the need for timely treatment to improve survival rates. Our findings suggest that ensuring breast cancer treatment initiation within two months post-diagnosis may enhance patient outcomes, supporting potential policy targets for timely access to care.

Disparities in timely surgery among Asian American women with breast cancer

BACKGROUND

We investigated the likelihood of timely surgery for breast cancer patients among diverse Asian subgroups.

METHODS

We analyzed the National Cancer Database from 2010 to 2019 and included White and Asian women diagnosed with stage I-III breast cancer. Patients with multiple cancers, patients who received chemotherapy, and those diagnosed and treated at different hospitals were excluded. The primary outcome was timely surgery within 8 weeks of diagnosis. Race was the primary independent variable. Asian Americans were stratified by geography.

RESULTS

A total of 716,701 women were analyzed, with 3.5% Asians. Delayed surgery was experienced by 13.2% of women. Adjusted analysis indicated no difference in receiving timely surgery between all Asians and Whites. However, Southeast Asians were less likely to undergo timely surgery compared to Whites (OR 0.75, 95% CI 0.67-0.84).

CONCLUSIONS

Variations among Asian ethnicities emphasize the need to explore treatment patterns to address disparities in breast cancer care.

A latent class assessment of healthcare access factors and disparities in breast cancer care timeliness

BACKGROUND

Delays in breast cancer diagnosis and treatment lead to worse survival and quality of life. Racial disparities in care timeliness have been reported, but few studies have examined access at multiple points along the care continuum (diagnosis, treatment initiation, treatment duration, and genomic testing).

METHODS AND FINDINGS

The Carolina Breast Cancer Study (CBCS) Phase 3 is a population-based, case-only cohort (n = 2,998, 50% black) of patients with invasive breast cancer diagnoses (2008 to 2013). We used latent class analysis (LCA) to group participants based on patterns of factors within 3 separate domains: socioeconomic status ("SES"), "care barriers," and "care use." These classes were evaluated in association with delayed diagnosis (approximated with stages III-IV at diagnosis), delayed treatment initiation (more than 30 days between diagnosis and first treatment), prolonged treatment duration (time between first and last treatment-by treatment modality), and receipt of OncotypeDx genomic testing (evaluated among patients with early stage, ER+ (estrogen receptor-positive), HER2- (human epidermal growth factor receptor 2-negative) disease). Associations were evaluated using adjusted linear-risk regression to estimate relative frequency differences (RFDs) with 95% confidence intervals (CIs). Delayed diagnosis models were adjusted for age; delayed and prolonged treatment models were adjusted for age and tumor size, stage, and grade at diagnosis; and OncotypeDx models were adjusted for age and tumor size and grade. Overall, 18% of CBCS participants had late stage/delayed diagnosis, 35% had delayed treatment initiation, 48% had prolonged treatment duration, and 62% were not OncotypeDx tested. Black women had higher prevalence for each outcome. We identified 3 latent classes for SES ("high SES," "moderate SES," and "low SES"), 2 classes for care barriers ("few barriers," "more barriers"), and 5 classes for care use ("short travel/high preventive care," "short travel/low preventive care," "medium travel," "variable travel," and "long travel") in which travel is defined by estimated road driving time. Low SES and more barriers to care were associated with greater frequency of delayed diagnosis (RFDadj = 5.5%, 95% CI [2.4, 8.5]; RFDadj = 6.7%, 95% CI [2.8,10.7], respectively) and prolonged treatment (RFDadj = 9.7%, 95% CI [4.8 to 14.6]; RFDadj = 7.3%, 95% CI [2.4 to 12.2], respectively). Variable travel (short travel to diagnosis but long travel to surgery) was associated with delayed treatment in the entire study population (RFDadj = 10.7%, 95% CI [2.7 to 18.8]) compared to the short travel, high use referent group. Long travel to both diagnosis and surgery was associated with delayed treatment only among black women. The main limitations of this work were inability to make inferences about causal effects of individual variables that formed the latent classes, reliance on self-reported socioeconomic and healthcare history information, and generalizability outside of North Carolina, United States of America.

CONCLUSIONS

Black patients face more frequent delays throughout the care continuum, likely stemming from different types of access barriers at key junctures. Improving breast cancer care access will require intervention on multiple aspects of SES and healthcare access.

Surgeon and Care Team Network Measures and Timely Breast Cancer Treatment

Importance

Cancer treatment delay is a recognized marker of worse outcomes. Timely treatment may be associated with physician patient-sharing network characteristics, yet this remains understudied.

Objective

To examine the associations of surgeon and care team patient-sharing network measures with breast cancer treatment delay.

Design, Setting, and Participants

This cross-sectional study of Medicare claims in a US population-based setting was conducted from 2017 to 2020. Eligible participants included patients with breast cancer who received surgery and the subset who went on to receive adjuvant therapy. Patient-sharing networks were constructed for treating physicians. Data were analyzed from September 2023 to February 2024.

Exposures

Surgeon linchpin score (a measure of local uniqueness or scarcity) and care density (a measure of physician team familiarity) were assessed. Surgeons were considered linchpins if their linchpin score was in the top 15%. The care density of a patient's physician team was calculated on preoperative teams for surgically-treated patients and postoperative teams for adjuvant therapy-receiving patients.

Main Outcomes and Measures

The primary outcomes were surgical and adjuvant delay, which were defined as greater than 60 days between biopsy and surgery and greater than 60 days between surgery and adjuvant therapy, respectively.

Results

The study cohort included 56 433 patients (18 004 aged 70-74 years [31.9%]) who were mostly from urban areas (44 931 patients [79.6%]). Among these patients, 8009 (14.2%) experienced surgical delay. Linchpin surgeon status (locally unique surgeon) was not statistically associated with surgical delay; however, patients with high preoperative care density (ie, high team familiarity) had lower odds of surgical delay compared with those with low preoperative care density (odds ratio [OR], 0.58; 95% CI, 0.53-0.63). Of the 29 458 patients who received adjuvant therapy after surgery, 5700 (19.3%) experienced adjuvant delay. Patients with a linchpin surgeon had greater odds of adjuvant delay compared with those with a nonlinchpin surgeon (OR, 1.30; 95% CI, 1.13-1.49). Compared with those with low postoperative care density, there were lower odds of adjuvant delay for patients with high postoperative care density (OR, 0.77; 95% CI, 0.69-0.87) and medium postoperative care density (OR, 0.85; 95% CI, 0.77-0.94).

Conclusions and Relevance

In this cross-sectional study of Medicare claims, network measures capturing physician scarcity and team familiarity were associated with timely treatment. These results may help guide system-level interventions to reduce cancer treatment delays.

The Association Between Oncology Outreach and Timely Treatment for Rural Patients with Breast Cancer: A Claims-Based Approach

BACKGROUND

Oncology outreach is a common strategy for increasing rural access to cancer care, where traveling oncologists commute across healthcare settings to extend specialized care. Examining the extent to which physician outreach is associated with timely treatment for rural patients is critical for informing outreach strategies.

METHODS

We identified a 100% fee-for-service sample of incident breast cancer patients from 2015 to 2020 Medicare claims and apportioned them into surgery and adjuvant therapy cohorts based on treatment history. We defined an outreach visit as the provision of care by a traveling oncologist at a clinic outside of their primary hospital service area. We used hierarchical logistic regression to examine the associations between patient receipt of preoperative care at an outreach visit (preoperative outreach) and > 60-day surgical delay, and patient receipt of postoperative care at an outreach visit (postoperative outreach) and > 60-day adjuvant delay.

RESULTS

We identified 30,337 rural-residing patients who received breast cancer surgery, of whom 4071 (13.4%) experienced surgical delay. Among surgical patients, 14,501 received adjuvant therapy, of whom 2943 (20.3%) experienced adjuvant delay. In adjusted analysis, we found that patient receipt of preoperative outreach was associated with reduced odds of surgical delay (odds ratio [OR] 0.75, 95% confidence interval [CI] 0.61-0.91); however, we found no association between patient receipt of postoperative outreach and adjuvant delay (OR 1.04, 95% CI 0.85-1.25).

CONCLUSIONS

Our findings indicate that preoperative outreach is protective against surgical delay. The traveling oncologists who enable such outreach may play an integral role in catalyzing the coordination and timeliness of patient-centered care.

Localised breast cancer: neoadjuvant chemotherapy impact evaluation on the pathological complete response (PCR) in a lower middle-income country

Introduction

Neoadjuvant chemotherapy followed by surgery remains the current recommended therapeutic strategy for the management of locally advanced breast cancer. The standard chemotherapy protocol is sequential with anthracycline followed by taxanes. However public hospitals in Morocco are confronted with a shortage in healthcare products. We, therefore, evaluated the efficacy of the different protocols proposed to patients, by evaluating the clinical response after chemotherapy especially through the pathological complete response (PCR) after surgery.

Methods

We focused on the database of the medical oncology department of the only public hospital covering middle and southern Morocco. We included patients diagnosed between 2018 and 2020. Two groups of patients distinguished in group A (GA) received the standard therapy, and group B (GB) received a non-standard protocol. The therapeutic response was assessed clinically before surgery and then by pathological examination of the surgical specimens. The Sataloff classification defined the histological response for both tumour and lymph nodes. We included both groups in one variable to determine their impact on outcomes. A logistic regression-based analysis was adopted to define variables related to the PCR.

Results

Over the study period, 120 patients met our inclusion criteria. They were distinguished at 72% in GA and 28% in GB. 60.8% over 120 got a partial response, whereas, only 33.3% achieved a complete response. The general PCR rate was 28% with 14.3% in GB and 85.7% in GA. The tumour PCR was obtained in 40 (33.3%) over 120 patients and 51.7% of lymph node PCR. The multivariate logistic regression analysis results show no relative factors associated with general PCR achievement.

Conclusion

These first interesting results from an institutional database inform us about our clinical practice and require additional research using prospective randomised controlled studies.

Additional occult cancers identified on staging breast MRI: imaging appearances and pathologic characteristics

INTRODUCTION

Breast magnetic resonance imaging (MRI) is increasingly being used for staging of patients with breast cancer due to its high sensitivity in detecting additional cancers (ACs). However, the clinical impact of diagnosing and treating these cancers remains unclear.

METHODS

A retrospective study was undertaken of patients with newly diagnosed breast cancer who underwent staging MRI at The American University of Beirut Medical Centre (AUBMC) between 2012 and 2020. Pathology reports and breast MRI examinations were reviewed. Eighteen breast cancer patients with 19 pathology-proven index cancers (ICs) and 19 pathology-proven MRI-detected ACs were included. Chi-square and Fisher's exact tests for categorical variables and Wilcoxon signed rank test for numerical variables were used to compare ICs to ACs.

RESULTS

The ICs consisted of four ductal carcinoma in situ (DCIS), 13 invasive ductal carcinomas (IDC), of which five with associated DCIS, and two invasive lobular carcinomas, (ILC) of which one with associated DCIS. ACs comprised 12 DCIS, five IDC, two with associated DCIS and two ILC, one with associated DCIS. Interval cancers were more frequently invasive whereas ACs were more frequently in situ (P = 0.021). ACs were more frequently nuclear grade 2 (P = 0.009). There was no statistically significant difference between ICs and ACs in lesion type (P = 0.062), shape (P = 0.073), initial enhancement (P = 1), delayed enhancement (P = 0.732), hormonal receptor profile (P = 0.68) and Ki67 (P = 0.388). Among ACs, ten (53%) were larger than 10 mm of which five (26%) were invasive cancers, and five (26%) were larger than the ICs.

CONCLUSIONS

ACs detected by breast MRI were more likely to be in situ and to show a nuclear grade 2. Although not reaching statistical significance, some ACs tend to be clinically significant by their type, size or nuclear grade. The impact on clinical management remains to be determined.

Diagnostic and pre-treatment intervals among patients with cervical cancer attending care at the Uganda Cancer Institute: a cross-sectional study

BACKGROUND

Majority of patients with cervical cancer in the low- and middle-income countries experience long diagnostic and pre-treatment intervals. This study sought to determine the factors associated with the diagnostic and pre-treatment intervals among patients with cervical cancer.

METHODS

This was a cross-sectional study conducted at the Uganda Cancer Institute (UCI) during October 2019 to January 2020. Patients aged ≥ 18 years with histological diagnosis of cervical cancer were consecutively sampled. Data were collected using a pre-tested semi-structured questionnaire and a data abstraction form. Diagnostic intervals, defined as the time between first visit of a patient to a primary healthcare provider to time of getting confirmed diagnosis, of ≤ 3 months was defined as early & >3 months as late. Pre-treatment intervals, which is the time from histological diagnosis to starting cancer chemo-radiotherapy of ≤ 1 month was defined as early and > 1 month as late. Data were analysed using STATA version 14.0. We used modified Poisson regression models with robust variance to determine socio-demographic and clinical factors associated with the intervals.

RESULTS

The mean age of the participants was 50.0 ± 11.7 years. The median diagnostic and pre-treatment intervals were 3.1 (IQR: 1.4-8.2) months and 2.4 (IQR: 1.2-4.1) months respectively. Half of the participants, 49.6% (200/403) were diagnosed early; one in 5 patients, 20.1% (81/403) promptly (within one month) initiated cancer chemo-radiotherapy. Participants more likely to be diagnosed early included those referred from district hospitals (level 5) (aPR = 2.29; 95%CI: 1.60-3.26) and with squamous cell carcinomas (aPR = 1.55; 95%CI: 1.07-2.23). Participants more likely to be diagnosed late included those who first discussed their symptoms with relatives, (aPR = 0.77; 95%CI: (0.60-0.98), had > 2 pre-referral visits (aPR = 0.75; 95%CI (0.61-0.92), and had advanced stage (stages 3 or 4) (aPR = 0.68; 95%CI: 0.55-0.85). Participants more likely to initiate cancer chemo-radiotherapy early included older patients (≥ 60 years) (aPR = 2.44; 95%CI: 1.18-5.03). Patients likely to start treatment late were those who had ≥2 pre-referral visits  (aPR = 0.63; 95%CI: 0.41-0.98) and those that took 3 - 6 months with symptoms before seeking healthcare (aPR = 0.52;95%CI: 0.29 - 0.95).

CONCLUSION

Interventions to promote prompt health-seeking and early diagnosis of cervical cancer need to target primary healthcare facilities and aim to enhance capacity of primary healthcare professionals to promptly initiate diagnostic investigations. Patients aged < 60 years require targeted interventions to promote prompt initiation of chemo-radiation therapy.

Factors associated with diagnostic and pre-treatment intervals among breast cancer patients attending care at the Uganda Cancer Institute: A cross-sectional study

BACKGROUND

Most breast cancer (BC) patients in Uganda are diagnosed with advanced-stage disease and experience poor outcomes. This study examined the diagnostic and pre-treatment intervals and factors associated with these intervals among BC patients attending care at the Uganda Cancer Institute (UCI).

METHODS

This was a cross-sectional, facility-based study. Data were collected using structured questionnaire administered by trained research assistants and analyzed using STATA version 14.0. Modified Poisson regressions models were used to determine the strength of associations between independent variables and diagnostic and pre-treatment intervals.

RESULTS

The mean age (±SD) of the 401 participants was 47.1 ± 11.7 years. Four in 10 participants had stage III (41.9%; n = 168) and over a third (34.7%; n = 140) stage IV cancers. The median interval from first consultation to diagnosis, i.e. diagnostic interval (DI) was 5.6 months (IQR: 1.5-17.0), while the median interval from histological diagnosis to start of chemotherapy, i.e. pre-treatment interval (PTI) was 1.7 months (IQR: 0.7-4.5). Majority (85%, n = 341) of participants were diagnosed at ≥3 months from first consultation with clinicians. Participants with tertiary education and those who lived within 100-199 km from the UCI were about four times and twice more likely to be diagnosed early (DI <3 months from first consultation) ([aPR = 3.88; 95% CI: 1.15-13.0] and [aPR = 2.19; 95% CI: 1.06-4.55]), respectively. About half (48.3%; n = 176) of participants started chemotherapy within 1 month of cancer diagnosis. Patients who lived more than 300 km from the UCI were less likely to start chemotherapy within 1 month of histology diagnosis of cancer. [Correction added on October 17, 2023 after first online publication. The term ', i.e.' has been included in the results section in this version.] CONCLUSION: Majority of breast cancer patients are diagnosed late and in advanced stages. There is need to promote all efforts toward timely diagnosis when cancers are still in early stages by identifying factors responsible for prolonged diagnostic intervals among breast cancer patients.

Predictive Factors for Cancer Treatment Delay in a Racially Diverse and Socioeconomically Disadvantaged Urban Population

PURPOSE

Incremental delays in time to treatment initiation (TTI) have been shown to cause a proportional, increased independent risk of disease-specific mortality for breast cancer, colorectal cancer (CRC), head and neck cancer (HNC), non–small-cell lung cancer (NSCLC), and pancreatic cancer. Studies suggest that delays are associated with racial and socioeconomic disparities. We evaluated associations between patient factors and TTI to identify those associated with delay.

MATERIALS AND METHODS

This is a retrospective cohort study at an urban community-based academic center of patients diagnosed with or referred for curative-intent treatment of breast cancer, CRC, HNC, NSCLC, and pancreatic cancer from January 2019 to December 2021. Variables of interest included Charlson Comorbidity Index (CCI) score, insurance type, language preference, and inpatient admission 30 days before diagnosis. Factors associated with TTI delay, defined as TTI ≥ 30 days, were assessed using multivariable logistic regression.

RESULTS

Among 2,543 patients (69% female), the mean age was 63.4 years and the median TTI was 25 days (IQR, 6-44). Within multivariable models, patients treated as outpatient and not admitted 30 days before diagnosis experienced statistically significant greater delay for CRC (odds ratio [OR], 2.82; 95% CI, 1.71 to 4.66) and NSCLC (OR, 2.11; 95% CI, 1.31 to 3.39). Higher CCI score was associated with delay for HNC (OR, 2.63; 95% CI, 1.04 to 6.66) and NSCLC (OR, 1.75; 95% CI, 1.14 to 2.71). For breast cancer, uninsured and Spanish-speaking patients (OR, 1.79; 95% CI, 1.21 to 2.67) experienced increased TTI.

CONCLUSION

Care coordination/compliance (eg, inpatient 30 days before diagnosis), clinical (eg, medical comorbidities), and socioeconomic (eg, uninsured status) predictors for delayed TTI were identified and may inform delay minimizing interventions. Our data support evidence that TTI delays are associated with demographic and socioeconomic disparities. Existing disparities are likely exacerbated by delays that disproportionately affect patients with care coordination/compliance issues, multiple comorbidities, and lower socioeconomic status.

Optimizing the Timeliness of Surgical Therapy in Patients with Breast Cancer Undergoing Immediate Breast Reconstruction

BACKGROUND

In breast cancer, coordination of surgical therapy with immediate breast reconstruction (IBR) has been found to significantly delay surgical therapy, which in turn can have an adverse effect on patient survival. The objective of this study was to investigate factors that impact the timeliness of surgical therapy in this setting, which may help to optimize the care of patients with breast cancer.

PATIENTS AND METHODS

Patients with breast cancer undergoing surgical therapy for breast cancer and immediate reconstruction were reviewed. Patients were divided into two groups: those who underwent surgery ≤ 30 days (group A) and > 30 days (group B) after diagnosis. Multivariate statistical analysis of demographic, disease, surgical, and process of care factors was performed.

RESULTS

A total of 348 cases met inclusion criteria, of which 255 (73.2%) were in group A and 93 (26.7%) were in group B. No significant differences were identified in clinical stage, oncologic procedure, or type of reconstruction. On multivariate analysis, an increased likelihood of undergoing surgery ≤ 30 days of diagnosis was observed, with shorter time intervals between surgical oncologist and plastic surgeon consultations [odds ratio (OR) 1.3; 95% confidence interval (CI) 1.1-1.6, p = 0.011]. The number of operating days in common between the surgical oncologist and plastic surgeon nor having the same clinic day impacted timeliness.

CONCLUSIONS

Patients may undergo both breast conservation surgery and mastectomy with all major types of immediate reconstruction in a timely manner. Early initiation of plastic surgery referrals and surgeon flexibility to work outside the parameters of institutional schedules may help facilitate the timeliness of surgery.

Evaluating the impact of COVID-19 on cancer declarations in Quebec, Canada

BACKGROUND

COVID-19 affected healthcare worldwide, limited access to healthcare, and delayed cancer screening and diagnosis. In this study, the effect of the first year of COVID-19 was determined on cancer diagnoses in the province of Quebec, Canada.

METHODS

Data were collected from the 13 Quebec Cancer Registry health institutions. Newly diagnosed cancer declarations in the first year of the COVID-19 (April 2020-March 2021) were compared with the reference periods (averages of 3 previous years). The main focus was on four leading cancers: lung, prostate, colorectal, and breast cancers. Generalized regression models with a poisson approximation and interrupted time series (ITS) analysis were used. Underestimated cases were presented in terms of relative risk (RR) and 95% confidence intervals (CI). The changes in the stage-specific counts were also assessed in each of the four cancers. Results were illustrated separately for the first 4 months of the pandemic (first wave).

FINDINGS

This study estimated an overall under-reporting of 15.3% (29,019 vs. 24,584) of declarations. This under-reporting was evident across all age groups above 35 years (p < 0.0001), four primary cancers (p < 0.0001), all stages of cancers (p < 0.0001), and both sexes (p < 0.0001). Based on the relative risks, stage-specific lung cancer counts were underestimated by 5%-34% in the first wave (0%-11% in the first year), prostate cancer by 16%-46% in the first wave (0%-25% in the first year), colorectal cancer 15%-45% in the first wave (0%-24% in the first year), and breast cancer 3%-45% in the first wave and (0%-28% in the first year). However, no stage-IV cancers were statically under-reported compared to the pre-pandemic era and not even in the first wave.

INTERPRETATION

Cancer diagnosis was underestimated due to the COVID-19 pandemic in the first year; this effect was more evident in the first phase of the pandemic in Quebec. Further research is required to determine the accurate burden of the disease in the long term.

Perspectives of Wisconsin Providers on Factors Influencing Receipt of Post-Mastectomy Breast Reconstruction

BACKGROUND

The objective is to determine perspectives of general surgeons, plastic surgeons, and cancer navigators on factors contributing to breast cancer patients' decision for post-mastectomy reconstruction, especially for women facing financial hardship.

METHODS

We mailed Wisconsin general and plastic surgeons who performed >5 breast cancer procedures annually a survey, including a postcard inviting cancer navigators to participate. Descriptive statistics summarize item responses. McNemar's chi-squared tests evaluated surgeons' perspectives of factors influencing reconstruction for all women compared to women facing financial hardship.

RESULTS

Respondents include 70 general surgeons, 18 plastic surgeons, and 9 navigators. Respondents perceived preference-related factors as important, including "does not want more surgery" (85% reported it important overall and 77% for financial hardship women) and "reconstructed breast is not important to her" (77% vs. 61%). Surgeons perceived logistical factors were more important for women facing financial hardship, including "capacity to be away from work or home responsibilities for recovery" (30% reported important overall and 60% for financial hardship women), "concerned about out-of-pocket costs" (26% vs. 57%), and "frequent visits to complete reconstruction too burdensome" (27% vs. 49%).

CONCLUSION

Our findings demonstrate Wisconsin surgeons and cancer navigators perceive logistical concerns influence reconstruction decisions for women facing financial hardship.

Highly specialized Breast Centers did not experience delay of care during COVID-19 pandemic in Italy: the Senonetwork experience

Aim of the study

The study aims to evaluate the performance of selected, high-volume, highly specialized, Italian Breast Centers at the time of COVID-19 pandemic (year 2020), compared to pre-pandemic time (year 2019), highlighting differences in terms of clinical presentation of breast cancer (BC) and therapeutic strategies.

Methods

Patients’ data were provided by the Senonetwork data warehouse Senonet. In order to examine changes in the surgical and oncological management of BC patients during different phases of COVID-19 pandemic, we took advantage of a selection quality indicators (QIs). We performed the analyses in two time-frames, from July to September (Jul-Sep) (2019 versus 2020) and from October to December (Oct-Dec) (2019 versus 2020).

Results

Our analysis did not show any statistically significant difference in terms of diagnosis, surgical, oncological and radiation therapy procedures between the two trimesters 2019 and 2020. Nevertheless, we observed statistically significant differences, favoring 2020, when analyzing time-to surgery and time-to radiotherapy. On the other hand, we observed a significant reduction of neoadjuvant chemotherapy and we did not recollect any data on a major use of neoadjuvant endocrine therapy.

Conclusions

In Italian Breast Centers, partners of Senonetwork, we could not observe any treatment delay or change in standard clinical practice for BC care during the 2020 pandemic year, compared to 2019 pre-pandemic year. This finding is in contrast with the globally reported decrease in the performance of the Italian Breast Centers due to the COVID-19 pandemic, and has to be linked to the sharp selection of Senonetwork Breast Centers.