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. 2019 Aug 3;55(8):434. doi: 10.3390/medicina55080434

The Web-Based Randomized Controlled Intervention as the Enhancer of Cancer Prevention

Maksymilian Gajda 1,*, Małgorzata Kowalska 1
PMCID: PMC6723358  PMID: 31382569

Abstract

Background and Objectives: Cancer is an unresolved public health issue in society. With the advent of the internet and the development in the technological sector, access to basic health-related information has become more frequent among patients and healthy individuals. The aim of this study is to evaluate the impact of educational intervention on the participant’s willingness to undergo selected medical procedures in case of suspected cancer. Materials and Methods: From 14 May 2015 to 13 November 2016, a total of 1118 who visited the Polish scientific website were enrolled in the ‘Polish Online Randomized Intervention aimed at Neoplasm Avoidance’ (PORINA) and randomized into two groups (educational and control). The original Cancer Knowledge Index (CKI) was used for the evaluation of participants’ cancer-related knowledge. They were asked to declare whether they would consent to undergo selected medical procedures necessary for cancer diagnosis or treatment. Results: Most participants declared their readiness to undergo abdominal ultrasonography, computed tomography, and a nevi excision. The most noticeable changes were found for potential consent to undergo breast fine needle aspiration, mammography and gastroscopy. Conclusions: The level of oncological knowledge has an impact on individual decision to consent to particular medical procedures. Conducted educational intervention has significantly increased the readiness to undergo selected medical procedures.

Keywords: prevention, cancer, web-based intervention, interventional studies, diagnostic procedures uptake

1. Introduction

According to the GLOBOCAN 2018 data, overall cancer incidence and mortality are increasing [1]. The relatively high mortality in Poland accompanied by lower incidence of disease compared to the situation observed in many European Union countries is alarming [1,2]. These circumstances strongly support the need to recognize cancer as a priority. It has been shown that about half of the 11 malignancies that are considered serious health problems can be prevented [3,4]. Early diagnosis of cancer and the implementation of appropriate treatment are determined, inter alia, by the patients’ appropriate level of health-oriented knowledge. Unfortunately, factors such as lack of knowledge, sense of embarrassment, cultural factors, beliefs inconsistent with the scientific facts, as well as common myths hinder prevention campaigns and may significantly delay patient effort in seeking medical advice, diagnosis and treatment [5,6,7,8,9]. There is the need to implement interventional programs aimed at improving knowledge and participation rates in screening for, cancers such as colorectal cancer or melanoma [10,11,12,13,14]. The reason for the need to implement these interventional programs is due to the fact that cancer, remains an important and still unresolved public health issue on a global scale (as evidenced by the previously mentioned increase in negative epidemiological indicators [1,2]). This prompts the search for more effective preventive methods. At the same time, the dynamic development of the new technology sector, including the internet, has provided more frequent source of basic knowledge about health and illness among patients and healthy individuals [15,16]. The capabilities of the Internet are increasingly being used by public health researchers [17]. Improving access to reliable information on cancers, especially their prevention, may be helpful, among others, in promoting healthy behaviors, positively influencing participation in necessary diagnostic tests. The aim of this study is to evaluate the impact of educational intervention on the tendency of the participants to undergo selected medical procedures in case of suspected cancer.

2. Materials and Methods

2.1. General Description of the Study

A more detailed description of PORINA study’s methodology is available in our previous paper on the PORINA study [18]. Moreover, the protocol was extensively described in a doctoral thesis and can be provided on request. Here we present the most important issues necessary to interpret the results related to the aim of this paper.

The study was conducted between 14 May 2015 and 13 November 2016. Individuals who visited one of the polish open-access scientific websites (‘Naukowy.pl’) were asked to participate in this prospective interventional study, the Polish On-line Randomized Intervention aimed at Neoplasm Avoidance (PORINA). We used a friendly advertisement displayed to the all visitors during the assumed study period. They were given all information about the study purposes and the way of conducting the research. Consent to participate in the study was in the electronic form. Voluntary consent and completion of all phases of the study were included among the most important inclusion criteria. Subjects not meeting all of inclusion criteria were not included in the final analysis. A dedicated internet platform was created to allow the study to be conducted (including retrieving informed consent in an electronic form). It allowed participants to be randomized into either control or interventional group. Those assigned to the interventional arm of the study were given the access to educational material, specifically prepared by a physician and were asked to fill the questionnaire before and after they got acquainted with the materials. After viewing the materials, the participants of the study were required to participate in a simple quiz. It enabled us to verify whether they had become acquainted with the educational module. Giving incorrect answers in the quiz made it impossible to complete the education phase and they were asked to get acquainted with the materials again. The control group were not given access to the educational module; they were only asked to fill the questionnaire twice allowing us to successfully validate the questionnaire, as presented in our former paper [18]. Figure 1 presents a simplified flowchart of the study design.

Figure 1.

Figure 1

Summary of the study design and flow.

2.2. Methods

The author’s questionnaire survey prepared for the PORINA study was divided into two parts (i.e., demographical and cancer knowledge), containing only closed-ended questions written in Polish. The educational materials were prepared by the author—a physician who specializes in clinical oncology. The materials were accessible via the study online platform as an 11 min multimedia presentation narrated by the physician or a basic version consisted of text and images. Risk factors and prevention, the role of the alarm symptoms and the recommendations of the European Code Against Cancer were thoroughly discussed in the materials [19]. The original Cancer Knowledge Index (CKI) was used for the evaluation of participants’ cancer-related knowledge. This index was counted based on the responses to a set of questions, with each correct answer assigned 1 point. The adopted way of assigning points led to obtaining the maximum CKI value of 20 for the best and 0 for the worst knowledge. We distinguished three ranges of CKI values. “Low” included scores lower than the value of the first tertile. “Average” score denoted values between the first and second tertile (including their values). “High” scores comprised values above second tertile.

Participants were also asked to declare whether they would consent to undergo a presented list of medical procedures necessary for cancer diagnosis or treatment. Answers given to these questions were our main measures.

2.3. Data Analysis

Given the small size of some subgroups, the values (answers to the questions about preliminary consent to undergo selected medical procedures in cancer diagnosis or treatment) of ‘No’ and ‘I do not know’ were converted to one category of ‘No consent’, while the value ‘Yes’ was assigned to the ‘Consent’ category. This was done for the purposes of statistical analysis. For the same reasons, levels of education were combined in this manner: ‘Primary’ and ‘Secondary’ values were combined to form a single ‘Lower’ category, while both ‘High school’ and ‘High school medical’ were assigned to ‘Higher’ category. When interpreting the results it should be noted that “high school” corresponds to the master degree and above. A similar procedure was adopted for variable representing the place of residence. The two values, ‘Village’ and ‘City described as having ≤100,000 inhabitants’ were combined into one category of ‘≤100,000 inhabitants’, resulting in two categories: ‘≤100,000 inhabitants’ and ‘>100,000 inhabitants’ (in selected analysis).

The R software was used for statistical analysis [20]. The statistical significance threshold was assumed as p-values less than 0.05. The distribution of quantitative variables was assessed using the Shapiro–Wilk and Anderson–Darling tests. Differences between independent groups were assessed by U Mann-Whitney or ANOVA Kruskal–Wallis tests, while for categorical variables χ2 test was used. To evaluate the influence of educational intervention (expressed as changes in consents numbers) the McNemar test was used.

2.4. Ethical Approval

The protocol for this study was approved by the Bioethical Committee of the Medical University of Silesia in Katowice, Poland (KNW/0022/KB1/146/14; 24 December 2014).

3. Results

A total of 1118 participants were enrolled in the PORINA study, while 463 subjects who responded to all questions were included for the final analysis. Members of both study groups were similar in terms of demographics as well as family and individual history of cancer (Table 1).

Table 1.

Descriptive characteristics of subjects in the interventional and control groups.

Group
Quantitative Variables (Median and IQR in the Bracket) Control Intervention p
n = 256 n = 207
Age (years) 31 (22–47) 35 (21–47) 0.9 a
Baseline CKI 14 (12–16) 14 (11–16) 0.2 a
Final CKI 14 (12–16) 17 (15–18) <0.001 a
Categorical variables (%)
Gender Male 39.1 38.2 0.8 b
Female 60.9 61.8
Place of residence with the number of inhabitants Villages 23.4 19.8 0.6 b
Cities ≤100,000 25.0 25.6
>100,000 51.6 54.6
Level of education Primary 4.7 8.2 0.2 b
Secondary 36.3 35.7
High school 51.2 51.7
Higher medical 7.8 4.3
Occupation Other 84.0 83.6 0.9 b
Medical 16.0 16.4
Positive family history of cancer overall No 23.8 28.5 0.3 b
Yes 76.2 71.5
parents No 70.3 73.9 0.4 b
Yes 29.7 26.1
grandparents No 55.1 52.7 0.6 b
Yes 44.9 47.3
siblings No 94.1 96.1 0.4 b
Yes 5.9 3.9
Diagnosis of cancer No 87.9 90.8 0.4 b
Yes 12.1 9.2
Treated oncologically No 89.5 89.9 1 b
Yes 10.5 10.1
Self-declaration of sufficient cancer-related level of knowledge No 78.5 77.8 0.9 b
Yes 21.5 22.2
Self-declaration of willingness to improve the level of cancer-related knowledge No 7.8 7.2 0.9 b
Yes 92.2 92.8

IQR—interquartile range; n—number of subjects; p—statistical significance; a—U Mann–Whitney test; b—χ2 test.

We observed that higher level of education, age of subjects, medical occupation, and history of cancer can significantly affect subjects’ decision to undergo necessary medical procedures. In the case of educational level, the largest differences expressed in percentage changes were found for digital rectal examination ((DRE) almost 60%), colonoscopy (over 40%), and panendoscopy (near 30%). Patients with a cancer diagnosis were more likely to consent for surgery with possible artificial anus than healthy participants. Place of residence as well as gender were not significant determinants of potential consent, except for the abdominal ultrasonography (USG). Detailed results are presented in supplementary Table S1.

Statistical analysis with the McNemar test revealed that educational intervention significantly (p = 0.03) increased (by approximately 6%) in participants who affirmed consents for breast fine needle aspiration (BFNA) and mammography (MMG) (p = 0.004). The respondents stated that they are more likely to agree for endoscopic examination of the upper gastrointestinal tract (increase by 4.8%; p = 0.04). Changes for the rest of the procedures were not statistically significant. Detailed results are presented in Table 2. Detailed analysis showed significant increase in consents for BFNA and MMG procedures among participants who are male; non-medical occupation, without any family, or personal history of cancer (supplementary Table S2). Moreover, the increase of consents for BFNA, in contrary to MMG, was more frequent among lower educated participants and those living in less populated areas. Subjects, who declared their cancer-related knowledge as insufficient and expressed their willingness to improve it, more often consented for MMG and panendoscopy. Some statistically significant improvement should be stressed when it comes to DRE, but only for the participants living in less populated areas and those who are between 24 and 41 years old. No significant advantages were found in relation to agreement for abdominal USG, colonoscopy, CT, and surgical procedures.

Table 2.

Differences in the frequency of declared consent to undergo selected medical procedures depending on (A) value of the Cancer Knowledge Index (CKI) and (B) influence of educational intervention.

A. Potential Agreement (%) Depending on Baseline CKI Value
Medical Procedure Overall Low Medium High p *
(n = 107) (n = 234) (n = 122)
Breast Fine Needle Aspiration 81.9 64.5 84.2 92.6 <0.001
Abdominal ultrasonography 98.1 95.3 98.3 100 <0.05
Mammography 88.1 82.2 86.8 95.9 <0.001
Digital Rectal Examination 79.0 61.7 81.2 90.2 <0.001
Colonoscopy 85.7 69.2 88.9 94.3 <0.001
Bronchoscopy 82.3 67.3 84.6 91.0 <0.001
Gastroscopy 85.3 72.0 87.6 92.6 <0.001
Removal of a nevi from the skin 89.8 74.8 92.7 97.5 <0.001
Computed Tomography 98.5 97.2 98.3 100 NS
Surgical procedure with possible artificial anus 47.3 29.0 51.3 55.7 <0.001
B. Potential Agreement (%) Depending on Study Group
Medical Procedure Intervention p ** Control p **
Initial Final Change Initial Final Change
Breast Fine Needle Aspiration 81.2 87.4 6.2 <0.05 82.4 82.8 0.4 NS
Abdominal ultrasonography 98.1 99.0 0.9 NS 98.0 99.2 1.2 NS
Mammography 86.5 92.8 6.3 <0.01 89.5 91.4 1.9 NS
Digital Rectal Examination 76.3 80.7 4.4 NS 81.2 82.0 0.8 NS
Colonoscopy 83.6 86.5 2.9 NS 87.5 87.5 0.0 NS
Bronchoscopy 80.2 84.5 4.3 NS 84.0 84.8 0.8 NS
Gastroscopy 83.6 88.4 4.8 <0.05 86.7 88.3 1.6 NS
Removal of a nevi from the skin 87.4 88.9 1.5 NS 91.8 93.8 2.0 NS
Computed Tomography 98.1 97.6 −0.5 NS 98.8 98.0 −0.8 NS
Surgical procedure with possible artificial anus 44.9 49.3 4.4 NS 49.2 48.4 −0.8 NS

n—number of subjects; NS—not significant; p *—statistical significance in χ2 test; p **—statistical significance in McNemar test.

4. Discussion

Participation in screening and other diagnostic procedures is one of the forms of preventive action for cancer [7,9]. Unfortunately, downplaying symptoms, and consequently late doctor visits, results in worse prognosis due to the higher stage of disease [21,22]. Published data provides evidence for the link between knowledge of the potential symptoms of cancer, postponement of a doctor’s visit, and survival time [5,23]. Other reasons for delayed counseling include fear of diagnosis, embarrassment, lack of time, age of patients, lack of courage to talk about symptoms during a medical visit, or even the sense of wasting a doctor’s time [7,22]. Meanwhile, current data from published online and traditional studies indicate that it is possible to increase the number of people involved in screening for breast, cervical and colorectal cancers [24,25,26]. Unfortunately, as the results of one study shows, knowledge improvement may not be the only factor responsible for changing a readiness to participate in screening for colorectal cancer [27]. Our study does not bring any additional explanations in this area, as it was not its aim. It has also been shown that online questionnaires with relevant feedback to participants after completion may provide important assistance in deciding to participate in the cancer screening programs [28]. The results of the PORINA study are consistent with published data. Participants subjected to educational intervention more frequently declared their willingness to undergo MMG and breast fine needle biopsy than the control. Bowen et al. (n = 334) reported a relative increase in MMG frequency by 15.8% and breast self-examination by as much as 35.5% [24]. Unfortunately, PORINA has not shown any significant change in readiness to undergo colonoscopy nor DRE. Participation rates in colorectal screening are still too low in many countries [8]. However, data from the 3rd cycle of Health Information National Trends Survey (HINTS 2008) project show a high level of awareness among respondents regarding the effectiveness of individual colorectal cancer diagnostic procedures: 86.7% of them considered colonoscopy while only 5.4% indicated fecal occult blood test as best screening method [29]. Education conducted during the PORINA study has increased the percentage of consent to possible upper gastrointestinal endoscopy uptake. The lowest number of participants declared the consent for surgical procedure with possible stoma forming. However, there was a slight increase in readiness to undergo this procedure, even though it was not statistically significant. As shown in supplementary Table S2, increases in consents gained with educational intervention mostly affected participants who declared an initial consent less often. The youngest participants had highest improve in the level of consents for MMG. In fact, this group is not a target population for MMG screening, due to the potentially of not being familiar with this medical procedure. However, improving preventive awareness at younger age could be beneficial during an appropriate stage of their life.

The results obtained indicated that young people are less likely to undertake majority of cancer-related diagnostic and medical procedures described above. Similarly, subjects with higher level of education and those with positive family history of cancer are more likely to participate in majority of screening tests. Gender and place of residence were not so important to declared decision, except for USG procedure.

4.1. Limitations of the Study

The authors are aware of other limitations of objective assessment of participants’ responses to the possible consent to undergo selected medical procedures, in addition to the inability to generalize the results (e.g., selection bias, especially volunteer bias). First, not every participant could have a sufficient knowledge about how a particular procedure is conducted. Lack of knowledge about the indications for treatment as well as possible complications were demonstrated during HINTS 4 (Health Information National Trends Survey 2014), in which only half of the respondents correctly indicated that the risks associated with screening (colonoscopy, MMG, and cytological screening) are far below the expected benefits [29]. Furthermore, the educational materials presented in the PORINA study did not directly address the individual medical procedures (including the methods, purpose, and possible complications). The importance of early diagnosis was rather emphasized. The results suggest that higher knowledge levels were associated with increased readiness to participate in most of the medical procedures that were included in the questionnaire. The largest diversity of responses was observed with respect to DRE and colonoscopy. In this case, a rare declaration of potential consent coincided with low awareness of the colorectal cancer screening availability.

4.2. The Practical Importance of the Scientific Report

Despite the limitations discussed previously, the results obtained are interesting and promising for public health, especially for institutions involved in the design and evaluation of health programs aimed at prevention. They provide evidence that web-based educational intervention may yield tangible benefits in the form of increased cancer-related knowledge of the internet users in Poland, especially in the field of prevention capabilities. It is the hope of public health professional that increased awareness will encourage early diagnosis and thus provide a more effective treatment and, consequently, a reduction in the specific mortality from cancer in Poland and other countries. More research is needed so that the discussed limitations could be addressed. As a natural consequence of the results obtained so far, the “real-life” impact of web-based intervention on actual participation in screening procedures should be evaluated in randomized controlled trial (not just the declaration of potential consent). Moreover, other possible conditions for avoiding screening (e.g., psychosocial influences) should be investigated.

5. Conclusions

The level of oncological knowledge has an impact on the decision to consent to undergo diagnostic or therapeutic medical procedures in the case of suspected cancer. The web-based educational intervention has significantly increased the frequency of preliminary consents to undergo selected medical procedures which are breast fine needle aspiration, mammography and gastroscopy. Although the potential of supporting cancer prevention with the use of online educational interventions seems promising, this topic requires further research.

Acknowledgments

The authors appreciate the willingness, disinterestedness, and efforts of the volunteers who consented to participate in this study. Moreover, we would like to thank Felix Danso (Cleveland State University) for improvements to the English language of this manuscript.

Supplementary Materials

The following are available online at https://www.mdpi.com/1010-660X/55/8/434/s1. Table S1: Percentage of initial consents for selected medical procedures in relation to particular independent variables and statistical significance of differences in χ2 test, Table S2: Differences in percentages of consents for selected medical procedures in which was observed changes after educational intervention in relation to particular independent variables.

Author Contributions

Conceptualization, M.G., and M.K.; Data curation, M.G.; Formal analysis, M.G. and M.K.; Methodology, M.G. and M.K.; Supervision, M.K. and M.G.; Writing—original draft, M.G.; Writing—review and editing, M.G. and M.K.

Funding

Research was done using the authors’ own resources. APC are financed by statutory funds of the Department of Epidemiology, School of Medicine in Katowice, Medical University of Silesia (Poland).

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  • 1.Bray F., Ferlay J., Soerjomataram I., Siegel R.L., Torre L.A., Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2018;33:2597–2604. doi: 10.3322/caac.21492. [DOI] [PubMed] [Google Scholar]
  • 2.Ferlay J., Soerjomataram I., Dikshit R., Eser S., Mathers C., Rebelo M., Parkin D.M., Forman D., Bray F. Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012. Int. J. Cancer. 2015;136:E359–E386. doi: 10.1002/ijc.29210. [DOI] [PubMed] [Google Scholar]
  • 3.Soerjomataram I., de Vries E., Pukkala E., Coebergh J.W. Excess of cancers in Europe: A study of eleven major cancers amenable to lifestyle change. Int. J. Cancer. 2007;120:1336–1343. doi: 10.1002/ijc.22459. [DOI] [PubMed] [Google Scholar]
  • 4.World Cancer Research Fund/American Institute for Cancer Research . Food, Nutrition, Physical Activity, and the Prevention of Cancer: A Global Perspective. American Institute for Cancer Research; Washington, DC, USA: 2007. [Google Scholar]
  • 5.Quaife S., Forbes L., Ramirez A., Brain K., Donnelly C., Simon A., Wardle J. Recognition of cancer warning signs and anticipated delay in help-seeking in a population sample of adults in the UK. Br. J. Cancer. 2014;110:12–18. doi: 10.1038/bjc.2013.684. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Simon A.E., Waller J., Robb K., Wardle J. Patient delay in presentation of possible cancer symptoms: The contribution of knowledge and attitudes in a population sample from the United Kingdom. Cancer Epidemiol. Biomark. Prev. 2010;19:2272–2277. doi: 10.1158/1055-9965.EPI-10-0219. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Hvidberg L., Pedersen A.F., Wulff C.N., Vedsted P. Cancer awareness and socio-economic position: Results from a population-based study in Denmark. BMC Cancer. 2014;14:581. doi: 10.1186/1471-2407-14-581. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Paddison J.S., Yip M.J. Exploratory study examining barriers to participation in colorectal cancer screening. Aust. J. Rural Health. 2010;18:11–15. doi: 10.1111/j.1440-1584.2009.01114.x. [DOI] [PubMed] [Google Scholar]
  • 9.American Cancer Society . Cancer Facts Figures 2016. American Cancer Society; Atlanta, GA, USA: 2016. [Google Scholar]
  • 10.Katičić M., Antoljak N., Kujundžić M., Stamenić V., Skoko Poljak D., Kramarić D., Stimac D., Strnad Pešikan M., Samija M., Ebling Z. Results of national colorectal cancer screening program in Croatia (2007–2011) World J. Gastroenterol. 2012;18:4300–4307. doi: 10.3748/wjg.v18.i32.4300. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Gimeno-García A.Z., Quintero E., Nicolás-Pérez D., Jiménez-Sosa A. Public awareness of colorectal cancer and screening in a Spanish population. Public Health. 2011;125:609–615. doi: 10.1016/j.puhe.2011.03.014. [DOI] [PubMed] [Google Scholar]
  • 12.Armstrong A., Powell C., Powell R., Hallam N., Taylor J., Bird J., Sarran C., Oliver D. Are we seeing the effects of public awareness campaigns? A 10-year analysis of Breslow thickness at presentation of malignant melanoma in the South West of England. J. Plast. Reconstr. Aesthet. Surg. 2014;67:324–330. doi: 10.1016/j.bjps.2013.12.023. [DOI] [PubMed] [Google Scholar]
  • 13.Kaminski M.F., Wieszczy P., Rupinski M., Wojciechowska U., Didkowska J., Kraszewska E., Kobiela J., Franczyk R., Rupinska M., Kocot B., et al. Increased rate of adenoma detection associates with reduced risk of colorectal cancer and death. Gastroenterology. 2017;153:98–105. doi: 10.1053/j.gastro.2017.04.006. [DOI] [PubMed] [Google Scholar]
  • 14.Rees C.J., Bevan R., Zimmermann-Fraedrich K., Rutter M.D., Rex D., Dekker E., Ponchon T., Bretthauer M., Regula J., Saunders B., et al. Expert opinions and scientific evidence for colonoscopy key performance indicators. Gut. 2016;65:2045–2060. doi: 10.1136/gutjnl-2016-312043. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Bender J.L., Wiljer D., To M.J., Bedard P.L., Chung P., Jewett M.A.S., Matthew A., Moore M., Warde P., Gospodarowicz M. Testicular cancer survivors’ supportive care needs and use of online support: A cross-sectional survey. Support. Care Cancer. 2012;20:2737–2746. doi: 10.1007/s00520-012-1395-x. [DOI] [PubMed] [Google Scholar]
  • 16.Wiljer D., Urowitz S., Barbera L., Chivers M.L., Quartey N.K., Ferguson S.E., To M., Classen C.C. A Qualitative study of an internet-based support group for women with sexual distress due to gynecologic cancer. J. Cancer Educ. 2011;26:451–458. doi: 10.1007/s13187-011-0215-1. [DOI] [PubMed] [Google Scholar]
  • 17.Gajda M., Kowalska M. Internet in interventional studies on cancer prevention (in Polish) Hygeia Public Health. 2016;51:115–123. [Google Scholar]
  • 18.Gajda M., Kowalska M., Zejda J.E. Evaluation of the first Polish web-based intervention aimed at improving cancer prevention (the PORINA Study) Int. J. Environ. Res. Public Health. 2018;15:1167. doi: 10.3390/ijerph15061167. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Schüz J., Espina C., Villain P., Herrero R., Leon M.E., Minozzi S., Romieu I., Segnan N., Wardle J., Wiseman M., et al. European Code against Cancer 4th Edition: 12 ways to reduce your cancer risk. Cancer Epidemiol. 2015;39:S1–S10. doi: 10.1016/j.canep.2015.05.009. [DOI] [PubMed] [Google Scholar]
  • 20.R Core Team A Language and Environment for Statistical Computing. [(accessed on 2 May 2016)]; Available online: http://cran.r-project.org.
  • 21.Hvidberg L., Wulff C.N., Pedersen A.F., Vedsted P. Barriers to healthcare seeking, beliefs about cancer and the role of socio-economic position: A Danish population-based study. Prev. Med. 2015;71:107–113. doi: 10.1016/j.ypmed.2014.12.007. [DOI] [PubMed] [Google Scholar]
  • 22.Al-Azri M., Al-Hamedi I., Al-Awisi H., Al-Hinai M., Davidson R. Public awareness of warning signs and symptoms of cancer in Oman: A community-based survey of adults. Asian Pac. J. Cancer Prev. 2015;16:2731–2737. doi: 10.7314/APJCP.2015.16.7.2731. [DOI] [PubMed] [Google Scholar]
  • 23.Niksic M., Rachet B., Duffy S.W., Quaresma M., Møller H., Forbes L.J. Is cancer survival associated with cancer symptom awareness and barriers to seeking medical help in England? An ecological study. Br. J. Cancer. 2016;115:876–886. doi: 10.1038/bjc.2016.246. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Bowen D.J., Robbins R., Bush N., Meischke H., Ludwig A., Wooldridge J. Effects of a web-based intervention on women’s breast health behaviors. Transl. Behav. Med. 2011;1:155–164. doi: 10.1007/s13142-011-0028-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Lairson D.R., Chung T.H., Smith L.G., Springston J.K., Champion V.L. Estimating development cost of an interactive website based cancer screening promotion program. Eval. Program. Plann. 2015;50:56–62. doi: 10.1016/j.evalprogplan.2015.01.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Marek E., Dergez T., Rebek-Nagy G., Szilard I., Kiss I., Ember I., Gocze P., D’Cruz G. Effect of an educational intervention on Hungarian adolescents awareness, beliefs and attitudes on the prevention of cervical cancer. Vaccine. 2012;30:6824–6832. doi: 10.1016/j.vaccine.2012.09.012. [DOI] [PubMed] [Google Scholar]
  • 27.Steckelberg A., Hülfenhaus C., Haastert B., Mühlhauser I. Effect of evidence based risk information on informed choice in colorectal cancer screening: Randomised controlled trial. BMJ. 2011;342:d3193. doi: 10.1136/bmj.d3193. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Brackett C.D., Kearing S. Use of a web-based survey to facilitate shared decision making for patients eligible for cancer screening. Patient. 2015;8:171–177. doi: 10.1007/s40271-014-0079-7. [DOI] [PubMed] [Google Scholar]
  • 29.National Cancer Institute Health Information National Trends Survey. [(accessed on 31 Janruary 2018)]; Available online: http://hints.cancer.gov.

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