Cultural Beliefs About Cancer Screening: Are They Deadly?

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Cultural Beliefs About Cancer Screening: Are They Deadly? Carol Estwing Ferrans, PhD, RN, FAAN Professor and Associate Dean for Research Co-Director, Center of Excellence for Eliminating Health Disparities College of Nursing University of Illinois at Chicago

Investigative Team Carol Ferrans Garth Rauscher Elizabeth Calhoun Richard Campbell Marilyn Willis Funmi Apantaku- Onayemi Linda Graham Robin Mitchell Heather Pauls Eva Smith Barbara Akpan Dinah Ramirez Ganga Vijayasiri Timothy Johnson Richard Warnecke

Community Partners Healthcare Consortium of Illinois American Cancer Society Chicago Chapter of National Black Nurses Association Chicago Family Health Center Greater Roseland Breast Cancer Taskforce National Black Leadership Initiative on Cancer National Cancer Institute Cancer Information Service Chicago Department of Public Health Sister s Network

Rate per 100,000 Females Mortality -- Black and White Breast Cancer in Chicago, 1980-2005 White Black 50.0 45.0 40.0 38.1 41.4 35.0 30.0 25.0 37.4 116% 20.0 15.0 19.2 10.0 5.0 0.0 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Age-Adjusted Female Breast Cancer Mortality for Chicago, Per 100,000 Population Year

Breast Cancer Mortality Rates, by Race, Chicago, 1996-2005 How Much Higher is Year Black White Black Rate? 1996 36.5 36.5 0% 1999 42.0 32.5 29% 2000 41.1 29.5 39% 2001 37.3 24.4 53% 2002 41.0 24.7 66% 2003 40.4 24.0 68% 2005 41.3 19.2 116%

Early Detection is the KEY When breast cancer is detected and treated early almost all women (98%) will be alive five years later. When breast cancer is detected late only 26% of women will be alive five years later. Data from American Cancer Society

Low Screening Rates Dartmouth Atlas Project (2010): Chicago has some of the lowest mammogram screening rates in the nation Even for women whose screening is paid for by Medicare. Primary Reasons (our focus group data): Cost Beliefs Fear Goodman, D, Brownlee, S, Chang, C, Fisher, E. Regional and Racial Variation in Primary Care and the Quality of Care among Medicare Beneficiaries, A Report of the Dartmouth Atlas Project, September 9, 2010

Study 1. Cultural Beliefs about Breast Cancer Do they matter? Can they be deadly?

Cultural Beliefs Identify cultural beliefs contributing to later stage of breast cancer at diagnosis for African American, Hispanic, and Caucasian women in Chicago. Focus on beliefs interfering with Participation in Screening Diagnosis of Suspicious Breast Symptoms Follow through with Treatment

Identification of 17 Beliefs Step One: Cultural Experts/ Published Reports Identify cultural beliefs about breast cancer that could contribute to late-stage diagnosis. (41 beliefs) Step Two: Focus Groups (four groups, n = 37) Broad based: Have you ever HEARD of these beliefs or known anyone who believed them? Step Three: Cognitive Interviews (n = 19) Determine interpretation and clarity of wording of 17 true/false questions.

Newly diagnosed breast cancer patients (n = 954) Cultural beliefs were associated with: Breast cancer detected with symptoms, rather than mammogram. Longer delay (3+ months) before seeking diagnosis of suspicious symptoms. Later stage of cancer at diagnosis (Stage 2,3,4 vs 0,1). Longer delay (3+ months) in starting cancer treatment.

0 0 0.2.4.6.8.2.4.6.8.2.4.6.8 1 1 1 0 0 0.2.4.6.8.2.4.6.8.2.4.6.8 1 1 1 Misconceptions predict timing of care and later stage Symptomatic detection >90 days to medical presentation >90 days to treatment P=.0185 P=.0038 P=.0003 0 5 10 15 0 5 10 15 0 5 10 15 >90 days total delay Later stage Later stage (invasive) P < P=0.0001 P=.0099 P=.0942 0 5 10 15 0 5 10 15 0 5 10 15

Participants General Population n = 117 Suspicious Breast Symptoms (self-identified) n = 266 Breast Cancer (diagnosed 3-4 months) n = 954 Face-to-Face Interviews

Characteristics of Breast Lumps If a breast lump is not painful, it is not cancer. Gen Pop AA 5% Latina 11% White 0% Symptoms AA 14% Latina 18% White 5% Breast Cancer AA 6% Latina 18% White 1% (p<.0001)

Characteristics of Breast Lumps If a breast lump is not painful, it is not cancer. Gen Pop AA 5% Latina 11% White 0% Symptoms AA 14% Latina 18% White 5% Breast Cancer AA 6% Latina 18% White 1% (p<.0001) If a breast lump does not get bigger, it is not cancer. Gen Pop AA 13% Latina 14% White 0% (p=.05) Symptoms AA 11% Latina 4% White 5% Breast Cancer AA 13% Latina 24% White 3% (p<.0001)

Characteristics of Breast Lumps If a breast lump is not painful, it is not cancer. Gen Pop AA 5% Latina 11% White 0% Symptoms AA 14% Latina 18% White 5% Breast Cancer AA 6% Latina 18% White 1% (p<.0001) If a breast lump does not get bigger, it is not cancer. Gen Pop AA 13% Latina 14% White 0% (p=.05) Symptoms AA 11% Latina 4% White 5% Breast Cancer AA 13% Latina 24% White 3% (p<.0001) If a breast lump is touched/pressed often, the lump will turn out to be breast cancer. Gen Pop AA 13% Latina 3% White 8% Symptoms AA 7% Latina 16% White 5% Breast Cancer AA 11% Latina 30% White 2% (p<.0001)

Self-Help Techniques The more you worry about breast cancer, the more likely you will get it. Gen Pop AA 8% Latina 17% White 8% Symptoms AA 8% Latina 16% White 11% Breast Cancer AA 7% Latina 26% White 4% (p<.0001)

Self-Help Techniques The more you worry about breast cancer, the more likely you will get it. Gen Pop AA 8% Latina 17% White 8% Symptoms AA 8% Latina 16% White 11% Breast Cancer AA 7% Latina 26% White 4% (p<.0001) If you take good care of yourself, you won t get breast cancer. Gen Pop AA 13% Latina 24% White 5% (p=.05) Symptoms AA 18% Latina 27% White 11% Breast Cancer AA 8% Latina 21% White 2% (p<.0001)

Self-Help Techniques The more you worry about breast cancer, the more likely you will get it. Gen Pop AA 8% Latina 17% White 8% Symptoms AA 8% Latina 16% White 11% Breast Cancer AA 7% Latina 26% White 4% (p<.0001) If you take good care of yourself, you won t get breast cancer. Gen Pop AA 13% Latina 24% White 5% (p=.05) Symptoms AA 18% Latina 27% White 11% Breast Cancer AA 8% Latina 21% White 2% (p<.0001) If you have a breast lump, a natural remedy can help to get rid of it. Gen Pop AA 11% Latina 17% White 20% Symptoms AA 8% Latina 10% White 11% Breast Cancer AA 12% Latina 10% White 6% (=.02)

Faith-Based Beliefs If a woman has enough faith in God, she won t need treatment for breast cancer. Gen Pop AA 24% Latina 11% White 0% (p =.004) Symptoms AA 17% Latina 6% White 0% (p=.04) Breast Cancer AA 18% Latina 16% White 1% (p<.0001)

Faith-Based Beliefs If a woman has enough faith in God, she won t need treatment for breast cancer. Gen Pop AA 24% Latina 11% White 0% (p =.004) Symptoms AA 17% Latina 6% White 0% (p=.04) Breast Cancer AA 18% Latina 16% White 1% (p<.0001) Faith in God can protect you from breast cancer. Gen Pop AA 39% Latina 38% White 5% (p <.001) Symptoms AA 38% Latina 35% White 5% (p =.02) Breast Cancer AA 29% Latina 49% White 3% (p<.0001)

Faith-Based Beliefs If a woman has enough faith in God, she won t need treatment for breast cancer. Gen Pop AA 24% Latina 11% White 0% (p =.004) Symptoms AA 17% Latina 6% White 0% (p=.04) Breast Cancer AA 18% Latina 16% White 1% (p<.0001) Faith in God can protect you from breast cancer. Gen Pop AA 39% Latina 38% White 5% (p <.001) Symptoms AA 38% Latina 35% White 5% (p =.02) Breast Cancer AA 29% Latina 49% White 3% (p<.0001) If you pray enough, sometimes breast lumps will disappear. Gen Pop AA 39% Latina 33% White 25% Symptoms AA 43% Latina 18% White 11% (p<.001) Breast Cancer AA 35% Latina 27% White 7% (p<.0001)

Futility of Treatment If breast cancer is cut open in surgery, it will grow faster. Gen Pop AA 32% Latina 14% White 8% (p=.019) Symptoms AA 31% Latina 33% White 26% Breast Cancer AA 19% Latina 30% White 10% (p<.0001)

Futility of Treatment If breast cancer is cut open in surgery, it will grow faster. Gen Pop AA 32% Latina 14% White 8% (p=.019) Symptoms AA 31% Latina 33% White 26% Breast Cancer AA 19% Latina 30% White 10% (p<.0001) If a woman is poor, she won t get cured from cancer, because she won t get the best treatment. Gen Pop AA 29% Latina 25% White 42% Symptoms AA 22% Latina 12% White 4% (p=.07) Breast Cancer AA 24% Latina 29% White 35% (p=.002)

Futility of Treatment If breast cancer is cut open in surgery, it will grow faster. Gen Pop AA 32% Latina 14% White 8% (p=.019) Symptoms AA 31% Latina 33% White 26% Breast Cancer AA 19% Latina 30% White 10% (p<.0001) If a woman is poor, she won t get cured from cancer, because she won t get the best treatment. Gen Pop AA 29% Latina 25% White 42% Symptoms AA 22% Latina 12% White 4% (p=.07) Breast Cancer AA 24% Latina 29% White 35% (p=.002) If breast cancer is treated correctly, it can be cured. (FALSE) Gen Pop AA 13% Latina 19% White 10% Symptoms AA 10% Latina 0% White 11% (p=.07) Breast Cancer AA 8% Latina 6% White 13% (p=.007)

Futility of Treatment If breast cancer is cut open in surgery, it will grow faster. Gen Pop AA 32% Latina 14% White 8% (p=.019) Symptoms AA 31% Latina 33% White 26% Breast Cancer AA 19% Latina 30% White 10% (p<.0001) If a woman is poor, she won t get cured from cancer, because she won t get the best treatment. Gen Pop AA 29% Latina 25% White 42% Symptoms AA 22% Latina 12% White 4% (p=.07) Breast Cancer AA 24% Latina 29% White 35% (p=.002) If breast cancer is treated correctly, it can be cured. (FALSE) Gen Pop AA 13% Latina 19% White 10% Symptoms AA 10% Latina 0% White 11% (p=.07) Breast Cancer AA 8% Latina 6% White 13% (p=.007) It doesn t really matter if you get treated for breast cancer, because if you get cancer, it will kill you sooner or later. Gen Pop AA 13% Latina 11% White 13% Symptoms AA 3% Latina 14% White 0% Breast Cancer AA 7% Latina 25% White 1% (p<.0001)

American Cancer Society Guidelines Released January 2011 Report of the Metropolitan Chicago Breast Cancer Task Force 37 Evidence-Based Recommendations Illinois Breast Cancer Disparities Act

Study 2. Beating Breast Cancer Program Can cultural beliefs about breast cancer be changed?

Beating Breast Cancer DVD

Beating Breast Cancer DVD Five African American women, all breast cancer survivors, are featured in the film. Unscripted; each woman tells her story in her own words. Addresses cultural beliefs and fear, which were identified as significant barriers in our earlier research. One of the featured survivors is a physician, and so provides the credibility of a medical expert. Professional production company

DVD: Beating Breast Cancer "What about your male friends? How are they going to look at you? And I looked at him and I said, 'It's not about them. It's about me. I'm still a woman...and I'm focusing on living.'" Tasha, age 37

Beating Breast Cancer DVD Endorsed by the American Cancer Society. Endorsed by Chicago Department of Public Health. National Telly Award, Health and Wellness Category for short film, 2011. YouTube 1,328 views to date.

Evaluation of DVD 262 African American women participants Questionnaires completed (all within one continuous session): 1. Before watching DVD 2. Immediately following DVD 3. After Q & A with African American nurse

Mean Individual Beliefs by Time 0.500 0.450 0.400 0.350 0.300 0.250 0.200 0.150 0.100 0.050 0.000 Lump is not painful, it's not cancer Lump doesn' get bigger, it's not cancer Lump is pressed often, turn out to be BC Women with large breasts more likely to get BC More you worry about BC, more likely to get it Take good care of yourself, won t get BC Only need to get a mam if you find a problem Mammograms can cause BC BC is cut open in surgery, it will grow faster No BC in your family, don t need a mam A poor woman won t get cured from cancer, because she won t ge... If BC is treated correctly, it can be cured It doesn t matter if you get treated, because BC will kill you Enough faith in God, won t need Tx for BC Faith in God can protect you from BC Pray enough, breast lumps will disappear A natural remedy can get rid of breast lumps Time 1 Time 2 Time 3

Responses to Beating Breast Cancer DVD: 99% thought the DVD was worth watching 89% stated they learned something new from the DVD 86% reported that the DVD helped them to decide to get a mammogram.

Beating Breast Cancer Program Events within four African American communities with high death rates from breast cancer: Roseland, Pullman, West Pullman, and Riverdale. These events take place in a variety of locations, such as churches, beauty shops, food pantries, school events for parents, and others. Short Film on DVD addressing the worries about breast cancer that keep women from getting screened, presented by five African American cancer survivors. Nurse Educators (n=36) from the National Black Nurses Association and the Alpha Eta Chapter of the Chi Eta Phi Sorority provide expert information for women at our events.

Beating Breast Cancer Program Tote Bags distributed to those attending events, containing information on (1) where to go for low-cost and no-cost mammograms; (2) copy of the DVD to watch and share with others; (3) brochures on mammography and breast health. Navigation: Our staff provide personal guidance (oneon-one) for women who need help in finding a mammogram they can afford (requested by15% of women)

Dissemination: Beating Breast Cancer DVD 296 educational events have been held in the four target communities. 5,919 women have attended events and completed questionnaires Almost all women are African American (94%), so we are reaching the intended audience. DVD provides a simple, cost-effective technique that can be easily used for wide dissemination.

With gratitude to our funders: Center for Population Health and Health Disparities, University of Illinois at Chicago (NIH National Cancer Institute P50 CA106743) Center of Excellence in Eliminating Health Disparities, University of Illinois at Chicago (NIH Institute on Minority Health and Health Disparities P60 MD003424) Roybal Center for Health Promotion and Translation, University of Illinois at Chicago (NIH National Institute on Aging P30 AG022849).

Mortality Rate Ratio Black:White Breast Cancer Mortality Disparity, New York City, US & Chicago, 2000-2005 2.20 New York City US Chicago 2.16 2.00 1.80 1.60 1.66 1.68 1.62 1.53 1.40 1.31 1.39 1.36 1.36 1.39 1.36 1.47 1.20 1.21 1.00 1.13 1.03 1.04 1.01 1.08 2000 2001 2002 2003 2004 2005 Year