Title: Using the Health Belief Model to Examine Differences in Mammography Compliance Among Black and White Women
1Using the Health Belief Model to Examine
Differences in Mammography Compliance Among Black
and White Women
- Susan S. Thomas, Ph.D.1
- Victoria L. Champion, DNS, RN, FAAN 2
- Theodore K. Miller, Ph.D.3
- Usha Menon, Ph.D., RN, ANP4
- 1. Cancer Prevention Fellow, National Cancer
Institute, Bethesda, MD. - 2. Associate Dean for Research. Indiana
University School of Nursing, Indianapolis, IN. - 3. Professor, Indiana University School of Public
and Environmental Affairs. - 4. Assistant Professor, University of Utah
College of Nursing, Salt Lake City, Utah.
2Abstract
One of the most effective tools in early
detection of breast cancer is regular screening
mammography. Current studies indicate, however,
mammography utilization rates in the general
population, and more so in the Black community,
continue to fall below objectives set forth by
leading health agencies. As a result, there have
been efforts to identify health beliefs that may
impact screening mammography that are unique to
Black and White women. This cross sectional study
used the Health Belief Model as the theoretical
basis of a secondary data analysis to establish
differences in health beliefs among Black and
White women related to mammography. Data were
obtained from members of IU Medical Group or
outpatients of the General Medicine Clinic of
Barnes-Jewish Hospital. Data analysis was
conducted using structural equation modeling.
Results indicate that for White women, the Health
Belief Model hypothesized in this study explained
13 of the variance associated with mammography
compliance and 9 for Black women. Additionally,
there were differences between specific variables
that appeared to have the most explanatory power
for the two groups. These findings indicate that
the Health Belief Model, while a good starting
point, does not completely explain differences
that exist between health beliefs and their
impact on mammography use for Black and White
women.
3Introduction
- One in nine women will develop breast cancer by
the time she is 85 years old (ACS, 1999). - Black women are less likely to develop breast
cancer, but more likely to die as a result,
partly due to later stage of breast cancer
diagnosis (McDonald, 1999). - Rates of mammography use in certain states such
as Indiana and Missouri are below both Healthy
People 2010 ACS 2008 Objectives (ACS, 2001). -
- Health beliefs are significant predictors of
mammography compliance (Stein, Fox, Murata,
1991)
4Aim of the Study
- The primary aim of this study was to use the
Health Belief Model (HBM) as the theoretical
basis to examine health beliefs related to
screening mammography among Black and White
women.
5Methods
- Secondary data analysis
- Cross sectional study
- Subjects (n1045)
- Sites
- General Medicine Clinic of Barnes-Jewish Hospital
(St. Louis, MO) - 2 HMOs in Indianapolis, IN Methodist Medical
Group IU Medical Group - Inclusion criteria
- Women age 51 or older
- No mammogram in previous 15 months
- No personal history of breast cancer
- Self-identified as Black or White
- Having completed both Time 1 and Time 2 interviews
6Instrumentation
- Champion Breast Health Survey (4 Subscales on
Likert Scale) - Perceived susceptibility3 items
- beliefs of personal threat or harm related to
breast cancer - Perceived benefits7 items
- positive outcomes of obtaining a mammogram
- Perceived barriers16 items
- emotions, physical or structural concerns related
to mammography behaviors - Self-Efficacy10 items
- belief that one can successfully execute the
behavior of obtaining a mammogram
7Instrumentation (cont.)
- Breast Cancer Fear Scale (Likert scale)
- Fear10 items
- perceived threat of breast cancer accompanied by
intrusive thoughts, physiological arousal, and
mood disturbances - Powe Fatalism Inventory (Yes/No responses)
- Fatalism15 items
- belief that death is inevitable when cancer is
present - Demographic information
- Race, education, income
- Mammography use
8Data Analysis
- Exploratory data analysis
- SPSS 10.0
- Descriptive statistics
- Structural Equation Modeling
- LISREL 8.3
- Overall model based on health beliefs and
demographic information developed. - Model tested for both Black and White women to
examine differences between two groups.
9Results Demographics
10Results Demographics
- The study consisted of 1045 women form St.Louis,
MO and Indianapolis, IN who were part of a larger
study to increase mammography compliance. Blacks
made up 53 of the sample and Whites comprised
the remaining 47. The average age of the women
was 65 with a mean education of 12 years, and 66
of the sample finishing 12th grade. Over half the
sample (51) had an income that was 15,000 or
below and 71 of the women were currently not
employed.
11Initial Hypothesized Model
SES
Education (1) Income (1)
SUSCEPT
Susceptibility Scale Items (3)
BENEFITS
Benefits Scale Items (7)
COMPLY
Mamcomp (1)
BARRIERS
Barriers Scale Items (16)
SELFEFF
Self-Efficacy Scale Items (10)
FEAR
Fear Scale Items (10)
FATALISM
Fatalism Scale Items (15)
12Results Model Belief Variables
Variables Blacks ß (SE) Whites ß (SE)
Overall Model R2.09 R2.13
Income 0.15 (0.04) 0.03 (0.04)
Education 0.03 (0.05) 0.01 (0.04)
Perceived Susceptibility -0.02 (0.05) 0.08 (0.05)
Perceived Benefits 0.21 (0.08) -0.28 (0.09)
Perceived Barriers -0.19 (0.08) -0.32 (0.06)
Self efficacy -0.14 (0.06) 0.19 (0.09)
Fatalism 0.07 (0.05) -0.08 (0.05)
Fear -0.11 (0.05) -0.04 (0.05)
p lt .05
13Results Model
- For White women, the Health Belief Model
hypothesized in this study explained about 13 of
the variance associated with mammography
compliance. For Black women, the Health Belief
Model hypothesized in this study explained
approximately 9 of the variance associated with
mammography compliance.
14Results Belief Variables
- For White women, the health beliefs that were
significantly related to mammography compliance
included perceived benefits, perceived barriers,
and self-efficacy. As expected, perceived
barriers were inversely related to and
self-efficacy was directly related to mammography
compliance. For White women, however, perceived
benefits were inversely related to mammography
compliance. In general, previous research
indicates that the opposite is true, usually the
more perceived benefits of mammography that a
woman has, the more likely she is to be
mammography compliant.
15Results Belief Variables
- For Black women, the variables significantly
related to mammography compliance were income,
perceived benefits, perceived barriers, and fear.
There was a direct relationship between income
and mammography compliance. Sixty eight percent
of the Black women in this study had incomes
below 15,000.00, compared to 70 of the White
women who had incomes above 15,000.00. Perceived
benefits have generally been found to be
positively associated with mammography compliance
in previous studies (Aiken et al., 1994 Holm et
al., 1999). Conversely, there was a negative
relationship between perceived barriers and
mammography compliance, similar to results found
by others (Philips and Wilbur, 1995).
16Conclusions
- There appear to be differences in mammography use
among Black and White women that can be partially
attributed to health beliefs. - The HBM, while a good starting point, does not
appear to completely explain differences that
exist in health beliefs or mammography behavior
of Black and White women. - Future Directions
- Expand existing models of health behavior such as
the HBM or explore new models that incorporate
the current racial and socioeconomic variability
in the United States.
17References
- Aiken, L.S., West, S.G., Woodward, C.K., Reno,
R.R. (1994). Health beliefs and compliance
with mammography-screening recommendations in
asymptomatic women. Health Psychology, 13,
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Health beliefs, health locus of control, and
womens mammography. Cancer Nursing, 22,
149-156. - McDonald, C.J. (1999). Cancer statistics,
1999 Challenges in minority populations. CA,
49, 6-7. - Phillips, J.M., Wilbur, J. (1995). Adherence
to breast cancer screening guidelines among
African-American women of differing employment
status. Cancer Nursing 18, 258-269. - Stein, JA, Fox, S.A., Murata, P.J. (1991).
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