Upload
hee-soon-juon
View
216
Download
1
Embed Size (px)
Citation preview
www.elsevier.com/locate/ypmed
Preventive Medicine 39 (2004) 474–481
Predictors of adherence to screening mammography among Korean
American women
Hee-Soon Juon, Ph.D.,a,* Miyong Kim, Ph.D.,b Sharada Shankar, Ph.D.,c
and Wolmi Han, Ph.D.b
aDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USAbJohns Hopkins School of Nursing, Baltimore, MD 21205, USA
cDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
Available online 3 July 2004
Abstract
Background. Breast cancer is the most commonly diagnosed cancer among Korean American women (KAW). Many KAW are not aware
of the importance of regular screening. This research estimates the rates of regular breast cancer screening and examines the predictors and
barriers to obtaining regular mammograms.
Methods. Face-to-face surveys were conducted with 459 KAW residing in Maryland. Study participants were recruited through Korean
churches and senior housing.
Results. About 33% had regular mammograms. In multiple logistic regression analyses, the strongest correlate of regular mammograms
was knowledge of screening guidelines. Age, spoken English proficiency, and physician recommendations were associated with regular
mammograms. Employment interacted with insurance: Employed women without insurance had lower rates of mammograms than those
employed with insurance. The most frequent reason for not having regular mammograms was a woman’s belief that she was at low risk for
breast cancer.
Conclusions. Results indicate that knowledge of screening guidelines and physician recommendations for screening are important in this
minority population. Culturally relevant educational programs about breast cancer screening should be developed for less acculturated
women and recent immigrants.
D 2004 The Institute For Cancer Prevention and Elsevier Inc. All rights reserved.
Keywords: Mammography; Korean American; Access to health care; Physician recommendation; Knowledge; Barriers
Introduction 1997. During the same period, the breast cancer incidence
Lower rates of breast cancer incidence and mortality
among Asian American women in comparison to other
racial or ethnic groups led to the belief among health care
providers, policy makers, the general public, and Asian
American women themselves that they are not at risk for
breast cancer. However, recent study shows that breast
cancer incidence among Asian American women has been
rising rapidly: The annual age-adjusted incidence rate of
breast cancer among Asian American women increased
from 66.2 per 100,000 in 1988 to 77.6 per 100,000 in
0091-7435/$ - see front matter D 2004 The Institute For Cancer Prevention and
doi:10.1016/j.ypmed.2004.05.006
* Corresponding author. Department of Health Policy and Management,
Johns Hopkins Bloomberg School of Public Health, 624 North Broadway,
Baltimore, MD 21205. Fax: +1-410-955-7241.
E-mail addresses: [email protected] (H.-S. Juon), [email protected]
(M. Kim), [email protected] (S. Shankar), [email protected] (W. Han).
rate among Korean American women (KAW) increased
from 26.1 to 44.5 per 100,000 [1]. Breast cancer is the
most commonly diagnosed cancer among KAW [2].
Screening methods and programs are critical strategies for
early and timely treatment of breast cancer. Findings from
clinical trials evaluating the efficacy of screening mammog-
raphy indicate that deaths from breast cancer could be
reduced by 19–30% if guidelines for regular breast cancer
screening were followed [3]. In 2002, the U.S. Preventive
Services Task Force (USPSTF) recommended screening
mammography, with or without clinical breast examination,
every 1–2 years for women aged 40 and older [4].
The 1994 Behavioral Risk Factor Surveillance Survey
(BRFSS) of Korean Americans in California indicated that
KAW ever had mammograms far less often than the general
California population (55% vs. 90%) [5]. Similarly, about
half of the respondents in the 1993–1994 National Health
Elsevier Inc. All rights reserved.
H.-S. Juon et al. / Preventive Medicine 39 (2004) 474–481 475
Interview Survey (NHIS) of KAWapproximately 40 years of
age reported ever having a mammogram [6]. In a telephone
survey of KAWapproximately 50 years of age in California,
only 34% reported having had a mammogram within the past
2 years [7]. These rates of mammography are far lower than
the Healthy People 2010 objectives for breast cancer screen-
ing, which calls for 70% of women approximately 40 years
of age to have had a mammogram within the past 2 years [8].
A growing number of researchers are concerned about
the low use of breast cancer screening among KAW. These
studies of breast cancer screening among KAW identified
several significant barriers to mammography. These barriers
included age, level of education, income, acculturation,
health insurance, knowledge about some aspect of breast
cancer screening, and lack of encouragement from family
members to have breast cancer screening [7,9–13]. Another
predictor of mammography includes lack of recommenda-
tions by health care providers as a common characteristic of
persons who underused screening examinations [10,11,14–
17]. The effect of provider status on cancer screening is also
important for non-English speaking minorities. Having a
doctor of the same ethnicity may be associated with lower
rates of breast and cervical cancer screening in some groups
of Asian American women [18–20]. Similarly, KAW who
had a non-Korean doctor were more likely to have a
mammogram than those who had a Korean doctor. Having
a Korean doctor indicates less access to preventive breast
cancer screening [21]. This phenomenon may have to do
with patient–provider communication issues related to
physician gender and cultural factors, as many immigrant
communities have a lot more male than female physicians.
Nearly all the previous studies of KAW have focused on
the rate and predictors of having a mammogram and having
had a mammogram in the past 2 years. Few studies have
examined adherence to screening mammography within
guidelines. The aims of our project, Korean American
Cancer Project in Maryland, are to collect qualitative and
quantitative information about the cancer prevention behav-
ior of KAW and to develop and test a culturally integrated
cancer education program. As part of this project, we
conducted face-to-face surveys in Maryland during 2000.
The goal of this paper was to provide information about
regular mammography barriers and facilitators that could be
used to develop intervention strategies for KAW. To the best
of our knowledge, this is the first study to examine the
estimated rates and predictors of adherence to regular
screening mammography among KAW.
Methods
The survey was designed to collect information
concerning knowledge, attitudes, and practices toward gen-
eral health, cancer in general, and access to health care.
Participants were recruited on a voluntary basis from Korean
churches (n = 14) and low-income senior housing (n = 2) in
the Baltimore-Washington metropolitan area. The study was
approved by the Committee on Human Research (CHR) at
the Johns Hopkins Bloomberg School of Public Health.
Study sample
Church recruitment methods
We based our church sampling frame on a list of 125
Korean churches. A county-stratified random sample of 35
churches was selected, and pastors were sent letters and
fliers explaining the purpose of the project. A week later,
introductory phone calls were made to each pastor to obtain
verbal permission to conduct the study. If the pastors were
willing to participate, we set a date for the survey. Of the 35
churches sampled, 24 were successfully contacted. Despite
repeated attempts, we were not able to make contact with 11
churches by phone or letter. Of the 24 churches contacted,
58% (n = 14) participated and 42% (n = 10) refused.
Reasons given by the pastors for refusal included too few
women in the congregation, no time for the survey, and
anticipation of low cooperation from congregants.
All female congregants 40 years of age and older were
asked to participate in the survey, administered at the church
after worship services. Given the central role of the church
in the Korean American community, the support from clergy
and female church lay leaders in the recruitment process was
a key issue. We asked participating pastors to announce the
upcoming survey in the church bulletins. We also sent
confirmation letters and called pastors to remind them 1
or 2 weeks before each survey. On the day of survey, the
pastors introduced the research team to their congregations,
encouraged women to participate, and gave a motivational
message of appeal during religious services.
Senior housing recruitment methods
From our previous survey work, we estimate that ap-
proximately 85% of Korean Americans in the Baltimore-
Washington area attend church [9]. To increase the repre-
sentativeness of our sample to include nonchurch attenders,
we also conducted data collection with KAW residents of
low-income senior housing. Two senior housing complexes
were selected by word-of-mouth: one from Howard County
and the other from Montgomery County, where most
Korean Americans live. Most residents participated in the
survey.
Data collection procedure
Data were collected in churches and at the housing
complexes from June through October 2000. Face-to-face
interviews were conducted by bilingual Korean American
graduate students trained and monitored by the investigators.
The average length of the interview was 30–40 min. Since
most women were born in Korea, all interviews were done in
Korean. Before interviewing, written consent was obtained.
Confidential aspects of the survey, voluntary participation,
and the rationale for the research were discussed. Of 475
H.-S. Juon et al. / Preventive Medicine 39 (2004) 474–481476
women who came forward to be surveyed, 16 respondents
were excluded because they could not complete the interview.
The high completion rate (96%) was in part because of the
cultural rapport between interviewers and subjects who were
generally very positive about survey participation. Informa-
tion on a total of 459 women is included in the analysis: about
94% of women (n = 432) were from the churches and 6% (n =
27) were from senior housing. After the survey, women were
offered other health education opportunities, including blood
pressure screening and Korean language information pam-
phlets on hypertension, diabetes, and high cholesterol.
Table 1 incorporates the age distribution of the Korean
American women counted in 2000 U.S. census in Maryland.
Comparison of these two distributions is to demonstrate the
representativeness of our study sample. The age distribution
of our sample and that of the Census was about the same:
about two fifths were less than 50 years old (39.9% for
survey sample and 41.7% for Census). Less than one fifth
were more than 65 years old (18.5% vs. 17.3%). This
similarity in the age distribution suggests that our sample
represented the Korean population in Maryland.
Survey development and content
We used two sources of measures when developing our
survey instrument. First, we adopted measures validated and
used previously to measure health behaviors in national
surveys such as the BRFSS and the NHIS. The English
versions of these items were translated into Korean and back
translated into English to ensure equivalency. Second, the
survey development was guided by an earlier qualitative
study. The qualitative study included unstructured interviews
of key informants as well as focus groups with Korean
American women. Based on our qualitative findings, we
developed new measures to cover additional topics not in-
cluded in national survey instruments. The instrument was
pilot tested to ensure cultural appropriateness and acceptance.
This study is guided by the PRECEDE or PROCEED
model to provide a useful guide for designing and evaluat-
ing health promotion programs intended to change the
health behaviors of large groups [22]. This approach incor-
porates critical constructs from social support, adult learn-
ing, and behavior modification theories as predisposing,
enabling, and reinforcing factors related to early cancer
screening behaviors. Predisposing factors are antecedents
to behavior that provide the rationale or motivation for the
behavior, such as knowledge, beliefs, values, and attitudes.
Enabling factors are those that allow a predisposition to be
Table 1
A comparison of survey sample vs. 2000 Maryland census data
Age Survey group 2000 Census
n % n %
40–49 183 39.9 3688 41.7
50–64 191 41.6 3630 41.0
65+ 85 18.5 1534 17.3
Total 459 100 8852 100
translated into a behavior, such as accessing health care
resources and acquiring appropriate skills. Reinforcing
factors are those related to the feedback the learner receives
from others, the results of which may encourage or discour-
age behavioral change. Family members, peers, and health
care providers can offer such support. These three factors
are considered changeable characteristics. However, the
sociodemographic characteristics, acculturation, and health
condition are considered unchangeable.
Measures
The dependent variables measured respondents’ self-
reported recognition, receipt, recency, and adherence to
screening mammography based on the recent recommenda-
tions of USPSTF [4]. Respondents were asked (1) whether
they ever heard of mammograms; (2) whether they ever
received a mammogram; (3) when they received their most
recent mammogram; and (4) whether they obtained an
annual mammogram. Respondents who reported ever hav-
ing a mammogram, receiving their most recent mammo-
gram more than once in the past 2 years, and obtaining
mammogram annually were considered to be women who
get regular mammograms.
Independent variables
Age, education, marital status, and employment status
were included in the analysis as demographic character-
istics. Age was categorized into three groups, 40–49, 50–
64, and 65+ years. Education (V12, >12), marital status
(married, not married), and employment (employed, not
employed) were included as a measure of SES. Proportion
of lifetime spent in the United States (<25% vs. approxi-
mately 25%) and spoken English proficiency (1 = none/
little, 2 = some, 3 = good/fluently) were included in the
analysis as a measure of acculturation.
Health status as well as existence and severity of chronic
conditions were measured by self-evaluated health status.
For measure of health status, respondents were asked to rate
their general health status on a five-point scale (1 = very
poor to 5 = excellent). A list of chronic conditions (arthritis,
hypertension, heart disease, stroke, diabetes, cancer, hip
fracture, and emotional problems) was dichotomized as ‘at
least two severe major conditions’ vs. ‘0–1.’ This method
of assessing comorbidity from chronic illnesses was adopted
from the NHIS Supplement on Aging [23].
Variables considered to be predisposing factors included
knowledge of mammography guidelines and a score for
knowledge or beliefs of cancer risk. The knowledge or
beliefs of cancer score were calculated as the sum of
answers to five questions about whether cancer is caused
by smoking, drinking alcohol, X-rays, too much sunlight,
and bruises on the body. The sum of scores ranged from 0 to
5, dichotomized as low (0–3) and high (4–5). The knowl-
edge of mammography guidelines was assessed with two
open-ended questions: ‘‘Do you know any breast cancer
screening tests for early detection?’’ If they mentioned
Table 2
Characteristics of Korean American women from Baltimore-Washington
metropolitan areas, 2000 (n = 459)
Characteristics n %
Education
<High school 79 18.0
High school graduate 137 31.4
>High school 222 50.6
Employment status
Employed 285 63.0
Unemployed 168 37.0
Marital status
Married 347 76.4
Not married 107 23.6
Length of stay in the United States
<5 years 35 7.8
6–10 years 51 11.3
>10 years 365 80.9
Speaking English
Well/fluently 79 17.5
Some 149 33.0
Little 161 35.6
H.-S. Juon et al. / Preventive Medicine 39 (2004) 474–481 477
mammography as one of breast cancer screening tests, they
were then asked ‘‘How often do you need to have a
mammogram?’’ Based on these responses, their answer
was dichotomized as knowing mammography guideline
and no knowledge of guidelines.
Questions about insurance coverage and provider status
were considered enabling factors. Health insurance status
was dichotomized as having or not having any health
insurance coverage. The measure of provider status was
assessed by the following questions: ‘‘Is there any place that
you usually go to if you are sick or need advice about your
health, including oriental medicine doctor or clinic?’’ and
‘‘Can your doctor speak Korean?’’ Respondents who an-
swered positively to both questions were classified as
having a regular Korean doctor. Those who answered
positively to the first question but not the second question
were considered to have a regular non-Korean doctor.
Respondents who answered negatively to both questions
were considered as having no regular doctor.
Physician recommendations for a mammogram and
knowing family or friends who obtained mammograms
were considered reinforcing factors. The variable for num-
ber of friends or family who had a mammogram was
dichotomized (0 vs. more than 1).
Data analysis
We used logistic regression to examine the likelihood of
having regular mammograms across various levels of pre-
dictors. First, we performed bivariate analyses to determine
which independent variables would distinguish women who
had regular mammograms. Second, we tested interaction
terms between variables, based on literature and behavioral
or biologic plausibility. The interaction between health
insurance status and employment was to examine whether
employed women who do not have health insurance are
least likely to have regular mammograms. The significant
interactions were retained in the final mode. Finally, we
conducted multivariate logistic regression analyses to iden-
tify the most important predictors of having regular mam-
mograms for other variables. All variables with at least P <
0.20 in the bivariate analysis were included in our multi-
variate analyses [24]. The analysis was conducted using the
statistical package STATA [25], which provides maximum
likelihood logit coefficients while automatically checking
identification and collinearity.
Not at all 63 13.9Health status
Excellent/very good 134 29.6
Fair 230 50.8
Poor/very poor 89 19.6
Health insurance
Uninsured 141 32.4
Medicaid/Medicare only 79 18.1
Private insurance 216 49.5
Provider status
No provider 87 19.0
Having a Korean doctor 289 63.0
Having a non-Korean doctor 83 18.0
Results
Sample characteristics
Demographic characteristics of respondents are shown in
Table 2. The sample consisted of 459 KAWage 40 and older
residing in the Baltimore-Washington metropolitan area.
The mean age was 54 years, ranging from 40 to 89 years.
About 51% had more than a high school education. About
76% were married or living with a partner. About two thirds
were employed on a full- or part-time basis.
About 81% had lived in the United States for more than
10 years. However, less than one fifth reported that they
could speak English well or fluently. About 20% reported
health status as poor to very poor. A third reported having
no health insurance. One half was covered by private health
insurance and 18% were covered under Medicare or Med-
icaid only. About two thirds reported having a regular
Korean doctor and 18% of the women did not have any
regular provider (Table 2).
Prevalence of mammography
Table 3 shows the prevalence of mammography by age
group. About 80% had heard of mammography and about
65% had ever had a mammogram. With regard to the recency
of mammography, less than half (45.3%) reported that they
had a mammogram within the past 2 years. Only one third of
the women (32.6%) were obtaining mammograms regularly.
The rates of mammography varied significantly by age group.
Older women were least likely to have had a mammogram in
their lifetime, currently, or regularly: less than 10% of women
approximately 65 years of age had mammograms within the
past 2 years (8.7%) or had regular examinations (7.3%).
Table 3
Rate of mammography by age (n = 459)
n (%) Age group % P value*
Ever heard 366 (79.7) 40–49 years old 40.2 0.001
50–64 years old 45.1
65+ years old 14.8
Ever had 300 (65.4) 40–49 years old 39.3 0.001
50–64 years old 48.7
65+ years old 12.0
Within 2 years 208 (45.3) 40–49 years old 36.5 0.001
50–64 years old 54.8
65+ years old 8.7
Regular use 150 (32.6) 40–49 years old 34.0 0.001
50–64 years old 58.7
65+ years old 7.3
*Standard chi-square test for comparing proportions.
H.-S. Juon et al. / Preventive Medicine 39 (2004) 474–481478
Factors associated with having regular mammograms
Bivariate and multivariate analyses predicting regular
mammograms are shown in Table 4. In bivariate analysis,
age, education, health status, chronic conditions, proportion
of life spent in the United States, spoken English proficien-
cy, knowledge of mammograms guidelines, provider status,
insurance status, physician recommendations for mammo-
grams, and knowing others who had a mammograms were
significantly related to having regular mammograms (P <
0.05). Employment was marginally associated with having
regular mammograms (P < 0.10). Marital status and knowl-
edge of cancer risk were associated with having regular
mammograms at P < 0.20. In addition, interaction between
employment and insurance was suggested by stratified
analysis with regular mammograms so a multiplicative term
was included in the multivariate model.
In the final model, knowledge of mammography guide-
lines was the strongest independent correlate of having
regular mammograms. Women who had knowledge of
mammography guidelines had more than 10 times greater
odds of having regular mammograms (OR = 10.68; 95% CI,
4.97, 22.93). Spoken English proficiency was also associ-
ated: Women who speak English very well (OR = 5.76; 95%
CI 2.29, 14.49) and who speak some English (OR = 2.30;
95% CI 1.11, 4.77) were more likely to have regular
mammograms than those with poor spoken English profi-
ciency. Age was also related to having regular mammo-
grams: Women ages 50–64 were more likely to have regular
mammograms than those 40–49 of age (OR = 2.26; 95%
CI, 1.24, 4.13). Physician recommendations for mammo-
grams (OR = 2.37; 95% CI, 1.37, 4.11) were also important
correlates. The interaction between employment and insur-
ance status was significant: Employed women without
health insurance had lower rates of mammography than
those employed with insurance (OR = 0.41, 95% CI, 0.18,
0.95).
Barriers to regular screening
Those who have not had regular mammograms (n = 309)
were asked to describe the reasons for not having regular
mammograms. Beliefs of low risk of getting breast cancer
were the most cited reason (37.5%) followed by no time to
have a test (19.4%) and cost (15.2%). About 9% listed fear
to find out breast cancer. Language (8.7%) and not knowing
where to go (6.5%) were also important barriers to regular
screening (Table 5).
Discussion
Previous studies of breast cancer screening among KAW
focused on the rate of ever having a mammogram and
having had mammogram in the past 2 years. This study is
unique in its focus on obtaining a mammogram within
guidelines. Many Korean women misunderstood the con-
cept of preventive behaviors. They may not know that they
should receive a periodic mammogram and may assume
that if they once received a test, repeat screening is
unnecessary. Our estimate of mammogram in the past 2
years (45%) is similar to our previous study [9] and far
lower than the Healthy People 2010 objectives [8] for
mammography.
Knowledge of mammography guidelines was a major
predictor of regular screening. The findings here are con-
sistent with the previous study [26,27] and support the
positive effects of knowledge of mammography guidelines
on getting regular mammograms. However, evidence of
knowledge alone is not sufficient. Focus group discussions
among KAW in New York City revealed that there was
accurate knowledge about cervical cancer screening but
women rarely put this knowledge into action [28]. Similarly,
in this study, KAW with proper knowledge of breast cancer
screening guidelines may not put their knowledge into
action: Half of the women who knew the proper guidelines
were not advised by their physicians to have a mammogram.
These women could potentially be reached to have a
mammogram through physician recommendations. In con-
trast to a previous study of KAW [21], having a regular
Korean doctor was not associated with use of mammo-
grams. However, further study is needed to understand
whether physician recommendations for mammograms are
related to providers’ gender.
The proxy measure of acculturation, spoken English
proficiency, was an important correlate of regular mammo-
grams. Past studies found that lack of English language
proficiency is an important logistic barrier to screening [29–
31]. Women unable to speak or read English have many
difficulties in accessing health care services with scheduling
appointments, communication and interactions with health
professionals, and getting information on free or low-cost
cancer screening programs.
Having insurance was related to regular mammograms.
In addition, employment interacted with health insurance
status, with those employed with no health insurance being
less likely to have mammograms than women employed
with health insurance. Employed women without health
Table 4
Logistic regression for having regular mammogram (n = 459)
Crude odds ratio Adjusted odds ratio
I. Individual characteristics
Age
40–49 years old 1 1
50–64 years old 2.21
(1.44, 3.40)**
2.26
(1.24, 4.13)**
65+ years old 0.39
(0.19, 0.78)**
0.93
(0.31, 2.83)
Education
VHigh school graduate 1 1
>High school graduate 2.77
(1.83, 4.19)**
0.87
(0.45, 1.66)
Marital status
Married 1 1
Not married 1.36
(0.86, 2.15)
0.85
(0.44, 1.66)
Employment
No 1 N/A
Yes 1.48 (0.98, 2.22)*
II. General health status
Health status (1–5) 1.32
(1.06, 1.64)**
0.82
(0.60, 1.13)
Chronic conditions
0–1 1 1
2+ 0.50
(0.26, 0.95)**
0.49
(0.20, 1.19)
III. Acculturation
Proportion of life spent in the United States
<25% in life 1 1
z25% in life 4.08
(2.41, 6.90)**
1.31
(0.63, 2.76)
Speaking English
None/little 1 1
Some 3.72
(2.30, 6.03)**
2.30
(1.11, 4.77)**
Well/fluently 9.00
(5.04, 16.08)**
5.76
(2.29, 14.49)**
IV. Predisposing factors
Knowledge of cancer risk
Low (0–3) 1 1
High (4–5) 1.30
(0.87, 1.94)
0.97
(0.56, 1.68)
Knowledge of mammography guideline
No 1 1
Yes 9.92
(5.56, 17.68)**
10.68
(4.97, 22.93)**
V. Enabling factors
Provider status
Korean doctor 1 1
Non-Korean doctor 2.71
(1.64, 4.56)**
1.35
(0.68, 2.66)
No provider 0.38
(0.20, 0.73)**
0.51
(0.21, 1.28)
Having insurance
No 1 N/A
Yes 3.00
(1.89, 4.75)**
Table 4 (continued)
Crude odds ratio Adjusted odds ratio
VI. Reinforcing factors
Physician recommendations
No 1 1
Yes 3.83
(2.54, 5.77)**
2.37
(1.37, 4.11)**
Close friends or family with mammography
None 1 1
1+ 2.25
(1.49, 3.39)**
1.20
(0.68, 2.09)
Employment and insurance status
Employed with insurance 1 1
Employed/no insurance 0.21
(0.11, 0.40)**
0.41
(0.18, 0.95)**
Unemployed with insurance 0.49
(0.30, 0.78)**
1.36
(0.63, 2.92)
Unemployed/no insurance 0.34
(0.16, 0.72)**
2.54
(0.85, 7.63)
*P < 0.10.
**P < 0.05.
H.-S. Juon et al. / Preventive Medicine 39 (2004) 474–481 479
insurance may require special attention. Many Korean
Americans own small businesses that do not provide em-
ployer-sponsored health insurance plans. Women work long
hours 6 days each week with their husbands in these shops
and may be hard to attract to screening programs offered
during the hours their businesses are open. Additionally,
screening programs with eligibility criteria based solely on
income may not target these women because they appear to
have some financial resources. Our data would argue for
special programs to target these women. Churches may be
an important point of contact because in light of work
schedules, many women consider Sunday involvement with
their church community as their primary opportunity for
social connections. This may explain that employment is
important in this population since they work very long
hours. About one fifth of the women reported no time to
have a mammogram as a barrier to regular screening.
A salient issue for having regular mammograms is
whether or not women understand and value a behavior
which is essentially early detection in nature. Their belief of
low risk of getting breast cancer is the most important
barrier to having regular mammograms. This may indicate
that many first generation KAW are not familiar with the
message of cancer control through early detection and
treatment.
Table 5
Barriers to having regular mammogram (n = 309)
n (%)
No risk for breast cancer 116 (37.5)
No time to have the test 60 (19.4)
Too expensive (cost) 47 (15.2)
Fear to find out breast cancer 29 (9.4)
Language barrier 27 (8.7)
Do not know where to go 20 (6.5)
H.-S. Juon et al. / Preventive Medicine 39 (2004) 474–481480
This study has several limitations. A sampling frame
from Korean churches was used because religion is an
important aspect of Korean culture. To minimize the
sampling bias due to excluding those who do not go to
church, we also included residents of low-income senior
housing. Therefore, the results of the study cannot be
generalized to KAW who do not attend church and who
do not live in senior housing. Second, there may have been
measurement error as a result of using self-reports of
cancer screening. Several studies have established that
self-reports overestimate the prevalence of cancer screening
[32–34]. In addition, a recent study of a multiethnic and
multilingual population showed the consistent findings of
overestimated rates of self-reported cancer screening [35].
However, these studies showed that self-reports of mam-
mogram are fairly reliable. Finally, the survey was admin-
istered by face-to-face interviews. The responses may be
subject to desirability response bias, in which the respond-
ents try to answer ways in which the interviewer would
prefer. For all these reasons, our findings should not be
considered in isolation, but together with information from
other studies of KAW, to build a composite understanding
of this diverse population.
Our findings have several implications for KAW. First, in
light of our finding that acculturation is significantly asso-
ciated with regular mammograms, targeting intervention
strategies to less acculturated women are of value. In
response to the rapid growth of this population, it is of
public health value to develop culturally relevant breast
cancer programs for less acculturated and recent immigrants.
Second, a strategy of education about screening guidelines,
along with physician referrals should be implemented. Fi-
nally, as many Korean Americans attend church, intervention
strategies through Korean churches will be effective to
coordinate with community outreach and professional efforts
and to provide health education and services.
Acknowledgments
This study was supported by the National Cancer
Institute (R03 CA84818) and the Susan G. Komen Breast
Cancer Foundation (POP0100420). For their support and
cooperation in this project, we thank the Korean pastors
who provided in-kind support for the survey.
References
[1] Deapen D, Liu L, Perkins C, Bernstein L, Ross RK. Rapidly rising
breast cancer incidence rates among Asian-American women. Int J
Cancer 2002;99:747–50.
[2] Parker S, Davis K, Wingo P, Ries LAG, Heath Jr CW. Cancer Statis-
tics by race and ethnicity. Cancer J Clin 1998;48:31–48.
[3] Fletcher SW, Black W, Harris R, Rimer BK, Shapiro S. Report of the
international workshop on screening for breast cancer. J Natl Cancer
Inst 1993;85:1644–56.
[4] U.S. Preventive Services Task Force. Recommendation: screening for
breast cancer, 2002. Agency for Healthcare Research and Quality,
Rockville, MD. http://www.ahrq.gov/clinic/uspstf/uspsbrca.htm.
[5] Kang SH, Chen AM, Lew R, Min K, Moskowitz JM, Wismer BA,
et al. Behavioral risk factor survey of Korean Americans—Alameda
County, California; 1994. MMWR 1997;46:774–7.
[6] Kawaga-Singer M, Pourat N. Asian American and Pacific Islander
breast and cervical carcinoma screening rates and healthy people 2000
objectives. Cancer 2000;89:696–705.
[7] Wismer BA, Moskowitz JM, Chen AM, et al. Mammography and
clinical breast examination among Korean American women in two
California counties. Prev Med 1998;27:144–51.
[8] US Department of Health and Human Services. Healthy People 2010:
national health promotion and disease prevention objectives. DHHS
Publ., vol. PHS 91-50212. Washington (DC): US Public Health Ser-
vice; 2000. p. 3–26.
[9] Juon HS, Choi Y, Kim MT. Cancer screening behaviors among Ko-
rean American women. Cancer Detect Prev 2000;24(6):589–601.
[10] Maxwell AE, Bastani R, Warda US. Mammography utilization and
related attitudes among Korean-American women. Women Health
1998;27:89–107.
[11] Han Y, Williams RD, Harrison RA. Breast cancer screening knowl-
edge, attitudes, and practices among Korean American women. Oncol
Nurs Forum 2000;27:1585–91.
[12] Kim K, Yu E, Chen EH, Kim JK, Brintnall RA. Breast cancer screen-
ing knowledge and practices among Korean American women. Asian
Am Pac Isl J Health 1998;6:263–75.
[13] Juon HS, Seo Y, Kim MT. Breast and cervical cancer screening tests
among Korean American elderly women. Eur J Oncol Nurs 2002;
6:228–35.
[14] Tang TS, Solomon LJ, McCracken LM. Cultural barriers to mammog-
raphy, clinical breast exam, and breast self-exam among Chinese-
American women 60 and older. Prev Med 2000;31:575–83.
[15] Metsch LR, McCoy CB, McCoy HV, Pereyra M, Trapido E, Miles C.
The role of the physician as an information source on mammography.
Cancer Pract 1998;6:229–36.
[16] Burnett CB, Steakley CS, Tefft MC. Barriers to breast and cervical
cancer screening in underserved women of the District of Columbia.
Oncol Nurs Forum 1995;22(6):1551–7.
[17] Tu S-P, Yasui Y, Kuniyuki AA, Schwartz SM, Jackson JC, Hislop TG,
et al. Mammography screening among Chinese-American women.
Cancer 2003;97:1293–302.
[18] McPhee SJ, Bird JA, Davis T, Ha NT, Jenkins CN, Le B. Barriers to
breast and cervical cancer screening among Vietnamese-American
women. Am J Prev Med 1997;13:205–13.
[19] Bird JA, McPhee SJ, Ha NT, Le B, Davis T, Jenkins CN. Opening
pathways to cancer screening for Vietnamese-American women: lay
health workers hold a key. Prev Med 1998;27:821–9.
[20] Jenkins CNH, McPhee SJ, Bird JA, Pham GQ, Nguyen BH, Nguyen
T, et al. Effect of a media-led education campaign on breast and
cervical cancer screening among Vietnamese-American women. Prev
Med 1999;28:395–406.
[21] Lew AA, Moskowitz JM, Ngo L, et al. Effects of provider status on
preventive screening among Korean American women in Alameda
County California. Prev Med 2003;36:141–9.
[22] Green LW, Kreuter MW. Health promotion planning: an education-
al and environmental approach. Mayfield (CA): Mountain View;
1991.
[23] Guralink JM, LaCroix AZ, Everett DF, Kovar MG. Aging in the
eighties: the prevalence of co-morbidity and its association with dis-
ability. Adv Data Vital Health Stat, vol. 170. Hyattsville (MD): Na-
tional Center for Health Statistics; 1989.
[24] Hosmer DW, Lemeshow S. Applied logistic regression. New York:
Wiley-Interscience Publication; 2000.
[25] StataCorp. S. Stata Statistical Software: Release 8.0. College Station
(TX): Stata Corporation; 2002.
[26] Ramirez AG, Suarez L, Laufman L, Barroso C, Chalela P. Hispanic
H.-S. Juon et al. / Preventive Medicine 39 (2004) 474–481 481
women’s breast and cervical cancer knowledge, attitudes, and screen-
ing behaviors. Am J Health Promotion 2000;14:292–300.
[27] Yi JK, Prows SL. Breast cancer screening practices among Cambo-
dian women in Houston Texas. J Cancer Educ 1996;11:221–5.
[28] Lee MC. Knowledge, barriers, and motivators related to cervical can-
cer screening among Korean-American women. Cancer Nurs 2000;
23:168–75.
[29] Mandelblatt JS, Gold K, O’Malley AS, Taylor K, Cagney K, Hop-
kins JS, et al. Breast and cervix cancer screening among multiethnic
women: role of age, health, and source of care. Prev Med 1999;28:
418–25.
[30] Pham CT, McPhee SJ. Knowledge, attitudes, and practices of breast
and cervical cancer screening among Vietnamese women. J Cancer
Educ 1992;7:305–10.
[31] Uba L. Cultural barriers to health care for Southeast Asian refugees.
Public Health Rep 1992;107:544–8.
[32] Gordon NP, Hiatt RA, Lampert DI. Concordance of self-reported data
and medical record audit for six cancer screening procedures. J Natl
Cancer Inst 1993;85:566–70.
[33] Suarez L, Goldman DA, Weiss NS. Validity of Pap smear and mam-
mography self-reports in a low-income Hispanic population. Am J
Prev Med 1995;11:94–8.
[34] Newell S. Accuracy of patient’s recall of Pap and cholesterol screen-
ing. JAMA 2000;90:1431–5.
[35] McPhee SJ, Nguyen TT, Shema SJ, Nguyen B, Somkin C, Vo P,
et al. Validation of recall of breast and cervical cancer screening
by women in an ethnically diverse population. Prev Med 2002;35:
463–73.