Trends in low-value cancer care during the COVID-19 pandemic.

OBJECTIVE: To assess the association between the onset of the COVID-19 pandemic and change in low-value cancer services. STUDY DESIGN: In this retrospective cohort study, we used administrative claims from the HealthCore Integrated Research Environment, a repository of medical and pharmacy data from US health plans representing more than 80 million members, between January 1, 2016, and March 31, 2021. METHODS: We used linear probability models to investigate the relation between the onset of the COVID-19 pandemic and 4 guideline-based metrics of low-value cancer care: (1) conventional fractionation radiotherapy instead of hypofractionated radiotherapy for early-stage breast cancer; (2) non-guideline-based antiemetic use for minimal-, low-, or moderate- to high-risk chemotherapies; (3) off-pathway systemic therapy; and (4) aggressive end-of-life care. We identified patients with new diagnoses of breast, colorectal, and/or lung cancer. We excluded members who did not have at least 6 months of continuous insurance coverage and members with prevalent cancers. RESULTS: Among 117,116 members (median [IQR] age, 60 [53-69] years; 72.4% women), 59,729 (51.0%) had breast cancer, 25,751 (22.0%) had colorectal cancer, and 31,862 (27.2%) had lung cancer. The payer mix was 18.7% Medicare Advantage or Medicare supplemental and 81.2% commercial non-Medicare. Rates of low-value cancer services exhibited minimal changes during the pandemic, as adjusted percentage-point differences were 3.93 (95% CI, 1.50-6.36) for conventional radiotherapy, 0.82 (95% CI, -0.62 to 2.25) for off-pathway systemic therapy, -3.62 (95% CI, -4.97 to -2.27) for non-guideline-based antiemetics, and 2.71 (95% CI, -0.59 to 6.02) for aggressive end-of-life care. CONCLUSIONS: Low-value cancer care remained prevalent throughout the pandemic. Policy makers should consider changes to payment and incentive design to turn the tide against low-value cancer care.

Treatment Patterns and Survival Outcomes in Patients With Breast Cancer on Medicaid, Pre- and Post-Expansion.

BACKGROUND: The objective of this study was to evaluate the impact of Medicaid expansion on breast cancer treatment and survival among Medicaid-insured women in Ohio, accounting for the timing of enrollment in Medicaid relative to their cancer diagnosis and post-expansion heterogeneous Medicaid eligibility criteria, thus addressing important limitations in previous studies. METHODS: Using 2011-2017 Ohio Cancer Incidence Surveillance System data linked with Medicaid claims data, we identified women aged 18 to 64 years diagnosed with local-stage or regional-stage breast cancer (n=876 and n=1,957 pre-expansion and post-expansion, respectively). We accounted for women's timing of enrollment in Medicaid relative to their cancer diagnosis, and flagged women post-expansion as Affordable Care Act (ACA) versus non-ACA, based on their income eligibility threshold. Study outcomes included standard treatment based on cancer stage and receipt of lumpectomy, mastectomy, chemotherapy, radiation, hormonal treatment, and/or treatment for HER2-positive tumors; time to treatment initiation (TTI); and overall survival. We conducted multivariable robust Poisson and Cox proportional hazards regression analysis to evaluate the independent associations between Medicaid expansion and our outcomes of interest, adjusting for patient-level and area-level characteristics. RESULTS: Receipt of standard treatment increased from 52.6% pre-expansion to 61.0% post-expansion (63.0% and 59.9% post-expansion in the ACA and non-ACA groups, respectively). Adjusting for potential confounders, including timing of enrollment in Medicaid, being diagnosed in the post-expansion period was associated with a higher probability of receiving standard treatment (adjusted risk ratio, 1.14 [95% CI, 1.06-1.22]) and shorter TTI (adjusted hazard ratio, 1.14 [95% CI, 1.04-1.24]), but not with survival benefits (adjusted hazard ratio, 1.00 [0.80-1.26]). CONCLUSIONS: Medicaid expansion in Ohio was associated with improvements in receipt of standard treatment of breast cancer and shorter TTI but not with improved survival outcomes. Future studies should elucidate the mechanisms at play.

Health utility values of breast cancer treatments and the impact of varying quality of life assumptions on cost-effectiveness.

In breast cancer research, utility assumptions are outdated and inconsistent which may affect the results of quality adjusted life year (QALY) calculations and thereby cost-effectiveness analyses (CEAs). Four hundred sixty four female patients with breast cancer treated at Erasmus MC, the Netherlands, completed EQ-5D-5L questionnaires from diagnosis throughout their treatment. Average utilities were calculated stratified by age and treatment. These utilities were applied in CEAs analysing 920 breast cancer screening policies differing in eligible ages and screening interval simulated by the MISCAN-Breast microsimulation model, using a willingness-to-pay threshold of €20,000. The CEAs included varying sets on normative, breast cancer treatment and screening and follow-up utilities. Efficiency frontiers were compared to assess the impact of the utility sets. The calculated average patient utilities were reduced at breast cancer diagnosis and 6 months after surgery and increased toward normative utilities 12 months after surgery. When using normative utility values of 1 in CEAs, QALYs were overestimated compared to using average gender and age-specific values. Only small differences in QALYs gained were seen when varying treatment utilities in CEAs. The CEAs varying screening and follow-up utilities showed only small changes in QALYs gained and the efficiency frontier. Throughout all variations in utility sets, the optimal strategy remained robust; biennial for ages 40-76 years and occasionally biennial 40-74 years. In sum, we recommend to use gender and age stratified normative utilities in CEAs, and patient-based breast cancer utilities stratified by age and treatment or disease stage. Furthermore, despite varying utilities, the optimal screening scenario seems very robust.

Investigating sexual health after breast cancer by longitudinal assessment of patient-reported outcomes.

BACKGROUND: Sexual concerns are a major unaddressed need among survivors of breast cancer (BC) with significant negative effects on quality of life. We longitudinally analyzed sexual health over time, using patient-reported outcomes. METHODS: Patients with stage I-III BC prospectively included from the CANcer TOxicity cohort (CANTO) provided data at diagnosis, then 1, 2, and 4 years afterward. Sexual concerns outcomes included poor body image (score ≤91/100), poor sexual functioning (≤16/100), poor sexual enjoyment (≤66/100), and sexual inactivity (EORTC QLQ-B23). Multivariate generalized estimating equation models assessed associations with sexual concerns after diagnosis, adjusting for age, sociodemographic, tumor, treatment, and clinical characteristics. RESULTS: Nearly 78.1% among 7895 patients reported at least one sexual concern between diagnosis and 4 years' follow-up. Over time, the proportion of patients reporting sexual concerns either increased or remained constant with diagnosis. Less than half (46%, range 11.4-57) of the patients with sexual concerns reported the use of supportive care strategies, including gynecological or psychological consultations (range 11.4-57.4). Factors consistently associated with sexual concerns up to 4 years after diagnosis included already reporting the same concern at diagnosis [odds ratio (OR)poor body image 3.48 [95% confidence interval (CI) 3.11-3.89]; ORsexual inactivity 9.94 (95% CI 8.84-11.18), ORpoor sexual function 9.75 (95% CI 8.67-10.95), ORpoorsexual enjoyment 3.96 (95% CI 3.34-4.69)], endocrine therapy use [ORpoor body image 1.15 (95% CI 1.01-1.31); ORsexual inactivity 1.19 (95% CI 1.02-1.39), ORpoor sexual function 1.17 (95% CI 1.01-1.37), ORpoor sexual enjoyment 1.23 (95% CI 1.00-1.53)], and depression [ORpoor body image 2.00 (95% CI 1.72-2.34); ORsexual inactivity 1.66 (95% CI 1.40-1.97), ORpoor sexual function 1.69 (95% CI 1.43-2.00), ORpoor sexual enjoyment 1.94 (95% CI 1.50-2.51)]. Outcome-specific associations were also identified. CONCLUSIONS: Sexual concerns seem frequent, persistent, and insufficiently addressed. Pretreatment concerns, endocrine therapy, and emotional distress are commonly associated factors. A proactive evaluation of sexual health across the care continuum is needed, to promptly identify patients suitable for multidisciplinary counseling, referral, and supportive interventions.

Development of a supportive care framework for breast cancer survivor's unmet needs: A modified Delphi study.

AIM: To establish a supportive care framework for addressing unmet needs among breast cancer survivors, providing practical guidance for healthcare providers to assess and manage these needs, ultimately enhancing the health outcomes and quality of life of breast cancer survivors. DESIGN: We conducted a two-round Delphi survey to gather expert opinions regarding the unmet needs supportive care framework for breast cancer survivors. METHODS: Initial framework identification and inquiry questionnaire creation was achieved via literature search and expert group discussions, which included 15 experts from nursing practice, clinical medicine, nursing management and nursing education was conducted using a Delphi survey. To establish consensus, a two-round Delphi poll was done, using criteria based on the mean (≥4.0), coefficient of variation (CV < 0.25) and percentage for entire score (≥20%). RESULTS: Experts reached a consensus, leading to six care modules, and 28 care entries: Tumour Detection Support (three care entries), Management of Complications of Antitumor Therapy (seven care entries), Healthy Lifestyle Management (five care entries), Sexual and Fertility Support (four care entries), Psychosocial Support (four care entries) and Resource and Linkage Support (five care entries). CONCLUSION: To address breast cancer survivors' unmet needs, a supportive framework was developed to actively enhance their health outcomes. However, further refinement and feasibility testing using mobile devices or artificial intelligence are required. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE: This pioneering framework prioritises addressing unmet needs and equips healthcare providers to assess and manage these needs effectively, facilitating the implementation of programs aimed at improving the well-being of breast cancer survivors. REPORTING METHOD: This study was guided by a modified guideline for the Conducting and Reporting of Delphi Studies (CREDES) (Palliative Medicine, 31(8), 684, 2017). PATIENT OR PUBLIC CONTRIBUTION: No Patient or Public Contribution. TRIAL AND PROTOCOL REGISTRATION: The Delphi study methodology does not require registration.

Catastrophic health expenditures, insurance churn, and non-employment among women with breast cancer.

BACKGROUND: Breast cancer treatment and survivorship entails a complex and expensive continuum of subspecialty care. Our objectives were to assess catastrophic health expenditures, insurance churn, and non-employment among women younger than 65 years who reported a diagnosis of breast cancer. We also evaluated changes in these outcomes related to implementation of the Affordable Care Act. METHODS: The data source for this study was the Medical Expenditure Panel Survey (2005-2019), which is a national annual cross-sectional survey of families, providers, and insurers in the United States. To assess the impact of breast cancer, comparisons were made with a matched cohort of women without cancer. We estimated predicted marginal probabilities to quantify the effects of covariates in models for catastrophic health expenditures, insurance churn, and non-employment. RESULTS: We identified 1490 respondents younger than 65 years who received care related to breast cancer during the study period, representing a weight-adjusted annual mean of 1 062 129 patients. Approximately 31.8% of women with breast cancer reported health expenditures in excess of 10% of their annual income. In models, the proportion of women with breast cancer who experienced catastrophic health expenditures and non-employment was inversely related to increasing income. During Affordable Care Act implementation, mean number of months of uninsurance decreased and expenditures increased among breast cancer patients. CONCLUSIONS: Our study underscores the impact of breast cancer on financial security and opportunities for patients and their families. A multilevel understanding of these issues is needed to design effective and equitable strategies to improve quality of life and survivorship.

Advanced Breast Cancer Guidelines in Latin America: Assessment, Adaptation, and Implementation of Fifth Advanced Breast Cancer Consensus Guidelines.

PURPOSE: As the fifth international consensus on advanced breast cancer (ABC5) established guidelines for the management of this disease, the aim of this article was to present the applicability of the consensus recommendations and to generate knowledge to improve access. METHODS: Sixty-one recommendation statements were selected and discussed by 15 breast cancer experts from Latin America (LA). After the discussion, the level of consensus was determined through a vote. In addition to this, the level of access to each of the recommendations presented, according to the country and health system, was exposed. RESULTS: Latin American experts had a high level of agreement with the ABC5 consensus recommendations (range, 83%-100%). Twelve of 61 statements are not available for all patients in LA. Among the limitations to access, the following ones are described: limited access to certain technologies (stereotactic body radiotherapy, positron emission tomography-computed tomography), the high costs of drugs that limits access to treatment with CDK4/6 inhibitors, pertuzumab, or poly(ADP-ribose) polymerase inhibitors, and the lack of molecular tests for access to therapeutic targets, as well as the difficult geography and cultural diversity of our continent. CONCLUSION: Despite the great relevance of the recommendations of the ABC5 consensus guidelines, we highlight that we still need to improve access for all patients, regardless of the country or health system they are in, for which we call to action to policy makers and patient groups to improve clinical outcomes of patients with advanced breast cancer in our region.

The Impact of Medicaid Expansion Under the Affordable Care Act on the Gap Between American Indians and Whites in Breast Cancer Management and Prognosis.

BACKGROUND: Breast cancer (BC) death rates in the USA have not significantly declined for American Indians (AIs) in comparison to Whites. Our objective was to determine whether Medicaid Expansion as part of the Affordable Care Act led to improved BC outcomes for AIs relative to Whites. PATIENTS AND METHODS: Using the National Cancer Database, we conducted a retrospective cohort study. Included were BC patients who were AI and White; 40 to 64 years of age; diagnosed in 2009 to 2016; lived in states that expanded Medicaid in January 2014, and states that did not expand Medicaid. Our outcomes were stage at diagnosis, insurance status, timely treatment, and 3-year mortality. RESULTS: There were 359,484 newly diagnosed BC patients, 99.49% White, 0.51% AI. Uninsured rates declined more in the expansion states than in the nonexpansion states (OR = 0.44, 95% CI: 0.15-0.97, P < 0.001). Lower rates of Stage I BC diagnosis was found in AIs compared to Whites (46.58% vs. 55.33%, P < .001); these differential rates did not change after Medicaid expansion. Rates of definitive treatment initiation within 30 days of diagnosis declined after Medicaid expansion (P < .001); there was a smaller decline in the expansion states (OR 1.118, 95% CI: 1.09, 1.15, P < .001). Three year mortality was not different between expansion and nonexpansion states post Medicaid expansion. CONCLUSIONS: In newly diagnosed BCs, uninsured rates declined more in the states that expanded Medicaid in January 2014. Timely treatment post Medicaid expansion declined less in states that expanded Medicaid. There was no differential benefit of Medicaid expansion in the 2 races.

Artificial Intelligence-Enhanced Breast MRI: Applications in Breast Cancer Primary Treatment Response Assessment and Prediction.

ABSTRACT: Primary systemic therapy (PST) is the treatment of choice in patients with locally advanced breast cancer and is nowadays also often used in patients with early-stage breast cancer. Although imaging remains pivotal to assess response to PST accurately, the use of imaging to predict response to PST has the potential to not only better prognostication but also allow the de-escalation or omission of potentially toxic treatment with undesirable adverse effects, the accelerated implementation of new targeted therapies, and the mitigation of surgical delays in selected patients. In response to the limited ability of radiologists to predict response to PST via qualitative, subjective assessments of tumors on magnetic resonance imaging (MRI), artificial intelligence-enhanced MRI with classical machine learning, and in more recent times, deep learning, have been used with promising results to predict response, both before the start of PST and in the early stages of treatment. This review provides an overview of the current applications of artificial intelligence to MRI in assessing and predicting response to PST, and discusses the challenges and limitations of their clinical implementation.

European quality indicators developed by the European Commission Initiative on Breast Cancer: a first nationwide assessment for the Dutch setting.

PURPOSE: This observational study aims to assess the feasibility of calculating indicators developed by the European Commission Initiative on Breast Cancer (ECIBC) for the Dutch breast cancer population. METHODS: Patients diagnosed with invasive or in situ breast cancer between 2012 and 2018 were selected from the Netherlands Cancer Registry (NCR). Outcomes of the quality indicators (QI) were presented as mean scores and were compared to a stated norm. Variation between hospitals was assessed by standard deviations and funnel plots and trends over time were evaluated. The quality indicator calculator (QIC) was validated by comparing these outcomes with the outcomes of constructed algorithms in Stata. RESULTS: In total, 133,527 patients were included. Data for 24 out of 26 QIs were available in the NCR. For 67% and 67% of the QIs, a mean score above the norm and low or medium hospital variation was observed, respectively. The proportion of patients undergoing a breast reconstruction or neoadjuvant systemic therapy increased over time. The proportion treated within 4 weeks from diagnosis, having >10 lymph nodes removed or estrogen negative breast cancer who underwent adjuvant chemotherapy decreased. The outcomes of the constructed algorithms in this study and the QIC showed 100% similarity. CONCLUSION: Data from the NCR could be used for the calculation of more than 92% of the ECIBC indicators. The quality of breast cancer care in the Netherlands is high, as more than half of the QIs already score above the norm and medium hospital variation was observed. The QIC can be easy and reliably applied.

Cost-Effectiveness Analysis of Adjuvant Endocrine Therapy With Ovarian Suppression in Premenopausal Patients With Hormone Receptor-Positive Early Breast Cancer in China.

PURPOSE: Endocrine therapy combined with ovarian function suppression (OFS) is recommended in intermediate- or high-risk patients among premenopausal women with hormone receptor-positive early breast cancer. However, in China, the cost-effectiveness of this strategy compared with endocrine therapy alone is unclear. This study aimed to evaluate the long-term cost-effectiveness of tamoxifen (TAM), TAM+OFS, and exemestane plus OFS (EXE+OFS). METHODS: On the basis of prognostic data from the Suppression of Ovarian Function Trial (SOFT), cost data from the Hospital Information System of the West China Hospital of Sichuan University, and health utility values from the published literature, a Markov model was established. The incremental cost-effectiveness ratio (ICER) was used to compare the treatment strategies. RESULTS: In a 25-year simulation of adjuvant therapy in Chinese women with early breast cancer, the total costs of TAM, TAM+OFS, and EXE+OFS were $7821, $9318, and $9445, respectively. The quality-adjusted life-years (QALYs) were 11.615, 11.896, and 11.734 years, respectively. Compared with TAM, the ICERs of TAM+OFS and EXE+OFS were $5,327.4021/QALY and $13,647.0588/QALY, respectively. The ICERs of TAM+OFS and EXE+OFS were below the threshold of $32,517/QALY. The reliability and stability of the simulation results were verified using Monte Carlo simulation and sensitivity analysis. CONCLUSION: In the context of limited resources in China, TAM+OFS and EXE+OFS are cost-effective options compared with TAM.

Social inequalities in the use of physiotherapy in women diagnosed with breast cancer in Barcelona: DAMA cohort.

PURPOSE: This study aimed to analyze social inequalities in the use and access of physiotherapy service and its clinical and socio-economic determinants in women diagnosed with breast cancer in the hospital network of Barcelona. METHODS: Data from 2235 women belonging to the mixed (prospective and retrospective) DAMA Cohort were analyzed, including demographic, socio-economic, clinical, and breast cancer treatment outcomes. To determine the influence of such variables on access to physiotherapy, different Poisson regression models with robust variance (obtaining Prevalence Ratios and confidence intervals) were estimated. RESULTS: Although when experiencing different chronic and acute symptoms, only between 20 and 35% of women visited physiotherapist. Two out of 3 women reported to have received insufficient information about medical care and rehabilitation. Age of women, job occupation, education level, having a mutual or private insurance, as well as outcomes related to breast cancer, appear to be factors influencing the access to physiotherapy. CONCLUSIONS: Social and economic inequalities exist on the access to physiotherapy by women diagnosed with breast cancer, which is generally low, and may clearly impact on their functional recovery. Promoting strategies to reduce social bias, as well as improve communication and patient information regarding physiotherapy may be of interest for a better health care in breast cancer diagnosed women.

Short-term and long-term financial toxicity from breast cancer treatment: a qualitative study.

PURPOSE: The rising cost of breast cancer treatment has increased patients' financial burden, intensifying an already stressful treatment process. Although researchers increasingly recognize the harmful impact of medical and nonmedical costs associated with cancer treatment, understanding patients' perspectives of financial toxicity is limited. We aimed to explore the topic of financial toxicity through the lived experiences of patients with breast cancer from groups at risk of social and economic marginalization. METHODS: We conducted semi-structured interviews with 50 women with breast cancer from four specific groups: Black women, Medicaid enrollees, rural residents, and women age ≤ 40. We transcribed, coded, and analyzed the data using deductive and inductive approaches. RESULTS: Two overarching themes captured patients' experiences of financial toxicity: short-term and long-term impacts. Short-term stressors included direct medical (e.g., co-pays, premiums), nonmedical (e.g., transportation, lodging), and indirect (e.g., job loss, reduced work hours) costs. Early in their treatments, patients' focus on survival took precedence over financial concerns. However, as the treatment course progressed, fear of consequences from compounding costs of care and financial distress negatively impacted patients' lifestyles and outlooks for the future. CONCLUSION: Programs addressing financial toxicity that look beyond early-phase interventions are needed. Specifically, patients struggling with the accumulation of treatment costs and the resultant stress require ongoing support. Long-term support is especially needed for groups vulnerable to financial instability and social marginalization.

Factors affecting the economic burden of breast cancer in southern Iran.

BACKGROUND: Breast cancer (BC) is the most common cancer in the world, and is associated with significant economic costs for patients and communities. Therefore, the information on the costs of the disease and the identification of its underlying factors will provide insights into designing effective interventions and reducing the costs. Thus, the present study aimed to identify the factors affecting the economic burden of breast cancer from all medical centers providing diagnostic and treatment services in southern Iran. METHODS: A list of factors affecting the economic burden of breast cancer was obtained based on the effective factors searched in the databases, including PubMed, ProQuest, Scopus, ISI Web of Science, SID, and Magiran, and the opinions of BC cancer specialists. Then, the data on 460 breast cancer patients was collected from March 2020 to March 2022. The relationship between the factors affecting Breast Cancer costs was analyzed using SPSS 13.0 software by the use of multiple regression analysis. RESULTS: The results of the multiple regression analysis showed that stages (P-value < 0.001), being an extreme user (p = 0.025), type of treatment center (P-value < 0.001), income (P-value < 0.001), chemotherapy side effects (P-value < 0.001), and distance to the nearest health center (P-value < 0.001) were important factors affecting the costs of breast cancer patients. CONCLUSIONS: According to the results, encouraging people to undergo annual screenings, increasing insurance coverage, assuring the patients about the desirability and adequacy of the provided medical services, deploying specialists in chemotherapy centers (especially nutritionists) to recommend special diets, and establishing cancer diagnostic and treatment centers in high-population cities could help reduce the costs of breast cancer patients.

Critical assessment of resource waste in staging and follow-up of breast cancer.

BACKGROUND: Breast cancer is a public health problem with both high incidence and cure rates. After treatment, patients are monitored for long periods of time due to the risk of recurrence. Thus, staging and follow-up strategies should consider not only the best results for the patient but also its costs for the public health system. OBJECTIVE: The objective of this study was to quantify the waste of resources on breast cancer follow-up and evaluate its impact on the public health system. METHODS: This is a retrospective analysis of consecutive medical records to identify the intervals between consultations and tests used for staging and during the first 2 years of follow-up of patients with breast cancer treated at a public hospital in Brazil. Data were compared with the guidelines of the main international consensus. RESULTS: Medical records of 60 consecutive patients treated in 2018 were selected, of whom 52 had 2 or more years of follow-up, and 8 had only 1 year of complete follow-up. A total of 34 patients (56.67%) underwent excessive examinations for stating. During follow-up, 125 surplus consultations were performed (33.6%). In this phase, 111 surplus exams were also performed, representing an increase of 100.9%. A total of 423 laboratory tests were performed for 18 patients in the first year and 229 tests for 14 patients in the second year. CONCLUSION: Excessive tests and consultations significantly burdened the Unified Health System without any benefit to patients. Better adherence to staging and follow-up recommendations could reduce costs and optimize the limited resources used in the public health system.

Population simulation modeling of disparities in US breast cancer mortality.

BACKGROUND: Populations of African American or Black women have persistently higher breast cancer mortality than the overall US population, despite having slightly lower age-adjusted incidence. METHODS: Three Cancer Intervention and Surveillance Modeling Network simulation teams modeled cancer mortality disparities between Black female populations and the overall US population. Model inputs used racial group-specific data from clinical trials, national registries, nationally representative surveys, and observational studies. Analyses began with cancer mortality in the overall population and sequentially replaced parameters for Black populations to quantify the percentage of modeled breast cancer morality disparities attributable to differences in demographics, incidence, access to screening and treatment, and variation in tumor biology and response to therapy. RESULTS: Results were similar across the 3 models. In 2019, racial differences in incidence and competing mortality accounted for a net ‒1% of mortality disparities, while tumor subtype and stage distributions accounted for a mean of 20% (range across models = 13%-24%), and screening accounted for a mean of 3% (range = 3%-4%) of the modeled mortality disparities. Treatment parameters accounted for the majority of modeled mortality disparities: mean = 17% (range = 16%-19%) for treatment initiation and mean = 61% (range = 57%-63%) for real-world effectiveness. CONCLUSION: Our model results suggest that changes in policies that target improvements in treatment access could increase breast cancer equity. The findings also highlight that efforts must extend beyond policies targeting equity in treatment initiation to include high-quality treatment completion. This research will facilitate future modeling to test the effects of different specific policy changes on mortality disparities.