Skip to main content
  • Research article
  • Open access
  • Published:

Why are the public so positive about colorectal cancer screening?

Abstract

Background

Colorectal cancer (CRC) screening is widely recommended. Earlier research showed that the general public are positive about CRC screening, as too the eligible CRC screening population. Among the eligible CRC screening population this positive perception has been shown to be associated with their perceptions of cancer, preventive health screening and their own health. It is unclear whether these concepts are also associated with the positive perception of the general public. Knowing this can provide insight into the context in which public perception concerning CRC screening is established. The aim of our study was to examine which main perceptions are associated with the public perception concerning CRC screening.

Methods

An online survey was carried out in a Dutch population sample (adults 18+) among 1679 respondents (response rate was 56%). We assessed the public’s perceptions concerning cancer, preventive health screening, own health, and the government, and examined their possible association with public opinion concerning CRC screening.

Results

The public’s positive attitude towards CRC screening is associated with the public’s positive attitude towards preventive health screening in general, their perceived seriousness of cancer, their belief of health being important, and their trust in the government regarding national screening programmes.

Conclusion

Trust in the government and perceptions regarding the seriousness of cancer, preventive health screening and the importance of one’s health seem to be important factors influencing how the public view CRC screening. The public are likely to process information about CRC screening in such a way that it confirms their existing beliefs of cancer being serious and preventive screening being positive. This makes it likely that they will notice information about the possible benefits of CRC screening more than information about its possible downsides, which would also contribute to the positive perception of CRC screening.

Peer Review reports

Background

Colorectal cancer (CRC) is one of the most common causes of cancer death in developed countries [1, 2]. Population-based CRC screening can reduce the incidence and mortality of CRC [3,4,5,6], which is why it is widely recommended [7,8,9]. Since January 2014, a national CRC screening programme exists in the Netherlands, provided by the government. The participation rate for this programme is relatively high (73%) [10], suggesting a positive perception of CRC screening among the eligible screening population, adults aged 55–75. Even though participation rates in other countries are typically lower, a generally positive perception of CRC screening among the eligible screening population is also found in other countries [11,12,13,14,15,16,17], with most people believing that CRC screening saves lives [15, 16] and that it is a good thing to do [13,14,15,16]. In addition to potential benefits, CRC screening also involves potential harms and risks (such as overdiagnosis, false negatives, false positives and risks associated with colonoscopy) [9, 18,19,20,21]. People seem to be more aware of the possible benefits of CRC screening than of its possible downsides [13, 14, 22]. Assessing whether the possible benefits for an individual outweigh the potential harms involves complicated information as well as personal values [23,24,25], making it a complex question to address. Therefore, making a well-informed and personal decision concerning CRC screening participation, with people truly understanding the possible benefits and harms as well as their own preferences, is increasingly seen as being important [23,24,25,26,27].

An individual’s personal perception and, consequently, personal decision concerning CRC screening might be affected by public opinion regarding CRC screening [28,29,30,31]. Therefore, it seems relevant to examine this public opinion. A common definition of public opinion is that it concerns the dominant opinion or the opinion of the majority on a topic relevant for the public [15, 16, 29, 32]. Previous research into public opinion has mostly been conducted in the field of sociology or political science, typically assessing public opinion by examining a large group of individuals representative for the public and determining their level of support [33,34,35] and/or attitude towards a certain issue or action [15, 16, 32,33,34,35]. When assessing public opinion by focussing on attitude, some studies made a distinction between personal attitude, which concerns whether someone thinks that CRC screening is a good idea for themselves, and collective attitude, which concerns whether someone thinks that CRC screening is a good idea for the Dutch population as a whole [29, 32]. Both personal and collective attitude affect the ‘overall’ attitude towards the CRC screening programme.

The majority of studies into CRC screening focused on examining perceptions of the eligible screening population within the direct context of individual participation [11,12,13,14,15,16,17], and not the perception of the general public, which includes people both inside and outside the eligible screening population [17, 36]. Earlier research showed that the Dutch public (adults 18+) are supportive of and positive about the CRC screening programme in the Netherlands, and were more aware of, and knowledgeable about, the possible benefits of CRC screening than about its possible harms and risks [37]. This is consistent with findings among the eligible screening population [17, 35, 38]. The lack of awareness of the possible harms and risks of CRC screening may, in part, explain why the public are positive about the CRC screening programme. In addition, the perception of CRC screening could also be affected by the perceptions regarding more general concepts related to CRC screening [30, 34, 39,40,41,42], as has been found in studies among the eligible screening population. The main general concepts examined in these studies were cancer [12, 15, 17, 43, 44], preventive health/cancer screening [15, 17, 43, 45], and one’s health [12, 43, 46]. These concepts seem to pertain to the core notion of what CRC screening entails (i.e. preventive screening to avoid becoming ill or to detect cancer in an early stage [7, 9]). Generally, people are more positive about CRC screening when they perceive cancer as being more serious [38, 44], see themselves as more susceptible to getting cancer [38], are more positive about preventive health screening [38, 45], and consider their health to be important [43, 46, 47]. Mixed results are found concerning the association with anxiety or worry about getting cancer [38, 44] and self-reported health status [38, 47]. Furthermore, the public’s perception of the government also seems relevant as the Dutch CRC screening programme is provided by the government [25]. People have a more positive perception towards facilities provided by the government when they trust the government or believe that the government has a responsibility in the public health domain [48, 49]. It is likely that people have had at least some previous experience with, or knowledge about, these more general concepts, resulting in pre-existing perceptions about them. These pre-existing perceptions can provide people with a mental framework, which is then used as a ‘short-cut’ to help understand and evaluate the less familiar subject of CRC screening by guiding which information is used and how to interpret it [30, 34, 40, 41, 50]. Although this ‘short-cut’ is often useful, it could also possibly affect how well-informed public opinion concerning CRC screening is, because information fitting well with pre-existing perceptions is generally noticed more, seen to be of more value, and remembered better [30, 34, 39, 40, 50, 51].

Our study aims to answer the following research questions:

  1. 1.

    What are the public’s perceptions concerning cancer, preventive health screening, own health, and the government?

  2. 2.

    Are the public’s attitude and level of support concerning the CRC screening programme associated with the public’s perceptions concerning cancer, preventive health screening, own health, and the government?

Methods

Questionnaire and participants

We recruited participants via a national online research panel (Flycatcher Internet Research, www.flycatcher.eu; ISO 26362). Members of this panel sign up voluntarily to participate in online research. The questionnaire was pre-tested among 36 members of the online panel; they were asked to comment on its comprehensibility, difficulty, length and intrusiveness. After the pre-test, some adjustments in wording and format were made. For our survey, 3000 panel members from the age of 18, diverse in education (low, intermediate, and high according to the International Standard Classification of Education (ISCED), 2011) and region were invited in December 2014 via e-mail to complete our online questionnaire.

Measures (Fig. 1)

Public opinion concerning the CRC screening programme

Level of support

We assessed participants’ support for the CRC screening programme by asking whether they thought it was good that the programme existed in the Netherlands (5-point scale: 1 = totally not good, 5 = totally good) [33, 52].

Fig. 1
figure 1

Measures used to assess public perceptions of cancer, preventive health screening, own health, the government, and the CRC screening programme

Personal and collective attitude

We first assessed participants’ collective attitude by asking them to evaluate the CRC screening programme with the Dutch population in mind (‘I believe the CRC screening programme to be … for the Dutch population’). Subsequently, we assessed participants’ personal attitude by asking them what they thought of the CRC screening programme for themselves (‘I believe participating in the CRC screening programme to be … for myself’). Regarding both attitude assessments, we asked participants to evaluate the CRC screening programme on six dimensions using 5-point semantic differential scales (bad/good; disturbing/reassuring; not meaningful/meaningful; not self-evident/self-evident; not frightening/frightening; unimportant/important). These dimensions were derived from the 10-item attitude scale used by Van Dam et al. [53].

Public perception of cancer

Beliefs concerning cancer severity

We assessed participants’ perception of the severity of cancer by asking to what extent they agreed with the following statements: 1. Cancer is very serious; 2. Cancer has major consequences for your life; 3. Cancer is very treatable; 4. Cancer means the end of your life; 5. Cancer is (virtually) impossible to prevent; 6. Cancer is more serious than other illnesses (5-point scales: 1 = totally disagree, 5 = totally agree) [54, 55].

Cancer risk perception

To assess participants’ risk perception concerning cancer, we asked what they thought their chance was of getting cancer in general (5-point scale: 1 = very small, 5 = very big), and how they perceived this chance compared to others (5-point scale: 1 = much smaller, 2 = smaller, 3 = the same, 4 = greater, 5 = much greater) [56, 57].

Cancer worry/anxiety

To assess participants’ worry and anxiety concerning cancer, we asked to what extent they worry about getting cancer, and to what extent the thought of getting it makes them feel anxious (5-point scales: 1 = not at all, 5 = a lot) [58, 59].

Public perception of preventive health screening

Attitude towards preventive health screening

We assessed participants’ attitude towards preventive health screening in general (such as cancer screening, screening for high blood pressure, screening for high cholesterol, etc.) by asking them to evaluate preventive health screening on six dimensions using 5-point semantic differential scales (bad/good; disturbing/reassuring; not meaningful/meaningful; not self-evident/self-evident; not frightening/frightening; unimportant/important) [53].

Beliefs concerning effectiveness of preventive health screening

We asked participants whether they thought that by regularly having their health examined they could detect health problems at an early stage (5-point scale: 1 = totally disagree, 5 = totally agree) [55].

Public perception of own health

Beliefs concerning importance of own health

We asked participants to what extent they agreed with the statement ‘My health is very important to me’ (5-point scale: 1 = totally disagree, 5 = totally agree) [55].

Beliefs concerning own health status

We asked participants to report how they perceived their current health status to be (5-point scale: 1 = poor, 2 = fair, 3 = good, 4 = very good, 5 = excellent) [60].

Public perception of the government

Trust in government

First, we assessed participants’ trust in the government’s current policy in general on protecting and promoting people’s health (on a scale from one to ten: 1 = none at all, 10 = a lot) [61]. Second, we assessed participants’ trust in the government regarding national screening programmes by asking them to what extent they agreed with the following statements (following the format of Siegrist and Cvetokovich) [49]: 1. The government has people’s health as a priority when offering a national screening programme; 2. The government carefully considers the pros, cons and costs of a national screening programme; 3. The government communicates openly and fully about the pros, cons and costs of a national screening programme (5-point scales: 1 = totally disagree, 5 = totally agree).

Beliefs concerning responsibility of government

We asked participants what responsibility the government should have when it comes to people’s health, by asking them whether they agreed (yes/no) with the following statements: 1. The government has no responsibility when it comes to people’s health; 2. The government has the responsibility to provide public education concerning how people can stay as healthy as possible; 3. The government has the responsibility to provide national screening programmes (on a voluntary basis); 4. The government has the responsibility to ensure that people participate in national screening programmes.

Statistical analysis

Missing data were very limited (with a maximum of 20 cases per variable) and were dealt with by performing mean imputation. Composite scores and scale scores (the means of the sum scores) were calculated when reliability was sufficient, based on factor analysis and the correlation between items or Cronbach’s alpha (α > .60).

We performed descriptive statistics for the public’s perceptions concerning cancer, preventive health screening, own health, and the government (see Additional file 1: Appendix A for the descriptive statistics of all initial single items used to measure these perceptions). Additionally, for descriptive purposes, scores for all variables were categorised, with scores of 1 and 2 classified as low or negative, scores of 3 as not high/not low or neutral, and scores of 4 and 5 as high or positive. For the variable ‘trust in government regarding protection and promotion of people’s health’ scoring 6 or higher was seen as having reasonable trust [61].

We conducted multiple linear regression analysis to determine the possible association between public opinion regarding the CRC screening programme and public perceptions concerning the main general concepts related to CRC screening. All analyses are based on the original range of scores and not on the categories we assigned. We explored three models, using three conceptualisations of public opinion (the dependent variable): 1. Level of support (model 1); 2. Personal attitude (model 2); and 3. Collective attitude (model 3). Variables regarding the public perceptions concerning cancer, preventive health screening, own health and the government were entered as independent variables. Backward selection was applied, where first all independent variables are entered in the model and the variable with the highest non-significant p-value (p ≥ .05) is then removed. Variables with significant effects are left in the final model. All analyses were carried out using IBM Statistical Package for the Social Sciences (SPSS) Software Version 22.0.

Results

Sample characteristics

The response rate to our survey was 56% (1679 participants). The sample characteristics are summarized in Table 1. A full description can be found in a previous publication [37]. Based on data from Statistics Netherlands [62], the distribution of the sample regarding gender, age, education and geographic location was representative of the Dutch population (i.e. the general public). Non-response analysis showed that people were more likely to have participated in our survey when older, higher educated or male.

Table 1 Demographic characteristics of the sample population

Public opinion regarding the CRC screening programme

People reported support for the CRC screening programme (M = 4.12, SD = .69) and to have a positive personal and collective attitude towards it (M = 4.06, SD = .76 and M = 4.07, SD = .60, respectively; Table 2).

Table 2 Public opinion regarding CRC screening and public perceptions of cancer, preventive health screening, own health, and the government (descriptive statistics)

Public perceptions of cancer, preventive health screening, own health, and the government

Based on reliability analysis, not all composite and scale scores as described in the Method section could be used as intended. Therefore, the items ‘cancer is very serious’ and ‘cancer has major consequences for your life’ were combined as a measure for ‘beliefs concerning cancer severity’. Additionally, the single item that asks about whether the government has a responsibility when it comes to people’s health is used as a measure for ‘beliefs concerning responsibility of the government’.

People believed cancer to be very serious (Table 2), but perceived the chance of getting cancer as neither small nor large and did not worry much about getting it. They had a positive attitude towards preventive health screening and found their health to be important. There is moderate trust in the government’s current policy on protecting and promoting people’s health as well as in national screening programmes specifically. A majority of our study sample sees a responsibility for the government when it comes to people’s health. More than half sees a responsibility in ensuring that people participate in national screening programmes.

Association between public opinion regarding CRC screening and public perceptions of cancer, preventive health screening, own health, and the government

Table 3 shows the results for each of the three final models we analysed, with level of support (model 1), personal attitude (model 2) and collective attitude (model 3) as the three conceptualisations we used of public opinion. Level of support, personal attitude and collective attitude all show a positive association with beliefs related to the perception of cancer as well as to the perception of preventive health screening, own health, and the government. Personal attitude and collective attitude were associated with the same four beliefs: 1. Beliefs concerning cancer severity; 2. Attitude towards preventive health screening; 3. Beliefs concerning the importance of own health; and 4. Trust in government regarding national screening programmes. Level of support was associated with these same four beliefs as well as three additional ones: cancer risk perception, cancer worry/anxiety, and beliefs concerning the effectiveness of preventive health screening. The three final models differ slightly in explained variation, with the model with personal attitude as measure of public opinion having the largest explained variation (76%).

Table 3 Multiple linear regression models a of public opinion regarding CRC screening (level of support, personal attitude, collective attitude) and public beliefs regarding cancer, preventive health screening, own health, and the government b

Discussion

The Dutch public are generally supportive of, and positive about, the CRC screening programme. Their positive attitude towards preventive health screening in general, their perceived seriousness of cancer, their belief of health being important, and their trust in the government regarding national screening programmes are all associated with this positive attitude towards CRC screening. Additionally, the general public see a role for the government in promoting and protecting the public’s health.

Our findings are consistent with earlier research among the eligible CRC screening population into individual perceptions concerning concepts related to CRC screening [12, 15, 17, 43, 48]. This indicates that the opinion concerning CRC screening of people both inside and outside the eligible screening population is associated with a similar set of beliefs. To our knowledge, however, previous studies did not examine the relationship between the perception of CRC screening and the perceptions concerning cancer, preventive health screening, own health and the government all in one study. The set of beliefs that people have concerning a certain topic can provide them with a mental framework that is used as a ‘short-cut’ in forming an opinion about this topic by guiding the use and interpretation of information [30, 34, 40, 41, 50, 51]. This ‘short-cut’ is often very useful in daily life for quickly assessing how one thinks and feels about something, such as CRC screening. However, it could also lead to the public not noticing or remembering possibly relevant information because it does not fit well with their existing perceptions [30, 34, 39, 40, 51]. Following this rationale, regarding CRC screening, it could be that the public, given that they believe cancer to be serious and preventive health screening to be positive, are more likely to notice and remember information that confirms those beliefs, such as information about the possible benefits of CRC screening. Additionally, the public could be less likely to notice and remember information that does not confirm those beliefs, such as information about the possible downsides of CRC screening. They could also be more likely to interpret information about the possible downsides as not being downsides, or to discount their value, again confirming their existing belief that screening for cancer is something positive [39, 40, 51]. Thus, the set of beliefs that the public have concerning CRC screening could result in an overemphasis on the possible benefits of CRC screening and a lack of awareness and understanding of the possible downsides of CRC screening. This could affect the extent to which public opinion concerning CRC screening is well-informed [39, 40, 51]. Earlier research showed a lack of awareness of the possible harms and risks of CRC screening among the Dutch public [37]. The public being well-informed is of relevance because it is considered important that people make a well-informed personal decision concerning CRC screening [23, 26, 27] and public opinion might affect people’s personal view and decision concerning CRC screening [28,29,30,31]. Therefore, future research could focus on examining whether public perceptions regarding subjects related to CRC screening are associated with how well-informed the public are about CRC screening.

Based on previous research, we used three different measures of public opinion in our study: 1. Level of support; 2. Personal attitude; and 3. Collective attitude. When using level of support as a measure, we found three additional beliefs to be significantly associated with public opinion (cancer risk perception, cancer worry/anxiety, and beliefs concerning the effectiveness of preventive health screening) compared to when personal attitude or collective attitude was used as a measure. This difference might be because we assessed level of support using a single-item question, whereas we assessed personal and collective attitude using a six-item scale. In general, multi-item measures are considered to be more reliable and capable of capturing a broader meaning of a concept [63, 64], suggesting that personal attitude or collective attitude would be better measures to use. However, single-item measures could be more appealing for participants to answer, which could increase survey effectiveness [63], and they have been shown to sometimes have the same predictive validity as multi-item measures [63, 64]. In our study, using level of support as a measure does show a general similar result regarding public opinion to when personal or collective attitude was used as a measure. Further research is needed to examine the question of whether level of support, personal attitude or collective attitude would be best to use as a measure of public opinion. Additionally, we believe clearer definitions of conceptual terms such as ‘opinion’, ‘attitude’, ‘perception’ and ‘beliefs’ are also of importance, as these are often used interchangeably, making further theory development more complex.

Although it is fairly common practice to use a random sample of members of a national internet panel as participants, this might limit generalizability since people who participate in online research may differ in significant ways from people who do not participate in online research. Additionally, while we had a decent response rate of 56%, people were more likely to have participated in our online survey when older, higher educated or male. Furthermore, we are aware that the CRC screening uptake of 73% in the Netherlands [10] is relatively high compared to other countries, which might limit generalizability as well. However, although the participation rates in other countries are typically lower, a generally positive perception of CRC screening among the eligible screening population is also found in these other countries [11,12,13,14,15,16,17]. A strength of our study is that we examined the possible association between public opinion concerning CRC screening and public perceptions regarding various concepts related to CRC screening, providing a more comprehensive portrayal of the set of beliefs that may be relevant.

Conclusion

Public opinion regarding the Dutch CRC screening programme is positive and supportive. Earlier research showed a lack of awareness of the possible harms and risks of CRC screening among the public [37], which may, in part, explain why the public are so positive. Additionally, our current study shows that the public’s trust in the government and their perceptions regarding the seriousness of cancer, preventive health screening and the importance of one’s health are important for how the public view CRC screening. When informing the public about CRC screening it would be useful to be aware of the fact that the public are positive about CRC screening, and that they are likely to process information about CRC screening in such a way that it confirms their existing beliefs of cancer being serious and preventive screening being positive [39, 40, 51]. This means that the public are likely to be inclined to notice and recall information about the possible benefits of CRC screening better than information about its possible downsides, which would thus contribute to a positive perception of CRC screening. Measures should be taken to ensure that the public are truly aware of both the possible benefits and the possible downsides of CRC screening in order to form a well-founded opinion.

Abbreviations

CRC:

Colorectal cancer screening

ISCED:

International standard classification of education

ISO:

International organisation for standardization

References

  1. World Health Organization. Globocan 2012: Estimated cancer incidence, mortality and prevalence worldwide in 2012. [http://gco.iarc.fr/today/home]. Accessed 26 Oct 2018.

  2. Integraal Kankercentrum Nederland. Nederlandse Kankerregistratie [Dutch Cancer Registration]. [http://www.cijfersoverkanker.nl] Accessed 2 Feb 2017.

  3. Hardcastle JD, Chamberlain JO, Robinson MH. Randomised controlled trial of faecal-occult-blood screening for colorectal cancer. Lancet. 1996;348(9040):1472–7.

    Article  CAS  Google Scholar 

  4. Kronborg O, Fenger C, Olsen J, Jorgensen OD, Sondergaard O. Randomised study of screening for colorectal cancer with faecaloccult-blood test. Lancet. 1996;348(9040):1467–71.

    Article  CAS  Google Scholar 

  5. Mandel JS, Bond JH, Church TR. Reducing mortality from colorectal cancer by screening for fecal occult blood. Minnesota Colon Cancer control study. N Engl J Med. 1993;328(19):1365–71.

    Article  CAS  Google Scholar 

  6. Winawer SJ, Zauber AG, Ho MN, et al. Prevention of colorectal cancer by colonoscopic polypectomy. The National Polyp Study Workgroup. N Engl J Med. 1993;329(27):1977–81.

    Article  CAS  Google Scholar 

  7. Commission of the European Communities. Council Recommendation on Cancer Screening. In., vol. 2003/0093. Brussels: Commission of the European Communities; 2003.

    Google Scholar 

  8. Sung JJ, Lau JY, Young GP. Asia Pacific consensus recommendations for colorectal cancer screening. Gut. 2008;57(8):1166–76.

    Article  CAS  Google Scholar 

  9. Bibbins-Domingo K, Grossman DC, Curry SJ, Davidson KW, Epling JW Jr, Garcia FA, Gillman MW, Harper DM, Kemper AR, Krist AH, et al. Screening for colorectal Cancer: US preventive services task force recommendation statement. Jama. 2016;315(23):2564–75.

    Article  CAS  Google Scholar 

  10. MEv L, Toes E, VMCM S, AJv V, Dekker E, Kuipers EJ, et al. Landelijke monitoring bevolkingsonderzoek darmkanker [national monitoring colorectal cancer screening programme] - monitor 2015 - Erasmus MC / NKI-AVL. Bilthoven: Rijksinstituut voor Volksgezondheid en Milieu; 2016.

    Google Scholar 

  11. Cullati S, Charvet-Berard AI, Perneger TV. Cancer screening in a middle-aged general population: factors associated with practices and attitudes. BMC Public Health. 2009;9:118.

    Article  Google Scholar 

  12. Hall NJ, Rubin GP, Dobson C, Weller D, Wardle J, Ritchie M, Rees CJ. Attitudes and beliefs of non-participants in a population-based screening programme for colorectal cancer. Health Expect. 2013;18:1645–57.

    Article  Google Scholar 

  13. Murphy CC, Vernon SW, Haddock NM, Anderson ML, Chubak J, Green BB. Longitudinal predictors of colorectal cancer screening among participants in a randomized controlled trial. Prev Med. 2014;66:123–30.

    Article  Google Scholar 

  14. Smith SK, Simpson JM, Trevena LJ, McCaffery KJ. Factors associated with informed Decisions and participation in bowel Cancer screening among adults with lower education and literacy. Med Decis Mak. 2014;34(6):756–72.

    Article  Google Scholar 

  15. Schwartz LM, Woloshin S, Fowler FJ, Welch HG. Enthusiasm for cancer screening in the United States. J Am Med Assoc. 2004;291(1):71–8.

    Article  CAS  Google Scholar 

  16. Waller J, Osborne K, Wardle J. Enthusiasm for cancer screening in Great Britain; a general population study. Br J Cancer. 2015;112:562–6.

    Article  CAS  Google Scholar 

  17. McCaffery K, Wardle J, Waller J. Knowledge, attitudes, and behavioral intentions in relation to the early detection of colorectal cancer in the United Kingdom. Prev Med. 2003;36(5):525–35.

    Article  Google Scholar 

  18. Gezondheidsraad [Health Council of the Netherlands]. Bevolkingsonderzoek naar darmkanker. Den Haag: Gezondheidsraad; 2009.

    Google Scholar 

  19. Gray JA, Patnick J, Blanks RG. Maximising benefit and minimising harm of screening. BMJ (Clinical research ed). 2008;336(7624):480–3.

    Article  CAS  Google Scholar 

  20. Saquib N, Saquib J, Ioannidis JP. Does screening for disease save lives in asymptomatic adults? Systematic review of meta-analyses and randomized trials. Int J Epidemiol. 2015;44(1):264–77.

    Article  Google Scholar 

  21. Fitzpatrick-Lewis D, Ali MU, Warren R, Kenny M, Sherifali D, Raina P. Screening for colorectal Cancer: a systematic review and meta-analysis. Clin Colorectal Cancer. 2016;15(4):298-13.

    Article  Google Scholar 

  22. Hoffman RM, Lewis CL, Pignone MP, Couper MP, Barry MJ, Elmore JG, Levin CA, Van Hoewyk J, Zikmund-Fisher BJ. Decision-making processes for breast, colorectal, and prostate cancer screening: the DECISIONS survey. Med Decis Making. 2010;30(5 Suppl):53s–64s.

    Article  Google Scholar 

  23. Irwig L, McCaffery K, Salkeld G, Bossuyt P. Informed choice for screening: implications for evaluation. Bmj. 2006;332(7550):1148–50.

    Article  Google Scholar 

  24. Jepson RG, Hewison J, Thompson A, Weller D. Patient perspectives on information and choice in cancer screening: a qualitative study in the UK. Soc Sci Med. 2007;65(5):890–9.

    Article  Google Scholar 

  25. Johansson M, Brodersen J. Informed choice in screening needs more than information. Lancet. 2015;385(9978):1597–9.

    Article  Google Scholar 

  26. Rimer BK, Briss PA, Zeller PK, Chan EC, Woolf SH. Informed decision making: what is its role in cancer screening? Cancer. 2004;101(5 Suppl):1214–28.

    Article  Google Scholar 

  27. Marteau TM, Dormandy E, Michie S. A mesaure of informed choice. Health Expect. 2001;4(2):99–108.

    Article  CAS  Google Scholar 

  28. Park HS, Smith SW. Distinctiveness and influence of subjective norms, personal descriptive and injunctive norms, and societal descriptive and injunctive norms on behavioral intent: a case of two behaviors critical to organ donation. Hum Commun Res. 2007;33:194–218.

    Article  Google Scholar 

  29. Mutz DC. Impersonal influence: how perceptions of mass collectives affect political attitudes. New York: Cambridge University Press; 1998.

    Book  Google Scholar 

  30. Fiske ST, Taylor SE. Social cognition 2nd edn. New York: McGraw-Hill; 1991.

    Google Scholar 

  31. Noelle-Neumann E. The spiral of silence: a theory of public opinion. J Commun. 1974;24:43–51.

    Article  Google Scholar 

  32. Soroka S, Maioni A, Martin P. What moves public opinion on health care? Individual experiences, system performance, and media framing. J Health Polit Policy Law. 2013;38(5):893–920.

    Article  Google Scholar 

  33. Bleackley A, Hennessy M, Fishbein M. Public opinion on sex education in US schools. Arch Pediatr Adolesc Med. 2006;160:1151–6.

    Article  Google Scholar 

  34. Nisbet M, Markowitz EM. Understanding public opinion in debates over biomedical research: looking beyond political partisanship to focus on beliefs about science and society. PLoS One. 2014;9(2):e88473.

    Article  Google Scholar 

  35. Ho SS, Brossard D, Scheufele DA. Effects of value predispositions, mass media use, and knowledge on public attitudes toward embryonic stem cell research. Int J Public Opin Res. 2008;20(2):171–92.

    Article  Google Scholar 

  36. van den Bruel A, Jones C, Yang Y, Oke J, Hewitson P. People’s willingness to accept overdetection in cancer screening: population survey. BMJ (Clinical research ed). 2015;350:h980.

    Article  Google Scholar 

  37. Douma LN, Uiters E, Timmermans DR. The Dutch public are positive about the colorectal cancer-screening programme, but is this a well-informed opinion? BMC Public Health. 2016;16(1):1208.

    Article  Google Scholar 

  38. Beydoun HA, Beydoun MA. Predictors of colorectal cancer screening behaviors among average-risk older adults in the United States. Cancer Causes Control. 2008;19(4):339–59.

    Article  Google Scholar 

  39. Glik DC. Risk communication for public health emergencies. Annu Rev Public Health. 2007;28:33–54.

    Article  Google Scholar 

  40. Chong D, Druckman JN. Framing theory. Annu Rev Polit Sci. 2007;10(1):103–26.

    Article  Google Scholar 

  41. Kunda Z: Social cognition: making sense of people: MIT press; 1999.

    Google Scholar 

  42. Clements B. Exploring public opinion on the issue of climate change in Britain. Br Polit. 2012;7(2):183–202.

    Article  Google Scholar 

  43. Smith SK, Kearney P, Trevena L, Barratt A, Nutbeam D, McCaffery KJ. Informed choice in bowel cancer screening: a qualitative study to explore how adults with lower education use decision aids. Health Expect. 2014;17(4):511–22.

    Article  Google Scholar 

  44. Vrinten C, Waller J, von Wagner C, Wardle J. Cancer Fear: Facilitator and Deterrent to Participation in Colorectal Cancer Screening. Cancer Epidemiol Biomarkers Prev. 2015;24(2):400-05.

    Article  Google Scholar 

  45. de Haan MC, de Wijkerslooth TR, Stoop E, Bossuyt P, Fockens P, Thomeer M, Kuipers EJ, Essink-Bot ML, van Leerdam ME, Dekker E, et al. Informed decision-making in colorectal cancer screening using colonoscopy or CT-colonography. Patient Educ Couns. 2013;91(3):318–25.

    Article  Google Scholar 

  46. Gordon NP, Green BB. Factors associated with use and non-use of the fecal immunochemical test (FIT) kit for colorectal Cancer screening in response to a 2012 outreach screening program: a survey study. BMC Public Health. 2015;15:546.

    Article  Google Scholar 

  47. Solmi F, Von Wagner C, Kobayashi LC, Raine R, Wardle J, Morris S. Decomposing socio-economic inequality in colorectal cancer screening uptake in England. Soc Sci Med. 2015;134:76–86.

    Article  Google Scholar 

  48. Wvd W, Timmermans DR, Beaujean DJ, Oudhoff J, van Steenbergen JE. Monitoring the level of government trust, risk perception and intention of the general public to adopt protective measures during the influenza A (H1N1) pandemic in The Netherlands. BMC Public Health. 2011;11:575.

    Article  Google Scholar 

  49. Siegrist M, Cvetokovich G. Perception of hazards: the role of social trust and knowledge. Risk Anal. 2000;20(5):713–9.

    Article  CAS  Google Scholar 

  50. Goffman E. Frame analysis: an essay on the Organization of Experience. New York: Harper & Row; 1974.

    Google Scholar 

  51. St Pierre M, Hofinger G, Buerschaper C, Simon R. Information processing and mental models: world views. In: Crisis management in acute care settings human factors and team psychology in a high-stakes environment 2edn. Berlin Heidelberg: Springer International Publishing; 2011. p. 101–19.

    Chapter  Google Scholar 

  52. Hoffman LH, Glynn CJ, Huge ME, Sietman RB, Thomson T. The role of communication in public opinion processes: understanding the impacts of intrapersonal, media, and social filters. Int J Public Opin Res. 2007;19(3):287–312.

    Article  Google Scholar 

  53. van Dam L, Korfage IJ, Kuipers EJ, Hol L, van Roon AH, Reijerink JC, van Ballegooijen M, van Leerdam ME. What influences the decision to participate in colorectal cancer screening with faecal occult blood testing and sigmoidoscopy? Eur J Cancer. 2013;49(10):2321–30.

  54. Weinman J, Petrie KJ, Moss-Morris R, Horne R. The illness perception questionnaire: a new method for assessing illness perceptions. Psychol Health. 1996;11:431–46.

    Article  Google Scholar 

  55. Jacobs LA. Health beliefs of first-degree relatives of individuals with colorectal cancer and participation in health maintenance visits: a population-based survey. Cancer Nurs. 2002;25(4):251–65.

    Article  Google Scholar 

  56. Brewer NT, Chapman GB, Gibbons FX, Gerrard M, McCaul KD, Weinstein ND. Meta-analysis of the relationship between risk perception and health behavior: the example of vaccination. Health Psychol. 2007;26(2):136–45.

    Article  Google Scholar 

  57. Janssen E, van Osch L, de Vries H, Lechner L. Measuring risk perceptions of skin cancer: reliability and validity of different operationalizations. Br J Health Psychol. 2011;16(Pt 1):92–112.

    Article  Google Scholar 

  58. Champion VL, Skinner CS. A breast cancer fear scale: psychometric development. J Health Psychol. 2004;9:753–62.

    Article  Google Scholar 

  59. Lumpkins C, Cupertino P, Young K, Daley C, Yeh H, Greiner K. Racial/ethnic variations in colorectal Cancer screening self-efficacy, fatalism and risk perception in a safety-net clinic population: implications for tailored interventions. J Community Med Health Educ. 2013;3:11284.

  60. Ware JE Jr, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992;30(6):473–83.

    Article  Google Scholar 

  61. Dekker P, de Ridder J, Gude R. Burgerperspectieven [citizen perspectives] 2014/3. Den Haag: Sociaal Cultureel Planbureau; 2014.

    Google Scholar 

  62. CBS [Statistics Netherlands]. MOA Golden Standard. [www.moaweb.nl/services/services/gouden-standaard.html] Accessed 9 Apr 2015.

  63. Hoeppner BB, Kelly JF, Urbanoski KA, Slaymaker V. Comparative utility of a single-item versus multiple-item measure of self-efficacy in predicting relapse among young adults. J Subst Abus Treat. 2011;41(3):305–12.

    Article  Google Scholar 

  64. Diamantopoulos A, Sarstedt M, Fuchs C, Wilczynski P, Kaiser S. Guidelines for choosing between multi-item and single-item scales for construct measurement: a predictive validity perspective. J Acad Mark Sci. 2012;40:434–49.

    Article  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This research was funded by the Strategic Programme of the National Institute for Public Health and the Environment (RIVM).

Availability of data and materials

The data supporting the conclusions of this article are included within the article and its additional files.

Author information

Authors and Affiliations

Authors

Contributions

All authors made significant contributions to the conception of this study. LD analysed the data and drafted the manuscript with contributions from EU and DT. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Linda N. Douma.

Ethics declarations

Ethics approval and consent to participate

The Medical Ethics Review Committee of VU University Medical Center (IRB00002991, FWA00017598) has declared that the Medical Research Involving Human Subjects Act (WMO) does not apply to this study and an official approval of this study by their committee is not required. According to ISO 26362 certificate regulation, people give written consent when signing up to be a member of an online research panel as well as when agreeing to participate in any specific survey sent to them.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional file

Additional file 1:

Appendix A. Descriptive statistics for all initial single items used to measure public opinion regarding CRC screening and public perceptions of cancer, preventive health screening, own health, and the government. (DOCX 20 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Douma, L.N., Uiters, E. & Timmermans, D.R.M. Why are the public so positive about colorectal cancer screening?. BMC Public Health 18, 1212 (2018). https://doi.org/10.1186/s12889-018-6106-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12889-018-6106-1

Keywords