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Colorectal cancer (CRC) screening has been shown to decrease CRC mortality. Implementation of evidence-based interventions (EBIs) increases CRC screening. The purpose of this analysis is to determine which combinations of EBIs or strategies led to increases in clinic-level screening rates among clinics participating in CDC's Colorectal Cancer Control Program (CRCCP). Data were collected from CRCCP clinics between 2015 and 2018 and the analysis was conducted in 2020. The outcome variable was the annual change in clinic level CRC screening rate in percentage points. We used first difference (FD) estimator of linear panel data regression model to estimate the associations of outcome with independent variables, which include different combinations of EBIs and intervention strategies. The study sample included 486 unique clinics with 1156 clinic years of total observations. The average baseline screening rate was 41 % with average annual increase of 4.6 percentage points. Only two out of six combinations of any two EBIs were associated with increases in screening rate (largest was 6.5 percentage points, P

PurposeHigher 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.MethodsWomen 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.ResultsIn 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).ConclusionsContrary 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.

PurposeInflammatory breast cancer (IBC) is an aggressive subtype of breast cancer for which treatments vary, so we sought to identify factors that affect the receipt of guideline-concordant care.MethodsPatients diagnosed with IBC in 2004 were identified from the Breast and Prostate Cancer Data Quality and Patterns of Care Study, containing information from cancer registries in seven states. Variation in guideline-concordant care for IBC, based on National Comprehensive Cancer Network (NCCN) guidelines, was assessed according to patient, physician, and hospital characteristics.ResultsOf the 107 IBC patients in the study without distant metastasis at the time of diagnosis, only 25.8% received treatment concordant with guidelines. Predictors of non-concordance included patient age (≥70 years), non-white race, normal body mass index (BMI 18.5-25 kg/m(2)), patients with physicians graduating from medical school >15 years prior, and smaller hospital size (

Objectives: Mammography is a screening tool for early detection of breast cancer. Uptake in screening use in states can be influenced by Medicaid coverage and eligibility policies, public health outreach efforts, and the Centers for Disease Control and Prevention–funded National Breast and Cervical Cancer Early Detection Program. We described state-specific mammography use in 2020 and changes as compared with 2012. Methods: We estimated the proportion of women aged ≥40 years who reported receiving a mammogram in the past 2 years, by age group, state, and demographic and socioeconomic characteristics, using 2020 Behavioral Risk Factor Surveillance System data. We also compared 2020 state estimates with 2012 estimates. Results: The proportion of women aged 50-74 years who received a mammogram in the past 2 years was 78.1% (95% CI, 77.4%-78.8%) in 2020. Across measures of socioeconomic status, mammography use was generally lower among women who did not have health insurance (52.0%; 95% CI, 48.3%-55.6%) than among those who did (79.9%; 95% CI, 79.3%-80.6%) and among those who had a usual source of care (49.4%; 95% CI, 46.1%-52.7%) than among those who did not (81.0%; 95% CI, 80.4%-81.7%). Among women aged 50-74 years, mammography use varied across states, from a low of 65.2% (95% CI, 61.4%-69.0%) in Wyoming to a high of 86.1% (95% CI, 83.8%-88.3%) in Massachusetts. Four states had significant increases in mammography use from 2012 to 2020, and 8 states had significant declines. Conclusion: Mammography use varied widely among states. Use of evidence-based interventions tailored to the needs of local populations and communities may help close gaps in the use of mammography. [ABSTRACT FROM AUTHOR]

Background: The U.S. Preventive Services Task Force recommends biennial screening mammography for average-risk women aged 50–74 years. We aim to generate county-level prevalence estimates for mammography use to examine disparities among counties. Materials and Methods: We used data from the 2018 Behavioral Risk Factor Surveillance System (BRFSS) (n = 111,902 women) and linked them to county-level data from the American Community Survey. We defined two outcomes: mammography within the past 2 years (current); and mammography 5 or more years ago or never (rarely or never). We poststratified the data with U.S. Census estimated county population counts, ran Monte Carlo simulations, and generated county-level estimates. We aggregated estimates to state and national levels. We validated internal consistency between our model-based and BRFSS state estimates using Spearman and Pearson correlation coefficients. Results: Nationally, more than three in four women [78.7% (95% confidence interval {CI}: 78.2%–79.2%)] were current with mammography, although with large variations among counties. Also, nationally, about one in nine women [11% (95% CI: 10.8%–11.3%)] rarely or never had a mammogram. County estimates for being current ranged from 60.4% in New Mexico to 86.9% in Hawaii. Rarely or never having a mammogram ranged from 6% in Connecticut to 23.0% in Alaska, and on average, almost one in eight women in all the counties. Internal consistency correlation coefficient tests were ≥0.94. Conclusions: Our analyses identified marked county variations in mammography use across the country among women aged 50–74 years. We generated estimates for all counties, which may be helpful for targeted outreach to increase mammography uptake. [ABSTRACT FROM AUTHOR]