Vital Signs: Mammography Use and Association with Social Determinants of Health and Health-Related Social Needs Among Women - United States, 2022.

Introduction: Approximately 40,000 U.S. women die from breast cancer each year. Mammography is recommended to screen for breast cancer and reduce breast cancer mortality. Adverse social determinants of heath (SDOH) and health-related social needs (HRSNs) (e.g., lack of transportation and social isolation) can be barriers to getting mammograms. Methods: Data from the 2022 Behavioral Risk Factor Surveillance System were analyzed to estimate the prevalence of mammography use within the previous 2 years among women aged 40-74 years by jurisdiction, age group, and sociodemographic factors. The association between mammography use and measures of SDOH and HRSNs was assessed for jurisdictions that administered the Social Determinants and Health Equity module. Results: Among women aged 50-74 years, state-level mammography use ranged from 64.0% to 85.5%. Having health insurance and a personal health care provider were associated with having had a mammogram within the previous 2 years. Among women aged 50-74 years, mammography prevalence was 83.2% for those with no adverse SDOH and HRSNs and 65.7% for those with three or more adverse SDOH and HRSNs. Life dissatisfaction, feeling socially isolated, experiencing lost or reduced hours of employment, receiving food stamps, lacking reliable transportation, and reporting cost as a barrier for access to care were all strongly associated with not having had a mammogram within the previous 2 years. Conclusions and Implications for Public Health Practice: Identifying specific adverse SDOH and HRSNs that women experience and coordinating activities among health care providers, social services, community organizations, and public health programs to provide services that help address these needs might increase mammography use and ultimately decrease breast cancer deaths.

Contextual Factors Relevant to Implementing Social Risk Factor Screening and Referrals in Cancer Survivorship: A Qualitative Study.

Introduction: Social risk factors such as food insecurity and lack of transportation can negatively affect health outcomes, yet implementation of screening and referral for social risk factors is limited in medical settings, particularly in cancer survivorship. Methods: We conducted 18 qualitative, semistructured interviews among oncology teams in 3 health systems in Washington, DC, during February and March 2022. We applied the Exploration, Preparation, Implementation, Sustainment Framework to develop a deductive codebook, performed thematic analysis on the interview transcripts, and summarized our results descriptively. Results: Health systems varied in clinical and support staff roles and capacity. None of the participating clinics had an electronic health record (EHR)-based process for identifying patients who completed their cancer treatment ("survivors") or a standardized cancer survivorship program. Their capacities also differed for documenting social risk factors and referrals in the EHR. Interviewees expressed awareness of the prevalence and effect of social risk factors on cancer survivors, but none employed a systematic process for identifying and addressing social risk factors. Recommendations for increasing screening for social risk factors included designating a person to fulfill this role, improving data tracking tools in the EHR, and creating systems to maintain up-to-date information and contacts for community-based organizations. Conclusion: The complexity of cancer care workflows and lack of reimbursement results in a limited ability for clinic staff members to screen and make referrals for social risk factors. Creating clinical workflows that are flexible and tailored to staffing realities may contribute to successful implementation of a screening and referral program. Improving ongoing communication with community-based organizations to address needs was deemed important by interviewees.

Twenty years of collaborative research to enhance community practice for cancer prevention and control.

The Cancer Prevention and Control Research Network (CPCRN) was established in 2002 to conduct applied research and undertake related activities to translate evidence into practice, with a special focus on the unmet needs of populations at higher risk of getting cancer and dying from it. A network of academic, public health and community partners, CPCRN is a thematic research network of the Prevention Research Centers Program at the Centers for Disease Control and Prevention (CDC). The National Cancer Institute's Division of Cancer Control and Population Sciences (DCCPS) has been a consistent collaborator. The CPCRN has fostered research on geographically dispersed populations through cross-institution partnerships across the network. Since its inception, the CPCRN has applied rigorous scientific methods to fill knowledge gaps in the application and implementation of evidence-based interventions, and it has developed a generation of leading investigators in the dissemination and implementation of effective public health practices. This article reflects on how CPCRN addressed national priorities, contributed to CDC's programs, emphasized health equity and impacted science over the past twenty years and potential future directions.

Up-to-Date Breast, Cervical, and Colorectal Cancer Screening Test Use in the United States, 2021.

INTRODUCTION: We examined national estimates of breast, cervical, and colorectal cancer (CRC) screening test use and compared them with Healthy People 2030 national targets. Test use in 2021 was compared with prepandemic estimates. METHODS: In 2022, we used 2021 National Health Interview Survey (NHIS) data to estimate proportions of adults up to date with US Preventive Services Task Force recommendations for breast (women aged 50-74 y), cervical (women aged 21-65 y), and CRC screening (adults aged 50-75 y) across sociodemographic and health care access variables. We compared age-standardized estimates from the 2021 and 2019 NHIS. RESULTS: Percentages of adults up to date in 2021 were 75.7% (95% CI, 74.4%-76.9%), 75.2% (95% CI, 73.9%-76.4%), and 72.2% (95% CI, 71.2%-73.2%) for breast, cervical, and CRC screening, respectively. Estimates were below 50% among those without a wellness check in 3 years (all screening types), among those without a usual source of care or insurance (aged <65 y) (breast and CRC screening), and among those residing in the US for less than 10 years (CRC screening). Percentages of adults who were up to date with breast and cervical cancer screening and colonoscopy were similar in 2019 and 2021. Fecal occult blood/fecal immunochemical test (FOBT/FIT) use was modestly higher in 2021 (P < .001). CONCLUSIONS: In 2021, approximately 1 in 4 adults of screening age were not up to date with breast, cervical, and CRC screening recommendations, and Healthy People 2030 national targets were not met. Disparities existed across several characteristics, particularly those related to health care access. Breast, cervical, and colonoscopy test use within recommended screening intervals approximated prepandemic levels. FOBT/FIT estimates were modestly higher in 2021.

Mammography use and breast cancer incidence among older U.S. women.

PURPOSE: The death rate for female breast cancer increases progressively with age, but organizations differ in their mammography screening recommendations for older women. To understand current patterns of screening mammography use and breast cancer diagnoses among older women, we examined recent national data on mammography screening use and breast cancer incidence and stage at diagnosis among women aged ≥ 65 years. METHODS: We examined breast cancer incidence using the 2016 United States Cancer Statistics dataset and analyzed screening mammography use among women aged ≥ 65 years using the 2018 National Health Interview Survey. RESULTS: Women aged 70-74 years had the highest breast cancer incidence rate (458.3 cases per 100,000 women), and women aged ≥ 85 years had the lowest rate (295.2 per 100,000 women). The proportion of cancer diagnosed at distant stage or with unknown stage increased with age. Over half of women aged 80-84 years and 26.0% of women aged ≥ 85 years reported a screening mammogram within the last 2 years. Excellent/very good/good self-reported health status (p = .010) and no dependency in activities of daily living/instrumental activities of daily living (p < .001) were associated with recent mammography screening. CONCLUSION: Breast cancer incidence rates and stage at diagnosis vary by age. Many women aged ≥ 75 years receive screening mammograms. The results of this study point to areas for further investigation to promote optimal mammography screening among older women.

Cancer Screening Test Receipt - United States, 2018.

Screening for breast cancer, cervical cancer, and colorectal cancer (CRC) reduces mortality from these cancers.* However, screening test receipt has been below national targets with disparities observed in certain populations (1,2). National Health Interview Survey (NHIS) data from 2018 were analyzed to estimate percentages of adults up to date with U.S. Preventive Services Task Force (USPSTF) screening recommendations. Screening test receipt remained below national Healthy People 2020 (HP2020) targets, although CRC test receipt neared the target. Disparities were evident, with particularly low test receipt among persons who were uninsured or did not have usual sources of care. Continued monitoring helps assess progress toward targets and could inform efforts to promote screening and reduce barriers for underserved populations.

Correlates of colorectal cancer screening rates in primary care clinics serving low income, medically underserved populations.

INTRODUCTION: Screening for colorectal cancer (CRC) is effective in reducing CRC burden. Primary care clinics have an important role in increasing screening. We investigated associations between clinic-level CRC screening rates of the clinics serving low income, medically underserved population, and clinic-level screening interventions, clinic characteristics and community contexts. METHODS: Using data (2015-16) from the Centers for Disease Control and Prevention's (CDC) Colorectal Cancer Control Program, we linked clinic-level data with county-level contextual data from external sources. Analysis variables included clinic-level CRC screening rates, four different evidence-based interventions (EBIs) intended to increase screening, clinic characteristics, and clinic contexts. In the analysis (2018), we used weighted ordinary least square multiple regression analyses to associate EBIs and other covariates with clinic-level screening rates. RESULTS: Clinics (N = 581) had an average screening rate of 36.3% (weighted. Client reminders had the highest association (5.6 percentage points) with screening rates followed by reducing structural barriers (4.9 percentage points), provider assessment and feedback (3.2 percentage points), and provider reminders (<1 percentage point). Increases in the number of EBIs was associated with steady increases in the screening rate (5.4 percentage points greater for one EBI). Screening rates were 16.4 percentage points higher in clinics with 4 EBIs vs. no EBI. Clinic characteristics, contexts (e.g. physician density), and context-EBI interactions were also associated with clinic screening rates. CONCLUSIONS: These results may help clinics, especially those serving low income, medically underserved populations, select individual or combinations of EBIs suitable to their contexts while considering costs.

The Cancer Prevention and Control Research Network (CPCRN): Advancing public health and implementation science.

The Cancer Prevention and Control Research Network (CPCRN) is one of the thematic networks of the United States' Centers for Disease Control and Prevention's (CDC) Prevention Research Centers. Network members are academic research centers in the United States who collaborate with public health and community partners to accelerate the use of evidence-based interventions in communities to reduce the burden of cancer, especially among underserved populations. CPCRN studies include geographically dispersed populations, cross-institution partnerships, and opportunities for collaborative learning across network centers. Since its inception in 2002, CPCRN has worked to translate research on community-based intervention strategies into practice to improve cancer screening and reduce cancer risk. This commentary describes CPCRN's role in contributing to public health and the field of dissemination and implementation science. In addition, CDC and the National Cancer Institute describe how their joint support of the network contributes to each organization's goals and missions.

Rural-Urban and Racial/Ethnic Disparities in Invasive Cervical Cancer Incidence in the United States, 2010-2014.

INTRODUCTION: Racial and socioeconomic disparities exist in cervical cancer screening, incidence, and mortality. The purpose of this study was to investigate how cervical cancer stage at diagnosis is associated with rurality and race/ethnicity. METHODS: We analyzed 2010 through 2014 data from the Centers for Disease Control and Prevention's National Program of Cancer Registries and the National Cancer Institute's Surveillance, Epidemiology, and End Results Program. We compared cervical cancer frequency and age-adjusted incidence for each stage by county-level rurality and race/ethnicity. RESULTS: There were 59,432 incident cases of cervical cancer reported from 2010 through 2014. The most common stage at diagnosis was localized (urban, 43.3%; rural 41.3%). Rural counties had higher incidence than urban counties for localized (rate ratio [RR] = 1.11; 95% confidence interval [CI], 1.07-1.15), regional (RR = 1.14; 95% CI, 1.10-1.19), and distant (RR = 1.12; 95% CI, 1.05-1.19) stage cervical cancer. Hispanic and non-Hispanic black women had higher incidence of regional and distant cervical cancer than non-Hispanic white women. Non-Hispanic white women in rural counties had higher incidence than those in urban counties at every stage. However, incidence for non-Hispanic white women was lower than for non-Hispanic black or Hispanic women. CONCLUSION: Rural counties had higher incidence of cervical cancer than urban counties at every stage. However, the association of rural residence with incidence varied by race/ethnicity.

Mammography use among women aged 18-39 years in the United States.

PURPOSE: Recommendations for breast cancer screening using mammography target asymptomatic women aged ≥ 40 years who are not at increased risk for breast cancer. Evidence is not available to demonstrate benefits of screening with mammography at younger ages, and little is known about mammography use among younger women. This study described mammography use among women aged 18-39 years. METHODS: We analyzed data from the 2011-2015 National Survey of Family Growth, an in-person survey of a nationally representative sample of the U.S. household population. We estimated the prevalence of ever receiving a mammogram and examined reasons for the first mammograms among women aged 18-39 years without personal cancer history (n = 8324). We classified the first mammogram as a screening examination if it was performed either as part of a routine exam or because of family history of cancer. RESULTS: Among women aged 18-39 years, 14.3% (95% CI 13.2-15.4) reported ever having a mammogram. Prevalence of mammography use was highest among women aged 35-39 years (31.0%, 95% CI 27.8-34.5), and was higher among non-Hispanic black women than in other race/ethnicity groups. Women with a family history of breast cancer reported a higher prevalence of mammography use than women without this family history. For both women with and without a family history of breast cancer, about half of all first mammograms were performed for screening reasons. CONCLUSIONS: Among U.S. women aged 18-39 years with no personal cancer history, one in seven reported having received a mammogram. Women with no family history of breast cancer were as likely as those with a family history to initiate breast cancer screening with mammography before age 40. Our findings provide evidence that supports further research to examine factors that prompt young women to receive screening mammograms.

Obesity and mortality after locoregional breast cancer diagnosis.

PURPOSE: Higher mortality after a breast cancer diagnosis has been observed among women who are obese. We investigated the relationships between body mass index (BMI) and all-cause or breast cancer-specific mortality after a diagnosis of locoregional breast cancer. METHODS: Women diagnosed in 2004 with AJCC Stage I, II, or III breast cancer (n = 5394) were identified from a population-based National Program of Cancer Registries (NPCR) patterns of care study (POC-BP) drawing from registries in seven U.S. states. Differences in overall and breast cancer-specific mortality were investigated using Cox proportional hazards regression models adjusting for demographic and clinical covariates, including age- and stage-based subgroup analyses. RESULTS: In women 70 or older, higher BMI was associated with lower overall mortality (HR for a 5 kg/m2 difference in BMI = 0.85, 95% CI 0.75-0.95). There was no significant association between BMI and overall mortality for women under 70. BMI was not associated with breast cancer death in the full sample, but among women with Stage I disease; those in the highest BMI category had significantly higher breast cancer mortality (HR for BMI ≥ 35 kg/m2 vs. 18.5-24.9 kg/m2 = 4.74, 95% CI 1.78-12.59). CONCLUSIONS: Contrary to our hypothesis, greater BMI was not associated with higher overall mortality. Among older women, BMI was inversely related to overall mortality, with a null association among younger women. Higher BMI was associated with breast cancer mortality among women with Stage I disease, but not among women with more advanced disease.

Colorectal cancer screening in the United States: Trends from 2008 to 2015 and variation by health insurance coverage.

Regular colorectal cancer (CRC) screening is recommended for reducing CRC incidence and mortality. This paper provides an updated analysis of CRC screening in the United States (US) and examines CRC screening by several features of health insurance coverage. Recommendation-consistent CRC screening was calculated for adults aged 50-75 in 2008, 2010, 2013 and 2015 using data from the National Health Interview Survey. CRC screening prevalence in 2015 was described overall and by sociodemographic subgroups. CRC screening by health insurance coverage was further examined using multivariable logistic regression, stratified by age (50-64 years and 65-75 years) and adjusted for age, race/ethnicity, sex, education, income, time in US, and comorbid conditions. Recommendation-consistent screening increased from 51.6% in 2008 to 58.3% in 2010 (p < 0.001). Use plateaued from 2010 to 2013 but increased to 61.3% in 2015 (p < 0.001). In 2015, adults aged 50-64 years with traditional employer-sponsored private insurance were more likely to be screened (62.2%) than those with traditional private direct purchase plans (50.9%) and the uninsured (24.8%) (p < 0.01, respectively). After multivariable adjustment, differences between traditional employer-sponsored private insurance and the uninsured remained statistically significant. Adults aged 65-75 with Medicare and private insurance were more likely to be screened (76.3%) than those with Medicare, no supplemental insurance (68.8%) or Medicare and Medicaid (65.2%) (p < 0.001). After multivariable adjustment, the differences between Medicare and private insurance and Medicare no supplemental insurance remained statistically significant. CRC screening rates have increased over time, but certain segments of the population, especially the uninsured, continue to screen below recommended levels.

Factors associated with breast MRI use among women with a family history of breast cancer.

Although annual breast magnetic resonance imaging (MRI) is recommended for women at high risk for breast cancer as an adjunct to screening mammography, breast MRI use remains low. We examined factors associated with breast MRI use in a cohort of women with a family history of breast cancer but no personal cancer history. Study participants came from the Sister Study cohort, a nationwide, prospective study of women with at least 1 sister who had been diagnosed with breast cancer but who themselves had not ever had breast cancer (n = 17 894). Participants were surveyed on breast cancer beliefs, cancer worry, breast MRI use, provider communication, and genetic counseling and testing. Logistic regression was used to assess factors associated with having a breast MRI overall and for those at high risk. Breast MRI was reported by 16.1% and was more common among younger women and those with higher incomes. After adjustment for demographics, ever use of breast MRI was associated with actual and perceived risk. Odds ratios (OR) were 12.29 (95% CI, 8.85-17.06), 2.48 (95% CI, 2.27-2.71), and 2.50 (95% CI, 2.09-2.99) for positive BRCA1/2 test, lifetime breast cancer risk ≥ 20%, and being told by a health care provider of higher risk, respectively. Women who believed they had much higher risk than others or had higher level of worry were twice as likely to have had breast MRI; OR = 2.23 (95% CI, 1.82-2.75) and OR = 1.76 (95% CI, 1.52-2.04). Patterns were similar among women at high risk. Breast cancer risk, provider communication, and personal beliefs were determinants of breast MRI use. To support shared decisions about the use of breast MRI, women could benefit from improved understanding of the chances of getting breast cancer and increased quality of provider communications.

Patterns and Trends in Cancer Screening in the United States.

INTRODUCTION: We examined the prevalence of cancer screening reported in 2015 among US adults, adjusted for important sociodemographic and access-to-care variables. By using data from the National Health Interview Survey (NHIS) for 2000 through 2015, we examined trends in prevalence of cancer screening that adhered to US Preventive Services Task Force screening recommendations in order to monitor screening progress among traditionally underserved population subgroups. METHODS: We analyzed NHIS data from surveys from 2000 through 2015 to estimate prevalence and trends in use of recommended screening tests for breast, cervical, colorectal, and prostate cancers. We used logistic regression and report predictive margins for population subgroups adjusted for various socioeconomic and demographic variables. RESULTS: Colorectal cancer screening was the only test that increased during the study period. We found disparities in prevalence of test use among subgroups for all tests examined. Factors that reduced the use of screening tests included no contact with a doctor in the past year, no usual source of health care, and no insurance coverage. CONCLUSION: Understanding use of cancer screening tests among different population subgroups is vital for planning public health interventions with potential to increase screening uptake and reduce disparities in cancer morbidity and mortality. Overarching goals of Healthy People 2020 are to "achieve health equity, eliminate disparities, and improve the health of all groups." Adjusted findings for 2015, compared with previous years, show persistent screening disparities, particularly among the uninsured, and progress for colorectal cancer screening only.

Disparities in ovarian cancer survival in the United States (2001-2009): Findings from the CONCORD-2 study.

BACKGROUND: Ovarian cancer is the fifth leading cause of cancer death among women in the United States. This study reports ovarian cancer survival by state, race, and stage at diagnosis using data from the CONCORD-2 study, the largest and most geographically comprehensive, population-based survival study to date. METHODS: Data from women diagnosed with ovarian cancer between 2001 and 2009 from 37 states, covering 80% of the US population, were used in all analyses. Survival was estimated up to 5 years and was age standardized and adjusted for background mortality (net survival) using state-specific and race-specific life tables. RESULTS: Among the 172,849 ovarian cancers diagnosed between 2001 and 2009, more than one-half were diagnosed at distant stage. Five-year net survival was 39.6% between 2001 and 2003 and 41% between 2004 and 2009. Black women had consistently worse survival compared with white women (29.6% from 2001-2003 and 31.1% from 2004-2009), despite similar stage distributions. Stage-specific survival for all races combined between 2004 and 2009 was 86.4% for localized stage, 60.9% for regional stage, and 27.4% for distant stage. CONCLUSIONS: The current data demonstrate a large and persistent disparity in ovarian cancer survival among black women compared with white women in most states. Clinical and public health efforts that ensure all women who are diagnosed with ovarian cancer receive appropriate, guidelines-based treatment may help to decrease these disparities. Future research that focuses on the development of new methods or modalities to detect ovarian cancer at early stages, when survival is relatively high, will likely improve overall US ovarian cancer survival. Cancer 2017;123:5138-59. Published 2017. This article is a U.S. Government work and is in the public domain in the USA.

Long-Term Satisfaction and Body Image After Contralateral Prophylactic Mastectomy.

BACKGROUND: Contralateral prophylactic mastectomy (CPM) rates have been increasing in the US, and although high levels of satisfaction with CPM have been reported, few studies have evaluated the long-term effects on body image, comparing CPM with breast-conserving surgery (BCS) and unilateral mastectomy (UM). METHODS: We analyzed responses from a survey of women with both a personal and family history of breast cancer who were enrolled in the Sister Study (n = 1176). Among women who underwent mastectomy, we examined satisfaction with the mastectomy decision, as well as variation in the use of reconstruction and experience of complications. Five survey items, evaluated individually and as a summed total score, were used to compare body image across surgery types (BCS, UM without reconstruction, CPM without reconstruction, UM with reconstruction, and CPM with reconstruction). RESULTS: Participants were, on average, 3.6 years post-diagnosis at the time of survey (standard deviation 1.7). The majority of women (97% of CPM, 89% of UM) were satisfied with their mastectomy decision. Reconstruction was more common after CPM than after UM (70 vs. 47%), as were complications (28 vs. 19%). Body image scores were significantly worse among women who underwent CPM than among women who underwent BCS, with the lowest scores among women who underwent CPM without reconstruction. CONCLUSIONS: In our sample, most women were highly satisfied with their mastectomy decision, including those who elected to undergo CPM. However, body image was lower among those who underwent CPM than among those who underwent BCS. Our findings may inform decisions among women considering various courses of surgical treatment.

Cancer Screening Test Use - United States, 2015.

Healthy People 2020 (HP2020) includes objectives to increase screening for breast, cervical, and colorectal cancer (1) as recommended by the U.S. Preventive Services Task Force (USPSTF).* Progress toward meeting these objectives is monitored by measuring cancer screening test use against national targets using data from the National Health Interview Survey (NHIS) (1). Analysis of 2015 NHIS data indicated that screening test use remains substantially below HP2020 targets for selected cancer screening tests. Although colorectal cancer screening test use increased from 2000 to 2015, no improvements in test use were observed for breast and cervical cancer screening. Disparities exist in screening test use by race/ethnicity, socioeconomic status, and health care access indicators. Increased measures to implement evidence-based interventions and conduct targeted outreach are needed if the HP2020 targets for cancer screening are to be achieved and the disparities in screening test use are to be reduced.

Mammography Use Among Medicare Beneficiaries After Elimination of Cost Sharing.

BACKGROUND: We examined mammography use before and after Medicare eliminated cost sharing for screening mammography in January 2011. METHODS: Using National Health Interview Survey data, we examined changes in mammography use between 2010 and 2013 among Medicare beneficiaries aged 65-74 years. Logistic regression and predictive margins were used to examine changes in use after adjusting for covariates. RESULTS: In 2013, 74.7% of women reported a mammogram within 2 years, a 3.5 percentage point increase (95% confidence interval, -0.3, 7.2) compared with 2010. Increases occurred among women aged 65-69 years, unmarried women, and women with usual sources of care and 2-5 physician visits in the prior year. After adjustment, mammography use increased in 2013 versus 2010 (74.8% vs. 71.3%, P=0.039). Interactions between year and income, insurance, race, or ethnicity were not significant. CONCLUSIONS: There was a modest increase in mammography use from 2010 to 2013 among Medicare beneficiaries aged 65-74 years, possibly consistent with an effect of eliminating Medicare cost sharing during this time. Findings suggest that eliminating cost sharing might increase use of recommended screening services.

Patterns of locoregional treatment for nonmetastatic breast cancer by patient and health system factors.

BACKGROUND: The purpose of this study was to examine local definitive therapy for nonmetastatic breast cancer with the Patterns of Care Breast and Prostate Cancer (POCBP) study of the National Program of Cancer Registries (Centers for Disease Control and Prevention). METHODS: POCBP medical record data were re-abstracted in 7 state/regional registry systems (Georgia, North Carolina, Kentucky, Louisiana, Wisconsin, Minnesota, and California) to verify data quality and assess treatment patterns in the population. National Comprehensive Cancer Network clinical practice treatment guidelines were aligned with American Joint Committee on Cancer staging at diagnosis to appraise care. RESULTS: Six thousand five hundred five of 9142 patients with registry-confirmed breast cancer were coded as having primary disease with stage 0 to IIIA tumors and were included in the study. Approximately 88% received guideline-concordant locoregional treatment. However, this outcome varied by age group: 92% of women < age 50 versus 80% of women ≥ age 70 years old received guideline care (P < 0.01). Characteristics that best discriminated receipt (no/yes) of guideline-concordant care in receiver operating curve analyses were the receipt of breast-conserving surgery (BCS) versus mastectomy (C = 0.70), patient age (C = 0.62), a greater tumor stage (C = 0.60), public insurance (C = 0.58), and the presence of at least mild comorbidity (C = 0.55). Radiation therapy (RT) after BCS was the most omitted treatment component causing nonconcordance in the study population. In multivariate regression, the effects of the treatment facility, ductal carcinoma in situ, race, and comorbidity on nonconcordant care differed by age group. CONCLUSIONS: Patterns of underuse of standard therapies for breast cancer vary by age group and BCS use, with which there is a risk of omission of RT.