ABSTRACT
BACKGROUND
Little is known about factors associated with willingness to undergo colorectal cancer (CRC) screening for personal or public health benefit among women from diverse race/ethnic groups.
OBJECTIVE
To evaluate factors associated with willingness to undergo CRC screening for personal and public health benefit among women from diverse race/ethnic groups.
METHODS
We interviewed women aged 50 to 80 from four racial/ethnic groups from primary care clinics in 2003–2005. We asked about demographics, CRC screening knowledge and history, perceived risk of colon cancer, and about the outcomes of intention to be screened for personal benefit and for public health benefit.
RESULTS
Of the 492 women who completed the interview, 32 % were White, 16 % were African American, 21 % were Latina and 32 % were Asian. Up-to-date screening was reported by 77 % of women, with similar numbers obtaining fecal occult blood test (FOBT) within 2 years or colonoscopy within 10 years. The majority of women were “likely or very likely” to get FOBT or colonoscopy after learning the benefits and risks. Multivariate models showed that compared to Whites, fewer Asians would undergo colonoscopy (OR = 0.28; 95 % CI: 0.12, 0.63), while more Latinas would undergo colonoscopy (OR = 6.14; 95 % CI: 1.77, 21.34) and obtain regular CRC screening (OR = 4.47; 95 % CI: 1.66, 12.04). The majority would obtain CRC screening even if they would not personally benefit; those who perceived themselves to be at higher than average cancer risk were more likely to participate in CRC screening for public health benefit (OR = 2.32; 95 % CI: 1.32, 4.09).
CONCLUSIONS
The majority of women are willing to undergo screening for personal benefit. Asians were less likely, and Latinas more likely, to accept colonoscopy. Most are also willing to undergo screening for public health benefit. Self-perceived risk of CRC was the most consistent predictor of willingness and intention to be screened for either personal or public health benefit
KEY WORDS: colonoscopy, fecal occult blood test, colorectal cancer screening, racial/ethnic groups, women
BACKGROUND
The United States Preventive Task Force recommends routine colorectal cancer (CRC) screening for men and women aged 50–75, and consideration of screening, based on comorbidities and other risks and benefits, in men and women aged 76–85. Although colorectal cancer screening rates are increasing nationally, Latinos, African Americans and Asians have lower rates of CRC screening compared to Whites, based on national data in 2010.1 Among Whites, 59.8 % had a fecal occult blood test (FOBT) test in the past year or a lower endoscopy in the past 10 years, compared to 46.5 %, 55 % and 46.9 % in Latinos, African Americans and Asians, respectively. There were no gender differences, but lower educational achievement and more recent immigrants reported significantly less CRC screening.1
There is limited information on the role of CRC knowledge and other factors that influence willingness to be screened in age appropriate diverse women. Most persons respond that their physician’s recommendation is essential to obtain a screening test,2,3 and facilitating access to health care and screening tests becomes a dominant factor. However, individual factors such as age, knowledge of risks and benefits of screening, belief in following screening guidelines and risk perception may also affect intent to screen.2,4 Finally, since screening benefits in terms of mortality reduction are measured at the population level, most women who are screened do not receive individual benefit other than the knowledge of being disease free. Our goal was to understand the factors associated with willingness to undergo and continue CRC screening, and to ask whether or not women are willing to have CRC screening with the accompanying personal risk to achieve a public health benefit of decreasing population cases.
METHODS
Design Overview
CRISP (Communication of RISk Project) was a cross sectional survey designed to assess the association between risk perception and cancer screening behavior among women from diverse race/ethnic groups. Women were randomly assigned to answer one of the three scenario questionnaires focused on receiving CRC screening, breast cancer chemoprevention, or ending cervical cancer screening. This paper only concerns the questions related to willingness to be screened for CRC, and results from other analyses have been published elsewhere.5–9 Interviews took place between October 2003 and December 2005.
Setting and Participants
Women were recruited, screened by telephone, and invited for face-to-face interviews lasting up to 90 min. The clinical sites for recruitment were four primary care practices at the University of California San Francisco (UCSF) Medical Center and community-based primary care clinics located in San Francisco, California.
Eligibility criteria included: 1) age 50–80 years; 2) ability to speak English, Spanish, Cantonese or Mandarin; 3) self-identified race/ethnicity as White, Latina, African American or Asian, and 4) at least one visit to their primary care clinician in the previous 2 years. Women who saw multiple clinicians, who had cancer at the time of the survey, or who had cognitive impairments were excluded. Women with a history of CRC were excluded.
Study Procedures
A list of potentially eligible women was generated from available patient administrative data (e.g. age, race/ethnicity) from each clinical site, and all clinicians were asked for permission to contact their patients. Personalized letters were sent to 4,523 participants; 20 % could not be reached due to incorrect contact information, and 19 % were ineligible because of illness, language or having left the physician’s practice. Of the remaining 2,746 women, 1,319 (48 %) completed a 20-minute telephone questionnaire 2 weeks after mailing and 1,160 participants completed the face-to-face interview. Only those participants who were randomized to the CRC screening scenario were included in this analysis (N = 492). Institutional Review Boards at UCSF and the community clinics approved the study.
Measures: Predictors
Items were derived from standard questions developed and used in previous surveys, and from formative focus groups with women in the area of cancer screening and their perceptions of risk.10,11 The questionnaire was developed in three languages (Spanish, English, Cantonese/Mandarin) using bilingual experts, and pre-tested in each of the race/ethnic groups. The telephone survey asked about age, years of education, marital status, household income, language use, health insurance coverage, race/ethnicity, birthplace, personal and family history of cancer, and type of cancer. Health status was measured by the Medical Outcomes Study Short Form 12v2,12 and numeracy was measured by an eight-item scale of simple mathematical operations on risk magnitudes.13,14
Perceived risk of colon cancer was asked with a comparative item as to whether respondent perceived herself at higher than “average risk”. Risk perception was based on a conceptual framework that included the nature and probability of benefit and harm and the factors that influence individual susceptibility.15 We also asked participants to estimate their absolute risk of colon cancer during their lifetime. Participants were told that the average woman had about a 6 % lifetime risk of developing CRC, and about a 3 % lifetime risk of dying from CRC.16 Women were asked to estimate their absolute risk of developing CRC with the help of a visual icon array of 100 women to illustrate the average risk of 6 %. The icon array is described in more detail in a prior publication.9
Use of cancer screening tests within recommended intervals was determined by asking about most recent FOBT and colonoscopy in the previous 10 years. Knowledge about CRC and screening was measured by nine true-false questions: 1) A colon polyp can be removed to prevent cancer, 2) If your FOBT is abnormal, then you definitely have cancer, 3) a woman may get CRC even if she is screened, 4) if a woman has a colon polyp, she definitely has cancer, 5) A woman could have a colonoscopy and have no puncture of the colon, 6) having a family history increases a woman’s chance of colon cancer, 7) If a woman does not have a family history of colon cancer, she is not at risk for getting colon cancer, 8) the risk of a woman getting colon cancer is higher than the risk of her getting the flu and 9) some colon polyps are precancerous (could become cancer if not removed). A summary knowledge score was generated (range 0 to 9) for correct answers and divided into three categories of 0 to 6, 7–8, and 9 of similar sample size.
Measures: Outcomes
Women’s intention and willingness to be screened for colorectal cancer for individual and for public health benefit were the main outcomes. The first scenario provided quantitative estimates of benefits and harms associated with CRC screening. Women were told that about 30 out of every 1,000 women who have not been screened will die from colon cancer, but this would be reduced by 33 % with regular CRC screening and removal of polyps before cancer developed, so that only 20 out of 1,000 women who have been screened would die from colon cancer. The risk of a puncture associated with colonoscopy was described as 1 in 1,000, and participants were told that out of 10,000 women who have a colonoscopy, three may die from having a complication of the test.16,17 After hearing the risks and benefits, women were asked about their willingness to undergo screening.
In the second scenario, we asked about willingness to be screened for public health benefit independent of potential individual benefit. We asked about women’s willingness to have CRC screening, despite the risk of possible serious complications including intestinal puncture, because if most women were screened there would be fewer cases of colorectal cancer in California. We also asked whether women would encourage other women to be screened for CRC because another woman’s life might be saved.
Statistical Analysis
We assessed differences in study population characteristics by race/ethnic group using chi-squared tests for categorical variables and t-test for continuous variables. We also described the differences in screening behavior by race/ethnic group in bivariate analysis. We examined the association between participant characteristics and willingness and intention to receive screening using multivariate logistic regression models controlled for age, education, income, marital status, family and self-cancer history, health status, insurance coverage, employment, and numeracy, knowledge and perceived risk. Because physician recommendation is the biggest predictor of receiving CRC screening and because it is not possible to receive CRC screening without it,3 we did not include this variable in the models. We modeled separate multivariate logistic regressions to examine the predictors of willingness and intention to receive screening for public health benefit. The same covariates were included in both models. All analyses were conducted using STATA 11.18
RESULTS
Of 499 women randomized to the CRC scenario, 492 completed interviews (Table 1). Most patients were from race/ethnic minority groups and more than half had attended college. The survey was completed in English by 57 %, in Spanish by 16 %, in Cantonese by 26 % and in Mandarin by 1 %. The majority were either married or living with a partner and reported being in good or excellent health. About half had private insurance, 22 % had no insurance, and less than half were employed. Almost half reported a family history of cancer, and 20 % thought that they were at a higher than “average” risk of developing CRC. Women estimated their absolute lifetime risk of developing CRC as 13 % using visual icon arrays. The mean number of knowledge questions correct (out of 9) was 7.3. There were statistically significant differences in all demographic and knowledge variables by race/ethnicity.
Table 1.
Total (n = 492) N (%) | White (n = 153) N (%) | African American (n = 77) N (%) | Latino (n = 105) N % | Asian (n = 157) N % | P for difference between groups | |
---|---|---|---|---|---|---|
Age (years) | ||||||
50–59 | 299 (61) | 105 (69) | 46 (60) | 48 (46) | 100 (64) | < 0.0001 |
60–69 | 141 (29) | 36 (24) | 22 (29) | 33 (31) | 50 (32) | |
70–80 | 52 (11) | 12 (8) | 9 (12) | 24 (23) | 7 (5) | |
Education | ||||||
Less than high school | 169 (34) | 1 (1) | 8 (10) | 58 (56) | 102 (65) | < 0.0001 |
High school/Some college | 158 (32) | 46 (30) | 46 (60) | 34 (33) | 32 (20) | |
More than college | 164 (33) | 106 (69) | 23 (30) | 12 (12) | 23 (15) | |
Annual household income | ||||||
$20,000 or less | 187 (45) | 24 (17) | 32 (46) | 52 (65) | 79 (64) | < 0.0001 |
$20,001–50,000 | 94 (23) | 33 (24) | 18 (26) | 17 (21) | 26 (21) | |
$50,000 or more | 131 (32) | 81 (59) | 20 (29) | 11 (14) | 19 (15) | |
Marital status | ||||||
Never/Formerly Married | 215 (44) | 73 (48) | 46 (60) | 58 (56) | 38 (24) | < 0.0001 |
Married/partner | 275 (56) | 79 (52) | 31 (40) | 46 (44) | 119 (76) | |
Health insurance | ||||||
Private | 227 (47) | 112 (74) | 36 (47) | 34 (33) | 45 (30) | < 0.0001 |
Public | 147 (31) | 33 (22) | 36 (47) | 49 (48) | 29 (19) | |
No insurance | 107 (22) | 7 (5) | 4 (5) | 20 (19) | 76 (51) | |
Health status | ||||||
Poor/Fair | 217 (44) | 29 (19) | 34 (44) | 57 (54) | 97 (62) | < 0.0001 |
Good | 141 (29) | 42 (28) | 27 (35) | 29 (28) | 43 (27) | |
Very Good/Excellent | 133 (27) | 81 (53) | 16 (21) | 19 (18) | 17 (11) | |
Employment | ||||||
Full/part-time | 197 (42) | 86 (61) | 31 (43) | 34 (34) | 46 (30) | < 0.0001 |
Not working | 95 (20) | 11 (8) | 5 (7) | 15 (15) | 64 (42) | |
Retired | 99 (21) | 29 (20) | 15 (21) | 34 (34) | 21 (14) | |
Disability | 77 (17) | 16 (11) | 22 (30) | 18 (18) | 21 (14) | |
Numeracy Score† | ||||||
0–2 | 144 (29) | 7 (5) | 26 (34) | 60 (57) | 51 (33) | < 0.001 |
3–5 | 143 (29) | 22 (14) | 32 (42) | 32 (31) | 57 (36) | |
6–8 | 205 (42) | 124 (81) | 19 (25) | 13 (12) | 49 (31) | |
Personal history of cancer | 104 (21) | 38 (26) | 18 (23) | 27 (26) | 21 (14) | 0.0337 |
Family history of cancer | 208 (44 ) | 92 (62) | 41 (56) | 41 (40) | 34 (23) | < 0.0001 |
Perceived Risk of CRC | ||||||
Higher than average risk | 93 (20) | 40 (26) | 15 (20) | 24 (24) | 14 (10) | 0.0003 |
Estimated mean absolute risk of lifetime CRC—% | 13.3 | 12.2 | 14.2 | 21.6 | 7.8 | < 0.0001 |
Summary CRC Knowledge Score | ||||||
0–6 | 152 (31) | 6 (4) | 8 (10) | 29 (28) | 109 (69) | < 0.0001 |
7–8 | 137 (28) | 26 (17) | 30 (39) | 46 (44) | 35 (22) | |
9 | 203 (41) | 121 (79) | 39 (51) | 30 (29) | 13 (8) |
*Some cells do not equal 100 % due to missing data: 18 % had missing income data, 5 % had missing employment status, and < 1 % of values of other variables were missing.
†Numeracy is measured by an eight-item scale13,14
‡Summary knowledge score was calculated as the mean number of correct answers of a series of nine colorectal cancer knowledge questions (see methods). A higher score = higher summary knowledge.
CRC screening behavior and perceived importance by race/ethnic group are shown in Table 2. Almost half of women reported having had an FOBT in the past 2 years. Asians were much more likely than Whites to report receipt of FOBT (54 % vs. 30 %, p < 0.001). Less than half of all women reported a colonoscopy in the last 10 years, but Whites were much more likely than Asians to report colonoscopy (62 % vs. 20 %: p < 0.001). Up-to-date screening was similar by race/ethnicity (72 % to 83 %, p = 0.227). The majority reported that it was important to continue to get yearly FOBT and regularly scheduled colonoscopies. There were significant differences by race/ethnicity, as Latinas were more likely than White women to report continuing regular CRC screening (95 % vs. 84 %, p = 0.015).
Table 2.
Total (n = 492) N (%) | White (n = 153) N (%) | African American (n = 77) N (%) | Latino (n = 105) N (%) | Asian (n = 157) N (%) | P for difference between groups | |
---|---|---|---|---|---|---|
FOBT in the past 2 years | 215 (44) | 45 (30) | 38 (49) | 47 (45) | 85 (54) | <0.001 |
Colonoscopy in the last 10 years | 212 (44) | 93 (62) | 43 (58) | 46 (44) | 30 (20) | <0.001 |
Either FOBT (2 y) or colonoscopy(10 y) screening | 377 (77) | 121 (79) | 64 (83) | 79 (75) | 113 (72) | 0.227 |
Ever had any colon cancer screening | 419 (85) | 132 (86) | 67 (87) | 85 (81) | 135 (86) | 0.590 |
Ever received physician recommendation for FOBT | 347 (74) | 101 (69) | 51 (68) | 67 (70) | 128 (84) | 0.0084 |
Ever received physician recommendation for colonoscopy | 326 (67) | 122 (80) | 59 (79) | 63 (62) | 82 (53) | <.0001 |
Ever received physician recommendation for any colorectal cancer screening | 425 (86) | 139 (91) | 69 (90) | 80 (76) | 137 (87) | 0.005 |
Perceived importance: Important to continue to get yearly FOBTs for the rest of their lives? | 388 (80) | 92 (62) | 62 (82) | 97 (92) | 137 (88) | <.0001 |
Important to continue getting colonoscopies for the rest of their lives? | 369 (76) | 110 (72) | 61 (80) | 90 (86) | 108 (70) | <.0001 |
Important to continue getting colonoscopies or FOBTs for the rest of their lives? | 442 (90) | 128 (84) | 71 (92) | 100 (95) | 143 (91) | 0.015 |
FOBT fecal occult blood test
Willingness to Have CRC Screening Tests for Individual and Public Health Benefit
Most respondents (>70 %) expressed willingness to undergo or continue screening for CRC with either FOBT or colonoscopy by the demographic factors. Latinas were the most likely to respond yes (87 % to 96 %), while Asian women (31 %) and persons with less than high school education (47 %) were less enthused about obtaining colonoscopy. The multivariate predictors of willingness and intention to receive CRC screening in general are shown in Table 3. Latinas (OR = 3.92; 95 % CI = 1.50, 10.22) compared to Whites and individuals who had a higher than average perceived risk for CRC (OR = 5.70; 95 % CI = 2.60, 12.46) compared to those with a lower than average perceived risk would be more likely to get colonoscopy after learning benefits and risks. Asians stated that they would be less likely to have a colonoscopy after learning the risks and benefits of the procedure, when compared with Whites (OR = 0.28; 95 % CI = 0.12, 0.64). Those who perceived their health status as very good or excellent were less likely to plan to continue to get FOBT regularly, compared with those of a poor to fair self-perceived health status (OR = 0.40; 95 % CI = 0.17, 0.94). Finally, those who scored intermediate on the numeracy scale would be less likely to get colonoscopy than those who scored low on the scale (OR = 0.42; 95 % CI = 0.21, 0.83).
Table 3.
Likely to get colonoscopy after learning benefits/risks | Intention to get FOBT regularly for the rest of their lives | Intention to get colonoscopies regularly for the rest of their lives | Intention to get FOBT or colonoscopy for the rest of their lives | |
---|---|---|---|---|
Race/Ethnicity | ||||
White | ref | ref | ref | ref |
African-American | 1.22 (0.53, 2.79) | 1.63 (0.66, 4.00) | 1.26 (0.54, 2.92) | 2.08 (0.58,7.41) |
Latino | 3.92 (1.50, 10.22) | 6.14 (1.77, 21.34) | 4.47 (1.66, 12.04) | 3.20 (0.80,12.76) |
Asian | 0.28 (0.12, 0.64) | 1.78 (0.64, 4.95) | 0.66 (0.28, 1.53) | 0.73 (0.22,2.41) |
Education | ||||
Less than high school | 0.91 (0.36, 2.30) | 3.44 (1.04, 11.38) | 0.72 (0.28, 1.82) | 3.16 (0.83, 12.04) |
High school/Some college | 1.47 (0.73, 2.99) | 1.16 (0.54, 2.49) | 1.16 (0.56, 2.37) | 1.25 (0.46, 3.40) |
More than college | ref | ref | ref | ref |
Income | ||||
$20,000 or less | 0.72 (0.30, 1.73) | 0.35 (0.12, 0.98) | 0.48 (0.20, 1.16) | 0.67 (0.19,2.45) |
$20,001–50,000 | 0.78 (0.34, 1.75) | 0.72 (0.28, 1.90) | 0.58 (0.26, 1.31) | 0.99 (0.27,3.57) |
$50,000 or more | ref | ref | ref | ref |
Marital Status | ||||
Never Married | 0.47 (0.21, 1.06) | 0.55 (0.23, 1.34) | 0.52 (0.23, 1.18) | 0.47 (0.15,1.44) |
Married/partner | ref | ref | ref | ref |
Formerly Married | 0.54 (0.29, 0.98) | 0.99 (0.47, 2.08) | 0.84 (0.47, 1.53) | 0.93 (0.38,2.25) |
Health status | ||||
Poor/Fair | ref | ref | ref | ref |
Good | 0.54 (0.29, 1.01) | 1.18 (0.52, 2.68) | 0.58 (0.32, 1.05) | 1.48 (0.54,4.04) |
Very good/Excellent | 0.82 (0.38, 1.75) | 0.40 (0.17, 0.94) | 0.76 (0.36, 1.62) | 0.50 (0.18,1.39) |
Numeracy | ||||
0–2 | ref | ref | ref | ref |
3–5 | 0.42 (0.21, 0.83) | 0.79 (0.32, 1.97) | 0.74 (0.39, 1.42) | 1.11 (0.44,2.78) |
6–8 | 0.87 (0.40, 1.90) | 0.68 (0.25, 1.84) | 0.71 (0.38, 1.50) | 2.24 (0.67, 7.56) |
Perceived higher than average risk for getting colorectal cancer? | ||||
Yes | 5.70 (2.60, 12.46) | 0.66 (0.33, 1.34) | 3.58 (1.67, 7.71) | 1.65 (0.59,4.59) |
No | ref | ref | ref | ref |
FOBT fecal occult blood test
Multivariate logistic regression models also included the following variables that were not statistically significantly associated with the outcomes: age, insurance status, employment, personal history of cancer, family history of cancer, summary knowledge score
Although a majority of women (>60 %) were willing to be screened for CRC to benefit the public, the proportions were somewhat lower compared to those for individual benefit. Table 4 shows the proportions and multivariate predictors for willingness and intention to receive CRC screening for public health benefit. In multivariate analyses, race/ethnicity was not a significant predictor of willingness and intention to be screened for public health benefit. Self-perceived higher than average risk for getting CRC was a significant predictor of willingness to take part in CRC screening program because there would be fewer cases in California (OR = 2.32; 95 % CI = 1.32, 4.11). Individuals with a family history of cancer were less likely to be screened for CRC because there would be fewer cases of colorectal cancer in California (OR = 0.62; 95 % CI = 0.39, 0.98), but would be more likely to take part in a CRC screening program because it might prevent them from getting colorectal cancer (OR = 1.93; 95 % CI = 1.09, 3.42).
Table 4.
Willingness to take part in colorectal cancer prevention program because there would be fewer cases of colorectal cancer in California | Intention to take part in a colorectal cancer prevention program because it might prevent them from getting colorectal cancer | Encouraging other women to get screened for colorectal cancer because a woman’s life might be saved | |
---|---|---|---|
Race/Ethnicity | |||
White | ref | ref | ref |
African-American | 0.97 (0.46, 2.04) | 2.47 (0.90, 6.76) | 3.54 (0.62, 20.32) |
Latino | 0.79 (0.37, 1.68) | 2.51 (0.94, 6.70) | 1.26 (0.32, 4.90) |
Asian | 0.64 (0.30, 1.35) | 0.63 (0.26, 1.53) | 0.59 (0.16, 2.18) |
Insurance | |||
Private | ref | ref | ref |
Public | 0.72 (0.38,1.37) | 0.83 (0.39, 1.76) | 0.79 (0.29, 2.15) |
No insurance | 0.62 (0.31, 1.25) | 0.61 (0.28, 1.35) | 0.32 (0.13, 0.83) |
Family history of cancer | |||
Yes | 0.62 (0.39, 0.98) | 1.93 (1.09, 3.42) | 1.34 (0.65, 2.77) |
No | ref | ref | ref |
Perceived higher than average risk for getting colorectal cancer? | |||
Yes | 2.32 (1.32, 4.11) | 2.25 (1.05, 4.80) | 2.36 (0.86, 6.49) |
No | ref | ref | ref |
Multivariate logistic regression models also included the following variables that were not statistically significantly associated with the outcomes: age, education, income, marital status, insurance, employment, personal history of cancer, summary knowledge score, health status and numeracy
DISCUSSION
This study found that given similar scenarios and information, women from different race/ethnic groups reported different willingness and intention to be screened for CRC. Compared to Whites, Latina women were most likely to be willing to and intend to be screened while Asian women were the least likely. Self-perceived risk of CRC was also a significant factor associated with willingness and intent to obtain colonoscopy. These data contribute to the limited literature available about factors that predict willingness to undergo CRC screening in diverse women, and help define potential differences by race/ethnicity that can help inform clinical communication and patient education materials. Since racial/ethnic disparities in CRC screening rates persist 1, it is imperative to understand the factors that contribute to these.
Previous studies have shown that personal risk perception is an important factor in motivating individuals to obtain cancer screening, although the optimal measure of risk perception is not clear.5,19 In a recent study of risk perception and colorectal cancer screening with 1,628 persons (51 % women, 75 % White), participants read messages about the importance of screening to reduce the risk of cancer. Perceived risk was evaluated with four measures: absolute numerical scale, absolute verbal scale, a comparative measure and a “feelings-of-risk” measure. In that analysis, absolute verbal risk perception and “feeling-of-risk” were significant predictors of intent to get a test in the next year, but the absolute numerical risk and comparative measures were not.19 In our study, we found that the comparative measure of “higher than average” risk was a significant predictor of intent to receive screening for personal benefit, but we did not ask about “feelings-of-risk”. Risk perception is different than actual risk; thus, a person who perceives herself to be at increased risk may or may not actually be at increased risk. We had previously shown that perceived risk was significantly associated with higher use of CRC screening tests,5 but these women uniformly overestimated their numerical risk of CRC compared to population rates. Because of the importance of risk perception as a motivator of behavior, future research should address whether targeting perceived risk may result in changes in CRC screening behavior and clarify the use of different measures to assess perceived risk in diverse populations.
Self-perceived risk of colorectal cancer has previously been shown to be associated with adherence to CRC screening recommendations.2,4 In a survey study of 492 Delaware women (84 % White), perceived risk of CRC and belief in screening guidelines were significantly associated with reporting CRC screening.4 In a primary care clinic setting in Galveston, 562 Latina, White and African American women were studied and perceived susceptibility (OR 1.74) and greater education (OR = 2.02) were associated with CRC screening differences.2 However, our study expands these findings by showing that they also apply to Asian women, and also shows that perceived risk is not only a predictor of past screening behavior, but is also a predictor of intention to continue CRC screening, and of intention to undergo CRC screening for public health benefit.
This study is one of the first to evaluate whether patients can be motivated to undergo a screening test for public health benefit. Most participants responded that they would be willing to take part in a CRC screening program and take the risk of a serious complication because there would be fewer cases of cancer in California. Participants were also willing to encourage other women to get screened for colorectal cancer because a woman’s life might be saved. This finding is reassuring that commitment to the public’s health may be a strong motivating factor for individuals to obtain screening tests. Perceived risk was also a predictor of willingness and intent to receive screening for public health benefit. Interestingly, individuals with a family history of cancer stated that they would be less likely to be screened for public health benefit, although they would be more likely to be screened for individual benefit.
Although many interventions focus on increasing colorectal cancer screening knowledge, knowledge alone does not appear to be sufficient to motivate individuals to be willing to be screened, as shown in other studies4,20 and confirmed by these results. Future efforts to increase rates of colorectal cancer screening should focus not only on increasing patient and clinician knowledge, particularly with Asian women, but must also target other factors such as risk perception and overcoming system barriers to screening.1,21
We intentionally conducted this study in a diverse population of women, both to ensure that we had a diverse, multi-ethnic sample and also to enable comparisons between ethnic groups. In this study, Latinas said that they would be more likely to get colonoscopy after hearing the risks and benefits, and were more likely to intend to get FOBT and colonoscopies regularly for the rest of their lives. Although Asians said that they would be less likely to get colonoscopy after learning the benefits and risks, Asian race/ethnicity was not a predictor of any other outcomes. There were no race/ethnic differences in any of the outcomes related to willingness to receive CRC screening for public health benefit. The importance of evaluating diverse race/ethnic samples in this area of research was highlighted by a study that compared adherence to screening according to which strategy was recommended (FOBT or colonoscopy).22 In that study, conducted in San Francisco, Latinos and Asians were more likely to complete some form of screening compared to African Americans, and the three minority groups adhered more often to FOBT while Whites adhered more often to colonoscopy.22
In a recent study on Latino perceptions about CRC screening, after participants heard about the descriptions of the screening tests, they perceived stool cards as easier, safer, less painful and less embarrassing than colonoscopy.23 However, in our study, Latinas were significantly more likely both to intend to receive colonoscopy after hearing the risks and benefits, and to plan regular screening for the rest of their lives. However, Asians stated that they would be less likely than Whites to obtain colonoscopy after hearing the risks and benefits. While we do not know the reasons for these differences, these race/ethnic differences may be partly due to the difference in risk perception between these groups,5 and being Latino or Asian was also an independent predictor of willingness and intention to undergo CRC screening.
There are several limitations to our study. First, we asked about intentions and willingness to be screened, rather than measure future screening behavior in a longitudinal study. However, intention to be screened has previously been shown to be a predictor of CRC screening behavior.24–26 We asked about prior screening behavior in the initial screening and 77 % had up to date CRC screening, but we were not able to measure whether or not women subsequently acted on their intentions and willingness to be screened. Second, because this survey was conducted before the guidelines that recommend stopping routine CRC screening after age 75 and stopping screening entirely after age 85,27 we asked women whether or not they would be willing to continue CRC screening for the “rest of their lives”. However, our goal was not to address the complex question of when to stop screening but to obtain a measure of commitment to the regular interval screening behavior. Third, these interviews were conducted 7–9 years ago, but the clinical issue of understanding factors affecting CRC screening has not changed. Fourth, the majority of participants had previously been screened, but we do ask about intention to continue screening, which is of particular relevance in a screened population. Fourth, since the only Asian survey languages were Cantonese and Mandarin, we cannot generalize the results to other Asian populations. Finally this study was conducted in a primary care clinic population and not in the general population; however, since CRC screening has to be initiated by the physician, this is the setting to best learn about CRC screening behavior.
In conclusion, the majority of women are willing to undergo screening for personal benefit, although there are some differences between race/ethnic groups. The majority of women were also willing to undergo screening to achieve a public health benefit of fewer CRC deaths. Since self-perceived risk appears to be the most consistent predictor of willingness to undergo screening, future research should address the extent to which targeting perceived risk can impact receipt of colorectal cancer screening for either individual or public health benefit.
Acknowledgements
This study was supported by the Agency for Healthcare Research and Quality (5P01 HS10856) for an Excellence Center to Eliminate Ethnic/Racial Disparities (EXCEED); by Grant P30-AG15272 under the Resource Centers for Minority Aging Research program by the National Institute on Aging, National Institutes of Health; by Redes En Acción: The National Latino Cancer Network Grant U01-CA86117 from the National Cancer Institute, and by NIH/NCCR UCSF-CTSI Grant number UL 1 RR024131.
Conflict of Interest
The authors declare that they do not have a conflict of interest.
Contributor Information
Sue E. Kim, Email: sekim@cal.berkeley.edu.
Eliseo J. Pérez-Stable, Email: eliseops@medicine.ucsf.edu.
REFERENCES
- 1.Centers for Disease Control and Prevention, Cancer Screening - United States, 2010. MMWR. 2012;61(3):41–45.
- 2.Shokar NK, Carlson CA, Weller SC. Factors associated with racial/ethnic differences in colorectal cancer screening. J Am Board Fam Med. 2008;21(5):414–426. doi: 10.3122/jabfm.2008.05.070266. [DOI] [PubMed] [Google Scholar]
- 3.Walsh JM, Kaplan CP, Nguyen B, Gildengorin G, McPhee SJ, Pérez-Stable EJ. Barriers to colorectal cancer screening in Latino and Vietnamese Americans. Compared with non-Latino white Americans. J Gen Intern Med. 2004;19(2):156–166. doi: 10.1111/j.1525-1497.2004.30263.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Weinberg DS, Turner BJ, Wang H, Myers RE, Miller S. A survey of women regarding factors affecting colorectal cancer screening compliance. Prev Med. 2004;38(6):669–675. doi: 10.1016/j.ypmed.2004.02.015. [DOI] [PubMed] [Google Scholar]
- 5.Kim SE, Pérez-Stable EJ, Wong S, et al. Association between cancer risk perception and screening behavior among diverse women. Arch Intern Med. 2008;168(7):728–734. doi: 10.1001/archinte.168.7.728. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Huang AJ, Pérez-Stable EJ, Kim SE, et al. Preferences for human papillomavirus testing with routine cervical cancer screening in diverse older women. J Gen Intern Med. 2008;23(9):1324–1329. doi: 10.1007/s11606-008-0633-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Sawaya GF, Iwaoka-Scott AY, Kim S, et al. Ending cervical cancer screening: attitudes and beliefs from ethnically diverse older women. Am J Obstet Gynecol. 2009;200(1):40. doi: 10.1016/j.ajog.2008.07.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Kaplan C, Kim S, Wong S, Walsh J, Pérez-Stable EJ. Willingness to Use Tamoxifen to Prevent Breast Cancer among Diverse Women. Breast Cancer Res Treat. 2012;133(1):357–366. doi: 10.1007/s10549-012-1960-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Wong ST, Pérez-Stable EJ, Kim SE, et al. Using visual displays to communicate risk of cancer to women from diverse race/ethnic backgrounds. Patient Educ Couns. 2012;87(3):327–335. doi: 10.1016/j.pec.2011.11.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Denberg TD, Wong S, Beattie A. Women’s misconceptions about cancer screening: implications for informed decision-making. Patient Educ Couns. 2005;57(3):280–285. doi: 10.1016/j.pec.2004.07.015. [DOI] [PubMed] [Google Scholar]
- 11.Harris-Kojetin LD, Fowler FJ, Jr, Brown JA, Schnaier JA, Sweeny SF. The use of cognitive testing to develop and evaluate CAHPS 1.0 core survey items. Consumer Assessment of Health Plans Study. Med Care. 1999;37(3):MS10-21. doi: 10.1097/00005650-199903001-00002. [DOI] [PubMed] [Google Scholar]
- 12.Ware J, Kosinski M, Turner-Bowker D, Gandek B. How to score version 2 of the SF-12 Health Survey (With a Supplement Documenting Version 1) Lincoln, RI: QualityMetric Inc; 2002. [Google Scholar]
- 13.Lipkus IM. Numeric, verbal, and visual formats of conveying health risks: suggested best practices and future recommendations. Med Decis Making. 2007;27(5):696–713. doi: 10.1177/0272989X07307271. [DOI] [PubMed] [Google Scholar]
- 14.Lipkus IM, Hollands JG. The visual communication of risk. J Natl Cancer Inst Monogr. 1999;25:149–163. doi: 10.1093/oxfordjournals.jncimonographs.a024191. [DOI] [PubMed] [Google Scholar]
- 15.Weinstein ND. What does it mean to understand a risk? Evaluating risk comprehension. J Natl Cancer Inst Monogr. 1999;25:15–20. doi: 10.1093/oxfordjournals.jncimonographs.a024192. [DOI] [PubMed] [Google Scholar]
- 16.American Cancer Society. Cancer Prevention & Early Detection Facts and Figures. 2011; http://www.cancer.org/acs/groups/content/@epidemiologysurveilance/documents/document/acspc-029459.pdf. (Accessed August, 2012).
- 17.Whitlock EP, Lin JS, Liles E, Beil TL, Fu R. Screening for colorectal cancer: a targeted, updated systematic review for the U.S. Preventive Services Task Force. Ann Intern Med. 2008;149(9):638–658. doi: 10.7326/0003-4819-149-9-200811040-00245. [DOI] [PubMed] [Google Scholar]
- 18.Stata Statistical Software [computer program]. Version 9. College Station, TX2005.
- 19.Dillard AJ, Ferrer RA, Ubel PA, Fagerlin A. Risk perception measures’ associations with behavior intentions, affect, and cognition following colon cancer screening messages. Health Psychol. 2012;31(1):106–113. doi: 10.1037/a0024787. [DOI] [PubMed] [Google Scholar]
- 20.McCarthy BD, Moskowitz MA. Screening flexible sigmoidoscopy: patient attitudes and compliance. J Gen Intern Med. 1993;8(3):120–125. doi: 10.1007/BF02599753. [DOI] [PubMed] [Google Scholar]
- 21.Walsh JM, Salazar R, Nguyen TT, et al. Healthy colon, healthy life: a novel colorectal cancer screening intervention. Am J Prev Med. 2010;39(1):1–14. doi: 10.1016/j.amepre.2010.02.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Inadomi JM, Vijan S, Janz NK, et al. Adherence to colorectal cancer screening: A randomized trial of competing strategies. Arch Intern Med. 2012;172:575–582. doi: 10.1001/archinternmed.2012.332. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Cameron KA, Francis L, Wolf MS, Baker DW, Makoul G. Investigating Hispanic/Latino perceptions about colorectal cancer screening: a community-based approach to effective message design. Patient Educ Couns. 2007;68(2):145–152. doi: 10.1016/j.pec.2007.04.004. [DOI] [PubMed] [Google Scholar]
- 24.Myers RE, Trock BJ, Lerman C, Wolf T, Ross E, Engstrom PF. Adherence to colorectal cancer screening in an HMO population. Preventive medicine. 1990;19(5):502–514. doi: 10.1016/0091-7435(90)90049-P. [DOI] [PubMed] [Google Scholar]
- 25.Myers RE, Balshem AM, Wolf TA, Ross EA, Millner L. Adherence to continuous screening for colorectal neoplasia. Med Care. 1993;31(6):508–519. doi: 10.1097/00005650-199306000-00004. [DOI] [PubMed] [Google Scholar]
- 26.Sutton S, Wardle J, Taylor T, et al. Predictors of attendance in the United Kingdom flexible sigmoidoscopy screening trial. J Med Screen. 2000;7(2):99–104. doi: 10.1136/jms.7.2.99. [DOI] [PubMed] [Google Scholar]
- 27.USPSTF Screening for colorectal cancer: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med. 2008;149(9):627–637. doi: 10.7326/0003-4819-149-9-200811040-00243. [DOI] [PubMed] [Google Scholar]