Knowledge, Attitudes and Perceptions of Colorectal Cancer Screening in Brazzaville ()
1. Context and Justification
Colorectal cancer is the third leading cause of cancer death worldwide, responsible for approximately 935,173 deaths in 2020, accounting for 9.4% of all cancer-related deaths. It also ranks third among the most common cancers, with 1.9 million new cases in 2020 worldwide [1].
In Africa, data on the prevalence of CRC are patchy. Ouattara et al. in Burkina Faso reported a hospital frequency of 2.2% [2]. According to Globocan 2022 data, CRC in Congo represents the third incident cancer in men after that of the prostate and liver; in women, it is the third most common cancer after breast and cervical cancer, with an incidence of 6.4% and 5% respectively. Hospital studies show almost similar frequencies, oscillating between 2 and 6% of hospitalizations, 40% of all cancers of the digestive tract, and above all, an increase in frequency over time, particularly in young subjects [1] [3]-[5].
In Congo, hospital studies show frequencies varying between 2% and 6% of hospitalizations, accounting for 40% of all digestive tract cancers, with an increasing frequency, particularly among young people [1] [3]-[5].
In almost 90% of cases, it is a tumor developed from a polyp. The evolution of the polyp into a malignant tumor averages five years, highlighting the possibility of early diagnosis [6]. Age, habits and lifestyle, diet, and genetic factors are the main risk factors [7]. However, in 10% of cases, CRCs occur in a family context [8]. Colonoscopy is the reference examination for diagnosing and treating early forms [9]. Despite significant therapeutic progress, the five-year relative survival rate remains low, with most diagnoses made at an advanced stage [1] [10] [11]. However, it has been shown that five-year survival is significantly better when the diagnosis is early [12]. On the other hand, knowledge of medium, high, and very high-risk groups enables better organization of screening [13]. CRC screening has proven beneficial in reducing incidence and mortality in randomized controlled trials. Currently, some countries, like France, have regular organized screening [14]. The organization of regular screening, whether individual or mass, requires a good understanding of the pathology within the population. With this approach, we conducted this work to assess the overall level of knowledge about colorectal cancer and to raise awareness among the Congolese population about the benefits of CRC screening.
2. Patients and Methods
This cross-sectional descriptive study of the KAP type (knowledge, attitudes, perceptions) was conducted in Brazzaville from June 1 to October 31, 2022. All volunteers present on the day of the survey were included in the study.
But we excluded specialist doctors involved in the management of CRC (gastroenterologists, digestive surgeons, oncologists, radiologists, and anatomo-pathologists).
The general study population was the population of Brazzaville. The chosen target population was made up of workers in the city of Brazzaville.
We conducted convenience, non-probability cluster sampling. The minimum sample size was calculated from the Schwartz formula, taking the theoretical proportion 59.9% reported by a similar study conducted in Malaysia, in the absence of local data. This percentage corresponds to the proportion of people with good knowledge of CRC and risk factors in this study. The sample size thus calculated was 382 participants. With a forecast refusal to participate rate of 10%, the minimum final sample size was set at 420 participants.
Among the city’s public and private companies, we chose 21 structures located within a 3 km radius of the Brazzaville University Hospital. These were companies specializing in the fields of health, communication, education, aviation, insurance and finance (banks).
We sent letters to the 21 structures selected to request that the survey be carried out in their companies. The final choice of companies was dictated by the favorable response from those responsible. We have therefore included the 11 structures that responded favorably, and established a timetable for passing through the different structures, taking into account the availability of the different administrations.
The work consisted of carrying out an assessment of participants’ knowledge of the CCR, their perceptions and their practices. To do this, we developed a questionnaire that we evaluated through a pilot survey at the Brazzaville University Hospital. The questionnaire was submitted to volunteers chosen at random from visitors, patients and passers-by. The comments made by the participants allowed us to amend the questionnaire to make it more understandable and clear.
The investigation itself took place in two stages at the different sites. We first assessed the participants through the questionnaire, then a 20-minute conference was presented to the participants on CRC, explaining the signs of the disease, risk factors, treatments, screening, etc.
No remuneration was expected from either party.
The variables studied were socio-demographic (sex, age, profession, level of education, place of residence, socio-economic level, lifestyle, including consumption of tobacco, alcohol, fruits, vegetables, and meat), sources of information on CRC, knowledge of colonoscopy, means of screening for the disease, attitudes (consulting a health professional in the event of symptoms, attitude towards a diagnosed person, participation in awareness-raising, participation in screening, reasons for refusing screening), and perception-related variables (target population of CRC, such as the poor, the rich, or everyone; possibility of disease transmission through direct human contact; severity of the disease; possibility of recovery; usefulness of screening).
Variables such as religion and level of education were included because belonging to a religion sometimes leads to the adoption of certain lifestyles or attitudes which can influence the treatment of certain illnesses. In the case of CRC, for example, denial of risk factors can make a patient reluctant to undergo screening. For the level of education we wanted to see if this could contribute to facilitating awareness, or if other factors could interfere. Certain diets being known to promote CRC, we included this variable in order to observe whether knowledge of this information influenced the eating habits of informed people.
In order to evaluate the knowledge, attitudes and perceptions of participants on colorectal cancer and its screening, we used a rating grid, in which the rating of the variables was done as follows: for each correct answer to a question, one point was awarded and no points for each wrong answer. When the next answer was wrong, one point was deducted. This is to avoid random answers. This rating system allowed us to define two levels of evaluation:
The participants’ knowledge was considered sufficient when the total points were ≥9 and insufficient when <9;
Participants’ attitudes and practices were deemed appropriate when the total points were ≥3 and unsuitable when <3;
Participants’ perceptions were deemed appropriate when the total points were ≥3 and unsuitable when <3.
The data for this study were entered into the Kobo Collect software. A database was generated to process and codify the variables. Statistical analyses were conducted using SPSS version 23 software. A flat sorting of the database was initially carried out, then the responses were grouped according to the three groups of items in question (knowledge, attitudes, perceptions).
Quantitative variables were expressed as means with standard deviations, while qualitative variables were expressed as percentages or numbers.
A univariate analysis was conducted to study the correlation, crossing the variables of interest with the explanatory sociodemographic variables.
The odds ratio (OR) with 95% confidence intervals was estimated to assess the strength of the association between the variable of interest and the explanatory variable. Pearson’s chi-square test was used for comparing proportions. When the expected number was less than 5, the Fisher Exact test was used. The significance threshold was set at 5%. Approval from the health science research ethics committee (CERSSA) was obtained before conducting this study under number N˚0042/ MRSIT/IRSSA/CERSSA.
Operational definitions
Knowledge: it is a set of facts, information or intellectual abilities accumulated over time and which is used as a skill in several areas of life. Knowledge is acquired, understood and retained through study or practice.
Attitude: it is a way of conducting oneself or behaving in a given situation.
Perception: this word comes from “percipere”, which means “to grasp by the senses”. It therefore falls within the cognitive domain in which an event or an object present in the immediate environment of an individual is represented to him in his internal psychological activity, in principle in a conscious manner. It is an intuition, an idea or a more or less clear way of understanding a phenomenon.
Socio-economic level: different items are used by the National Council of Statistics, the Economy and the Environment to evaluate it, in particular, the type of housing, monthly income. We used items relating to the type of housing, ownership of certain real estate, type of profession, and monthly income, and we adopted the one based on monthly household income. These items were assigned a rating, allowing a score to be obtained from which participants were classified into three categories: low socio-economic level (between 10 and 14), medium (15 and 19) or high (20 and 23).
3. Results
To carry out this work, we sent requests to 21 public and private organizations involved in health and other areas. Of these, 11 responded favorably, including eight health organizations, resulting in a participation rate of about 50%. A total of 829 people were present during the survey, but only 803 completed the questionnaire, thus forming our study population.
Population characteristics
The study population consisted of 386 men (48%) and 417 women (52%), i.e. a sex ratio of 0.9. The average age of participants was 33.5 ± 10 years, ranging from 18 to 67 years. The most represented age group was 18 to 39 years old (n = 326, 40.6%). There were 231 (28.8%) health personnel and 572 (71.2%) from other fields. Among these groups, seven (0.9%) participants had never attended school. Of those who attended school, the majority had a high level of education (university n = 534, 66.5%; secondary n = 207, 25.8%). The socio-economic level was low in 34% of cases, average in 52%, and high in 14%. Ninety-eight participants (12.2%) did not practice any religion. Among the religious participants, 689 (86%) were Christians. All participants lived in Brazzaville, with an uneven distribution across the city’s districts. Regarding lifestyle, risk factors for CRC were identified, such as alcohol consumption (44.5%), tobacco use (9.2%), and regular consumption of red meat (42.2%). However, protective habits against CRC were also observed, though in lower proportions, including regular consumption of fruits (17.2%) and vegetables (27.6%), and regular physical activity (44.7%). Table 1 shows the population distribution across different sites.
Table 1. Distribution of participants according to the selected structures.
Health facilities Public/private |
Number of participants |
Brazzaville University Hospital Center |
Public institution |
278 |
National Blood Transfusion Center |
Public institution |
29 |
Talanga referral hospital |
Public institution |
84 |
Central Hospital of the Armed Forces Pierre Mobengo |
Public institution |
69 |
Blanche Gomes Mother and Child Hospital |
Public institution |
84 |
TRIOS medical analysis laboratory |
Private institution |
38 |
COGEMO medical clinic |
Private institution |
32 |
National Public Health Laboratory |
Public institution |
60 |
Non-sanitary structures Public/private |
Number of participants |
AERCO |
Public institution |
65 |
Congo Telecom |
Public institution |
33 |
Pensioners and Civil Servants Fund |
Public institution |
31 |
Knowledge, attitudes and perception of the CCR
All patients had already heard of CRC. The main sources of information were health personnel (78.2%) and the internet (52.6%). Other, less common sources were television, radio, word of mouth, or brochures. The site of the disease was known by 87% of participants. Among the known protective factors, 2.7% (n = 22) of participants cited a diet rich in vegetables and 12% (n = 96) the daily practice of physical exercise. Age was the best known risk factor (43%). The main signs of the disease, anal bleeding and transit disorders, were known by 7% and 21% of participants respectively. Approximately 48% of participants cited colonoscopy as a means of diagnosing CRC. However, 66% (530/803) of participants did not know any screening method. The main responses to the questionnaire are shown in Tables 2-8.
Table 2. Distribution of participants according to knowledge of the origin and headquarters of the CCR.
Variables |
n |
% |
Causes or origins of colorectal cancer |
|
|
Natural disease |
742 |
92.4 |
Spell |
82 |
10.2 |
Divine Punishment |
83 |
10.3 |
Don’t know |
22 |
2.7 |
CCR headquarters |
|
|
Bowel disease |
705 |
87.8 |
Cervical disease |
47 |
5.8 |
Heart disease |
28 |
3.4 |
Prostate disease |
16 |
2 |
Bladder disease |
7 |
1 |
Table 3. Distribution of participants according to knowledge of the signs of CRC.
Variables |
n |
% |
Physical asthenia |
4 |
0.5 |
Anemia |
40 |
4.9 |
Bleeding |
53 |
6.6 |
Vomiting |
9 |
1.1 |
Transit disorders* |
170 |
21.2 |
Abdominal pain |
108 |
13.4 |
Weight loss |
76 |
9.5 |
Anal pain |
42 |
5.2 |
I don’t know |
406 |
50.6 |
*: constipation (n = 90), diarrhea (n = 18), alternating diarrhea-constipation (n = 13).
Table 4. Distribution of participants according to knowledge of the CCR FDRs.
Variables |
n |
% |
Age |
346 |
43.1 |
Smoking |
317 |
39.5 |
Genetic predispositions |
308 |
38.4 |
Diet rich in animal fat |
245 |
30.5 |
Alcoholism |
230 |
28.6 |
Diet rich in red meat |
157 |
19.6 |
Ultraviolet exposure |
154 |
19.2 |
Physical/chemical pollutants |
126 |
15.7 |
Overweight/Obesity |
116 |
14.4 |
Table 5. Distribution of participants according to knowledge of CRC diagnosis by colonoscopy.
Variables |
n |
% |
Knowledge of colonoscopy |
|
|
Yes |
384 |
47.8 |
No |
419 |
52.2 |
Performing a colonoscopy at home (n = 384) |
|
|
Yes |
16 |
4.2 |
No |
368 |
95.8 |
Carrying out the colonoscopy in the surrounding (n = 384) |
|
|
Yes |
65 |
16.9 |
No |
319 |
83.1 |
Reason for carrying out in the surrounding (n = 81) |
|
|
Diagnosis |
76 |
92.3 |
Screening |
1 |
1.5 |
I don’t know (in the surrounding) |
4 |
6,2 |
Number of CRCs diagnosed in the family (n = 803) |
|
|
Yes |
39 |
4.9 |
No |
764 |
95.1 |
Relationship (n = 39) |
|
|
1st degree |
20 |
51.3 |
Others |
19 |
48.7 |
Table 6. Distribution of participants according to knowledge of CRC screening tools.
Variables |
n |
% |
Knowledge of colorectal cancer screening methods |
|
|
Yes |
174 |
21.7 |
No |
99 |
12.3 |
I don’t know |
530 |
66 |
Cited screening methods (n = 174) |
|
|
Colonoscopy |
125 |
71 |
Testing for blood in stools |
7 |
4 |
Others |
45 |
25 |
Table 7. Distribution of participants according to attitude towards CRC and its screening.
Variables |
n |
% |
Consult a health professional in case of signs |
|
|
Yes |
708 |
88.2 |
No |
95 |
11.8 |
Attitude towards a person diagnosed with CRC |
|
|
Empathy |
599 |
74.6 |
Avoidance or abandonment |
51 |
6.4 |
Fear |
165 |
20.5 |
Guilt |
8 |
1 |
None |
22 |
2.7 |
Participation in awareness raising through communication |
|
|
Yes |
603 |
75.1 |
No |
200 |
24.9 |
Participation in colonoscopy screening |
|
|
Yes |
47 |
5.8 |
No |
698 |
86.9 |
Reasons for refusing screening |
|
|
Fear |
52 |
5.2 |
Unpleasant |
25 |
3.1 |
Embarrassed |
13 |
1.7 |
No knowledge of screening colonoscopy |
678 |
84.4 |
Table 8. Distribution of participants according to perception of CRC and its screening.
Variables |
n |
% |
Category of people at risk |
|
|
Poor |
40 |
5 |
Rich |
25 |
3.1 |
Common people |
738 |
91.9 |
Risk of getting the disease after direct contact |
|
|
Yes |
4 |
5.7 |
No |
757 |
94.3 |
Severity of the disease and possibility of recovery |
|
|
Malignant disease, curable if detected early |
733 |
91.3 |
Malignant disease, without possibility of cure |
30 |
3.7 |
Mild illness |
3 |
0.4 |
Don’t know |
37 |
4.6 |
Perception of the usefulness of screening |
|
|
Useful |
773 |
96.3 |
Without interest |
30 |
3.7 |
Overall knowledge of CRC and its screening was insufficient in 70.4% (n = 565) of the study population. Attitudes were sufficiently adapted in 55.7% of cases (n = 448). Overall perceptions were sufficiently adapted in 97.3% of cases (n = 781). Sufficient overall knowledge was correlated with sufficiently adapted attitudes and perceptions. Factors associated with knowledge of CRC included young age, higher education level, high socio-economic level, and health professions. Tables 9-12 show the correlations between knowledge and attitudes, and perceptions.
Table 9. Correlation between sociodemographic aspects and overall knowledge of CRC.
|
Knowledge |
OR [IC 95%] |
p-value |
|
≥9 |
<9 |
|
|
Sex |
|
|
|
|
Male |
125 (32.4) |
261 (67.6) |
1.29 [0.95 - 1.75] |
0.101 |
Female |
113 (27.1) |
304 (72.9) |
Age (years) |
|
|
|
0.004 |
18 - 29 |
117 (35,2) |
215 (64.8) |
1 |
|
30 - 39 |
72 (25) |
216 (75.0) |
0.61 [0.43 - 0.87] |
0.006 |
40 - 49 |
23 (20.4) |
90 (79.6) |
0.47 [0.28 - 0.78] |
0.003 |
50 - 59 |
21 (35.6) |
38 (64.4) |
1.02 [0.57 - 1.81] |
0.958 |
60 - 69 |
5 (45.5) |
6 (64.5) |
1.53 [0.46 - 5.13] |
0.530 |
Occupation |
|
|
|
|
Healthcare staff |
120 (51.9) |
111 (48.1) |
4.16 [3.00 - 5.78] |
0.000 |
Non-healthcare staff |
118 (20.6) |
454 (79.4) |
Level of education |
|
|
|
0.002 |
Unschooled |
- |
7 (100) |
- |
0.055 |
Schooled* |
238 (29.9) |
558 (70.1) |
0.15 [0.09 - 0.24] |
0.002 |
Socioeconomic level |
|
|
|
0.000 |
Low |
75 (27.6) |
197 (72.4) |
1 |
|
Average |
95 (22.8) |
321 (77.2) |
0.78 [0.55 - 1.10] |
0.159 |
High |
68 (59.1) |
47 (40.9) |
3.80 [2.41 - 6.00] |
0.000 |
Table 10. Correlation between sociodemographic aspects and overall attitude towards CRC and its screening.
|
Attitudes |
OR [IC 95%] |
p-value |
|
≥3 |
<3 |
|
|
Sex |
|
|
|
|
Male |
215 (55.7) |
171 (44.3) |
0.99 [0.75 - 1.31] |
0.960 |
Female |
233 (55.9) |
184 (44.1) |
Age (years) |
|
|
|
0.893 |
18 - 29 |
190 (57.2) |
142 (42.8) |
1 |
|
30 - 39 |
156 (54.2) |
132 (45.8) |
0.88 [0.64 - 1.21] |
0.444 |
40 - 49 |
64 (56.6) |
49 (43.4) |
0.98 [0.63 - 1.50] |
0.916 |
50 - 59 |
33 (55.9) |
26 (44.1) |
0.95 [0.54 - 1.66] |
0.853 |
60 - 69 |
5 (45.5) |
6 (54.5) |
- |
- |
Occupation |
|
|
|
|
Healthcare staff |
170 (73.6) |
61 (26.4) |
2.95 [2.11 - 4.12] |
0.000 |
Non-healthcare staff |
278 (48.6) |
294 (51.4) |
Level of education |
|
|
|
0.003 |
Unschooled |
5 (71.4) |
2 (28.6) |
1.62 [0.31 - 8.43] |
0.710 |
Schooled* |
443 (55.7) |
353(44.3) |
0.47 [0.27 - 0.82] |
0.000 |
Socioeconomic level |
|
|
|
0.000 |
Low |
132 (48.5) |
140 (51.5) |
1 |
|
Average |
235 (56.5) |
181 (43.5) |
1.38 [1.01 - 1.87] |
0.041 |
High |
81 (70.4) |
34 (29.6) |
2.53 [1.59 - 4.03] |
0.000 |
Table 11. Distribution of participants according to sociodemographic aspects and overall perception of CRC and its screening.
|
Perceptions |
OR [IC 95%] |
p-value |
|
≥3 |
<3 |
|
|
Sex |
|
|
|
|
Male |
377 (97.7) |
9 (2.3) |
1.35 [0.57 - 3.19] |
0.495 |
Female |
404 (96.9) |
13 (3.1) |
Age (years) |
|
|
|
|
18 - 29 |
322 (97.0) |
10 (3.0) |
1 |
0.942 |
30 - 39 |
281 (97.6) |
7 (2.4) |
1.25 [0.47 - 3.32] |
0.658 |
40 - 49 |
110 (97.3) |
3 (2.7) |
1.14 [0.31 - 4.21] |
1.000 |
50 - 59 |
57 (96.6) |
2 (3.4) |
0.89 [0.19 - 4.15] |
0.699 |
60 - 69 |
11 (100.0) |
0 (0.0) |
- |
- |
Occupation |
|
|
|
|
Healthcare staff |
226 (97.8) |
5 (2.2) |
1.38 [0.51 - 3.80] |
0.526 |
Non-healthcare staff |
555 (97.0) |
17 (3.0) |
Level of education |
|
|
|
|
Unschooled |
6 (85.7) |
1 (14.3) |
0.11 [0.01 - 1.04] |
0.135 |
Schooled* |
775 (97.3) |
21 (2.7) |
0.51 [0.11 - 2.37] |
0.311 |
Socioeconomic level |
|
|
|
|
Low |
263 (96.7) |
9 (3.3) |
1 |
0.727 |
Middle |
405 (97.4) |
11 (2.6) |
1.26 [0.52 - 3.08] |
0.662 |
High |
113 (98.3) |
2 (1.7) |
1.93 [0.41 - 9.09] |
0.518 |
*: primary (≥3 = 52 ; <3 = 2), secondary (≥3 = 198; <3 = 9), upper (≥3 = 524 ; <3 = 10).
Table 12. Distribution of participants according to the analysis of the correlation of knowledge, attitudes and perceptions.
|
Knowledge |
OR [IC 95%] |
p-value |
|
≥9 |
<9 |
|
|
Perceptions |
|
|
|
|
≥3 |
238 (100) |
543 (96.1) |
1 |
0.002 |
<3 |
- |
22 (3.9) |
|
|
Attitudes |
|
|
|
|
≥3 |
168 (70.6) |
280 (49.4) |
2.44 [1.77 – 3.38] |
0.000 |
<3 |
70 (29.4) |
285 (50.4) |
|
|
4. Discussion
4.1. Analysis of the Methodology
The sample of our study was not representative of the population because the choice of structures to visit was based on accessibility to our exercise center, the Brazzaville Hospital and University Center, rather than probability rules. However, this choice allowed us to evaluate people assumed to be the most informed, particularly health workers and those with a high level of education. On the other hand, the heterogeneous nature of the study population could reflect the general population. The large number of participants is an advantage for the study. This suggests that future awareness activities could achieve similarly high participation rates. The type of questionnaire used (open and closed questions) may have introduced participant reporting bias, with some data recalled and provided not being precise. Although the reliability of the questionnaire is unknown, adjustments based on recommendations and comments from the pre-test give it an acceptable level of validity. Additionally, this type of questionnaire has been used in similar studies, such as those in Italy in 2008 and Saudi Arabia in 2017 [13] [15].
Despite these limitations, our study provided preliminary data on the knowledge, attitudes, and practices regarding CRC in the population of Brazzaville.
4.2. Sources of Information
Healthcare personnel was the main source of information for more than half of the participants, similar to several studies, including Fenetrier in France (52%), Bernstein et al. in Canada (55%), and Politi et al. (66%) in a multinational CRC survey conducted in 12 European countries [16]-[18]. The second main source of information was the internet, which seems logical in the computer age. It is now very common to use the internet to obtain health information. The first health-related sites appeared in the mid-1990s and, since then, their number has continued to increase. Today, there are several. The internet was the primary source of information for 1165 parents of children attending three public schools in Italy, accounting for 40.8% compared to 15.8% via health personnel [13]. Indeed, the media accounted for 97.5% of the information sources for our study population. In today’s society, the media are the most important means of information, communication, and cultural expression. Active participation in society requires the use of modern media. These tools can increase awareness and citizen participation, thereby improving access to knowledge. The advent of the internet is particularly significant as it provides a broader connection to the world. However, while offering immense possibilities, these information tools also present many dangers, especially for young people [19]. Faced with the multiplicity of media channels and the messages they transmit, questions arise about sorting and the quality of information. The data they present can be factual or fictional. For example, several studies have revealed that the quality of information regarding inflammatory bowel diseases on websites varies considerably [20]-[22]. These findings show that information transmitted to the public must be supervised by health professionals. Today, with the proliferation and dissemination of information sources, there is a risk of overinformation and disinformation.
4.3. Knowledge of Colonoscopy
The insufficient knowledge of colonoscopy (47.8%) is likely due to a lack of awareness among the general population and may also be linked to socio-cultural or religious factors, which can reduce the number of consultations, as observed in 4.2% of cases (16/384). The practice of colonoscopy among our participants’ acquaintances was 16.9%. Our results are lower than those of Bagny et al. in Togo, who reported that 25.1% of their study respondents had requested at least one colonoscopy for colorectal cancer screening. This difference may be explained by the fact that their study involved medical students [23]. On the other hand, 51.3% of our participants have a first-degree family relationship with a parent suffering from colorectal cancer (n = 39). Given the lack of knowledge about risk factors, this should concern health professionals, as it suggests that information is either not being transmitted or is poorly communicated to the parents of the affected individuals, leading to missed screening opportunities. Collecting a family history of cancer helps assess predisposition to certain hereditary cancers. People with a history of colorectal cancer in a first-degree relative have a high risk of developing the disease. This risk is even higher if the parent was diagnosed before age 50 or if more than one first-degree relative is affected [24]. The reasons for increased risk are not clearly identified; cancers can run in families due to hereditary genes, shared environmental factors, or a combination of both [9] [25]-[27].
4.4. Screening Tools
Lack of awareness of colonoscopy as a screening examination (15.6%) was found in the study by Torosien T et al. in Armenia and Fakir et al. in Morocco, who reported awareness rates of 22% and 14.8%, respectively [28] [29]. However, Sessa et al. in Italy and Bulliard et al. in Lausanne reported that 62.7% and 68% of survey respondents were aware of colonoscopy as a screening test for colorectal cancer [15] [30]. Indeed, the practice of colonoscopy as a screening examination is rare, especially in developing countries; Okon et al. in Ivory Coast estimated it at 0.4% compared to 96.5% for diagnostic colonoscopy in 2014 [31]. This is also true for testing for blood in stools, which is poorly known by our study population (0.9% or 7/803) compared to 55% among Italians [15]. Knowledge of these methods is important because they allow mass or individual screening for CRC. Fecal tests (currently immunological tests) are the first choice for CRC screening. They are quick, simple, and painless, based on stool sample analysis. However, they require a colonoscopy if positive.
4.5. Evaluation of Attitudes and Perceptions on Colorectal Cancer
and Its Screening
As colorectal cancer is perceived as a serious condition (91.3%), most participants were willing to consult healthcare professionals if symptoms appeared or persisted (88.2%). This result is similar to findings from a national survey conducted in Quebec [32]. Indeed, the word “cancer” often evokes the idea of death, which may explain the high percentage of volunteers willing to communicate with those around them (75.1%), especially in a community with strong socio-cultural and religious values that advocate empathy, as observed in our study (74.6%).
Indeed, the majority of participants (91.9%) perceive CRC as a serious but potentially curable pathology. They report that CRC is not transmitted by direct contact and is not specific to any social class, affecting both the poor and the rich.
The positive perception of the usefulness of screening in general (96.3%) did not prevent the majority of participants (86.9%) from refusing colonoscopy screening due to a lack of knowledge about the procedure (84.4%). Fear, the main reason for refusal (5.2%), is normal when faced with the unknown. These reasons highlight the importance of effective communication with this under-informed population about screening methods in general and colonoscopy in particular, which is currently the only CRC screening technique available in our country. Colonoscopy is the most reliable test for detecting colon and rectal cancer. It offers a direct view of the colorectal mucosa, allows for the identification of lesions, and enables biopsies to confirm or refute a cancer diagnosis. It has a low rate of complications, such as perforations, hemorrhages, and anesthesia-related issues, which are medically manageable in most cases [33]. A small percentage of participants (3.7%) saw no benefit in screening because they believed a cancer diagnosis was essentially a death sentence. These feelings of fear and condemnation were also found by Al-Azri et al. in the Omani population, in 55.6% and 21.5% of cases [34].
4.6. Overall Assessment of Participants’ Knowledge, Attitudes and Perceptions
After assessment, the population’s level of knowledge was insufficient (29.6%), while attitudes were sufficiently adapted (55.7%), and perceptions were adapted (97.3%). Knowledge was even lower when responding to open-ended questions compared to checking off answers on the questionnaire. The overall knowledge of our study population was lower than in most studies we referenced. However, this can be attributed to the fact that these studies often focused on health workers (medical students, doctors, etc.) [15] [23] [28] [29].
4.7. Analytical Aspects of the Results
After univariate analysis, the right level of knowledge was associated with:
At a young age, particularly between 18 and 49 years, likely due to this age group’s access to new information technologies;
Healthcare personnel play a crucial role in raising awareness and educating the population about health. The message delivered by healthcare professionals can positively impact the population's knowledge of CRC risk and influence access to screening colonoscopy;
Being in school, especially among those with a secondary or higher level of education;
At a high socio-economic level.
Attitudes were influenced by profession, specifically health care professionals, as well as by secondary and higher education levels and medium and high socio-economic status. This may be due to easier access to modern information techniques in these groups.
The study showed a significant association between good knowledge, attitudes, and perceptions of colorectal cancer and its screening. This finding aligns with Yang et al.’s study in China, which demonstrated a positive relationship between these variables in a CRC awareness survey among Guangzhou residents [35]. Good knowledge generally leads to good attitudes and perceptions.
5. Conclusion
Our study was the first in our country to assess the knowledge, attitudes, and perceptions of the general population regarding colorectal cancer. It appears that colorectal cancer is not well known, even among health personnel. Good knowledge, attitudes, and perceptions are closely linked. Therefore, it is necessary to implement awareness and screening activities to promote early diagnosis of colorectal cancer and improve the prognosis within our population. The impact of these activities can be assessed by subsequent similar studies.