Colorectal cancer screening rates have increased significantly in Kentucky, from 35% in 1999 to 66% in 2012. A continued improvement in screening requires identification of existing barriers and implementation of interventions to address barriers.
The state of Kentucky added a question to the 2012 Kentucky Behavioral Risk Factor Surveillance System survey for respondents aged 50 years or older who answered no to ever having been screened for colorectal cancer by colonoscopy or sigmoidoscopy to assess the reasons why respondents had not been screened. Combined responses constituted 4 categories: attitudes and beliefs, health care provider and health care systems barriers, cost, and other. Prevalence estimates for barriers were calculated by using raking weights and were stratified by race/ethnicity, sex, education, income, and health insurance coverage. Logistic regression estimated odds ratios for barriers to screening.
The most common barriers in all areas were related to attitudes and beliefs, followed by health care provider and systems, and cost. Non-Hispanic whites and respondents with more than a high school education were more likely to choose attitudes and beliefs as a barrier than were non-Hispanic blacks and those with less than a high school education. Respondents with low incomes and with no insurance were significantly more likely to select cost as a barrier. No significant associations were observed between demographic variables and the selection of a health care provider and a health care system.
Barriers related to education, race/ethnicity, income, and insurance coverage should be considered when designing interventions. Expansion of Medicaid and implementation of the Affordable Care Act in Kentucky could have an impact on reducing these barriers.
For more than 10 years, local and statewide public health efforts in Kentucky focused on reducing barriers to colorectal cancer screening. Since 2001, the state has seen a 22% decline in both colorectal cancer incidence and mortality (
Despite having effective CRC screening methods available, some subpopulations have not received any type of screening. One study examining Behavioral Risk Factor Surveillance System (BRFSS) 2010 data found that the respondents most likely never to have never been screened are younger (50–59 y), male, and non-Hispanic Asian/Native Hawaiian/Pacific Islander (
Kentucky’s screening disparities were similar to those of the United States overall. The most notable Kentucky-specific disparity in CRC screening was related to educational status, and the size of the disparity has increased since 1999 (
Barriers to CRC screening are complex, intertwined, and related to knowledge, motivation, and ability (
Knowing one’s risk profile based on family history and susceptibility for disease facilitates health behavior (
Although progress has been made in the past decade to increase CRC screening rates in Kentucky, certain population groups have not benefitted from early detection. To increase CRC screening in Kentucky among disparate populations, specifically those with low educational attainment, it is necessary to understand barriers to screening. This study aimed to gather population-level data on the individual-, social-, environmental-, and systems-level barriers specific to Kentuckians that prevent them from obtaining CRC screening. Our objective was to provide information for state, regional, and local-level partners throughout Kentucky and in states with similar populations that can be used to develop and implement effective strategies to reduce these barriers and increase CRC screening rates.
The KyBRFSS is a statewide telephone health survey jointly sponsored by the Centers for Disease Control and Prevention (CDC) and the Kentucky Department for Public Health (KDPH), conducted annually since 1985. KyBRFSS data contribute to CDC’s Behavioral Risk Factor Surveillance System (BRFSS), and similar surveys are conducted in every state, the District of Columbia, and in several US territories. Randomly selected, noninstitutionalized adults who live in a household with a telephone are candidates for the survey. Participation in the survey is strictly voluntary. Personal identifying information, such as a person’s name or address, is not collected.
A Kentucky-added CRC screening question related to barriers was added to the 2008 and 2012 KyBRFSS for respondents aged 50 years or older who answered no to ever having been screened by sigmoidoscopy or colonoscopy (n = 2,263). In 2012, 19 potential responses to this added question were grouped into 4 categories of barriers: 1) attitudes and beliefs, 2) health care provider and health care systems barriers, 3) cost, and 4) other (
Nineteen reasons cited by respondents aged 50 years or older who answered no to question assessing barriers to colorectal cancer screening: “Have you ever been screened for colorectal cancer by sigmoidoscopy or colonoscopy,” in the 2012 Kentucky Behavioral Risk Factor Surveillance System Survey.
Paradigm used to identify Kentuckians aged 50 years or older never screened for colorectal cancer via colonoscopy or sigmoidoscopy, from survey question about barriers to colorectal cancer screening in 2012 Kentucky Behavioral Risk Factor Surveillance System.
In 2011, the BRFSS, in collaboration with CDC and the Commonwealth of Kentucky, instituted a change in BRFSS methods (
For 2012 data, calculated prevalence estimates for barriers used raking weights were stratified by the following parameters: race/ethnicity, sex, education, income, and health insurance coverage. Logistic regression was used to estimate odds ratios (ORs) for barriers to screening. All statistical analyses were conducted with SAS version 9.3 (SAS Institute Inc).
The greatest disparities for never having a sigmoidoscopy or colonoscopy were educational status (those with less than a high school education), race/ethnicity (non-Hispanic black), income (<$25,000/y), sex (male), health insurance status (not having any) (
| Characteristic | Yes | No |
|---|---|---|
|
% (95% Confidence Interval) | ||
|
| 65.9 (64.2–67.6) | 34.1 (32.4–35.8) |
|
| ||
| Male | 63.3 (60.4–66.2) | 36.7 (33.8–39.6) |
| Female | 68.2 (66.1–70.2) | 31.8 (29.8–33.9) |
|
| ||
| Non-Hispanic white | 66.4 (64.6–68.2) | 33.6 (31.8–35.4) |
| Non-Hispanic black | 63.4 (55.2–71.6) | 36.6 (28.4–44.8) |
|
| ||
| <High school | 55.2 (50.4–60.0) | 44.8 (40.0–49.6) |
| ≥High school | 68.8 (67.0–70.6) | 31.2 (29.4–33.0) |
|
| ||
| ≤24,999 | 58.6 (55.4–61.8) | 41.4 (38.2–44.6) |
| 25,000–49,999 | 69.6 (66.1–73.0) | 30.4 (27.0–33.9) |
| ≥50,000 | 70.1 (67.0–73.2) | 29.9 (26.8–33.0) |
|
| ||
| Yes | 69.5 (67.8–71.2) | 30.5 (28.8–32.2) |
| No | 30.0 (24.2–35.8) | 70.0 (64.2–75.8) |
| Characteristic | Attitudes and Beliefs | Health Care Provider and Health Care Systems Barriers | Cost | Other Barriers |
|---|---|---|---|---|
|
% (95% Confidence Interval) | ||||
|
| 62.4 (59.2–65.5) | 15.9 (13.5–18.2) | 11.7 (9.5–13.9) | 10.0 (8.1–12.0) |
|
| ||||
| Male | 60.7 (55.6–65.7) | 15.6 (11.8–19.3) | 13.8 (9.8–17.8) | 10.0 (6.9–13.0) |
| Female | 64.0 (60.3–67.7) | 16.2 (13.4–19.0) | 9.7 (7.6–11.7) | 10.1 (7.6–12.7) |
|
| ||||
| Non-Hispanic white | 64.5 (61.3–67.7) | 14.9 (12.7–17.1) | 10.9 (8.6–13.2) | 9.6 (7.6–11.6) |
| Non-Hispanic black | 44.3 (31.1–57.5) | 15.9 (6.0–25.7) | 21.2 (8.2–34.1) | 18.6 (6.3–31.0) |
|
| ||||
| <High school | 53.4 (46.1–60.8) | 16.5 (10.8–22.1) | 15.4 (9.5–21.2) | 14.7 (9.6–19.9) |
| ≥High school | 65.9 (62.6–69.1) | 15.4 (13.1–17.8) | 10.4 (8.2–12.6) | 8.3 (6.4–10.2) |
|
| ||||
| ≤24,999 | 55.9 (50.8–60.9) | 16.7 (13.0–20.5) | 16.9 (13.1–20.6) | 10.5 (7.4–13.7) |
| 25,000–49,999 | 62.0 (55.0–68.9) | 17.6 (12.9–22.2) | 14.5 (8.1–20.9) | 5.9 (2.9–9.0) |
| ≥50,000 | 69.5 (63.7–75.4) | 15.5 (10.3–20.6) | 4.7 (2.0–7.5) | 10.3 (6.7–13.9) |
|
| ||||
| Yes | 66.8 (63.5–70.1) | 16.6 (14.0–19.3) | 5.0 (3.6–6.5) | 11.5 (9.2–13.9) |
| No | 43.0 (34.9–51.1) | 12.5 (7.7–17.3) | 40.8 (32.5–49.1) | 3.7 (1.3–6.0) |
Respondents with more than a high school education were more likely to identify attitude and beliefs as a barrier than those with less than a high school education. Non-Hispanic black respondents were 44% less likely to choose attitudes and beliefs as a barrier than white respondents. Respondents with low income were also significantly less likely to select attitude and beliefs than those with high income (
| Variable | Attitudes and Beliefs | Health Care Providers and Systems | Cost | Other Barriers |
|---|---|---|---|---|
|
Odds Ratio (95% Confidence Interval) [ | ||||
|
| ||||
| Male | 1 [Reference] | |||
| Female | 1.15 (0.89–1.50) [.29] | 1.05 (0.74–1.48) [.80] | 0.67 (0.45–1.01) [.05] | 1.02 (0.66–1.57) [.93] |
|
| ||||
| Non-Hispanic white | 1 [Reference] | |||
| Non-Hispanic black | 0.44 (0.25–0.76) [.003] | 1.08 (0.51–2.30) [.85] | 2.19 (0.98–4.91) [.06] | 2.19 (0.98–4.91) [.08] |
|
| ||||
| <High School | 1 [Reference] | |||
| ≥High School | 1.68 (1.21–2.33) [.002] | 0.93 (0.59–1.45) [.74] | 0.64 (0.39–1.06) [.08] | 0.52 (0.33–0.84) [.008] |
|
| ||||
| ≤24,999 | 0.56 (0.39–0.79) [<.001] | 1.10 (0.68–1.76) [.70] | 4.07 (2.09–7.92) [<.001] | 1.03 (0.62–1.71) [.91] |
| 25,000–49,999 | 0.72 (0.48–1.07) [.10] | 1.16 (0.70–1.93) [.55] | 3.41 (1.54–7.57 [.003] | 0.55 (0.28–1.07) [.08] |
| ≥50,000 | 1 [Reference] | |||
|
| ||||
| Yes | 1 [Reference] | |||
| No | 0.38 (0.26–0.54) [<.001] | 0.72 (0.45–1.15) [.17] | 13.0 (8.25–20.48) [<.001] | 0.29 (0.15–0.59) [<.001] |
Barriers to screening vary significantly on the basis of educational status, race/ethnicity, income, and insurance status and, if addressed, could increase screening. Barriers related to attitude and beliefs were more prevalent among white adults, adults with more than a high school education, and those with annual incomes of $50,000 or more. Cost barriers were more prevalent among black adults, adults with lower education, and those with lower levels of income. To increase CRC screening, interventions should focus on removing the most common barriers for each population group discussed. Regardless of the type of barrier, the most important consideration is that the barriers are removed. Once the specific barriers to screening for each population are removed, screening rates should become the same for all populations. This should then decrease disparities in CRC screening.
This study had limitations. The 2012 KyBRFSS did not gather information about barriers to blood-stool testing (fecal occult blood test [FOBT] and fecal immunochemical test [FIT]), which is known to be effective (
Addressing the complex barriers that prevent people from obtaining CRC screening requires an ecological approach with interventions targeted at individual, interpersonal, relational, institutional, systems, social, and policy levels (
Although some similarities appear across studies, barriers in this study are not homogenous across demographic groups or even types of CRC screening tests (
Many educational efforts in Kentucky have focused on addressing barriers related to attitudes and beliefs. Our study results indicate that this approach may reach only the white population with annual incomes above $25,000 and a high school education or more. To address screening among blacks, people with less than a high school education, and people with income below $25,000 a year, cost barriers must also be addressed.
This study’s findings support the need to address cost as a barrier to CRC screening, which is also related to insurance coverage. Among the white, educated (more than a high school education) population, 85.2% were insured. White respondents with less than a high school education had a 72.0% insured rate. Black, educated respondents had a 69.3% insured rate whereas black respondents with less than a high school education had a 74.8% insured rate. Most of the less educated (less than a high school education) white respondents (46.2%) lived in rural Kentucky, and most of the more highly educated white respondents (54.1%) lived in urban Kentucky. For blacks, both the more highly educated and less educated respondents lived primarily in urban Kentucky (74%). Geographic classifications were based on urban–rural continuum codes provided by the US Department of Agriculture (
Programs need to consider the target population and the most common barriers when developing and tailoring interventions to increase CRC screening. Interventions may be more effective when combining approaches to address multiple barriers, such as attitudes and beliefs, health care provider recommendations
The Kentucky Cancer Consortium (KCC) will continue to monitor the BRFSS to assess screening rates as efforts are focused on reducing barriers to CRC screening. Current efforts among the KCC member organizations include working with the American Cancer Society to determine how to incorporate new, market-tested messages that resonate with the insured and unwilling populations and working with the American Cancer Society, the Colon Cancer Prevention Project, the KDPH, the Kentucky Cancer Program (KCP), and the University of Kentucky Regional Extension Centers to work with federally qualified community health centers to reduce barriers and increase screening, particularly among blacks, urban residents, and rural whites, especially whites in Appalachian Kentucky. Kentucky is fortunate to have the KCP, a community-based comprehensive cancer program. Through KCP, district cancer councils are bringing together community organizations and partners to better understand what is needed to address barriers in local and regional areas and will implement local and regional approaches to increasing CRC screening, particularly among those with lower education levels. In addition, Kentucky has joined the national
Funding for the state-added question to KyBRFSS in 2012 was provided by a CDC Preventive Health and Health Services Block Grant.
The opinions expressed by authors contributing to this journal do not necessarily reflect the opinions of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions.