Abstract
Free full text
An Online Survey and Focus Groups for Promoting Cancer Prevention Measures
Abstract
Introduction:
In order to design a cancer prevention promotion program in the region, suggestions were solicited at a medical center. We hypothesized that a majority would be native to state, and would be able to articulate about the barriers that may exist.
Methods:
Through online survey and focus groups, suggestions were sought, and the knowledge and the compliance with cancer prevention recommendations were assessed to determine the participants’ qualifications as potential educators.
Results:
Sixty-five point two percent of participants (n=1,018) graduated from high school in Arkansas. The most commonly given suggestions were to provide education to increase awareness, to use social media for promotion, to improve access, and to reduce costs. Self-reported adherence rates to breast, cervical, and colorectal cancer screening were 82.6% (n=954), 75.8% (n=541), 76.7% (n=453), respectively. Having a personal history of cancer significantly increased colorectal cancer screening uptake (p=0.04), but paradoxically decreased mammography uptake (p=0.007). Salary of $40,000 and more and having a Bachelor’s degree or higher were associated with higher compliance of Papanicolaou test only (p=0.007 and p=0.001, respectively). A majority (67.7%, n=1,056) of respondents expressed willingness to contribute to promoting cancer prevention measures, and 38.3% (n=559) were willing to participate in focus groups. However, only 6.3% (n=35) actually participated.
Conclusions:
The most frequent suggestion for enhancing uptake of cancer prevention measures was providing education to promote awareness followed by using social media for promotion. The participants’ knowledge and compliance appeared to be sufficient, but their follow-through in focus group participation was poor.
INTRODUCTION
While cancer incidence in Arkansas is only slightly above that of the entire United States (US) (467.8/100,000 vs. 448/100,000 age-adjusted cases per year), a much higher cancer-associated mortality rate is a major public health issue (185.2/100,000 vs. 161/100,000) [1]. While there are many reasons for such disparity, contributing factors include the underutilization of recommended cancer prevention and early detection measures and a relatively higher tobacco smoking rate in Arkansas. In comparison to the national rates for human papillomavirus (HPV) vaccination, mammography, Papanicolaou (Pap) testing, and colorectal cancer (CRC) screening (53.2%, 72.5%, 71.9%, 67.7% respectively), those for Arkansas were lower (38.3%, 68%, 62.2%, 65.4%, respectively). On the other hand, the smoking rate was higher in Arkansas (22.3% vs. 17.1%) [1].
The University of Arkansas for Medical Sciences (UAMS) houses the state’s only allopathic academic medical center, and it offers a variety of cancer prevention programs for tobacco cessation, CRC screening [2], and breast cancer screening. To identify barriers from people who are likely to be knowledgeable and able to articulate specific examples preventing Arkansans from fulfilling recommended cancer prevention measures, an online survey and focus groups were conducted (1) to solicit suggestions for promoting cancer prevention measures, (2) to assess their awareness and compliance, and (3) to obtain feedback for a volunteer-based program called the Health Ambassador program.
METHODS
Participant Recruitment
Separate Institutional Review Board (IRB) approvals were obtained for the online survey and the focus groups. Participants were recruited through email invitations to employees and students in all UAMS campuses and by posting flyers. In addition to the link to the online survey, the solicitation email also included eligibility criteria and invitation to participate in focus groups. While the focus groups were conducted only at the Little Rock campus, participants from the satellite campuses were given an option to join the discussion via conference call. The eligibility criteria to participate in the online survey and/or focus groups were being a UAMS employee or a UAMS student, and being ≥18 years old. The initial email was sent on February 28th, 2018 with a reminder email sent every 2 weeks thereafter for the following 3 months.
Online Survey
A text version of the survey in its entirety is available in Supplementary Material 1A, which was available online using LimeSurvey, a free open-source software distributed under the GNU General Public License. Clicking on the link embedded in the email served as an informed consent and confirmation that the respondent is at least 18 years old. No incentives were offered to respond to the online survey to maintain anonymity. The link directed to the introduction page providing a brief comparison of Arkansas and US cancer statistics. The multiple-choice portion of the questionnaire consisted of subsections which inquired about (1) personal reactions to Arkansas cancer statistics, (2) sociodemographic information, (3) knowledge of and adherence to the recommended cancer prevention and early detection measures to gender and age-specific participants (i.e., females aged 21 to 65 for Pap testing, females 40 years and older for mammography, all genders aged 50 to 75 for CRC screening, etc.), and (4) one’s willingness to volunteer. The final section of the survey consisted of three questions for which free text answers were collected: (1) How can we promote cancer prevention and early detection measures in the Arkansas Delta region?; (2) What kind of new technologies could we incorporate to promote cancer prevention and early detection measures?; and (3) Do you have any other suggestions as to how to increase cancer prevention and early detection in Arkansas? Alternatively, the respondents could provide answers to these questions via email, via mail, or by participating in focus group sessions.
Focus Groups
Focus group participants were provided with an information sheet about the study (which served as informed consent), a printed description of a proposed program called the Health Ambassador program, and questions soliciting input about the program. (Supplementary Material 1B). The program proposed to provide education if friends and family members approached were not up to date with cancer prevention recommendations. Rewards were promised based on numbers of individuals approached and successfully navigated to fulfill cancer prevention measures. The program also proposed to refer them to Health Resource Navigators if they did not have primary care physicians. Research study staff members and trained UAMS employees or students could serve as Health Resources Navigators, and they were to be compensated $20 for each 2-hour shift. A one-time compensation of $20 was awarded. Two audio recording devices were used to record all focus group discussions, and the contents were transcribed. The directed content analysis [3] approach was utilized to extract keywords from the online survey free text responses and focus groups discussions; and responses were group into 4 broad categories.
Statistical Analysis
Responses from participants age of 18 years or older (n=1,561) were included for analysis. Some race/ethnicity categories were combined (see footnote to Tables 1) to make data comparable to those provided for all employees and students by human resources. Descriptive statistics were reported as frequency (percentage). Bivariate associations were assessed using either Chi-Square test or Fisher’s exact test (Table 2). The association between one’s willingness to participate in focus group and having had a history of cancer or having a family member with a history of cancer was examined unadjusted and adjusted for age, gender, and ethnicity using logistic regression. An exact binomial test of proportion was used to assess the differences between survey statistics and UAMS demographics. A two-sided p-value of 0.05 was used to determine statistical significance.
Table 1.
VARIABLE | EMPLOYEES | STUDENTS | ||||
---|---|---|---|---|---|---|
All N=11,660 | Respondents N=1,318 | P value | All N=2,759 | Respondents N=243 | P value | |
Gender | ||||||
Female | 8,327 (71.4%) | 1,024 (77.7%) | < 0.01 | 1,874 (67.9%) | 191 (78.6%) | < 0.01 |
Male | 3,333 (28.6%) | 293 (22.2%) | < 0.01 | 885 (32.1%) | 50 (20.6%) | < 0.01 |
Other | - | 1 (0.1%) | - | 2 (0.78%) | - | |
Race | ||||||
White | 7,396 (63.4%) | 1,008 (76.5%) | < 0.01 | 1,976 (71.6%) | 181 (74.5%) | 0.36 |
Black | 2,813 (24.1%) | 127 (9.6%) | < 0.01 | 228 (8.3%) | 21 (8.6%) | 0.82 |
Asian | 526 (4.5%) | 67 (5.1%) | 0.32 | 199 (7.2%) | 18 (7.4%) | 0.91 |
Hispanic | 270 (2.3%) | 38 (2.9%) | 0.19 | 109 (3.9%) | 11 (4.5%) | 0.62 |
American Indian/Alaskan Native | 58 (0.5%) | 5 (0.4%) | - | 19 (0.7%) | 0 (0%) | - |
Native Hawaiian/Other Pacific Islander | 27 (0.3%) | 5 (0.4%) | - | 3 (0.1%) | 0 (0%) | - |
Other | 470 (4.0%) | 68 (5.2%) | - | 225 (8.2%) | 12 (4.9%) | - |
Notes: For respondents, “White” represents Non-Hispanic White, “Black’ represents Non-Hispanic African-American, “Hispanic” represents Hispanic White, “Asian” represents Non-Hispanic Asian, “American Indian/Alaska Native” represents Non-Hispanic American Indian/Alaska Native, and “Other” represents Hispanic African-American, Hispanic Asian, Hispanic American Indian/Alaska Native, two or more races, unknown, and not disclosed.
An exact binomial test of proportion was used for comparing the observed respondent proportions against the proportions specified for UAMS students or employees. The p-values are not shown for “Other”, and categories with less than 10 counts.
Table 2.
Variable\Intervention | HPV Vaccination for Self | HPV Vaccination for Children | Mammography | Papanicolaou Test | Colorectal Cancer Screeningc | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Variable present or not | Yes | No | p | Yes | No | p | Yes | No | p | Yes | No | p | Yes | No | p |
Non-Hispanic White | 54.6% (24/44) | 56.5% (13/23) | 0.88 | 64.9% (107/165) | 64.2% (34/53) | 0.93 | 75.6% (434/574) | 76.4% (107/140) | 0.84 | 83.6% (747/894) | 79.3% (207/261) | 0.11 | 77.4% (379/490) | 73.3% (74/101) | 0.38 |
Graduated from high school in Arkansas | 50.9% (28/55) | 75% (9/12) | 0.20 | 65.8% (96/146) | 62.5% (45/72) | 0.64 | 76.7% (359/468) | 74% (182/246) | 0.42 | 82.8% (654/790) | 82.2% (300/365) | 0.80 | 75.3% (274/364) | 78.9% (179/227) | 0.32 |
Female | 56.5% (35/62) | 33.3% (1/3) | 0.58 | NA | NA | NA | NA | NA | NA | NA | NA | NA | 76.2% (353/463) | 78.1% (100/128) | 0.66 |
Personal History of Cancer | – | 55.2% (37/67) | – | 86.7% (13/15) | 63.1% (128/203) | 0.09 | 64.5% (60/93) | 77.5% (481/621) | 0.007 | 86.2% (81/94) | 82.3% (873/1061) | 0.34 | 84.8% (78/92) | 75.2% (375/499) | 0.04 |
Family history of cancer | 66.7% (2/3) | 47.6% (10/21) | 1.00 | 57.1% (16/28) | 66.7% (106/159) | 0.3 3 | 77.6% (76/98) | 72.8% (297/408) | 0.33 | 76.5% (88/115) | 84.3% (506/600) | 0.04 | 81.8% (72/88) | 75.1% (235/313) | 0.19 |
Ever use of tobacco productsa | 60% (9/15) | 53.9% (28/52) | 0.67 | 65.2% (43/66) | 64.5% (98/152) | 0.92 | 71.8% (145/202) | 77.3% (396/512) | 0.12 | 78.1% (232/297) | 84.2% (722/858) | 0.02 | 74.2% (141/190) | 77.8% (312/401) | 0.33 |
Living with family | 50% (12/24) | 58.1% (25/43) | 0.61 | 65.2% (122/187) | 61.3% (19/31) | 0.67 | 73.7% (373/506) | 80.8% (168/208) | 0.05 | 83.1% (594/715) | 81.8% (360/440) | 0.58 | 76.6% (307/401) | 76.8% (146/190) | 0.94 |
Good knowledge of cancer prevention recommendationsb | 56.9% (33/58) | 44.4% (4/9) | 0.50 | 65.6% (128/195) | 56.5% (13/23) | 0.39 | 75.6% (516/683) | 80.7% (25/31) | 0.52 | 83% (897/1081) | 77% (57/74) | 0.19 | 77.5% (440/568) | 56.5% (13/23) | 0.02 |
Salary > $40,000 | 33.3% (2/6) | 57.9% (11/19) | 0.38 | 68.1% (111/163) | 55.8% (24/43) | 0.13 | 75.1% (416/554) | 77.5% (100/129) | 0.56 | 84.2% (660/784) | 76.6% (180/235) | 0.007 | 76.9% (359/467) | 78.4% (76/97) | 0.75 |
Household income > $40,000 | 47.8% (11/23) | 47.4% (9/19) | 0.98 | 66% (128/194) | 50% (8/16) | 0.20 | 75.5% (472/625) | 83.3% (45/54) | 0.20 | 83.3% (769/923) | 77.4% (103/133) | 0.10 | 77.5% (404/521) | 80% (32/40) | 0.72 |
Educational attainment of ≥ Bachelor’s | 60.5% (26/43) | 45.8% (11/24) | 0.25 | 65.9% (114/173) | 60% (27/45) | 0.46 | 74.8% (398/532) | 78.6% (143/182) | 0.31 | 84.5% (762/902) | 75.9% (192/253) | 0.001 | 76.6% (334/436) | 76.8% (119/155) | 0.97 |
Notes: Boldface indicates statistical significance (p<0.05)
NA=not applicable
RESULTS
Most respondents were native Arkansans, as 65.2% (n=1,018) graduated high school in Arkansas. Free text suggestions for improving uptake of cancer prevention measures were solicited as a part of the online survey and the focus group sessions. The participants were asked how cancer prevention and early detection measures could be promoted in the Arkansas Delta region and what kind of new technologies should be incorporated. The answers provided were grouped in 4 broad categories: (1) to increase knowledge and awareness of cancers and cancer risk reduction screening measures (n=655), (2) use social media platforms to promote screening measures (n=263), (3) improve access to screening measures (n=150), and (4) reduce the cost of screening measures (n=122) (Figure 1). For increasing knowledge and awareness, participants advised engaging local organizations like churches, community centers, and schools to provide education about cancers and cancer screening methods, especially during local sporting events, health fairs, and community events (Supplementary Material 3). They also suggested posting educational content on various social media platforms. Additional input on strategies to improve screening uptake included utilization of telemedicine or mobile screening services to improve access, and to provide subsidies for screening tests for people of low socioeconomic status (SES).
Of the 11,660 UAMS employees and 2,759 UAMS students, 1,318 and 243 participated in the online survey, respectively, for a total of 1,561 survey respondents. The response rate was significantly higher for employees (11.3%) compared to that of students (8.8%, p=0.0002). Comparisons of the demographic characteristics of the UAMS population and the survey respondents (Table 1) showed significantly higher proportions of females and lower proportions of males for both employees and students (p<0.01 for 4 comparisons). For employees, there was a significantly higher rate of response from white respondents and lower rate for black respondents (p<0.01 for both). The survey respondents were almost evenly distributed across the age categories (Supplementary Material 2). Approximately 84.6% (n=1,321) had attained a Bachelor’s degree or higher. While the annual individual income most frequently reported was $40,000 to $70,000 (44.6%, n=628), the most frequently reported annual household income was $70,000 to $100,000 (24.2%, n=357). Questions regarding behavioral risk factors revealed that 71% (n=1,076) were tobacco nonusers, and 32.7% (n=495) consumed alcoholic beverages on a regular basis. The majority of alcohol consumers (52.9%, n=262) consumed between 2 – 5 drinks per week.
The willingness to participate in promotion of cancer prevention and early detection measures was high, as 67.7% (n=1,056) were willing to play a role in the promotion of cancer prevention and early detection measures in Arkansas (Supplementary Material 3). Further, 38.3% (n=559) expressed interest in participating in the focus groups, and 30.3% (n=442) expressed interest in participating in the “Health Ambassador” volunteer program.
The demographic characteristics and the responses to the questions regarding the Health Ambassador program and Heath Resources Navigator from 11 focus group discussions are displayed in Supplementary Material 4. Sixty percent (21 of 35) and 42.9% (15 of 35) were willing to participate as a Health Ambassador and a Health Resources Navigator, respectively.
DISCUSSION
As the only allopathic medical center which houses a medical school in the state of Arkansas, UAMS is also committed to addressing health inequities including those in cancer. Promotion of cancer prevention measures is one of our focus areas, as statistics demonstrate that underutilization of cancer prevention measures may be contributing to high cancer incidence, and more importantly, mortality in the state [1]. Being female and white were significantly associated with higher participation in the online survey (Table 1). This finding was not surprising, since a previous study of health-related behaviors has shown that females are more likely to attend educational sessions [4]. Likewise, lower participation in health-related research by members of racial and ethnic minorities is a well-known phenomenon, and has been demonstrated in a population-based study examining perception and participation in health-related research [5]. The low overall participation rate was consistent with other similar efforts on the UAMS campus that did not provide incentives (personal communication).
The most commonly received suggestions for promoting cancer prevention measures were to “educate and increase awareness” (Figure 1). In a recently published systematic review of community-based cancer prevention programs, education was found to be an important feature in most programs [6]. Educational contents such as tailored brochures [7]–[9] and/or audio-visual materials have been utilized [7], [10]. Furthermore, the effectiveness of in-person education on CRC knowledge for increasing inquiries to healthcare providers about screening was demonstrated [11]. The second most common suggestion we received was to use social media for promotion of cancer prevention measures (Figure 1). However, the use of social media has not always been shown to lead to success. In a study which used an advertising banner on Facebook to enroll subjects in a survey study about HPV and cervical cancer knowledge, only 243 of 3,312 (7.3%) people who visited the study homepage completed the survey [12]. Another program using Facebook to promote HPV vaccination was able to reach over 100,000 adolescents in the Philadelphia, PA, US area, but translated to only 2 adolescents receiving vaccination [13]. The remaining commonly received suggestions were to “improve access” and to “reduce screening cost” (Figure 1). The only program mentioned in the systematic review [6] which was able to reduce CRC cancer incidence and mortality at the population level provided access by performing the screening within the program and providing it for free for those without insurance [14] attesting to the importance of access and reduced cost.
The online survey results indicated that knowledge of and compliance to cancer prevention recommendations were good. Assessment of knowledge and compliance with the cancer screening measures revealed that 55.4% (n=36) of those who were within the targeted age range reported receiving at least one dose of HPV prophylactic vaccine, and 60.6% (n=132) reported vaccinating their age-eligible child/children with the vaccine (Supplmentary Mateiral 3). The most common reason given for not vaccinating one’s children was concern regarding vaccine safety (n=23), and the most common reason for not receiving the vaccine for oneself was parent/guardian objection (n=9) (data not shown in the tables). Questions about adherence to specific cancer screening recommendations showed fairly high compliance of 82.6% (n=954) for Pap testing, 75.8% (n=541) for mammography, and 76.7% (n=453) for CRC screening. Colonoscopy was the most frequently utilized screening test among those adherent with CRC screening (93.6%, n=424). UAMS employees are well-insured, as 96% of them are eligible for employer-sponsored health insurance, and 88% sign up according to information from human resources. Common reasons for not electing UAMS-provided health coverage are having coverage through spouse, or being eligible for Medicaid. All students are required to purchase insurance. Therefore, it is not surprising that the compliance rates for cancer screening were higher as compared to the reported rates in Arkansas [1]. A limitation of our approach was that the assessment of participation in cancer prevention measures was self-reported, and was not independently verified using medical records due to a need to preserve anonymity.
There were no significant associations between stated willingness to participate in focus groups with having a history of cancer (unadjusted p=0.97 and adjusted p=0.19) or having a family member with history of cancer (unadjusted p=0.31 and adjusted p=0.12) (data not shown in the tables). Some unexpected associations were uncovered between adherence to cancer prevention screening and various demographic/behavioral variables (Table 2). Having a personal history of cancer was significantly associated with increased CRC screening rate [84.8% (78 of 92) vs. 75.2% (375 of 499), p=0.04]. However, the opposite was true with mammography [64.5% (60 of 93) vs. 77.5% (481 of 621), p=0.007]. It is peculiar that a personal history of cancer was positively associated with CRC screening compliance, but negatively associated with mammography uptake. This may be because barriers for different screening methods are distinct. A decline in mammography uptake in cancer survivors, from 55% in first year of survivorship to 48% in the 5th year, has been reported previously [15]. Patients recently diagnosed with cancer visited oncology specialists more frequently than other physicians, which possibly leads to lower mammogram uptake in cancer survivors [16]. Why the opposite has been observed (i.e., higher uptake in cancer survivors) for CRC screening is not clear. Intriguingly, those who felt they had good knowledge of cancer prevention recommendations were more likely to be compliant with CRC screening (p=0.02), while no significant associations were found with other interventions. Having a salary of $40,000 or more and having a Bachelor’s degree or higher were significantly associated with higher compliance of Pap test only [84.2% (660 of 784) vs. 76.6% (180 of 235), p=0.007; 84.5% (762 of 902) vs. 75.9% (192 of 253), p=0.001], but not for mammography or CRC screening. Again, this may be because barriers are different.
Positive history of cancers in the family and of tobacco use were both negatively associated with Pap test uptake (p=0.04 and p=0.02, respectively). On the other hand, salary of $40,000 and greater and educational attainment of Bachelor’s and above were positively associated with Pap test uptake (p=0.007 and p=0.001, respectively). It is difficult to explain why family history of cancer is negatively associated, as the opposite has been reported by others [17], [18]. It is possible that in this population, time taken to care for sick family negatively impacts self-care. The negative association of tobacco use and Pap test uptake can be partially explained by findings that tobacco users may be less likely to adopt a healthier lifestyle [19]. Associations of Pap test uptake with income and education has been consistently documented in the past [20], and are easier to understand as compared to the negative association of Pap test uptake with tobacco use and with family history of cancer. It is well-established that lower SES is associated with lower cancer screening adoption rate [20]–[22]. Therefore, the reverse finding of increased uptake of Pap test among people with higher income and higher educational attainment was expected.
A majority of respondents expressed the desire to contribute to the cancer prevention initiative in the online survey, but only about a third expressed willingness to participate as a volunteer and only 35 respondents (6.3%) participated in the focus groups. Of the 35 focus group participants, almost 38% were either not sure or did not want to participate in the Health Ambassador program, and more than half were either not sure or not willing to contribute as a Health Resources Navigator. Because the Health Ambassador Program and Health Resources Navigator services would require a greater time commitment compared to focus group participation, it became clear that this approach is not likely to succeed.
CONCLUSION
Suggestions provided for designing an effective cancer prevention program included increasing awareness through education, improving access, and reducing screening costs; all of which have been previously shown to be important in successful cancer prevention programs. The use of social media was also suggested, but this appears to be more difficult to adapt in the context of promoting cancer prevention measures. The self-reported knowledge of and compliance with cancer prevention recommendations was good. In addition, we uncovered associations which suggested that barriers for obtaining screening for different cancer types may be quite distinct. As participation in the focus group was low despite initial stated willingness, the participants’ suitability as educators is questionable.
Supplementary Material
Accepted Supplement
Supplementary Material 1. Online survey and Health Ambassador program description and questionnaires.
Supplementary Material 2. Table summarizing age distribution, education, income, smoking/drinking habits of the survey respondents.
Supplementary Material 3. Table summarizing attitudes, knowledge, and practice of cancer prevention and early detection screening measures among the survey respondents.
Supplementary Material 4. Demographic characteristics of focus group participants and responses to the Health Ambassador program questionnaire.
Supplementary Material 5. Representative suggestions quoted from free text portion of the online survey and the focus groups for increasing the uptake of cancer prevention measures in Arkansas.
Acknowledgments:
The authors would like to thank Ronda Henry-Tillman, M.D., Michael Preston, Ph.D., Pebbles Fagan, Ph.D., Sharp Malak, M.D., and Jennifer Dillaha, M.D. for their advice in creating the online survey, Karen Yeary, Ph.D. for conducting the focus group, and Benjamin J. Lieblong, Ph.D. for critical review of the manuscript.
Funding:
This work was supported by the Arkansas Biosciences Institute (the major component of the Tobacco Settlement Proceeds Act of 2000), the Drs. Mae and Anderson Nettleship Endowed Chair of Oncologic Pathology (US 31005156), and the National Institutes of Health (U54 TR001629, UL1 TR003107, and R01 CA 143130).
Footnotes
Conflicts of interest/Competing interests: The authors involved do not have any conflict of interest.
Availability of data and mateiral: The focus group transcripts are available upon request to the corresponding author.
Ethics approval: Separate Institutional Review Board (IRB) approvals were obtained for the online survey and the focus groups.
Consent to participate: For the online survey, clicking on the link embedded in the email served as an informed consent and confirmation that the respondent is at least 18 years old. Focus group participants were provided with an information sheet about the study which served as informed consent.
Consent for publication: Data are being published in a de-identified manner.
REFERENCES
Citations & impact
Impact metrics
Citations of article over time
Alternative metrics
Discover the attention surrounding your research
https://www.altmetric.com/details/106660803
Article citations
Barriers and facilitators of colorectal cancer screening using the 5As framework: A systematic review of US studies.
Prev Med Rep, 35:102353, 29 Jul 2023
Cited by: 2 articles | PMID: 37576848 | PMCID: PMC10415795
Review Free full text in Europe PMC
Factors associated with breast cancer screening services use among women in the United States: An application of the Andersen's Behavioral Model of Health Services Use.
Prev Med, 173:107545, 16 May 2023
Cited by: 2 articles | PMID: 37201597 | PMCID: PMC10773561
Assessment of Colorectal Cancer Screening Disparities in U.S. Men and Women Using a Demographically Representative Sample.
Cancer Res Commun, 2(6):561-569, 30 Jun 2022
Cited by: 8 articles | PMID: 36381661 | PMCID: PMC9645794
Similar Articles
To arrive at the top five similar articles we use a word-weighted algorithm to compare words from the Title and Abstract of each citation.
Breast, Cervical, and Colorectal Cancer Screening Adherence: Effect of Low Body Mass Index in Women.
J Womens Health (Larchmt), 29(7):996-1006, 10 Jan 2020
Cited by: 11 articles | PMID: 31928405
Can breast and cervical cancer screening visits be used to enhance colorectal cancer screening?
J Am Coll Radiol, 1(10):769-776, 01 Oct 2004
Cited by: 17 articles | PMID: 17411698
Does mammogram attendance influence participation in cervical and colorectal cancer screening? A prospective study among 1856 French women.
PLoS One, 13(6):e0198939, 21 Jun 2018
Cited by: 14 articles | PMID: 29927995 | PMCID: PMC6013094
Contextual factors associated with uptake of breast and cervical cancer screening: A systematic review of the literature.
Women Health, 56(8):906-925, 26 Jan 2016
Cited by: 23 articles | PMID: 26812962
Review
Funding
Funders who supported this work.
Arkansas Biosciences Institute
Division of Cancer Epidemiology and Genetics, National Cancer Institute (1)
Grant ID: R01 CA143130
NCATS NIH HHS (2)
Grant ID: U54 TR001629
Grant ID: UL1 TR003107
NCI NIH HHS (1)
Grant ID: R01 CA143130
National Center for Advancing Translational Sciences (2)
Grant ID: UL1 TR003107
Grant ID: U54 TR001629