Skip to main content
PLOS One logoLink to PLOS One
. 2013 Jul 23;8(7):e70209. doi: 10.1371/journal.pone.0070209

Perceived Obstacles of Colorectal Cancer Screening and Their Associated Factors among 10,078 Chinese Participants

Martin C S Wong 1,2,*, Jessica Y L Ching 1, Hoyee H Hirai 1, Thomas Y T Lam 1, Sian M Griffiths 2, Francis K L Chan 1, Joseph J Y Sung 1
Editor: Diane Harper3
PMCID: PMC3720896  PMID: 23894619

Abstract

Purpose

to evaluate the proportion of self-referred screening participants having various psychological barriers and the factors associated with these barriers.

Methods

A territory-wide bowel cancer screening centre sent an invitation via the media to all Hong Kong residents aged 50–70 years who were asymptomatic of CRC to join a free screening programme. Upon attendance they were requested to complete self-administered surveys on their perceived barriers of screening. Binary logistic regression analyses were used to evaluate the factors associated with these barriers.

Results

From 10,078 consecutive screening participants (mean age 57.5 years; female 56.4%) completed the surveys between May 2008 to September 2012. There were high proportions who agreed or strongly agreed with the following barriers: financial difficulty (86.0%), limited service accessibility (58.2%), screening-induced bodily discomfort (55.2%), physical harm (44.4%), embarrassment (40.1%), apprehension (38.8%) and time constraints (13.9%). From regression models, older participants (aged ≥56) were less likely to have these barriers (Adjusted odds ratio [AOR] ranged from 0.738 to 0.952) but they encountered more difficulties to access to screening services (AOR ranged from 1.141 to 1.371). Female subjects were more likely to encounter most of these barriers (AOR ranged from 1.188 to 2.179). Participants who were uncertain of the necessity of CRC screening for people aged ≥50 were more likely to report these barriers (AOR ranged from 1.151 to 1.671).

Conclusion

The proportions of perceptual barriers of CRC screening were high among these participants. Those with these associated factors should receive more thorough explanation of the screening test procedures.

Introduction

Worldwide, colorectal cancer (CRC) is the second and third most common malignancy in women and men, respectively. It accounts for 10% of all cancers globally, leading to 8% of all cancer mortalities in the world, and is the fourth commonest cause of cancer death [1]. In the past decades, Asia-Pacific countries such as China, South Korea, Japan and Singapore have witnessed a two to three-fold rise in incidence of CRC [2], and have been gradually catching up with the figures in Western countries like the US and the UK. The direct medical cost for the care of colorectal neoplasia was estimated to be US$1,941 for low risk polyps and US$45,115 for stage IV CRC in the initial year of care, leading to a substantial global public health burden to the healthcare systems [3].

Three landmark randomised controlled trials have shown that CRC screening using Faecal Occult Blood Testing (FOBT) is effective in reducing cancer mortality by 15% to 33% [4][6]. A 25% relative risk reduction in CRC mortality was found for those attending at least one round of FOBT screening, according to a systematic review conducted in 2007 [7]. Screening colonoscopy studies have demonstrated that 0.5–1% of patients will have CRC diagnosed, and 5–10% of patients will have advanced neoplasia detected [8]. Guidelines from the US Preventive Services Task Force (USPSTF), the European Nations, the Asia-Pacific Consensus statements and other authorities [9][12] recommended average risk individuals aged 50 to 70 years to undergo CRC screening, which are compatible with more recent guidelines from the American Cancer Society, Multi-Society Task Force on CRC and the American College of Radiology [12][14].

However, studies from Japan, France, England and Hong Kong showed that participation or compliance rates in CRC screening using FOBT remained low, ranging from 10–61% [15][18]. A recent territory-wide population-based survey conducted in Hong Kong showed that perceived access, health and psychological barriers to CRC screening were strongly associated with lower screening uptake rates [18]. Prominent psychological barriers of CRC screening included concerns about pain, discomfort, unpleasantness associated with CRC testing and fear of follow-up procedures. Lack of insurance coverage is also a significant barrier, as there is an absence of incentive to undertake screening when no symptoms exist. Financial cost and lack of time commitment are the major access barriers to the undertake CRC screening tests [18]. Other studies have reported that embarrassment associated with CRC screening has been a particularly important obstacle to undergo a screening test [19][21].

Nevertheless, most of the existing studies on barriers to CRC screening were conducted among the general public, family members of CRC patients and those who declined invitations to screening programmes. In primary care settings, subjects who expressed an initial interest to CRC screening are arguably the most likely group who will eventually receive a CRC screening test, but there exists no studies conducted among these individuals. The objective of this study is to evaluate the proportion of self-referred CRC screening participants who perceived various psychological barriers, and the independent factors associated with perception of these barriers.

Materials and Methods

Ethics Statement

This study was approved by the Clinical Research Ethics Committee of the Chinese University of Hong Kong.

Setting

A CRC screening centre was established in Hong Kong in 2008, which invited free CRC screening via the media for all Hong Kong residents aged 50–70 years asymptomatic of CRC. A more detailed description of this invitation has been published previously [22], [23]. Briefly, this study was conducted in a community-based centre which provides education and CRC screening to a large population of Hong Kong. Data were collected based on recruitment between 1st May 2008 and 31st July 2012.

Study Design

This study prospectively recruited a consecutive cohort of 10,078 participants aged 50 to 70 years who self-referred for CRC screening in the centre via telephone, fax, email, or walk-in.

Participant Recruitment

The eligibility criteria for this study was (i) age 50 to 70 years; (ii) absence of existing or previous symptoms suggestive of CRC such as haematochezia, malena, anorexia or change in bowel habit in the past 4 weeks, or weight loss greater than 5 kg in the past 6 months; and (iii) absence of screening test for CRC performed in the past 5 years. Exclusion criteria included personal history of CRC, colonic adenoma, diverticular disease, inflammatory bowel disease, prosthetic heart valve or vascular graft surgery. Participants with medical conditions which were contraindications for colonoscopy were also excluded [22]. The eligibility of each participant and the exclusion criteria were checked by trained staff.

Registered participants were invited to fill in a self-administered questionnaire. Meanwhile, centre staff checked for the completeness of questionnaires and trained volunteers assisted survey completion for illiterate participants by reading the questions word-by-word. Information on their age, gender, educational level, marital status, occupation, monthly household income, family history of CRC was collected. They were also enquired on their perception of various perceptual barriers to CRC screening. A four-point Likert scale was adopted to assess perceptions of eight barriers to CRC screening (strongly agree; agree; disagree; strongly disagree), developed based on published methodology using the Health Belief Model [22], [24], [25], and validated by a panel of epidemiologists, psychologists and gastroenterologists.

Outcome Variables and Covariates

The outcome variables include the proportions of screening participants who agreed or strongly agreed the presence of eight perceived barriers. These included screening-induced physical harm, bodily discomfort, embarrassment, apprehension, financial difficulties, time constraints for attending screening programmes, limited accessibility to screening service providers, and perceived benefits of screening being minimal. The covariates tested for association with these barriers include participants’ age, gender, educational level, marital status, occupational status, monthly household income, self-perceived risks of CRC, family history, and the necessity of CRC screening for people aged ≥50 years.

Statistical Analyses

All data were entered into a predesigned database with logistic checking using Microsoft Access, and analyzed using SPSS software, version 16.0 (Chicago, Illinois). The proportions of participants who perceived the barriers were compared according to the covariates. Eight separate, unconditional logistic regression analyses were conducted with all covariates listed above entered into the models after checking for the absence of interactions. The adjusted Odds Ratios (AORs) and 95% CIs of the potential independent predictors of perceived barriers were estimated. All the variables selected in the multivariate regression analysis were detected for the presence of co-linearity (r >0.80) [26]. P-values ≤0.05 were regarded as statistically significant.

Results

Participant Characteristics

A total of 10,078 screening participants were included in the analysis ( Table 1 ). Their mean age was 57.5 years (SD 5.12 years), and 56.4% were female. The majority of them (56.9%) achieved an educational level at secondary or above, and were married or cohabiting (84.5%). 35.8% worked full-time and 34.0% worked in part-time jobs or were retired. Most of them (57.4%) had monthly household income at US$2,571 or below, and 68.2% perceived themselves as at risks for developing CRC. 13.1% and 12.3% reported their first and second degree relatives to have suffered from CRC, respectively. 83.4% of the participants regarded CRC screening for people aged 50 years or older as very or quite necessary.

Table 1. Participant Characteristics (N = 10,078).

No. of Participants Proportions
Age (years)
50–54 3408 33.8
55–59 3244 32.2
60–64 2280 22.6
65–70 1136 11.3
Gender
Male 4384 43.5
Female 5689 56.4
Educational level
Primary or below 2747 27.3
Secondary 5739 56.9
Tertiary or above 1576 15.6
Marital status
Married/cohabit 8514 84.5
Single/divorced/widowed/others 1546 15.3
Occupational status
Full time 3609 35.8
Part time or retired 3424 34.0
Housewife and others 3030 30.1
Monthly household income ($US)
<1285$ 2932 29.1
1285$ – 2571$ 2856 28.3
2571$ – 3856$ 1428 14.2
3856$ – 5141$ 665 6.6
>5142$ 611 6.1
Refused to answer 1572 15.6
Self perceived risk of CRC
At risk 6873 38.2
Not at risk 2552 25.3
Not sure 608 6.0
Family history of CRC
Nil 5714 57.7
First degree relatives 1313 13.0
Second degree relatives 1242 12.3
Others 1709 17.0
Necessity of CRC screening for people aged ≥50
Very or quite necessary 8402 83.4
Not very necessary or unnecessary 344 3.4
Not sure 1315 13.0
a

CRC: Colorectal Cancer.

Levels of Perceived Barriers among Screening Participants

Financial difficulty (86.0%), limited service accessibility (58.2%) and screening-induced bodily discomfort (55.2%) were the barriers where the greatest proportions of participants “agreed” or “strongly agreed” as barriers; these were followed by physical harm (44.4%), embarrassment (40.1%), apprehension (38.8%) and time constraints (13.9%) ( Table 2 ). A minority perceived the benefit of CRC screening was minimal (9.5%).

Table 2. Attitudinal Barriers of colorectal cancer (CRC) screening (N = 10,078).

Physical harm Bodilydiscomfort Embarrassment Apprehension Economic difficulties Time constraint Poor accessibility Perceived benefit being minimal
na %a n % n % n % n % n % n % n %
Age (years)
50–54 1512 44.4 1898 55.7 1512 44.4 1373 40.3 2951 86.6 522 15.3 2008 58.9 329 9.7
55–59 1473 45.4 1805 55.6 1351 41.6 1274 39.3 2762 85.1 482 14.9 2067 63.7 310 9.6
60–64 1020 44.7 1288 56.5 833 36.5 858 37.6 1973 86.5 277 12.1 1534 67.3 208 9.1
65–70 466 41.0 570 50.2 338 29.8 351 30.9 976 85.9 122 10.7 790 69.5 109 9.6
Gender
Male 1784 40.7 2151 49.1 1390 31.7 1224 27.9 3668 83.7 625 14.3 2716 62.0 380 8.7
Female 2690 47.3 3414 60.0 2648 46.5 2686 47.2 4998 87.9 779 13.7 3688 64.8 576 10.1
Educational level
Primary or below 1304 47.5 1696 61.7 1204 43.8 1245 45.3 2427 88.4 477 17.4 2034 74.0 346 12.6
Secondary 2497 43.5 3043 53.0 2245 39.1 2101 36.6 5034 87.7 720 12.5 3512 61.2 499 8.7
Tertiary or above 670 42.5 823 52.2 585 37.1 560 35.5 1205 76.5 206 13.1 853 54.1 110 7.0
Marital status
Married/cohabit 3804 44.7 4657 54.7 3343 39.3 3264 38.3 7316 85.9 1172 13.8 5396 63.4 788 9.3
Single/divorced/widowed/others 665 43.0 902 58.3 690 44.6 643 41.6 1347 87.1 230 14.9 1001 64.7 166 10.7
Occupational status
Full time 1516 42.0 1895 52.5 1393 38.6 1267 35.1 3014 83.5 760 21.1 2212 61.3 342 9.5
Part time or retired 1458 42.6 1827 53.4 1225 35.8 1182 34.5 2961 86.5 311 9.1 2183 63.8 300 8.8
Housewife and others 1498 49.4 1842 60.8 1418 46.8 1461 48.2 2690 88.8 332 11.0 2005 66.2 312 10.3
Monthly household income ($US)
<1285$ 1270 43.3 1641 56.0 1121 38.2 1120 38.2 2685 91.6 389 13.3 2008 68.5 288 9.8
1285$ – 2571$ 1261 44.2 1600 56.0 1110 38.9 1065 37.3 2573 90.1 423 14.8 1838 64.4 271 9.5
2571$ – 3856$ 619 43.3 731 51.2 549 38.4 500 35.0 1193 83.5 206 14.4 834 58.4 110 7.7
3856$ – 5141$ 283 42.6 331 49.8 256 38.5 235 35.3 505 75.9 79 11.9 370 55.6 51 7.7
>5142$ 259 42.4 293 48.0 251 41.1 238 39.0 363 59.4 92 15.1 296 48.4 49 8.0
Refused to answer 781 49.7 969 61.6 749 47.6 752 47.8 1348 85.8 214 13.6 1053 67.0 186 11.8
Self perceived risk of CRC
At risk 3095 45.0 38.9 40.5 2788 40.6 2654 38.6 5944 86.5 342 5.0 4330 63.0 611 8.9
Not at risk 1103 43.2 1390 54.5 996 39.0 994 38.9 2167 84.9 300 11.8 1616 63.3 261 10.2
Not sure 261 42.9 342 56.3 237 39.0 250 41.1 524 86.2 312 51.3 431 70.9 79 13.0
Family history of CRC
Nil 2497 43.7 3178 55.6 2347 41.1 2282 39.9 4992 87.4 886 15.5 3872 67.8 608 10.6
First degree relatives 590 44.9 722 55.0 532 40.5 495 37.7 1140 86.8 176 13.4 761 58.0 97 7.4
Second degree relatives 567 45.7 714 57.5 483 38.9 470 37.8 1085 87.4 137 11.0 754 60.7 105 8.5
Others 821 48.0 953 55.8 678 39.7 666 39.0 1454 85.1 205 12.0 1018 59.6 146 8.5
Necessity of CRC screening for people aged ≥50
Very or quite necessary 3682 43.8 4541 54.0 3301 39.3 3110 37.0 7249 86.3 1068 12.7 5172 61.6 707 8.4
Not very necessary or unnecessary 169 49.1 217 63.1 149 43.3 163 47.4 291 84.6 68 19.8 230 66.9 67 19.5
Not sure 620 47.1 803 61.1 586 44.6 637 48.4 1124 85.5 267 20.3 995 75.7 182 13.8
a

All n/% refer to responses of “strongly agree” or “agree”.

Factors Associated with the Perception of Screening Barriers

From multivariate regression analysis, older age was significantly associated with lower likelihood of perceiving screening-induced bodily discomfort, embarrassment, apprehension, and financial difficulties ( Table 3 and Table 4 ). Nevertheless, they were more likely than younger participants to have poorer access to service providers. Female participants were more likely to encounter perception of physical harm, bodily discomfort, embarrassment and apprehension related to the screening process, as well as time constraints to attend screening sessions (Adjusted odds ratios [AOR] ranged from 1.188 to 2.179). In general, participants with higher educational levels were less likely to encounter all of these barriers separately (AOR ranged from 0.531 to 0.894). Marital status was not associated with perception of any barriers. When compared with subjects with full-time jobs, those with part-time jobs, retired or housewives were less likely to encounter embarrassment (AOR 0.854 to 0.865), perceive time constraints (AOR 0.317 to 0.325) and experience accessibility problems (AOR 0.861 to 0.876). In addition, housewives were more likely to perceive physical harm induced by screening (AOR 1.217). Participants having monthly household income >US$5,142 were more likely to feel embarrassed (AOR 1.285) and apprehensive (AOR 1.385) about screening, yet were in general less likely to encounter financial difficulties (AOR 0.137 to 0.782), time constraints (AOR 0.661 to 0.816), and accessibility to screening services (AOR 0.580 to 0.710). Those who did not perceived themselves at risks for CRC were less likely to experience physical harm (APR 0.897), embarrassment (AOR 0.884), apprehension (AOR 0.920) and financial difficulties (AR 0.853). Participants with their relatives having family history of CRC were less likely to encounter accessibility problems (AOR 0.729 to 0.799). Except financial difficulties, people who were uncertain about the necessity of CRC screening among subjects aged at ≥50 years were more likely to encounter all the barriers under study (AOR 1.151 to 1.671). The covariates in the regression analysis did not show interactions nor multi-collinearity, implying the robustness of the regression models.

Table 3. Factors associated with greater barriers of CRC screening (physical harm, bodily discomfort, embarrassment and apprehension).

Physical harm Bodily discomfort Embarrassment Apprehension
Adjusted odds ratio (95% C.I.) p Adjusted odds ratio (95% C.I.) p Adjusted odds ratio (95% C.I.) p Adjusted odds ratio (95% C.I.) p
Age (years)
50–54 1.00 (referent) 1.00 (referent) 1.00 (referent) 1.00 (referent)
55–59 1.016 (0.919–1.123) 0.754 0.949 (0.858–1.049) 0.305 0.879 (0.794–0.972) 0.012 0.952 (0.858–1.056) 0.352
60–64 0.982 (0.874–1.105) 0.766 0.966 (0.858–1.087) 0.561 0.702 (0.622–0.791) <0.001 0.883 (0.782–0.998) 0.046
65–70 0.866 (0.744–1.008) 0.063 0.738 (0.634–0.859) <0.001 0.520 (0.443–0.611) <0.001 0.830 (0.709–0.972) 0.021
Gender
Male 1.00 (referent) 1.00 (referent) 1.00 (referent) 1.00 (referent)
Female 1.188 (1.076–1.311) 0.001 1.411 (1.278–1.558) <0.001 1.708 (1.543–1.891) <0.001 2.179 (1.965–2.417) <0.001
Educational level
Primary or below 1.00 (referent) 1.00 (referent) 1.00 (referent) 1.00 (referent)
Secondary 0.894 (0.812–0.985) 0.024 0.761 (0.690–0.840) <0.001 0.865 (0.783–0.955) 0.004 0.812 (0.735–0.898) <0.001
Tertiary or above 0.905 (0.786–1.042) 0.166 0.835 (0.725–0.963) 0.013 0.854 (0.738–0.988) 0.034 0.880 (0.759–1.020) 0.089
Marital status
Married/cohabited 1.00 (referent) 1.00 (referent) 1.00 (referent) 1.00 (referent)
Single/divorced/widowed/others 0.892 (0.795–1.001) 0.051 1.008 (0.897–1.132) 0.893 1.095 (0.975–1.230) 0.126 0.930 (0.826–1.047) 0.228
Occupational status
Full time 1.00 (referent) 1.00 (referent) 1.00 (referent) 1.00 (referent)
Part time or retired 1.052 (0.944–1.173) 0.360 1.009 (0.905–1.125) 0.871 0.865 (0.783–0.955) 0.004 0.975 (0.869–1.093) 0.659
Housewife and others 1.217 (1.078–1.374) 0.001 1.058 (0.936–1.196) 0.365 0.854 (0.738–0.988) 0.034 1.103 (0.975–1.248) 0.121
Monthly household income ($US)
<1285$ 1.00 (referent) 1.00 (referent) 1.00 (referent) 1.00 (referent)
1285$ – 2571$ 1.061 (0.951–1.183) 0.292 1.041 (0.932–1.162) 0.475 1.024 (0.914–1.146) 0.685 1.050 (0.937–1.177) 0.400
2571$ – 3856$ 1.055 (0.922–1.208) 0.435 0.880 (0.769–1.007) 0.064 1.025 (0.891–1.178) 0.733 0.986 (0.856–1.137) 0.850
3856$ – 5141$ 1.052 (0.879–1.259) 0.580 0.863 (0.722–1.033) 0.108 1.104 (0.917–1.328) 0.295 1.071 (0.887–1.293) 0.478
>5142$ 1.078 (0.886–1.311) 0.455 0.827 (0.680–1.005) 0.056 1.285 (1.052–1.569) 0.014 1.385 (1.131–1.696) 0.002
Self perceived risk of CRC
At risk 1.00 (referent) 1.00 (referent) 1.00 (referent) 1.00 (referent)
Not at risk 0.897 (0.817–0.985) 0.023 0.917 (0.835–1.007) 0.069 0.884 (0.803–0.972) 0.011 0.920 (0.835–1.013) 0.091
Not sure 0.878 (0.739–1.042) 0.136 0.950 (0.799–1.129) 0.557 0.904 (0.757–1.078) 0.260 0.976 (0.817–1.165) 0.784
Family history of CRC
Nil 1.00 (referent) 1.00 (referent) 1.00 (referent) 1.00 (referent)
First degree relatives 1.079 (0.954–1.220) 0.224 1.010 (0.893–1.142) 0.875 0.975 (0.860–1.106) 0.696 0.943 (0.829–1.072) 0.368
Second degree relatives 1.101 (0.972–1.247) 0.131 1.103 (0.973–1.252) 0.127 0.901 (0.792–1.025) 0.114 0.895 (0.785–1.020) 0.096
Others 1.236 (1.108–1.379) <0.001 1.066 (0.954–1.191) 0.257 0.956 (0.854–1.071) 0.437 0.984 (0.877–1.103) 0.778
Necessity of CRC screening for people aged ≥50
Very or quite necessary 1.00 (referent) 1.00 (referent) 1.00 (referent) 1.00 (referent)
Not very necessary or unnecessary 1.198 (0.962–1.492) 0.106 1.332 (1.061–1.673) 0.014 1.145 (0.915–1.432) 0.238 1.402 (1.121–1.754) 0.003
Not sure 1.151 (1.020–1.298) 0.022 1.283 (1.134–1.451) <0.001 1.250 (1.106–1.413) <0.001 1.571 (1.389–1.777) <0.001
a

CRC: Colorectal Cancer.

*

Figures in red bold represent the association was tested significant (p<0.05).

Table 4. Factors associated with greater barriers of CRC screening (economic difficulties, time constraints, poor accessibility, perceived benefit of screening being minimal).

Economic difficulties Time constraint Poor accessibility Perceived benefit being minimal
Adjusted odds ratio(95% C.I.) p Adjusted odds ratio(95% C.I.) p Adjusted odds ratio(95% C.I.) p Adjusted odds ratio(95% C.I.) p
Age (years)
50–54 1.00 (referent) 1.00 (referent) 1.00 (referent) 1.00 (referent)
55–59 0.738 (0.635–0.856) <0.001 1.094 (0.950–1.260) 0.213 1.141 (1.029–1.266) 0.012 0.953 (0.805–1.129) 0.579
60–64 0.738 (0.617–0.883) 0.001 1.051 (0.883–1.251) 0.576 1.263 (1.117–1.429) <0.001 0.857 (0.701–1.047) 0.130
65–70 0.660 (0.526–0.828) <0.001 1.039 (0.820–1.318) 0.749 1.371 (1.166–1.611) <0.001 0.885 (0.685–1.142) 0.347
Gender
Male 1.00 (referent) 1.00 (referent) 1.00 (referent) 1.00 (referent)
Female 1.116 (0.963–1.292) 0.144 1.206 (1.048–1.388) 0.009 1.021 (0.921–1.132) 0.696 1.063 (0.897–1.259) 0.481
Educational level
Primary or below 1.00 (referent) 1.00 (referent) 1.00 (referent) 1.00 (referent)
Secondary 1.064 (0.913–1.240) 0.429 0.638 (0.556–0.732) <0.001 0.634 (0.570–0.705) <0.001 0.730 (0.625–0.853) <0.001
Tertiary or above 0.749 (0.614–0.913) 0.004 0.668 (0.543–0.821) <0.001 0.531 (0.458–0.616) <0.001 0.586 (0.455–0.755) <0.001
Marital status
Married/cohabited 1.00 (referent) 1.00 (referent) 1.00 (referent) 1.00 (referent)
Single/divorced/widowed/others 0.873 (0.733–1.039) 0.126 1.066 (0.904–1.257) 0.446 0.977 (0.866–1.103) 0.712 1.130 (0.937–1.362) 0.203
Occupational status
Full time 1.00 (referent) 1.00 (referent) 1.00 (referent) 1.00 (referent)
Part time or retired 1.007 (0.859–1.181) 0.932 0.317 (0.269–0.374) <0.001 0.861 (0.768–0.964) 0.009 0.867 (0.719–1.046) 0.137
Housewife and others 1.050 (0.872–1.265) 0.606 0.325 (0.273–0.387) <0.001 0.876 (0.771–0.995) 0.041 0.888 (0.725–1.087) 0.248
Monthly household income ($US)
<1285$ 1.00 (referent) 1.00 (referent) 1.00 (referent) 1.00 (referent)
1285$–2571$ 0.782 (0.648–0.944) 0.010 0.903 (0.769–1.061) 0.216 0.900 (0.802–1.011) 0.076 1.008 (0.838–1.213) 0.933
2571$–3856$ 0.433 (0.353–0.532) <0.001 0.816 (0.669–0.996) 0.046 0.720 (0.626–0.829) <0.001 0.831 (0.652–1.058) 0.133
3856$–5141$ 0.267 (0.211–0.338) <0.001 0.661 (0.502–0.872) 0.003 0.689 (0.574–0.828) <0.001 0.882 (0.637–1.221) 0.450
>5142$ 0.137 (0.108–0.174) <0.001 0.828 (0.625–1.097) 0.188 0.580 (0.476–0.707) <0.001 1.021 (0.720–1.448) 0.906
Self perceived risk of CRC
At risk 1.00 (referent) 1.00 (referent) 1.00 (referent) 1.00 (referent)
Not at risk 0.853 (0.745–0.977) 0.021 0.956 (0.834–1.097) 0.523 0.958 (0.869–1.056) 0.386 1.089 (0.932–1.272) 0.283
Not sure 0.931 (0.723–1.199) 0.580 0.905 (0.708–1.156) 0.424 1.120 (0.927–1.353) 0.239 1.249 (0.964–1.619) 0.092
Family history of CRC
Nil 1.00 (referent) 1.00 (referent) 1.00 (referent) 1.00 (referent)
First degree relatives 1.032 (0.858–1.243) 0.735 0.880 (0.735–1.054) 0.165 0.729 (0.643–0.827) <0.001 0.740 (0.590–0.928) 0.009
Second degree relatives 1.075 (0.888–1.301) 0.457 0.727 (0.597–0.884) 0.001 0.799 (0.702–0.909) 0.001 0.831 (0.667–1.035) 0.098
Others 0.956 (0.814–1.122) 0.578 0.783 (0.662–0.925) 0.004 0.781 (0.697–0.876) <0.001 0.845 (0.698–1.024) 0.086
Necessity of CRC screening for people aged ≥50
Very or quite necessary 1.00 (referent) 1.00 (referent) 1.00 (referent) 1.00 (referent)
Not very necessary or unnecessary 0.718 (0.527–0.979) 0.036 1.644 (1.239–2.182) 0.001 1.057 (0.836–1.337) 0.642 2.288 (1.723–3.039) <0.001
Not sure 0.850 (0.712–1.014) 0.071 1.671 (1.428–1.955) <0.001 1.661 (1.446–1.906) <0.001 1.532 (1.278–1.835) <0.001
a

CRC: Colorectal Cancer.

*

Figures in red bold represent the association was tested significant (p<0.05).

Discussion

At present CRC screening among asymptomatic patients in Hong Kong is not subsidized by the Government and citizens who wish to undergo screening should pay out of their own pocket. According to the Health Belief Model [27] one should address the major constructs in order to enhance the CRC screening uptake rate. These include perceived susceptibility, severity, barriers and benefits. In this study we found a high proportion of CRC screening participants having various barriers, especially financial difficulty, limited service accessibility, as well as screening-induced bodily discomfort, physical harm, embarrassment and apprehension. Notable patient groups having higher likelihood of encountering these barriers include younger subjects, female participants, people with lower educational level, subjects with full-time jobs, those who perceived themselves at risks for CRC, and people who were uncertain about the necessity of CRC screening among subjects aged at ≥50 years.

A cross-sectional study of the barriers among a sample of persons at risk for CRC was conducted in the Mid-western metropolitan area of Omaha [28]. A significant proportion of people reported internal barriers like time constraints (49%), pain (44%), inconvenience (42%), fear of cancer diagnosis (42%) and embarrassment (35%), amongst others. Some external factors were also reported, including cost of the screening tests (44%) and lack of recommendation from a primary care physician (35%). This study presented even higher proportions of screening participants reporting these barriers. Further, a recent systematic review includes 83 studies on the most commonly found barriers to CRC screening and the associated factors. Some of them were compatible with the findings of the present survey. These consist of low education levels, female gender, low socioeconomic status, presence of chronic comorbid conditions, being married or living with partner, lack of awareness regarding CRC screening, absence of health insurance and lack of screening recommendation by a physician [29]. The last barrier has been consistently found from other studies [30], [31], and also in our previous study [18]. However, we are unaware of any studies conducted among self-referred screening participants studying the independent factors associated with perception of the different barriers. The reasons why people with these associated factors were more likely to perceive screening barriers remain speculative, and future studies are warranted to ascertain the underlying reasons.

To our knowledge, this is the largest study conducted among screening participants on their perceptions of screening barriers. The survey used was designed based on the well recognized health belief model, and the 100% completion rates of the questionnaires are amongst some of the strengths. Nevertheless, there are some limitations which should be addressed. Firstly, the study was conducted among consecutive screening participants, and their socio-demographic characteristics might be different from the general public. However, as our research question focused on self-referred screening participants, it is inevitable for this survey to include more health-conscious subjects who are not generalisable to the population. In addition, some participants might have already accessed to information on the CRC screening tests before attendance to the centre, and this might change their perception on the different barriers. Furthermore, there might exist some confounders where we could not control for in this study, like prior experience of health service utilization, peer influences and previous consultations with physicians. Furthermore, this is a cross sectional study which could not delineate cause-and-effect relationships - and one may only draw conclusions on associations between the barriers and the covariates. Some of the other well-recognized barriers have not been evaluated, including those related to healthcare providers and the Governmental policy.

This study bears several important implications. Firstly, the proportions of participants having various barriers of CRC screening were high despite the fact that they were self-referred. It could be speculated the general public may experience these barriers to an even greater extent. To improve CRC screening uptake, more educational seminars should be designed and implemented in the community and clinics to explain the screening procedures in a more thorough manner. These include the simplicity and safety nature of the screening process which very rarely induces significant bodily discomfort or physical harm. Peer educators who have undergone CRC screening procedures could be invited to share with prospective screening participants on their screening experience, which could potentially remove the perception of embarrassment and apprehension associated with screening. Secondly, this study has evaluated the factors associated with the perception of these barriers. It follows that people with these associated factors should be explored more for the possible presence of psychological barriers. Also, more comprehensive explanation of the screening procedures should be discussed with this group of prospective participants to facilitate screening uptake.

In addition, it has been found that some health system-related barriers were also reported in a large proportion of participants. For instance, whereas the elderly were less likely to encounter the various psychological barriers and were at higher risks for CRC, they were however more likely to experience poor access to the service providers for screening. Also, those who perceived themselves at risks for CRC were more likely to experience psychological barriers, which might be due to their higher likelihood to encounter an adverse screening outcome. For implementation of population-based CRC screening programmes in the future, a better infrastructure for CRC screening should be constructed so as to improve accessibility to screening services, coupled with counseling services which could help remove the various barriers. Financial difficulties have also been reported in a large proportion of self-referred participants, and the Government should consider subsidizing screening services among eligible subjects as recommended by guidelines. In the long term, this will translate into reduction of CRC mortality. Future studies should explore effective interventional strategies to overcome these barriers.

Funding Statement

The authors acknowledged the support of the Hong Kong Jockey Club Charities Trust for the full funding support of this project. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1. Ferlay J, Shin HR, Bray F, Forman D, Mathers C, et al. (2010) Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer 127: 2893–2917. [DOI] [PubMed] [Google Scholar]
  • 2. Sung JJY, Lau JYW, Goh KL, Leung WK (2005) for the on Asia Pacific Working Group on Colorectal Cancer (2005) Increasing incidence of colorectal cancer in Asia: implications for screening. Lancet Oncol 6: 871–6. [DOI] [PubMed] [Google Scholar]
  • 3. Wong CK, Lam CL, Poon JT, McGhee SM, Law WL, et al. (2012) Direct medical costs of care for Chinese patients with colorectal neoplasia: a health care service provider perspective. J Eval Clin Pract. 18: 1203–1210. [DOI] [PubMed] [Google Scholar]
  • 4. Hardcastle JD, Chamberlain JO, Robinson MH, Moss SM, Amar SS, et al. (1996) Randomised controlled trial of faecal-occult-blood screening for colorectal cancer. Lancet 348: 1472–7. [DOI] [PubMed] [Google Scholar]
  • 5. Jørgensen OD, Kronborg O, Fenger C (2002) A randomised study of screening for colorectal cancer using faecal occult blood testing: results after 13 years and seven biennial screening rounds. Gut 50: 29–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Mandel JS, Church TR, Ederer F, Bond JH (1999) Colorectal cancer mortality: effectiveness of biennial screening for fecal occult blood. J Natl Cancer Inst 91: 434–7. [DOI] [PubMed] [Google Scholar]
  • 7. Hewitson P, Glasziou P, Irwig L, Towler B, Watson E (2007) Screening for colorectal cancer using the faecal occult blood test, Hemoccult. Cochrane Database Syst Rev (1): CD001216. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Regula J, Rupinski M, Kraszewska E, Polkowski M, Pachlewski J, et al. (2006) Colonoscopy in colorectal-cancer screening for detection of advanced neoplasia. N Engl J Med 355: 1863–1872. [DOI] [PubMed] [Google Scholar]
  • 9. Pignone M, Rich M, Teutsch SM, Berg AO, Lohr KN (2002) Screening for colorectal cancer in adults at average risk: a summary of the evidence for the U.S. Preventive Services Task Force. Ann Intern Med 137: 132–41. [DOI] [PubMed] [Google Scholar]
  • 10. Levin B, Lieberman AD, McFarland B, Smith RA, Brooks D, et al. (2008) American Cancer Society Colorectal Cancer Advisory Group; US Multi-Society Task Force; American College of Radiology Colon Cancer Committee. Screening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the U.S. Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology. CA Cancer J Clin 58: 130–60. [DOI] [PubMed] [Google Scholar]
  • 11. Sung JJ, Lau JY, Young GP, Sano Y, Chiu HM, et al. (2008) Asia Pacific consensus recommendations for colorectal cancer screening. Gut 57(8): 1166–1176. [DOI] [PubMed] [Google Scholar]
  • 12. Advisory Committee on Cancer Prevention (2000) Recommendations on cancer screening in the European Union. Eur J Cancer 36: 1473–1478. [DOI] [PubMed] [Google Scholar]
  • 13. Whitlock EP, Lin JS, Liles E, Beil TL, Fu R (2008) Screening for colorectal cancer: a targeted, updated systematic review for the U.S. Preventive Services Task Force. Ann Intern Med 149: 638–658. [DOI] [PubMed] [Google Scholar]
  • 14. US Preventive Services Task Force (2008) Screening for colorectal cancer: US Preventive Services Task Force recommendation statement. Ann Intern Med 149: 627–637. [DOI] [PubMed] [Google Scholar]
  • 15.Goulard H, Boussac-Zarebska M, Ancelle-Park R, Juliette Bloch et les médecins coordinateurs (2007) Evaluation epidemiologique du depistage du cancer du colon et du rectum. Premieres campagnes du programme pilote francais. http://www.invs.sante.fr/publications/2007/cancer_colon_rectum/cancer_colon_rectum.pdf (accessed 09 April 2013).
  • 16. Saito H (2006) Colorectal cancer screening using immunochemical faecal occult blood testing in Japan. J Med Screen 13: S6–7. [PubMed] [Google Scholar]
  • 17. Weller D, Coleman D, Robertson R, Butler P, Melia J, et al. (2007) The UK colorectal cancer screening pilot: results of the second round of screening in England. Br. J Cancer 97: 1601–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Sung JJ, Choi SY, Chan FK, Ching JY, Lau JT, et al. (2008) Obstacles to colorectal cancer screening in Chinese: a study based on the health belief model. Am J Gastroenterol. 103: 974–81. [DOI] [PubMed] [Google Scholar]
  • 19. Rawl SM, Menon U, Champion VL, Foster JL, Skinner CS (2000) Colorectal cancer screening beliefs: focus groups with first-degree relatives. Cancer Pract 8: 32–37. [DOI] [PubMed] [Google Scholar]
  • 20. McCaffery K, Borril J, Williamson S, Taylor T, Sutton S, et al. (2001) Declining the offer of flexible sigmoidoscopy screening for bowel cancer: a qualitative investigation of the decision-making process. Soc Sci Med 53: 679–691. [DOI] [PubMed] [Google Scholar]
  • 21. Lewis SF, Jensen NM (1996) Screening sigmoidoscopy: factors associated with utilization. J Gen Intern Med 11: 542–544. [DOI] [PubMed] [Google Scholar]
  • 22. Wong MCS, Tsoi KKF, Ng SSM, Lou VWQ, Choi SYP, et al. (2010) A Comparison of the acceptance of FIT and colonoscopy in colorectal cancer screening: A prospective study among Chinese. Aliment Pharmacol Ther. 32: 74–82. [DOI] [PubMed] [Google Scholar]
  • 23. Wong MCS, John GK, Hirai HW, Lam TY, Luk AK, et al. (2012) Changes in the choice of colorectal cancer screening tests in primary care settings from 7,845 prospectively collected surveys. Cancer Causes Control 23: 1541–8. [DOI] [PubMed] [Google Scholar]
  • 24. Rosenstock IM, Strecher VJ, Becker MH (1988) Social learning theory and the Health Belief Model. Health Edu Q 15: 175–183. [DOI] [PubMed] [Google Scholar]
  • 25. Champion VL (1984) Instrument development for health belief model constructs. ANS Adv Nurs Sci. 6: 73–85. [DOI] [PubMed] [Google Scholar]
  • 26.Katz MH (2006) Multivariable Analysis: A Practical Guide for Clinicians, 2nd edition. Cambridge University Press, 2006. p. 69.
  • 27. Janz NK, Becker MH (1984) The Health Belief Model: A Decade Later. Health Educ Q 11: 1–47. [DOI] [PubMed] [Google Scholar]
  • 28. Stacy R, Torrence WA, Mitchell CR (2008) Perceptions of knowledge, beliefs, and barriers to colorectal cancer screening. J Cancer Educ 23: 238–240. [DOI] [PubMed] [Google Scholar]
  • 29. Guessous I, Dash C, Lapin P, Doroshenk M, Smith RA, et al. (2010) National Colorectal Cancer Roundtable Screening Among the 65 Plus Task Group. Colorectal cancer screening barriers and facilitators in older persons. Prev Med 50: 3–10. [DOI] [PubMed] [Google Scholar]
  • 30. Berkowitz Z, Hawkins NA, Peipins LA, White MC, Nadel MR (2008) Beliefs, risk perceptions, and gaps in knowledge as barriers to colorectal cancer screening in older adults. J Am Geriatr Soc 56: 307–314. [DOI] [PubMed] [Google Scholar]
  • 31. Klabunde CN, Schenck AP, Davis WW (2006) Barriers to colorectal cancer screening among Medicare consumers. Am J Prev Med 30: 313–319. [DOI] [PubMed] [Google Scholar]

Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES