Estimating uninsured and underinsured women eligible for Minnesota's Breast Cancer Screening Program.

Since its inception in 1991, the mission of the National Breast and Cervical Cancer Early Detection Program's (NBCCEDP) mission is to improve access to mammography. This program has demonstrated evidence showing that it has improved breast cancer screening rates for women who are uninsured and underinsured. However, the literature has shown that NBCCEDP screenings are decreasing, and only reach a portion of eligible women. Reliable estimates at the sub-county level are needed to identify and reach eligible women. Our work builds upon previous estimates by integrating uninsured and insurance status into spatially adaptive filters. We use spatially adaptive filters to create small area estimates of standardized incidence ratios describing the utilization rate of NBCCEDP services in Minnesota. We integrate the American Community Survey (2010-2014) insurance status data to account for the percentage that an individual is uninsured. We test five models that integrate insurance status by age, sex, and race/ethnicity. Our composite model, which adjusts for age, sex, and race/ethnicity insurance statuses, reduces 95% of the estimation error. We estimate that there approximately 49,913.7 women eligible to receive services for Minnesota. We also create small geography (i.e., county and sub-county) estimates for Minnesota. The integration of the insurance data improved our utilization estimate. The development of these methods will allow state programs to more efficiently use their resources and understand their reach.

Estimating Uninsured and Underinsured Women Eligible for Minnesota's Breast Cancer Screening Program.

The mission of the National Breast and Cervical Cancer Early Detection Program's (NBCCEDP) mission is to improve access to mammography and other health services for underserved women. Since its inception in 1991, this national program has improved breast cancer screening rates for women who are uninsured and underinsured. However, the literature has shown that NBCCEDP screenings are decreasing, and only reach a portion of eligible women. Reliable estimates at the sub-county level are needed to identify and reach eligible women. Our work builds upon previous estimates by integrating uninsured and insurance status into spatially adaptive filters. We use spatially adaptive filters to create small area estimates of standardized incidence ratios describing the utilization rate of NBCCEDP services in Minnesota. We integrate the American Community Survey (2010-2014) insurance status data to account for the percentage that an individual is uninsured. We test five models that integrate insurance status by age, sex, and race/ethnicity. Our composite model, which adjusts for age, sex, and race/ethnicity insurance statuses, reduces 95% of the estimation error. We estimate that there approximately 49,913.7 women eligible to receive services for Minnesota. We also create small geography (i.e., county and sub-county) estimates for Minnesota. The integration of the insurance data improved our utilization estimate. The development of these methods will allow state programs to more efficiently use their resources and understand their reach.

PEARL: A Guide for Developing Community-Engaging and Culturally-Sensitive Education Materials.

Community outreach and engagement has been a regular activity of the National Cancer Institute at its designated Cancer Centers. However, in 2016, community outreach and engagement became a required activity for all cancer centers. Yet there is a gap in the literature that provides guidelines for developing materials that resonate with communities. We developed the PEARL rubric to fulfill that gap from our work developing culturally sensitive breast cancer education materials for African American and Immigrant African women. We conducted a targeted literature review to understand the approaches that have been used for developing education materials for communities. We reviewed the literature and distilled key elements into our PEARL guide for creating culturally appropriate education materials. PEARL consists of five elements: Plain language and understandability, Explicit data, statistics, and graphs, Affirmative framing, Representative content, and Local connection. PEARL is a modern comprehensive guide that researchers can use for creating culturally sensitive materials. It is designed to guide researchers develop educational materials who have little to no experience in community engagement.

The effect of pre-aggregation scale on spatially adaptive filters.

Choropleth mapping continues to be a dominant mapping technique despite suffering from the Modifiable Areal Unit Problem (MAUP), which may distort disease risk patterns when different administrative units are used. Spatially adaptive filters (SAF) are one mapping technique that can address the MAUP, but the limitations and accuracy of spatially adaptive filters are not well tested. Our work examines these limitations by using varying levels of data aggregation using a case study of geocoded breast cancer screening data and a synthetic georeferenced population dataset that allows us to calculate SAFs at the individual-level. Data were grouped into four administrative boundaries (i.e., county, Zip Code Tabulated Areas, census tracts, and census blocks) and compared to individual-level data (control). Correlation assessed the similarity of SAFs, and map algebra calculated error maps compared to control. This work describes how pre-aggregation affects the level of spatial detail, map patterns, and over and under-prediction.

Novel mapping methods to describe utilization of free breast cancer screening from a state program.

INTRODUCTION: The National Breast and Cervical Cancer Early Detection Program (NBCCEDP) is a cancer screening program whose mission is to reduce cancer morbidities for uninsured and underinsured women. A primary activity is to connect women to breast cancer screening. The eligible population and utilization of NBCCEDP screening services have never been quantified at a sub-state level, which hampers effective program evaluation. Here, the Minnesota NBCCEDP, "Sage", serves as a case study to demonstrate novel spatial analysis methods that depict variation of screening rates at the local level. METHODS: Women who received breast cancer screening through Sage between 2011 and 2015 were geocoded (N = 74,712 screenings); analysis occurred between 2017 and 2019. We determine an eligible population using a synthetic population dataset that provides geographic residence and demographic information. We introduce a novel spatial analysis technique, spatially adaptive filters (SAFs), to create a utilization map of Sage breast screening services by Minnesota women. RESULTS: Between 2011 and 2015, an average of 36,979 women per year were eligible for NBCCEDP breast cancer screening services, representing 3% of the Minnesota female population 40 and older. For Minnesota NBCCEDP eligible women, the state average breast cancer screening utilization rate was 37.2%, but varied considerably by local regions within the state (range 0% to 131%, SD = 18.7%). CONCLUSIONS: This geospatial model estimated screening service utilization at the local level and enables Minnesota's Sage program to target specific areas they have yet to reach. Similar programs could employ this model to direct program activities.

Financial incentives and proactive calling for reducing barriers to tobacco treatment among socioeconomically disadvantaged women: A factorial randomized trial.

Improved strategies and scalable interventions to engage low-socioeconomic status (SES) smokers in tobacco treatment are needed. We tested an intervention designed to connect low-SES smokers to treatment services, implemented through Minnesota's National Breast and Cervical Cancer Early Detection Program (Sage) in 2017; the trial was designed to last 3 months (July through October). Participants were female smokers who were 250% below the federal poverty level (randomized N = 3723; analyzed N = 3365). Using a factorial design, participants were randomized to six intervention groups consisting of a proactive call (no call vs call) and/or a financial incentive offered for being connected to treatment services ($0 vs $10 vs $20). Simple randomization was conducted using Stata v.13. All individuals received direct mail. Participants and staff were blinded to allocation. The outcome was connection via phone to QUITPLAN Services®, Minnesota's population-based cessation services. Groups that received $10 or $20 incentives had higher odds of treatment engagement compared to the no incentive group [respectively, OR = 1.94; 95% CI (1.19-3.14); OR = 2.18; 95% CI (1.36-3.51)]. Individuals that received proactive calls had higher odds of treatment engagement compared to individuals not called [OR = 1.59; 95% CI (1.11-2.29)]. Economic evaluation revealed that the $10 incentive, no call group had the best cost-benefit ratio compared to the no incentive, no call group. Direct mail with moderate incentives or proactive calling can successfully encourage connections to population-based tobacco treatment services among low-SES smokers. The intervention could be disseminated to similar programs serving low-SES populations. This trial is registered at ClinicalTrials.gov (NCT03760107).

The Efficacy of Direct Mail, Patient Navigation, and Incentives for Increasing Mammography and Colonoscopy in the Medicaid Population: A Randomized Controlled Trial.

Background: Despite lower cancer screening rates and survival rates in the Medicaid population compared with those with private insurance, there is a dearth of population-based, evidence-based interventions targeting Medicaid clients to address this problem.Methods: This study reports results of a population-based randomized controlled trial (RCT) among all individuals enrolled in Minnesota's Medicaid program who were overdue for breast cancer (n = 22,113) and/or colorectal cancer (n = 94,294) screening. Individuals were randomized to intervention or control groups. The intervention group received persuasive and innovative direct mail materials coupled with a $20 incentive for using their Medicaid benefit to get screened. Direct mail materials provided a phone number to a call center staffed by patient navigators who addressed barriers and scheduled appointments via three-way calls. The control group received the intervention 15 months later. Primary outcomes were completion of mammography or colonoscopy within 12 weeks of the intervention. Billing claims served as evidence of screening.Results: Multivariate logistic regression showed significant differences for both breast cancer (P < 0.001) and colorectal cancer (P < 0.01). The odds of receiving a mammogram for the treatment group were significantly higher than the control group [OR = 1.30; 95% confidence interval (95% CI) = 1.16-1.46], and the treatment group was more likely to receive a colonoscopy than the control group (OR = 1.12; 95% CI = 1.04-1.21).Conclusions: This population-based intervention increased breast cancer and colorectal cancer screening in a Medicaid population overdue for screening.Impact: These findings may have broad application for reaching individuals who generally remain outside the health care system despite having public health insurance. Cancer Epidemiol Biomarkers Prev; 27(9); 1047-56. ©2018 AACR.