Socio-demographic information
The study enrolled 276 mothers with a of 29.1 years and a standard deviation of 5.8 years. Among these, the majority, 61.6% (170/276), fell within the age bracket of 25 to 29 years and were married, constituting 89.9% of the total. The preeminent occupation among them was that of a housewife, with 76.1% identifying as such. Half of the respondents disclosed having engaged in their inaugural sexual encounter prior to turning 18 years, accounting for 48.2% (133 out of 276) of the sample size Table 1
Table 1. Socio-Demographic Information
Variable
|
Frequency n=276
|
Percentages (%)
|
Age
|
Mean 29.1, SD 5.8
|
Age category (completed years)
|
|
|
25-29
|
170
|
61.6
|
30-39
|
89
|
32.2
|
40-49
|
17
|
6.2
|
Marital Status
|
|
|
Married
|
248
|
89.9
|
Separated/Divorced
|
6
|
2.2
|
Single
|
20
|
7.2
|
Widowed
|
2
|
0.7
|
Level of education
|
|
|
No formal Education
|
65
|
23.6
|
Primary
|
94
|
34.1
|
Secondary
|
87
|
31.5
|
Tertiary
|
30
|
10.9
|
Employment status
|
|
|
Employed
|
28
|
10.1
|
Housewife (married and handling domestic work without any pay)
|
210
|
76.1
|
Self-employed (Working independently or managing their own business)
|
30
|
10.9
|
Student
|
8
|
2.9
|
Religion
|
|
|
Anglican
|
56
|
20.3
|
Catholic
|
180
|
65.2
|
Muslim
|
25
|
9.1
|
Others
|
5
|
1.8
|
Pentecostal
|
10
|
3.6
|
Distance from home to the health facility
|
|
|
<=5kms
|
252
|
91.3
|
>5kms
|
24
|
8.7
|
Age at first sexual intercourse (Complete years)
|
|
|
<18
|
138
|
50.0
|
>18
|
138
|
50.0
|
Number of children
|
|
|
0
|
16
|
5.8
|
1-2
|
133
|
48.2
|
3-4
|
75
|
27.2
|
>4
|
52
|
18.8
|
Prevalence of cervical cancer screening uptake among women attending maternal and child health services
The prevalence of cervical cancer screening among women attending maternal and child health services is 47% (130/276). Among the 276 maternal participants enrolled, 53% (130/276) had never taken up cervical cancer screening Figure 1.
Figure 1. Ever been screened for cervical cancer
Within the scope of this investigation, the analysis focuses on the timing of the most recent cervical cancer screening test among a subgroup of mothers who had undergone such screening. This particular subset comprises 130 participants. Among them, 43 individuals (constituting 33.1%) had undergone the screening within the past year, 46 individuals (accounting for 35.4%) had done so two years ago, and 38 individuals (equivalent to 29.2%) reported having the test conducted more than three years ago and there to be considered to have not done screening because in Uganda was done after every three years.
The study found that 79.2% (109/130) of the mothers received cervical cancer screening, it was administered by female healthcare providers, while male providers administered 14.6% (21/130).
Among those aware of cervical cancer screening, 57.5% (84/130) underwent the procedure, while 42.5% (62 mothers) did not. Among mothers not informed by healthcare workers, all 62 (100%) did not participate in screening.
4.2. Bivariate Analysis
4.2.1 Socio-Demographic Information and Cervical Cancer Screening
We used a chi-square test to assess the relationship between socio-demographic factors and the likelihood of women being screened for cervical cancer and age of the patients, level of education, number of children a mother had were significantly associated with uptake of cervical cancer screening.
The age of participants was significantly associated with cervical cancer screening uptake (p = 0.002). Among women aged 25-29 years, 39.4% had been screened for cervical cancer, while 56.2% of those aged 30-39 years and 76.5% of those aged 40-49 years had undergone screening.
There was a significant association between the level of education and cervical cancer screening uptake (p = 0.002). Among women with no formal education, 40.0% had been screened, compared to 59.6% of those with primary education, 34.5% of those with secondary education, and 60.0% of those with tertiary education.
The number of children a woman had was significantly associated with cervical cancer screening uptake (p = 0.001). Among women with no children, 25.0% had been screened, while 36.8% of those with 1-2 children, 57.3% of those with 3-4 children, and 65.4% of those with more than 4 children had undergone screening Table 2.
Table 2. Socio-Demographic Information and Cervical Cancer Screening
Variable
|
Total n=276(%)
|
Ever been screened for Cervical Cancer
|
P-value
|
|
|
No
n=146(%)
|
Yes n=130(%)
|
|
Age category (completed years)
|
|
|
|
0.002
|
25-29
|
170(61.6)
|
103(60.6)
|
67(39.4)
|
|
30-39
|
89(32.2)
|
39(43.8)
|
50(56.2)
|
|
40-49
|
17(6.2)
|
4(23.5)
|
13(76.5)
|
|
Marital Status
|
|
|
|
0.496
|
Married
|
248(89.9)
|
133(53.6)
|
115(46.4)
|
|
Separated/Divorced
|
6(2.2)
|
3(50.0)
|
3(50.0)
|
|
Single
|
20(7.2)
|
10(50.0)
|
10(50.0)
|
|
Widowed
|
2(0.7)
|
0(0.0)
|
2(100.0)
|
|
Level of education
|
|
|
|
0.002
|
No formal Education
|
65(23.6)
|
39(60.0)
|
26(40.0)
|
|
Primary
|
94(34.1)
|
38(40.4)
|
56(59.6)
|
|
Secondary
|
87(31.5)
|
57(65.5)
|
30(34.5)
|
|
Tertiary
|
30(10.9)
|
12(40.0)
|
18(60.0)
|
|
Employment status
|
|
|
|
0.062
|
Employed
|
28(10.1)
|
10(35.7)
|
18(64.3)
|
|
Housewife (married and handling domestic work without any pay)
|
210(76.1)
|
112(53.3)
|
98(46.7)
|
|
Self-employed (Working independently or manages their own business)
|
30(10.9)
|
17(56.7)
|
13(43.3)
|
|
Student
|
8(2.9)
|
7(87.5)
|
1(12.5)
|
|
Religion
|
|
|
|
0.977
|
Anglican
|
56(20.3)
|
29(51.8)
|
27(48.2)
|
|
Catholic
|
180(65.2)
|
94(52.2)
|
86(47.8)
|
|
Muslim
|
25(9.1)
|
14(56.0)
|
11(44.0)
|
|
Others
|
5(1.8)
|
3(60.0)
|
2(40.0)
|
|
Pentecostal
|
10(3.6)
|
6(60.0)
|
4(40.0)
|
|
Distance from home to the health facility
|
|
|
|
0.423
|
<=5kms
|
252(91.1)
|
130(89.0)
|
122(93.8)
|
|
>5kms
|
24(8.9)
|
16(11.0)
|
8(6.2)
|
|
Age at first sexual intercourse (Complete years)
|
|
|
|
0.228
|
<18
|
138(50.0)
|
68(49.3)
|
70(50.7)
|
|
>18
|
138(50.0)
|
78(56.5)
|
60(43.5)
|
|
Number of children
|
|
|
|
0.001
|
0
|
16(5.8)
|
12(75.0)
|
4(25.0)
|
|
1-2
|
133(48.2)
|
84(63.2)
|
49(36.8)
|
|
3-4
|
75(27.2)
|
32(42.7)
|
43(57.3)
|
|
>4
|
52(18.8)
|
18(34.6)
|
34(65.4)
|
|
Individual attitude and perception of Cervical Cancer
The HIV status, as self-reported by participants, was significantly associated with cervical cancer screening uptake (p = 0.001). Among women who reported being HIV-negative, 34.1% had been screened for cervical cancer, whereas 89.2% of those who reported being HIV-positive had undergone screening.
The language commonly used by health workers was also significantly associated with cervical cancer screening uptake (p = 0.024). Among women who reported that English was commonly used, 50.5% had been screened, whereas 33.3% of those who reported that Ngakaramojong was commonly used had undergone screening.
Women's ability to read and write showed a significant association with cervical cancer screening uptake (p = 0.044). Among women who were unable to read and write, 37.0% had been screened, while 50.7% of those who were able to read and write had undergone screening.
The perception of whether one's religion accepted cervical cancer screening did not show a significant association with screening uptake (p = 0.180). However, the majority of participants (99.3%) believed that their religion accepted cervical cancer screening Table 3.
Table 3. Individual attitude and perception of cervical cancer
Variable
|
Total n=276(%)
|
Ever been screened for CERVICAL CANCER
|
P-value
|
No
n=146(%)
|
Yes n=130(%)
|
|
HIV status(self-reported)
|
|
|
|
0.001
|
Negative
|
211(76.4)
|
139(65.9)
|
72(34.1)
|
|
Positive
|
65(23.6)
|
7(10.8)
|
58(89.2)
|
|
Language commonly used by health workers
|
|
|
|
0.024
|
English
|
222(80.4)
|
110(49.5)
|
112(50.5)
|
|
Ngakaramojong
|
54(19.6)
|
36(66.7)
|
18(33.3)
|
|
Religion accepts cervical cancer screening
|
|
|
|
0.180
|
No
|
2(0.7)
|
2(100.0)
|
0(0.0)
|
|
Yes
|
274(99.3)
|
144(52.6)
|
130(47.4)
|
|
Able to read and write
|
|
|
|
0.044
|
No
|
73(26.4)
|
46(63.0)
|
27(37.0)
|
|
Yes
|
203(73.6)
|
100(49.3)
|
103(50.7)
|
|
Weekly income
|
|
|
|
0.313
|
<10000
|
226(81.9)
|
125(55.3)
|
101(44.7)
|
|
10000-50000
|
39(14.1)
|
17(43.6)
|
22(56.4)
|
|
50000-100000
|
11(3.9)
|
4(36.4)
|
7(63.6)
|
|
System-related factors and Perception of cervical cancer
Receiving information regarding cervical cancer screening (CCS) emerged as a crucial factor significantly associated with screening uptake (p = 0.001). Among women who had received information about CCS, a substantial 61.0% had undergone screening. In stark contrast, none of the women who had not received any information had been screened. This underscores the pivotal role of education and awareness campaigns in promoting cervical cancer screening among this population.
The individuals responsible for making healthcare decisions (p = 0.007). Women who made healthcare decisions themselves, either independently or in conjunction with their partners, exhibited higher screening rates compared to those whose healthcare decisions were made by their partners or others. This highlights the importance of women's autonomy and involvement in healthcare choices as a positive driver for cervical cancer screening Table 4
Table 4. System-related Factors and Perception of CC
Variable
|
Total n=276(%)
|
Ever been screened for Cervical Cancer
|
P-value
|
No n=146(%)
|
Yes n=130(%)
|
Accept a male Health worker to perform CCS
|
|
|
|
0.150
|
No
|
29(10.5)
|
19(65.5)
|
10(34.5)
|
|
Yes
|
247(89.5)
|
127(51.4)
|
120(48.6)
|
|
Trust health worker
|
|
|
|
0.372
|
No
|
4(1.4)
|
3(75.0)
|
1(25.0)
|
|
Yes
|
272(98.6)
|
143(52.6)
|
129(47.4)
|
|
Allowed to access female health workers of one’s choice
|
|
|
|
0.128
|
No
|
9(3.3)
|
7(77.8)
|
2(22.2)
|
|
Yes
|
267(96.7)
|
139(52.1)
|
128(47.9)
|
|
Ever received any information regarding ccs
|
|
|
|
0.001
|
No
|
63(22.8)
|
63(100.0)
|
0(0.0)
|
|
Yes
|
213(77.2)
|
83(39.0)
|
130(61.0)
|
|
Who usually decides on one’s healthcare
|
|
|
|
0.007
|
My partner/husband alone
|
7(2.5)
|
5(71.4)
|
2(28.6)
|
|
Myself (woman) alone
|
163(59.1)
|
72(44.2)
|
91(55.8)
|
|
Partner and I/husband together
|
101(36.6)
|
65(64.4)
|
36(35.6)
|
|
Others
|
5(1.1)
|
4(80.0)
|
1(20.0)
|
|
Multivariate Analysis
Factors associated with cervical cancer screening
A Univariable logistic model between the dependent variable having ever screened for cervical cancer and the independent variable showed that being aged 40-49 years (COR 5.0, 95CI: 1.6-16.0, P<0.007), participants who had the highest level of education as primary (COR 2.2, 95CI: 1.2-4.2, P<0.016) and having more than four children (COR 5.7, 95CI: 1.6-20.1, P<0.026). had higher odds of taking up cervical cancer screening. The odds of taking cervical cancer screening increased with age. The women who were students (COR 0.1, 95CI: 0.01, 0.7, P<0.026) had lower odds of taking up cervical cancer screening services.
After adjusting in the multivariable logistic regression, we noted that the women with a primary level of education were 2.4 times as likely to take up cervical cancer screening as compared to the women who had no formal education (Adjusted Odds Ratios [AOR] 2.0, 95CI: 1.2-4.9, P<0.018).
The women who had given birth to at least four children were 5.0 times as likely to taking up cervical cancer screening as compared to the women the women who had not given birth to any child children (AOR 5.0, 95CI: 1.1-23.1, P<0.039) Table 5.
Table 5. Multivariate results
Variable
|
COR (95% CI)
|
P-value
|
AOR (95% CI)
|
P-value
|
Age category (completed years)
|
|
|
|
|
25-29
|
1
|
|
1
|
|
30-39
|
2.0(1.2, 3.3)
|
0.010
|
1.1(0.6, 2.1)
|
0.811
|
40-49
|
5.0(1.6, 16.0)
|
0.007
|
2.4(0.6, 9.5)
|
0.210
|
Level of education
|
|
|
|
|
No formal Education
|
1
|
|
1
|
|
Primary
|
2.2(1.2, 4.2)
|
0.016
|
2.4(1.2, 4.9)
|
0.018
|
Secondary
|
0.8(0.4, 1.5)
|
0.486
|
1.0(0.5, 2.3)
|
0.977
|
Tertiary
|
2.3(0.9, 5.4)
|
0.072
|
2.4(0.7, 7.9)
|
0.157
|
Employment status
|
|
|
|
|
Employed
|
1
|
|
1
|
|
Housewife
|
0.5(0.2,1.1)
|
0.084
|
bb0.5(0.2, 1.4)
|
0.193
|
Self-employed
|
0.4(0.1,1.2)
|
0.113
|
0.6(0.2, 1.9)
|
0.366
|
Student
|
0.1(0.01, 0.7)
|
0.026
|
0.2(0.02, 1.8)
|
0.142
|
Number of children
|
|
|
|
|
0
|
1
|
|
1
|
|
1-2
|
1.7(0.5, 5.7)
|
0.355
|
1.7(0.5, 6.5)
|
0.421
|
3-4
|
4.0(1.2, 13.7)
|
0.025
|
3.8(1.0, 15.4)
|
0.059
|
>4
|
5.7(1.6, 20.1)
|
0.007
|
5.0(1.1, 23.1)
|
0.039
|
Who usually decides on one’s healthcare
|
|
|
|
|
My partner/husband alone
|
1
|
|
1
|
|
Myself (woman) alone
|
3.2(0.6, 16.8)
|
0.177
|
1.7(0.3, 9.9)
|
0.577
|
Myself and partner/husband together
|
1.4(0.3, 7.5)
|
0.706
|
0.8(0.1, 4.6)
|
0.766
|
Others
|
0.6(0.04, 9.6)
|
0.736
|
0.4(0.02, 11.6)
|
0.623
|
Qualitative findings
Social demographic characteristics of the qualitative participants
In the qualitative part of the study, we recruited a total of 30 participants. 15 of them had screened for cervical cancer, and the remaining 15 had never screened for cervical cancer. The majority, 50% (15/30), were aged between 30-39. 70% (21/30) were married, 66.7% were Christians, and 63.3% (19/30) of the participants were housewives Table 6
Table 6. Social demographic characteristics of the qualitative participants
Variable
|
frequency
|
Percentage
|
CCS screening status
|
|
|
Screened
|
15
|
50.0
|
Not screened
|
15
|
50.0
|
Age
|
|
|
25-29
|
10
|
33.3
|
30-39
|
15
|
50.0
|
40-49
|
5
|
16.7
|
Marital status
|
|
|
Married
|
21
|
70.0
|
Single/divorced/widow
|
9
|
30.0
|
Religion
|
|
|
Christian
|
20
|
66.7
|
Moslems
|
10
|
33.3
|
Education level
|
|
|
No formal education
|
4
|
13.3
|
Primary
|
8
|
26.7
|
Secondary
|
13
|
43.3
|
Tertiary
|
5
|
16.7
|
Occupation
|
|
|
Housewife
|
19
|
63.3
|
Business
|
6
|
20
|
Salaried
|
5
|
16.7
|
Some of the codes and themes and quotations that merged
The themes that emerged from the qualitative part of the study included individual factors and health system-related factors, and the codes that emerged included perceived health status, lack of information, access to information, unclear/blurry idea of the procedure, and experience with cancer. Some of the themes, codes and quotations that merged are shown in Table 7 Below.
Table 7. Examples of the meanings and themes derived from the thematic framework analysis on attitudes and perceptions regarding cervical cancer screening at Moroto Regional Referral Hospital.
|
Themes
|
Codes
|
Quotations
|
Barriers
|
Individual factors
|
Perceived health status
|
“...it needs when you know that you are sick. Because you can’t go to the hospital when you are not sick.to say here is paining, like for me, it’s only this disease of mine that I am suffering from that makes me come to the hospital” (P12 not screened).
|
Individual concerns about screening procedures
|
“…I was worried because she told me you have to undress yourself, so I was fearing also to expose myself…” (P18, not screened).
|
Health system-related factors
|
Accessibility
Long waiting time
Lack of equipment/stockouts
|
“…the waiting time is so long because if I have come, I have come specifically for that test, and they give me the information. Now I have already gone through a very long line in OPD and then come and started waiting for a very long line, so you find that on many occasions I miss the test…” (P16, not screened).
|
Facilitators
|
|
Encouragement by health workers
|
“…what motivated me mostly to do cervical cancer screening was when I got very good information from the nurse…” (P31, screened).
“…It is from the health centre that I just know that it is cancer that affects the private part of a woman … this pushed me to go for cervical cancer screening because there was cancer in the services. I had to go for a screen because it could affect the childbearing process. I wanted to have children, so I wanted to make sure I am safe from this cancer” (P21, screened).
|
Individual factors
Perceived health status
Many participants expressed the belief that visiting the hospital for cervical cancer screening was primarily a response to experiencing specific symptoms or health concerns. They perceived cervical cancer screening as a means to diagnose health issues rather than a preventive measure.
"I heard that when your uterus is paining, you come to the hospital, and they test you and know what disease you are suffering from." (P17, not screened).
"It needs when you know that you are sick. Because you cannot go to the hospital when you are not sick. to say here is paining, like for me, it is only this disease of mine that I am suffering from that makes me come to the hospital." (P12 not screened).
In contrast, some participants recognised the value of cervical cancer screening in assessing their overall health status. Those who had undergone screening expressed a more proactive perspective toward cervical cancer screening.
“It is good to come and test for cervical cancer and know how your body is. And when they give you the drugs, you go and swallow the way they have told you” (P01, screened).
Knowledge of cervical cancer/ screening.
Several participants, particularly those who had not undergone screening, expressed a lack of knowledge about cervical cancer and the screening process
“…I have never heard on how they test for that disease or the way they check…” (P17, not screened).
“I have never screened, but I always hear that they use some machine thing which is metallic. That is what I hear they push in the private part, that is what I hear…” (P13, not screened).
In contrast, some participants, including those who had undergone screening, shared personal experiences and family histories related to cancer. Participant 09, who had been screened, recounted a family history of cancer, stating,
“I remember one time when I was still young, like around 10 years, it happened that my grandfather died of cancer. And it took him long with the pain.
[…] However, he died, but again, my other uncle is also sick of cancer. So, this is one of the things that pushed me to have my self-screen so that I cannot know and treat it before it worsens” (P09, screened).
Participant 09 experience suggests that personal and familial encounters with cancer may have motivated her to seek screening as a preventive measure.
Individual concerns about screening procedures
Individual concerns such as fear and anxiety emerged as prominent emotions associated with cervical cancer screening. Participants who had not been screened expressed apprehension about the screening process, as some women feel uncomfortable and vulnerable during the procedure, hence the fear of being screened. Some participants also expressed dissatisfaction with the procedure
“…I was worried because someone who was screened told me that one has to undress and remain necked before she is screened, so I was also fearing to expose my body to another person who is not my husband…” (P18, not screened).
“I wasn’t satisfied with the procedure which was used for screening because the health worker told me to locate the cervix myself, and I couldn’t reach the cervix; it needed someone else other than me myself…” (P28, screened).
Negative community perceptions and misconceptions about cervical cancer screening raised women's anxiety and reluctance to undergo screening.
“…I was also fearing, as you know, as in the village the way people talk, it scares so that you start fearing and you think screening for screening will make me infertile…” (P31, screened).
Health system-related factors
Knowledge and Awareness of Cervical Cancer
Some participants who had undergone cervical screening highlighted the role of healthcare facilities in raising awareness about cervical cancer. Healthcare providers and facilities can play a crucial role in educating women about cervical cancer and the importance of screening.
“…It is from the health centre that I just know that it's cancer that affects the private part of a woman … this pushed me to go for cervical cancer screening because there was cancer in the services. I had to go for a screen because it could affect the childbearing process. I wanted to have children, so I wanted to make sure I am safe from this cancer” (P21, screened).
Barriers Related to Healthcare Access
Several participants expressed concerns related to healthcare access as a barrier to cervical cancer screening. Participants who had not been screened discussed the long waiting times at healthcare facilities and the lack of screening equipment in the health facilities.
“…the waiting time is so long because if I have come, I have come specifically for that test, and they give me the information. Now I have already gone through a very long line in OPD and then come and started waiting for a very long line, so you find that on many occasions I miss the test…” (P16, not screened).
“…like where I stay, actually I stay in some place near a health centre III where there are no facilities like that equipment’s for testing or screening for cervical cancer screening” (P10, not screened).
This highlights the challenges associated with healthcare facility logistics and the need for efficient screening processes to accommodate women's time constraints and priorities, especially in underserved rural areas.
Influence of Healthcare Providers and Information Dissemination
Several participants emphasised the significant role played by healthcare providers in motivating them to consider cervical cancer screening. This is important for seizing opportunities during healthcare visits to provide information and promote screening.
“…what motivated me mostly to do cervical cancer screening was when I got very good information from the nurse…” (P31, screened).
“Mostly when you have other sicknesses, and you have come to the hospital. They are people who give information about its cervical cancer screening” (P16, not screened).
“…when I came back here to Moroto, whenever I would come like for services like family planning, yes I would always hear from the nurses emphasising.” (P13, screened).
Challenges in Information Dissemination
Some participants, however, faced challenges in receiving information about cervical cancer screening. Participant 06, who had not been screened, described a situation where healthcare providers focused on specific groups, saying,
"That time, they picked only those women, then for us, we asked, but they refused, and they said this season is first for HIV-positive women. So, they took those people, then they talked to those women, then they left us." (P06, not screened).
This indicates potential gaps in equitable information dissemination efforts that need to be addressed to ensure all eligible women receive information about cervical cancer screening.
Community-Based Health Promotion
Many participants mentioned the impact of community-based health promotion efforts on their awareness and motivation to seek cervical cancer screening. Participants noted,
“They used to come in the communities like the nurses and VHTs, and they used to advise women to go for cancer screening in the regional referral hospital…” (P19, not screened).
“…there was a time when it was a radio talk show, and there is a time of public address. But now it has taken several months without us hearing about cervical screening” (P28, screened).
“…the first time I heard about it, there was a sensitisation going on, there was a vehicle moving around sensitising women about cervical cancer and telling women to come to the hospital for cervical cancer test.” (P20, not screened).
Influence of Media and Radio
Media, particularly radio, emerged as another influential source of information for cervical cancer screening. Participant 09, who had undergone screening, mentioned how she obtained information from both radio broadcasts and her visit to the hospital, stating,
“…I got the information from the radio and also from the hospital at the time I came to bring my child to the hospital. I got someone talking about it, and I had the chance to know and get the information” (P09, screened).
Radio talk shows and public address announcements were instrumental in disseminating knowledge about cervical cancer screening.