NATIONAL CAPITAL REGION COMMUNITY HEALTH GRANTS

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1 KOMEN COMMUNITY HEALTH GRANTS Because breast cancer is everywhere, SO ARE WE. At Susan G. Komen, we are committed to ENDING breast cancer forever by EMPOWERING PEOPLE, ENERGIZING SCIENCE to find the cures and ensuring QUALITY CARE for all people, everywhere. NATIONAL CAPITAL REGION COMMUNITY HEALTH GRANTS REQUEST FOR APPLICATIONS Susan G. Komen 5005 LBJ Freeway, Suite 250 Dallas, Texas Questions: Website:

2 KEY DATES Application System Open: November 3, 2014 Full Application Deadline: Monday, December 8, 2014, 5:00PM Eastern Daylight Time Award Notification: March 2015 ABOUT SUSAN G. KOMEN Susan G. Komen is the world s largest breast cancer organization, funding more breast cancer research than any other nonprofit while providing real-time help to those facing the disease. Since its founding in 1982, Komen has funded more than $845 million in research and provided more than $1.8 billion in funding to screening, education, treatment and psychosocial support programs serving millions of people in more than 30 countries worldwide. Komen was founded by Nancy G. Brinker, who promised her sister, Susan G. Komen, that she would end the disease that claimed Suzy s life. Visit komen.org or call GO-KOMEN. Connect with us on Facebook at facebook.com/susangkomen and NATIONAL CAPITAL REGION GRANTS The National Capital Region, which includes Washington D.C. and surrounding areas in Maryland and Virginia, has the highest incidence and mortality rates for breast cancer in the United States, with incidence rates 20 percent higher than the national average and mortality rates nearly 40 percent higher than the national average. i In addition, it has one of the highest incidence rates of late-stage breast cancer. ii Komen is working to reduce rates of late stage diagnosis and mortality with an emphasis on eliminating breast cancer disparities. Komen conducted a Community Profile assessment to investigate the health needs and assets in the NCR. The Community Profile assessment includes a comprehensive review of the demographic and breast cancer statistics of the NCR in order to identify target communities. The 2015 Community Profile will not be complete until Summer 2015, but the quantitative data report is completed. Please see Appendix A: Quantitative Data: Measuring Breast Cancer Impact in Local Communities on page 12 for more information. The statistics allow Komen to pinpoint where efforts will have the most impact. The second element of the assessment is an analysis of NCR breast cancer health systems. The health systems analysis focuses on understanding the gaps, needs and barriers that women encounter as they access breast health services. Finally, data is collected from women living in the target communities to gauge breast cancer understanding, knowledge of services, access barriers and the effectiveness of outreach and education efforts. Findings from the 2010 National Capital Region Community Profile revealed two main themes throughout the region: First, education efforts need to do more than raise awareness about breast cancer; they must empower and equip people to take action. Specifically, programs need to provide in-depth education on screening, breast cancer and available resources. In addition, they should be tailored to specific groups, be culturally competent and provide consistent, clear messages that lessen fear and confusion. 2 P age

3 The second theme is a lack of continuity of care throughout the continuum of care for women who are uninsured and underinsured. The continuum of care includes screening, diagnosis, treatment and follow-up care. Throughout the continuum, coordination within and between providers is needed to ensure that all patients receive timely, high-quality and culturallycompetent care and that no patient is lost to follow-up. Thus, Grants will be made in the National Capital Region (NCR) to support high impact breast cancer programs with a strong preference on education, care coordination and reducing fragmentation. Susan G. Komen invites organizations with a focus on breast health services targeting African- American, Hispanic/Latino, medically underserved, and/or low income women in the National Capital Region to respond to this competitive announcement of funding. The target populations for this grant have been selected due to the alarming disparities faced by these groups. For example, although white women are more likely to develop breast cancer than any other racial or ethnic group, iii African American women are twice as likely to die from the disease. Currently, African American women have a 41 percent higher rate of breast cancer mortality (death) than white women. Additionally, African American women under age 40 have a higher incidence of breast cancer than white women. iv African American women are also more likely to be diagnosed with more aggressive tumors than white women. Similarly, Hispanic/Latina women have a lower incidence of breast cancer than white women, but are more likely to be diagnosed with larger tumors and at a later stage than white women. v Priority I - Screening/Reducing Fragmentation Reduce fragmentation and enhance the health care system s capacity to screen and provide followup care in the NCR. Programs will create continuity between referral, screening, diagnosis and treatment within the region. Partnerships and/or collaborations are required and organizations must provide evidence of collaboration. Susan G. Komen supports partnership in which responsibilities, privileges and power are shared. The success of breast health programs also frequently depends upon active community cooperation and collaboration. The organizations involved must demonstrate how they can innovatively address this priority and how they will work together toward system changes. Evidence of a less fragmented system could include decreased time from screening to diagnosis and/or decreased time between diagnoses and treatment. The lead agency applying for Priority I may request up to $300,000 over three years on behalf of the coalition, collaboration or partnership. The project period must be three years. Example: A process or system that increases the percentage of patients who enter, stay-in or progress through the continuum of care. Strong preference will be given to programs that address the lack of care coordination. These programs must implement sustainable practices and policies to reduce fragmentation of care ensuring that patients are successfully navigated from the initial screening referral through survivorship (if required). Priority II - Provider Education Increase provider cultural competency, understanding of breast cancer screening recommendations supported by Susan G. Komen and knowledge of various referral processes to better navigate their patients through the continuum of care. Preference will be given to programs that can demonstrate 3 P age

4 provider behavior change that leads to increased referral rates and screening rates within an organization s patient population. Providers can include navigators, physicians, nurses, office staff, community health workers, and other office staff or volunteers who work with patients and can improve patient care. Partnerships and/or collaborations are required and organizations must provide evidence of collaboration. The lead agency applying for Priority II may request up to $100,000 over two years on behalf of the coalition, collaboration or partnership. The project period must be two years. Komen will only support non-medical expenses for this funding opportunity. Example: Training for office staff and health care providers to streamline and improve the screening referral process. Training for health care providers and office staff on the implementation of tools that support guideline adherence to screening among their patient population (i.e., patient reminder systems, etc.). Priority III - Public Education Implement breast cancer education programs to include tailored messages, understanding of the disease and survivorship as well as ensuring that the program is culturally competent. All education programs must demonstrate how their activities will lead to action, such as participants obtaining regular mammograms. Partnerships and/or collaborations are required and organizations must provide evidence of collaboration. The lead agency applying for Priority III may request up to $200,000 over two years on behalf of the coalition, collaboration or partnership. The project period must be two years. Komen will only support non-medical expenses for this funding opportunity. Example: A culturally-tailored education and outreach project that directly links individuals to breast health services and follow-up. Applicants must secure free or low-cost referral commitments for medical services including clinical breast exams, mammograms and follow up care. Applicants must have established relationships with screening services providers. ELIGIBILITY Applicants must ensure that all past and current Komen-funded grants or awards are up-to-date and in compliance with Komen requirements. Organizations with a current Komen Community Health Grant into 2015 from the National Capital Region and/or Komen National are not eligible to apply for funding. Lead agencies must be federally tax-exempt, non-profit organizations located in or providing services to one or more of the following locations: Washington, DC Montgomery County, MD Prince George s County, MD Alexandria City, VA Fairfax County, VA Loudon County, VA Arlington County, VA Prince William County, VA 4 P age

5 RESPONSILITITIES OF FUNDED PROGRAMS All funded programs will be required to submit semi-annual reports and a final report to include final expenditures. In addition, grantees will be required to submit a one page summary report to include notable lessons learned, challenges, successes and overall accomplishments of the program. This document will be shared with other breast health care programs in the region in order to add to the body of literature on the topic and to benefit the breast cancer community at large. All reports will be submitted electronically via Komen s online Grants emanagement System. FUNDING INFORMAITON An organization may serve as the lead agency (agency that will manage the funds and report on the project) on only one application. Only organizations applying for Priority I may request funds for screening. We accept that a program may receive funding from multiple sources. Consequently, Komen encourages leveraging funds from multiple funders to support program implementation to address demonstrated, immense community needs and gaps. If the Applicant organization is receiving in-kind support, please include a letter from a senior official of the institution providing the support, confirming the type of support and value in dollars. This letter should be uploaded under Letters of Support on the budget summary page in the system. Please note that every funding cycle from the Susan G. Komen, Community Grants Program is a competitive process for ALL applicants, including currently or previously funded organizations. Thus, refunding of previously funded programs is never guaranteed. RESTRICTIONS Projects must be specific to breast health and/or breast cancer (e.g. if a project is a combined breast and cervical cancer project, funding may only be requested for the breast cancer portion). Indirect costs (to include costs the organization would incur regardless of the project such as rent, telephone, internet, etc.), if applicable, should not exceed 10% of total direct costs. Salaries, if requested, are for personnel related to this project only and not general work of applicant. Funds may NOT be used for: o Medical or scientific research (costs for program evaluation are allowed and encouraged) o Scholarships or fellowships o Construction or renovation of facilities o Political campaigns or lobbying o Fund raising events o Professional dues or membership fees o Liability insurance o Endowments 5 P age

6 EDUCATIONAL MATERIALS AND MESSAGES Susan G. Komen is a source of information about breast cancer for people all over the world. To reduce confusion and reinforce learning, we require that grantees provide educational messages and materials that are consistent with those promoted by Komen, including promoting the breast selfawareness messages - know your risk, get screened, know what is normal for you and make healthy lifestyle choices. The consistent and repeated use of the same messages will improve retention and the adoption of the action we think are important. Please visit the following webpage before completing your application and be sure that your organization can agree to promote these messages: We do not recommend monthly breast self-exams and therefore will not fund programs that teach monthly breast self-exams or use breast models. Susan G. Komen grantees are eligible to receive preferred pricing for Komen educational materials. Komen materials should be used and displayed whenever possible. To view our educational materials, visit SELECTION CRITERIA Each grant application will be reviewed by at least three independent reviewers. They will consider each of the following selection criteria: Impact: Will the project have a substantial positive impact on increasing the percentage of people who enter, stay in or progress through the continuum of care? Will the project have a substantial impact on the priority selected? How closely does the project align with the funding priorities stated in the RFA? Does the project have a sufficient and documented plan to evaluate its impact? Feasibility: How likely is it that the objectives and activities will be achieved within the scope of the funded project? Is the project well planned? Is the budget appropriate and realistic? Does the budget justification explain in detail the reasoning and need for the costs associated with the project? Capacity: Does the organization(s), Project Director and his/her team have the expertise to effectively implement all aspects of the project? Are the organization(s) and the project team respected and valued by the target population? Additionally, the organization(s) should be able to demonstrate a sincere commitment to cultural diversity in its staffing, activities and programs. Collaboration: Does this project enhance collaboration among organizations with similar or complementary goals? Are the roles of the partners appropriate, relevant and clearly defined? Are appropriate mechanisms in place to ensure shared power, responsibilities and adequate communications between organizations? Sustainability: Is the project likely to be sustained? Are partnerships likely to be sustained past project period? Is the impact likely to be long-term? Applications will be reviewed by a committee of experts in breast cancer care, grantmaking, nonprofit administration, program management and public health. Final funding decisions will be made by the Susan G. Komen Board of Directors. 6 P age

7 ONLINE APPLICATIONS INSTRUCTIONS Susan G. Komen, Community Grants Program uses an online grant application process. All applications and attachments must be submitted using the online system. To access the system and register, please go to: Completed applications and all attachments must be submitted via the online system, on or before Monday, December 8, 2014 at 5:00PM Eastern Daylight Time. Extensions will not be granted, and incomplete applications or those received after the deadline will not be considered. NOTE: Susan G. Komen s Grants emanagement System (GeMS) will stop accepting new applications on December 1st, :00PM EDT. Applications not submitted but started prior to this date will still have access to edit and submit by December 8th, :00PM EDT. Additional Support: If you have questions or need assistance please nationalcapitalarea@komen.org. Below please see details regarding each section of the application that must be completed in the online application: Project Profile This section should include basic organization information such as primary contacts for your program and partners. Organization Summary It should include a brief description of the following: 1) organization s history and if your program is part of a larger organization, an explanation of the mission of the larger entity and your relationship to it; 2) the mission of the organization; 3) the current programs and accomplishments; 4) explanation of how your organization seeks to be diverse and inclusive; and 5) number of paid full time staff, volunteers and total annual organization budget. Project Abstract (limit 3,000 characters) This section documents important information regarding the main focus for your project. This abstract should be detailed and address the reason for the program, important project activities and anticipated outcomes, methods for evaluation, and the impact your program will make on breast cancer in your community. Project Narrative (limit 3,500 characters) The Project Narrative is the core piece of your application. Detailed information is required in this section to convey a thorough understanding of the proposed project. After reading the project narrative an individual should fully understand the components of your project, what your project intends to accomplish and why your organization and its partners are best suited to implement the proposed project. Organization Capacity (limit 3,500 characters) 7 P age

8 Explain why the applicant organization is best-suited to lead the project and accomplish the goals and objectives set forth in this application. Describe evidence of success in delivering breast health/cancer services to the proposed population. Describe your organization s fiscal capability to manage the delivery of the proposed goals and objectives and ensure adequate measures for internal control of grant dollars. Statement of Need (limit 3,500 characters) Describe the population to be served. Describe evidence of the risk/need within that population. Provide statistics specific to the target population. Project Description (limit 3,500 characters) Explain how the project s goals and objectives, as outlined in your Project Work Plan, address one of the priorities listed in the RFA. Explain how your proposed program goals and objectives relate to those of your state s comprehensive cancer control plan. In addition, describe how your proposed program objectives address your state s cancer prevention plan. Explain how your program will ensure that women will return for regular, ongoing rescreening services. Susan G. Komen encourages programs to utilize evidence-based practices to increase the use of breast cancer screening and throughout the continuum of care for women who are uninsured and underinsured. vi Past Komen Grantees (complete only if funded by Komen in the past limit 3,500 characters) If your organization has received a previous Komen grant please provide a brief summary report on your achievements. Include the date(s) of the funding and level of funding. Collaboration (limit 3,500 characters) Explain how you will work with identified partners. Describe the roles and responsibilities of all organizations or entities participating in the project. Explain how the collaboration strengthens the project and why these organizations are best suited to carry out the project and accomplish the goals and objectives set forth in this application. Sustainability (limit 3,500 characters) What resources (financial, personnel, in-kind donations, partnerships, etc.) will be needed to sustain the effort over time? How will those resources be secured by the end of the funded project period? What are your organization s plans to support the project lead to implement, manage and oversee all aspects of the proposed project? What efforts will you take to communicate this project to leadership to ensure buy-in? 8 P age

9 Describe the organization s current financial state. Has your organizational budget increased or decreased from last year? Please explain why. Evaluation (limit 3,500 characters) Describe in detail how the organization(s) will measure the achievement of project goals and objectives and how the impact of the project on the priority selected will be assessed. Describe the evaluation expertise that will be available for this purpose. What resources are allocated for evaluation in the project budget? A strong evaluation plan measures both the quantity and quality of strategy implementation and outcomes. Impact Evaluation: Assesses the changes that can be attributed to a particular intervention, such as a project, program or policy. Impact Evaluation helps us to answer key questions such as: what works, what doesn t, where, why and for how much? Process Evaluation: Assesses the delivery of programs. Process evaluation verifies what the program is and whether it is being implemented as designed. It answers the questions of what is delivered in reality and where the gaps are between program design and delivery. Project Target Demographics This section should include information regarding the various demographic groups you intend to target with your program. This does not include every demographic group your program will serve but should be based on the individuals you plan to focus your program's attention on. Key Personnel This section should include information regarding the personnel that will be needed to complete the project. Any individual playing a key role in the project should be included in this section. Please note: This is also where key staff resumes, curriculum vitae and job descriptions for new or vacant positions will be uploaded into the system. Project Work Plan This section should include the main goals and objectives for the entire project. Goals are high-level statements that provide overall context for what the project is trying to achieve. Objectives are lowlevel concrete statements that describe what the project is trying to achieve. Objectives should be written as SMART objectives. Specific To what you want to achieve. Measurable How much do you want to achieve? Achievable - Are the objectives realistic? Results-oriented Measures outcomes, not activities. Timely By when do you want to achieve the objectives? 9 P age

10 For each goal and objective, please include: Timeline for completion Intended intervention to be accomplished Individual at your organization responsible Number of individuals you intend to serve through the intervention A description of methods and techniques you will use to evaluate effectiveness Budget Provide a detailed total program budget. All funding for this program, including other sources of funding should be included. For each line item in the budget, provide a brief description of how the funds will be used and why they are programmatically necessary. Attachments Evaluation forms, surveys, logic model, etc. - related to demonstrating the effectiveness of your program as defined in your project work plan. Information regarding Key Personnel Provide a resume or curriculum vitae for key personnel that are currently employed by the applicant. Provide job descriptions for new or vacant positions. (Two page limit per individual). Letters of support, collaboration, MOU, etc. Proof of Non-Profit Status Attach your determination letter from the Internal Revenue Service to document you federal tax-exempt status. Evidence of state or local exemption will not be accepted. Please do not attach your Federal tax return. All attachments must be clearly labeled. These documents do not have a file type restriction but should be saved in the following format: OrganizationName_LogicModel (e.g. FreeClinic_LogicModel). Completed applications and all attachments must be submitted via the online system, on or before Monday, December 8, 2014 at 5:00PM Eastern Daylight Time. Extensions will not be granted, and incomplete applications or those received after the deadline will not be considered. NOTE: Susan G. Komen s Grants emanagement System (GeMS) will stop accepting new applications on December 1st, :00PM EDT. Applications not submitted but started prior to this date will still have access to edit and submit by December 8th, :00PM EDT. Additional Support: If you have questions or need assistance please nationalcapitalarea@komen.org. i U.S. Cancer Statistics Working Group. United States Cancer Statistics: Incidence and Mortality Web-based Report. Atlanta (GA): Department of Health and Human Services, Centers for Disease Control and Prevention, and National Institute; Available at: ii Henley SJ, King JB, German RR, Richardson LC, PLesica M; Centers for Disease Control and Prevention (CDC). Surveillance of screening-detected cancers (colon and rectum, breast and cervix)- United States, MMWR Surveillance Summaries 2010; 59(9): P age

11 iii American Cancer Society, Breast Cancer Facts & Figures iv American Cancer Society, Cancer Facts & Figures for African Americans v American Cancer Society, Cancer Facts & Figures for Hispanics/Latinos vi The Guide to Community Preventive Services. Cancer prevention & control, client-oriented screening interventions: client reminders. Available online at: 11 P age

12 APPENDIX A: Quantitative Data: Measuring Breast Cancer Impact in Local Communities Quantitative Data Report Introduction The purpose of the quantitative data report for the National Capital Region of Susan G. Komen is to combine evidence from many credible sources and use the data to identify the highest priority areas for evidence-based breast cancer programs. The data provided in the report are used to identify priorities within the National Capital Region s service area based on estimates of how long it would take an area to achieve Healthy People 2020 objectives for breast cancer late-stage diagnosis and mortality ( The following is a summary of the Komen National Capital Region s Quantitative Data Report. Breast Cancer Statistics Incidence rates The breast cancer incidence rate shows the frequency of new cases of breast cancer among women living in an area during a certain time period (Tables 1 and 2). Incidence rates may be calculated for all women or for specific groups of women (e.g. for Asian/Pacific Islander women living in the area). The female breast cancer incidence rate is calculated as the number of females in an area who were diagnosed with breast cancer divided by the total number of females living in that area. Incidence rates are usually expressed in terms of 100,000 people. For example, suppose there are 50,000 females living in an area and 60 of them are diagnosed with breast cancer during a certain time period. Sixty out of 50,000 is the same as 120 out of 100,000. So the female breast cancer incidence rate would be reported as 120 per 100,000 for that time period. When comparing breast cancer rates for an area where many older people live to rates for an area where younger people live, it s hard to know whether the differences are due to age or whether other factors might also be involved. To account for age, breast cancer rates are usually adjusted to a common standard age distribution. Using age-adjusted rates makes it possible to spot differences in breast cancer rates caused by factors other than differences in age between groups of women. To show trends (changes over time) in cancer incidence, data for the annual percent change in the incidence rate over a five-year period were included in the report. The annual percent change is the average year-to-year change of the incidence rate. It may be either a positive or negative number. A negative value means that the rates are getting lower. A positive value means that the rates are getting higher. 12 P age

13 A positive value (rates getting higher) may seem undesirable and it generally is. However, it s important to remember that an increase in breast cancer incidence could also mean that more breast cancers are being found because more women are getting mammograms. So higher rates don t necessarily mean that there has been an increase in the occurrence of breast cancer. Death rates The breast cancer death rate shows the frequency of death from breast cancer among women living in a given area during a certain time period (Tables 1 and 2). Like incidence rates, death rates may be calculated for all women or for specific groups of women (e.g. Black women). The death rate is calculated as the number of women from a particular geographic area who died from breast cancer divided by the total number of women living in that area. Death rates are shown in terms of 100,000 women and adjusted for age. Data are included for the annual percent change in the death rate over a five-year period. The meanings of these data are the same as for incidence rates, with one exception. Changes in screening don t affect death rates in the way that they affect incidence rates. So a negative value, which means that death rates are getting lower, is always desirable. A positive value, which means that death rates are getting higher, is always undesirable. Late-stage diagnosis For this report, late-stage breast cancer is defined as regional or distant stage using the Surveillance, Epidemiology and End Results (SEER) Summary Stage definitions ( State and national reporting usually uses the SEER Summary Stage. It provides a consistent set of definitions of stages for historical comparisons. The late-stage breast cancer incidence rate is calculated as the number of women with regional or distant breast cancer in a particular geographic area divided by the number of women living in that area (Table 1). Late-stage incidence rates are shown in terms of 100,000 women and adjusted for age. 13 P age

14 Table 1. Female breast cancer incidence rates and trends, death rates and trends, and late-stage rates and trends. Incidence Rates and Trends Death Rates and Trends Late-stage Rates and Trends Population Group Female Population (Annual Average) # of New Cases (Annual Average) Ageadjusted Rate/ 100,000 Trend (Annual Percent Change) # of Deaths (Annual Average) Ageadjusted Rate/ 100,000 Trend (Annual Percent Change) # of New Cases (Annual Average) Ageadjusted Rate/ 100,000 Trend (Annual Percent Change) US 154,540, , % 40, % 70, % HP District of Columbia 308, % NA % Maryland 2,942,268 4, % % 1, % Virginia 3,993,827 5, % 1, % 1, % Komen National Capital Region Service Area 2,324,241 2, % NA 1, % White 1,323,847 1, % NA % Black 718, % NA % AIAN 17, % SN SN SN SN SN SN API 264, % NA % Non-Hispanic/ Latina 2,009,819 2, % NA 1, % Hispanic/ Latina 314, % NA % District of Columbia - DC 308, % % % Montgomery County - MD 492, % % % Prince George's County - MD 444, % % % Arlington County - VA 99, % % % Fairfax County - VA 530, % % % Loudoun County - VA 147, % % % Prince William County - VA 190, % % % Alexandria City - VA 69, % % % Fairfax City - VA 11, % % % Falls Church City - VA 5, % SN SN SN % Manassas City - VA 17, % % % Manassas Park City - VA 6, % SN SN SN SN SN SN NA data not available SN data suppressed due to small numbers (15 cases or fewer for the 5-year data period). Data are for years for incidence and late-stage data and death data. Rates are in cases or deaths per 100,000. Age-adjusted rates are adjusted to the 2000 US standard population. Source of incidence and late-stage data: NAACCR CINA Deluxe Analytic File. Source of death rate data: CDC NCHS mortality data in SEER*Stat. Source of death trend data: NCI/CDC State Cancer Profiles. 14 P age

15 Table 2. Female breast cancer incidence and death rates, District of Columbia. Incidence Deaths Population Group # of New Cases (Annual Average) Ageadjusted Rate/ 100,000 # of Deaths (Annual Average) Ageadjusted Rate/ 100,000 US 198, , Komen National Capital Region Service Area 2, District of Columbia - DC White Black Ward 1 DC Ward 2 DC Ward 3 DC Ward 4 DC Ward 5 DC Ward 6 DC Ward 7 DC Ward 8 DC Data are for years , except for the US and Komen National Capital Region Service Area which are for Rates are in cases or deaths per 100,000. Age-adjusted rates are adjusted to the 2000 US standard population. Source of incidence data for US and Komen National Capital Region Service Area: NAACCR CINA Deluxe Analytic File. Source of death data for US and Komen National Capital Region Service Area: CDC NCHS mortality data in SEER*Stat. District of Columbia data contained in this table were provided by the District of Columbia Cancer Registry, District of Columbia Department of Health, program funded by NPCR CDC. Incidence rates and trends summary Overall, the breast cancer incidence rate in the Komen National Capital Region service area was slightly higher than that observed in the US as a whole and the incidence trend was higher than the US as a whole. The incidence rate of the NCR service area was significantly lower than that observed for the District of Columbia and the incidence trend was not significantly different than the District of Columbia. The incidence rate and trend of the NCR service area were not significantly different than that observed for the State of Maryland. The incidence rate and trend of the NCR service area were not significantly different than that observed for the State of Virginia. For the United States, breast cancer incidence in Blacks is lower than in Whites overall. The most recent estimated breast cancer incidence rates for APIs and AIANs were lower than for Non-Hispanic Whites and Blacks. The most recent estimated incidence rates for 15 P age

16 Hispanics/Latinas were lower than for Non-Hispanic Whites and Blacks. For the NCR service area as a whole, the incidence rate was lower among Blacks than Whites, lower among APIs than Whites, and lower among AIANs than Whites. The incidence rate among Hispanics/Latinas was lower than among Non-Hispanics/Latinas. The following area had an incidence rate significantly higher than the NCR service area as a whole: District of Columbia, DC The incidence rate was significantly lower in the following county: Prince George's County, MD The rest of the counties had incidence rates and trends that were not significantly different than the NCR service area as a whole or did not have enough data available. In the District of Columbia, Wards 3, 6, and 8 have the highest breast cancer incidence rates. Like the NCR service area as a whole, the incidence rate was lower among Blacks than Whites in the District of Columbia. It s important to remember that an increase in breast cancer incidence could also mean that more breast cancers are being found because more women are getting mammograms. Death rates and trends summary Overall, the breast cancer death rate in the Komen National Capital Region service area was similar to that observed in the US as a whole and the death rate trend was not available for comparison with the US as a whole. The death rate of the NCR service area was significantly lower than that observed for the District of Columbia. The death rate of the NCR service area was not significantly different than that observed for the State of Maryland. The death rate of the NCR service area was not significantly different than that observed for the State of Virginia. For the United States, breast cancer death rates in Blacks are substantially higher than in Whites overall. The most recent estimated breast cancer death rates for APIs and AIANs were lower than for Non-Hispanic Whites and Blacks. The most recent estimated death rates for Hispanics/Latinas were lower than for Non-Hispanic Whites and Blacks. For the NCR service area as a whole, the death rate was higher among Blacks than Whites and lower among APIs than Whites. There were not enough data available within the NCR service area to report on AIANs so comparisons cannot be made for this racial group. The death rate among Hispanics/Latinas was lower than among Non-Hispanics/Latinas. The following areas had a death rate significantly higher than the NCR service area as a whole: District of Columbia, DC Prince George's County, MD The death rate was significantly lower in the following county: Montgomery County, MD 16 P age

17 Significantly more favorable trends in breast cancer death rates were observed in the following county: Montgomery County, MD The rest of the counties had death rates and trends that were not significantly different than the NCR service area as a whole or did not have enough data available. In the District of Columbia, Wards 2, 5, 7, and 8 have the highest breast cancer death rates. Like the NCR service area as a whole, the death rate was higher among Blacks than Whites in the District of Columbia. Late-stage incidence rates and trends summary Overall, the breast cancer late-stage incidence rate and trend in the Komen National Capital Region service area were slightly higher than that observed in the US as a whole. The latestage incidence rate of the NCR service area was significantly lower than that observed for the District of Columbia and the late-stage incidence trend was not significantly different than the District of Columbia. The late-stage incidence rate and trend of the NCR service area were not significantly different than that observed for the State of Maryland. The late-stage incidence rate and trend of the NCR service area were not significantly different than that observed for the State of Virginia. For the United States, late-stage incidence rates in Blacks are higher than among Whites. Hispanics/Latinas tend to be diagnosed with late-stage breast cancers more often than Whites. For the NCR service area as a whole, the late-stage incidence rate was higher among Blacks than Whites and lower among APIs than Whites. There were not enough data available within the NCR service area to report on AIANs so comparisons cannot be made for this racial group. The late-stage incidence rate among Hispanics/Latinas was lower than among Non- Hispanics/Latinas. The following area had a late-stage incidence rate significantly higher than the NCR service area as a whole: District of Columbia, DC The late-stage incidence rate was significantly lower in the following counties: Montgomery County, MD Fairfax County, VA Significantly less favorable trends in breast cancer late-stage incidence rates were observed in the following area: Falls Church City, VA The rest of the counties had late-stage incidence rates and trends that were not significantly different than the NCR service area as a whole or did not have enough data available. 17 P age

18 Mammography Screening Getting regular screening mammograms (and treatment if diagnosed) lowers the risk of dying from breast cancer. Screening mammography can find breast cancer early, when the chances of survival are highest. Table 3 shows some screening recommendations among major organizations for women at average risk. Table 3. Breast cancer screening recommendations for women at average risk. Susan G. Komen American Cancer Society National Cancer Institute National Comprehensive Cancer Network US Preventive Services Task Force Mammography every year starting at age 40 Mammography every year starting at age 40 Mammography every 1-2 years starting at age 40 Mammography every year starting at age 40 Informed decisionmaking with a health care provider ages Mammography every 2 years ages Because having mammograms lowers the chances of dying from breast cancer, it s important to know whether women are having mammograms when they should. This information can be used to identify groups of women who should be screened who need help in meeting the current recommendations for screening mammography. The Centers for Disease Control and Prevention s (CDC) Behavioral Risk Factors Surveillance System (BRFSS) collected the data on mammograms that are used in this report. The data come from interviews with women age 50 to 74 from across the United States. During the interviews, each woman was asked how long it has been since she has had a mammogram. BRFSS is the best and most widely used source available for information on mammography usage among women in the United States, although it does not collect data matching Komen screening recommendations (i.e. from women age 40 and older). The proportions in Table 4 are based on the number of women age 50 to 74 who reported in 2012 having had a mammogram in the last two years. The data have been weighted to account for differences between the women who were interviewed and all the women in the area. For example, if 20.0 percent of the women interviewed are Latina, but only 10.0 percent of the total women in the area are Latina, weighting is used to account for this difference. The report uses the mammography screening proportion to show whether the women in an area are getting screening mammograms when they should. Mammography screening proportion is calculated from two pieces of information: 18 P age

19 The number of women living in an area whom the BRFSS determines should have mammograms (i.e. women age 50 to 74). The number of these women who actually had a mammogram during the past two years. The number of women who had a mammogram is divided by the number who should have had one. For example, if there are 500 women in an area who should have had mammograms and 250 of those women actually had a mammogram in the past two years, the mammography screening proportion is 50.0 percent. Because the screening proportions come from samples of women in an area and are not exact, Table 3 includes confidence intervals. A confidence interval is a range of values that gives an idea of how uncertain a value may be. It s shown as two numbers a lower value and a higher one. It is very unlikely that the true rate is less than the lower value or more than the higher value. For example, if screening proportion was reported as 50.0 percent, with a confidence interval of 35.0 to 65.0 percent, the real rate might not be exactly 50.0 percent, but it s very unlikely that it s less than 35.0 or more than 65.0 percent. In general, screening proportions at the county level have fairly wide confidence intervals. The confidence interval should always be considered before concluding that the screening proportion in one county is higher or lower than that in another county. Table 4. Proportion of women ages with screening mammography in the last two years, self-report. Population Group # of Women Interviewed (Sample Size) # w/ Self- Reported Mammogram Proportion Screened (Weighted Average) Confidence Interval of Proportion Screened US 174, , % 77.2%-77.7% District of Columbia 1,407 1, % 80.8%-86.2% Maryland 5,028 4, % 81.2%-83.9% Virginia 2,644 2, % 77.8%-81.7% Komen National Capital Region Service Area 2,838 2, % 82.5%-86.0% White 1,542 1, % 81.5%-86.0% Black 1, % 85.3%-90.4% AIAN % 52.5%-99.6% API % 60.8%-87.6% Hispanic/ Latina % 67.0%-90.8% Non-Hispanic/ Latina 2,747 2, % 82.7%-86.2% 19 P age

20 Population Group # of Women Interviewed (Sample Size) # w/ Self- Reported Mammogram Proportion Screened (Weighted Average) Confidence Interval of Proportion Screened District of Columbia - DC 1,405 1, % 80.8%-86.1% Montgomery County - MD % 77.2%-85.7% Prince George's County - MD % 83.6%-91.5% Arlington County VA % 79.7%-98.4% Fairfax County VA % 76.6%-89.4% Loudoun County VA % 59.7%-85.3% Prince William County - VA % 70.4%-91.9% Alexandria City VA % 74.5%-96.9% Fairfax City VA % 66.0%-93.4% Falls Church City VA SN SN SN SN Manassas City VA SN SN SN SN Manassas Park City - VA SN SN SN SN SN data suppressed due to small numbers (fewer than 10 samples). Data are for Source: CDC Behavioral Risk Factor Surveillance System (BRFSS). Breast cancer screening proportions summary The breast cancer screening proportion in the Komen National Capital Region service area was significantly higher than that observed in the US as a whole. The screening proportion of the NCR service area was not significantly different than the District of Columbia, was not significantly different than the State of Maryland and was significantly higher than the State of Virginia. For the United States, breast cancer screening proportions among Blacks are similar to those among Whites overall. APIs have somewhat lower screening proportions than Whites and Blacks. Although data are limited, screening proportions among AIANs are similar to those among Whites. Screening proportions among Hispanics/Latinas are similar to those among Non-Hispanic Whites and Blacks. For the NCR service area as a whole, the screening proportion was not significantly different among Blacks than Whites, not significantly different among APIs than Whites, and not significantly different among AIANs than Whites. The screening proportion among Hispanics/Latinas was not significantly different than among Non- Hispanics/Latinas. None of the counties in the NCR service area had substantially different screening proportions than the NCR service area as a whole. 20 P age

21 Population Characteristics The report includes basic information about the women in each area (demographic measures) and about factors like education, income, and unemployment (socioeconomic measures) in the areas where they live (Tables 5, 6, 7 and 8). Demographic and socioeconomic data can be used to identify which groups of women are most in need of help and to figure out the best ways to help them. It is important to note that the report uses the race and ethnicity categories used by the US Census Bureau, and that race and ethnicity are separate and independent categories. This means that everyone is classified as both a member of one of the four race groups as well as either Hispanic/Latina or Non-Hispanic/Latina. The demographic and socioeconomic data in this report are the most recent data available for US counties. All the data are shown as percentages. However, the percentages weren t all calculated in the same way. The race and ethnicity data are based on the total population in the area. The age data are based on the total female population in the area (e.g. the percent of females over the age of 40). The socioeconomic data are based on all the people in the area, not just women. Income, education and unemployment data don t include children. They re based on people age 15 and older for income and unemployment and age 25 and older for education. The data on the use of English, called linguistic isolation, are based on the total number of households in the area. The Census Bureau defines a linguistically isolated household as one in which all the adults have difficulty with English. 21 P age

22 Table 5. Population characteristics demographics, National Capital Region Population Group White Black AIAN API Non- Hispanic /Latina Hispanic /Latina Female Age 40 Plus Female Age 50 Plus Female Age 65 Plus US 78.8 % 14.1 % 1.4 % 5.8 % 83.8 % 16.2 % 48.3 % 34.5 % 14.8 % District of Columbia 41.1 % 53.7 % 0.6 % 4.6 % 91.3 % 8.7 % 41.5 % 29.8 % 12.9 % Maryland 61.1 % 32.0 % 0.6 % 6.4 % 92.2 % 7.8 % 49.4 % 34.4 % 13.9 % Virginia 71.9 % 21.1 % 0.6 % 6.5 % 92.3 % 7.7 % 48.5 % 33.9 % 13.9 % Komen National Capital Region Service Area 56.7 % 30.5 % 0.8 % 12.0 % 85.4 % 14.6 % 45.5 % 30.4 % 11.3 % District of Columbia - DC 41.1 % 53.7 % 0.6 % 4.6 % 91.3 % 8.7 % 41.5 % 29.8 % 12.9 % Montgomery County - MD 64.1 % 19.7 % 0.7 % 15.5 % 83.3 % 16.7 % 50.1 % 34.7 % 14.0 % Prince George's County - MD 24.8 % 69.4 % 1.1 % 4.7 % 86.7 % 13.3 % 46.0 % 30.9 % 11.0 % Arlington County - VA 77.8 % 9.9 % 0.9 % 11.4 % 85.3 % 14.7 % 38.8 % 25.7 % 9.7 % Fairfax County - VA 69.0 % 10.7 % 0.7 % 19.7 % 84.8 % 15.2 % 47.7 % 31.8 % 11.0 % Loudoun County - VA 74.1 % 8.9 % 0.5 % 16.5 % 87.8 % 12.2 % 41.6 % 23.5 % 7.6 % Prince William County - VA 66.4 % 23.2 % 1.2 % 9.3 % 80.4 % 19.6 % 41.3 % 25.0 % 7.9 % Alexandria City - VA 68.2 % 23.5 % 0.8 % 7.6 % 84.7 % 15.3 % 42.5 % 28.3 % 10.4 % Fairfax City - VA 75.4 % 6.5 % 1.1 % 17.0 % 84.3 % 15.7 % 50.3 % 35.7 % 15.6 % Falls Church City - VA 82.9 % 5.2 % 0.4 % 11.5 % 90.8 % 9.2 % 50.4 % 33.9 % 11.6 % Manassas City - VA 76.0 % 16.6 % 1.2 % 6.2 % 70.1 % 29.9 % 40.2 % 25.7 % 8.1 % Manassas Park City - VA 72.0 % 15.9 % 1.5 % 10.6 % 68.0 % 32.0 % 34.5 % 19.8 % 6.2 % Data are for Data are in the percentage of women in the population. Source: US Census Bureau Population Estimates 22 P age

23 Table 6. Population characteristics demographics, District of Columbia Population Group White Black AIAN API Non- Hispanic /Latina Hispanic /Latina Female Age 40 Plus Female Age 50 Plus Female Age 65 Plus District of Columbia 38.5 % 50.7 % 0.3 % 3.6 % 90.9 % 9.1 % 41.5 % 29.8 % 12.9 % Ward % 32.5% 0.5% 4.2% 79.2% 20.8% 30.2% 20.0% 8.4% Ward % 12.6% 0.3% 8.8% 90.5% 9.5% 27.8% 20.5% 9.1% Ward % 5.0% 0.2% 6.7% 92.5% 7.5% 45.3% 33.5% 15.3% Ward % 58.7% 0.4% 1.7% 81.3% 18.7% 52.7% 39.1% 18.2% Ward % 76.0% 0.4% 1.4% 93.7% 6.3% 49.2% 36.6% 17.0% Ward % 41.6% 0.4% 4.2% 95.2% 4.8% 29.1% 16.6% 11.1% Ward 7 1.8% 94.9% 0.3% 0.2% 97.7% 2.3% 49.2% 35.3% 15.1% Ward 8 3.7% 93.5% 0.2% 0.4% 98.2% 1.8% 38.0% 25.5% 8.8% Race data include categories (not shown) Some other Race and Two or More Races, so total percentages do not equal 100 percent. Race data includes the percentage of people (men and women) in the population Source of District of Columbia Race/Ethnicity Data: US Census Bureau, 2010 Source of Ward Data: District of Columbia Census 2010 Demographic Housing Profiles by Ward DC Office of Planning 23 P age

24 Table 7. Population characteristics socioeconomics, National Capital Region Population Group Less than HS Education Income Below 100% Poverty Income Below 250% Poverty (Age: 40-64) Unemployed Foreign Born Linguistically Isolated In Rural Areas In Medically Underserved Areas No Health Insurance (Age: 40-64) US 14.6 % 14.3 % 33.3 % 8.7 % 12.8 % 4.7 % 19.3 % 23.3 % 16.6 % District of Columbia 12.9 % 18.2 % 34.2 % 10.0 % 13.3 % 2.6 % 0.0 % 27.7 % 7.9 % Maryland 11.8 % 9.0 % 22.8 % 7.3 % 13.5 % 3.2 % 12.8 % 17.4 % 11.1 % Virginia 13.4 % 10.7 % 26.9 % 6.5 % 11.0 % 2.7 % 24.5 % 27.2 % 13.3 % Komen National Capital Region Service Area District of Columbia DC Montgomery County MD Prince George's County MD 10.2 % 7.8 % 18.4 % 6.4 % 24.2 % 5.7 % 2.4 % 7.7 % 11.2 % 12.9 % 18.2 % 34.2 % 10.0 % 13.3 % 2.6 % 0.0 % 27.7 % 7.9 % 8.9 % 6.3 % 16.1 % 5.7 % 31.4 % 7.6 % 2.4 % 6.2 % 11.7 % 14.2 % 8.2 % 22.9 % 8.8 % 19.8 % 4.0 % 2.0 % 11.6 % 13.9 % Arlington County - VA 7.4 % 7.1 % 12.4 % 3.4 % 23.4 % 4.5 % 0.0 % 0.0 % 7.9 % Fairfax County - VA 8.1 % 5.5 % 14.0 % 4.7 % 29.0 % 7.3 % 1.4 % 0.0 % 10.6 % Loudoun County - VA 6.4 % 3.4 % 9.5 % 4.3 % 22.2 % 4.8 % 12.6 % 9.8 % 7.9 % Prince William County VA 11.4 % 5.6 % 16.8 % 5.4 % 21.3 % 6.1 % 4.2 % 0.0 % 13.9 % Alexandria City - VA 9.0 % 7.8 % 16.4 % 4.5 % 24.5 % 5.8 % 0.0 % 0.0 % 10.6 % Fairfax City - VA 6.7 % 5.9 % 13.7 % 4.4 % 24.2 % 4.6 % 0.0 % 0.0 % 10.4 % Falls Church City - VA 4.0 % 3.9 % 6.3 % 6.3 % 20.2 % 2.5 % 0.0 % 0.0 % 5.3 % Manassas City - VA 19.8 % 13.8 % 24.5 % 7.3 % 24.5 % 13.5 % 0.0 % 0.0 % 17.0 % Manassas Park City 17.9 % 4.3 % 28.0 % 4.9 % 31.0 % 12.4 % 0.0 % 0.0 % 19.4 % VA Data are in the percentage of people (men and women) in the population. Source of health insurance data: US Census Bureau Small Area Health Insurance Estimates (SAHIE) for Source of rural population data: US Census Bureau Census Source of medically underserved data: Health Resources and Services Administration (HRSA) for Source of other data: US Census Bureau American Community Survey (ACS) for P age

25 Table 8. Population characteristics socioeconomics, District of Columbia Population Group Less than HS Education Income Below 100% Poverty Income Below 250% Poverty (Age: 40-64) Unemployed Foreign Born Linguistically Isolated In Rural Areas In Medically Underserved Areas No Health Insurance (Age: 40-64) District of Columbia 12.9 % 18.2 % 34.2 % 10.0 % 13.3 % 2.6 % 0.0 % 27.7 % 7.9 % Ward % 15.0% NA 8.7% 20.0% NA 0.0% NA 22.7% Ward 2 7.3% 15.0% NA 5.0% 19.5% NA 0.0% NA 9.7% Ward 3 2.9% 7.9% NA 2.6% 18.1% NA 0.0% NA 7.4% Ward % 12.0% NA 8.3% 20.3% NA 0.0% NA 18.7% Ward % 20.0% NA 13.7% 9.7% NA 0.0% NA 12.2% Ward % 16.0% NA 10.2% 9.4% NA 0.0% NA 5.4% Ward % 26.0% NA 16.8% 2.8% NA 0.0% NA 18.1% Ward % 36.0% NA 24.9% 2.7% NA 0.0% NA 5.7% NA- Not available Data are in the percentage of people (men and women) in the population. Source of Ward level education level, poverty and foreign born data: Census Bureau- American Community Survey (ACS) for Source of Ward level unemployment rate: Office of Labor Market Research and information estimates for 2012 Source of Ward level rural population data: US Census Bureau Census Source of Ward level health insurance data: Urban Institute tabulations on the 2009 DC Health Insurance Survey (DC-HIS) Population characteristics summary Proportionately, the Komen National Capital Region service area has a substantially smaller White female population than the US as a whole, a substantially larger Black female population, a substantially larger Asian and Pacific Islander (API) female population, a smaller American Indian and Alaska Native (AIAN) female population, and a slightly smaller Hispanic/Latina female population. The NCR s female population is slightly younger than that of the US as a whole. The NCR s education level is slightly higher than and income level is substantially higher than those of the US as a whole. There are a smaller percentage of people who are unemployed in the NCR service area. The NCR service area has a substantially larger percentage of people who are foreign born and a slightly larger percentage of people who are linguistically isolated. There are a substantially smaller percentage of people living in rural areas, a substantially smaller percentage of people without health insurance, and a substantially smaller percentage of people living in medically underserved areas. 25 P age

26 National Capital Region: The following areas have substantially larger Black female population percentages than that of the NCR service area as a whole: District of Columbia, DC Prince George's County, MD The following areas have substantially larger API female population percentages than that of the NCR service area as a whole: Montgomery County, MD Fairfax County, VA Loudoun County, VA Fairfax City, VA The following areas have substantially larger Hispanic/Latina female population percentages than that of the NCR service area as a whole: Manassas City, VA Manassas Park City, VA The following areas have substantially lower education levels than that of the NCR service area as a whole: Manassas City, VA Manassas Park City, VA The following areas have substantially lower income levels than that of the NCR service area as a whole: District of Columbia, DC Manassas City, VA The following area has substantially lower employment levels than that of the NCR service area as a whole: District of Columbia, DC The area with substantial foreign born and linguistically isolated populations is: Manassas Park City, VA The following areas have substantially larger percentage of adults without health insurance than does the NCR service area as a whole: Manassas City, VA Manassas Park City, VA 26 P age

27 District of Columbia: The following Wards have substantially larger Black female population percentages than that of the District of Columbia as a whole: Ward 4 Ward 5 Ward 7 Ward 8 The following Wards have a substantially larger API female population than that of the District of Columbia as a whole: Ward 2 Ward 3 The following Wards have substantially larger Hispanic/Latina female population percentages than that of the District of Columbia as a whole: Ward 1 Ward 4 The following Ward has a substantially larger older female population than the District Columbia as a whole: Ward 4 The following Wards have substantially lower education levels than the District Columbia as a whole: Ward 5 Ward 8 The following Wards have substantially lower income levels (below 100% poverty level) than the District of Columbia as a whole: Ward 7 Ward 8 The following Wards have substantially lower employment levels than the District Columbia as a whole: Ward 7 Ward 8 The following Wards have substantially larger percentage of adults without health insurance than the District Columbia as a whole: Ward 1 Ward 4 Ward 5 Ward 7 27 P age

28 Priority Areas Healthy People 2020 forecasts Healthy People 2020 (HP2020) is a major federal government initiative that provides specific health objectives for communities and for the country as a whole. Many national health organizations use HP2020 targets to monitor progress in reducing the burden of disease and improve the health of the nation. Likewise, Komen believes it is important to refer to HP2020 to see how areas across the country are progressing towards reducing the burden of breast cancer. HP2020 has several cancer-related objectives, including: Reducing women s death rate from breast cancer (Target: 20.6 per 100,000 women). Reducing the number of breast cancers that are found at a late-stage (Target: 41.0 cases per 100,000 women). To see how well counties in the Komen National Capital Region service area are progressing toward these targets, the report uses the following information: County breast cancer death rate and late-stage diagnosis data for years 2006 to Estimates for the trend (annual percent change) in county breast cancer death rates and late-stage diagnoses for years 2006 to Both the data and the HP2020 target are age-adjusted. These data are used to estimate how many years it will take for each county to meet the HP2020 objectives. Because the target date for meeting the objective is 2020, and 2008 (the middle of the period) was used as a starting point, a county has 12 years to meet the target. Death rate and late-stage diagnosis data and trends are used to calculate whether an area will meet the HP2020 target, assuming that the trend seen in years 2006 to 2010 continues for 2011 and beyond. Identification of priority areas The purpose of this report is to combine evidence from many credible sources and use the data to identify the highest priority areas for breast cancer programs (i.e. the areas of greatest need). Classification of priority areas are based on the time needed to achieve HP2020 targets in each area. These time projections depend on both the starting point and the trends in death rates and late-stage incidence. Late-stage incidence reflects both the overall breast cancer incidence rate in the population and the mammography screening coverage. The breast cancer death rate reflects the access to care and the quality of care in the health care delivery area, as well as cancer stage at diagnosis. 28 P age

29 There has not been any indication that either one of the two HP2020 targets is more important than the other. Therefore, the report considers them equally important. Counties are classified as follows (Table 9): Counties that are not likely to achieve either of the HP2020 targets are considered to have the highest needs. Counties that have already achieved both targets are considered to have the lowest needs. Other counties are classified based on the number of years needed to achieve the two targets. Table 9. Needs/priority classification based on the projected time to achieve HP2020 breast cancer targets. Time to Achieve Death Rate Reduction Target 13 years or longer 7-12 yrs. Time to Achieve Late-stage Incidence Reduction Target 13 years or 7-12 yrs. 0 6 yrs. Currently Unknown longer meets target Highest Medium High High Medium Highest High 0 6 yrs. Medium High Currently meets target Medium Unknown Highest Medium High Medium Medium Low Medium High Medium Medium Low Medium Low Low Medium High Medium Low Low Lowest Lowest Medium Low Lowest Unknown If the time to achieve a target cannot be calculated for one of the HP2020 indicators, then the county is classified based on the other indicator. If both indicators are missing, then the county is not classified. This doesn t mean that the county may not have high needs; it only means that sufficient data are not available to classify the county. Service Area Healthy People 2020 Forecasts and Priority Areas The results presented in Table 10 help identify which counties have the greatest needs when it comes to meeting the HP2020 breast cancer targets. For counties in the 13 years or longer category, current trends would need to change to achieve the target. Some counties may currently meet the target but their rates are increasing and they could fail to meet the target if the trend is not reversed. Trends can change for a number of reasons, including: Improved screening programs could lead to breast cancers being diagnosed earlier, resulting in a decrease in both late-stage incidence rates and death rates. Improved socioeconomic conditions, such as reductions in poverty and linguistic isolation could lead to more timely treatment of breast cancer, causing a decrease in death rates. 29 P age

30 The data in this table should be considered together with other information on factors that affect breast cancer death rates such as screening rates and key breast cancer death determinants such as poverty and linguistic isolation. Table 10. Intervention priorities for Komen National Capital Region service area with predicted time to achieve the HP2020 breast cancer targets and key population characteristics. County Priority Predicted Time to Achieve Death Rate Target Predicted Time to Achieve Late-stage Incidence Target Key Population Characteristics Alexandria City - VA Highest 13 years or longer 13 years or longer Falls Church City - VA Highest SN 13 years or longer District of Columbia - DC High 13 years or longer 8 years %Black, poverty, employment, medically underserved Prince George's County MD Medium High 13 years or longer 2 years %Black Fairfax County - VA Medium High 2 years 13 years or longer %API Prince William County - VA Medium High 5 years 13 years or longer Fairfax City - VA Medium 13 years or longer Currently meets target %API Arlington County - VA Medium Low 3 years 3 years Loudoun County - VA Medium Low 2 years 1 year %API, rural Manassas City - VA Medium Low 6 years 1 year %Hispanic, education, poverty, language, insurance Montgomery County - MD Lowest Currently meets target Currently meets target %API, foreign Manassas Park City - VA Undetermined SN SN %Hispanic, education, foreign, language, insurance NA data not available. SN data suppressed due to small numbers (15 cases or fewer for the 5-year data period). 30 P age

31 Map of Intervention Priority Areas Figure 1 shows a map of the intervention priorities for the counties in the service area. When both of the indicators used to establish a priority for a county are not available, the priority is shown as undetermined on the map. Figure 1. Intervention priorities. 31 P age

32 Data Limitations The following data limitations need to be considered when utilizing the data of the Quantitative Data Report: The most recent data available were used but, for cancer incidence and mortality, these data are still several years behind. For some areas, data might not be available or might be of varying quality. Areas with small populations might not have enough breast cancer cases or breast cancer deaths each year to support the generation of reliable statistics. There are often several sources of cancer statistics for a given population and geographic area; therefore, other sources of cancer data may result in minor differences in the values even in the same time period. Data on cancer rates for specific racial and ethnic subgroups such as Somali, Hmong, or Ethiopian are not generally available. The various types of breast cancer data in this report are inter-dependent. There are many factors that impact breast cancer risk and survival for which quantitative data are not available. Some examples include family history, genetic markers like HER2 and BRCA, other medical conditions that can complicate treatment, and the level of family and community support available to the patient. The calculation of the years needed to meet the HP2020 objectives assume that the current trends will continue until However, the trends can change for a number of reasons. Not all breast cancer cases have a stage indication. Quantitative Data Report Conclusions Highest priority areas Two areas in the Komen National Capital Region service area are in the highest priority category. Alexandria City, VA is not likely to meet either the death rate or late-stage incidence rate HP2020 targets. Falls Church City, VA is not likely to meet the late-stage incidence rate HP2020 target. Late-stage incidence trends in Falls Church City, VA (48.7 percent per year) are significantly less favorable than the NCR service area as a whole (-0.9 percent per year). 32 P age

33 High priority areas One area in the Komen National Capital Region service area is in the high priority category. The District of Columbia is not likely to meet the death rate HP2020 target. The incidence rates in the District of Columbia (139.7 per 100,000) are significantly higher than the NCR service area as a whole (126.0 per 100,000). The death rates in the District of Columbia (29.8 per 100,000) are significantly higher than the NCR service area as a whole (23.5 per 100,000). The late-stage incidence rates in the District of Columbia (58.0 per 100,000) are significantly higher than the NCR service area as a whole (45.2 per 100,000). The District of Columbia has a relatively large Black population, high poverty rates and high unemployment. Ward-level data show that death rates are highest in the District of Columbia in Ward 2 (35.7 per 100,000), Ward 5 (33.0 per 100,000), Ward 8 (30.9 per 100,000) and Ward 7 (30.1 per 100,000). In the District of Columbia the death rates for Blacks (33.1 per 100,000) are higher than that for Whites (24.7 per 100,000). 33 P age

34 i U.S. Canc er Statistics Wor ki ng Group. U nited States Canc er Statistics : Inci denc e and M ortality Web- bas ed R eport. Atl anta (GA): D epartment of H ealth and H uman Ser vic es, Centers for Dis ease Contr ol and Prevention, and National Institute; Avail abl e at: ii Henl ey SJ, King JB, Ger man RR, Ric har dson LC, PLesica M; C enters for Diseas e C ontrol and Pr eventi on (CDC). Sur veillance of scr eening-detec ted c ancers (col on and rec tum, breast and cer vi x)- U nited States, MM WR Sur veillanc e Summaries 2010; 59( 9):1-25. iii Americ an Canc er Soci ety, Breast C ancer Fac ts & Figur es iv Americ an Canc er Soci ety, C anc er F acts & Figures for African Americ ans v Americ an Canc er Soci ety, C anc er F acts & Figures for His panics/latinos vi The Gui de to Community Preventi ve Ser vic es. Canc er pr evention & c ontrol, client-ori ented scr eeni ng inter ventions: client r eminders. Avail abl e onli ne at: ommunityg uide.org/canc er/index/html. Appendices Appendix A. District of Columbia Ward map Source: Google Maps, P age