| Literature DB >> 35698121 |
Nancy Innocentia Ebu Enyan1, Anita Efua Davies2, Rita Opoku-Danso2, Francis Annor3, Dorcas Obiri-Yeboah3,4.
Abstract
BACKGROUND: The World Health Organisation's efforts to eliminate cervical cancer by 2030 with a target of 70% screening coverage using a high-performance test demand that women increase participation in screening. Factors that impact uptake of screening must therefore be identified and bottlenecks addressed, especially in lower- and middle-income countries where cervical cancer incidence remains high. This study investigated Muslim women, participation in, intention to engage in and self-efficacy about cervical cancer screening.Entities:
Keywords: Cervical cancer screening; Ghana; Intention; Modesty; Muslim women; Self-efficacy
Mesh:
Year: 2022 PMID: 35698121 PMCID: PMC9189795 DOI: 10.1186/s12905-022-01803-0
Source DB: PubMed Journal: BMC Womens Health ISSN: 1472-6874 Impact factor: 2.742
Fig. 1Conceptual framework of the study.
Source: Adapted from Theory of Planned Behaviour [11] and Health Belief Model [12]
Participants’ demographic information
| Variables/categories | Frequency | Percent |
|---|---|---|
| Single | 197 | 48.0 |
| Married | 146 | 35.6 |
| Divorced | 11 | 2.7 |
| Widowed | 21 | 5.1 |
| Cohabiting | 35 | 8.5 |
| Primary | 110 | 26.8 |
| Junior High School | 67 | 16.3 |
| Senior High School | 78 | 19.0 |
| College degree | 28 | 6.8 |
| University degree | 76 | 18.5 |
| No formal education | 51 | 12.4 |
| Employed | 167 | 40.7 |
| Unemployed | 150 | 36.6 |
| Student | 93 | 22.7 |
| 410 | 100 | |
| Less than GH¢366 | 210 | 51.2 |
| Between GH¢ 366–500 | 75 | 18.3 |
| Between GH¢ 501–700 | 48 | 11.7 |
| Between GH¢ 701–900 | 34 | 8.3 |
| GH¢905 and above | 43 | 10.5 |
| 18–29 | 234 | 54.3 |
| 30–39 | 114 | 26.5 |
| 40–49 | 58 | 13.5 |
| 50 + | 25 | 5.8 |
Participants’ knowledge of cervical cancer and cervical cancer screening
| Item | Incorrect response | Correct response |
|---|---|---|
| Cervical cancer affects the mouth | 270 (62.6) | 161 (37.4) |
| Cervical cancer affects the face | 316 (73.3) | 115 (26.7) |
| Cervical cancer cannot be prevented | 336 (78.0) | 95 (22.0) |
| Being transfused with blood is a risk factor for CC | 363 (84.2) | 68 (15.8) |
| Having multiple sexual partners increase your CC risk | 278 (64.5) | 153 (35.5) |
| CC is heredity | 377 (87.5) | 54 (12.5) |
| Bleeding after sexual intercourse is a CC symptom | 303 (70.3) | 128 (29.7) |
| Offensive blood-stained vaginal discharge is a CC symptom | 328 (76.1) | 103 (23.9) |
| Itching around the vulva is a CC symptom | 390 (90.5) | 41 (9.5) |
| Severe headache all the time is a CC symptom | 384 (89.1) | 47 (10.9) |
| Screening can prevent cervical cancer | 253 (58.7) | 178 (41.3) |
| Screening can cure cervical cancer | 382 (88.6) | 49 (11.4) |
| Urine is used for cervical screening in Ghana | 375 (87.0) | 56 (13.1) |
| CC Screening must be done by a trained person | 232 (53.8) | 199 (46.2) |
| CC Screening cannot be obtained in Ghana | 293 (68.0) | 138 (32.0) |
| Minimum score = 0 | ||
| Maximum score = 14.0 | ||
| Mean score = 3.68 | ||
| Standard deviation = 3.88 | ||
| 75% percentile = 7.00 | ||
Participation and reasons for cervical cancer screening
| Yes | No | |
|---|---|---|
| Ever had cervical cancer screening ( | 21 (4.9) | 410 (95.1) |
| Reason for cervical cancer screening ( | ||
| Routine | 6 (30.0) | 14 (70.0) |
| Referral | 10 (50.0) | 10 (50.0) |
| I asked for the test | 10 (50.0) | 10 (50.0) |
| Husband encouraged me | 4 (20.0) | 16 (80.0) |
| A relative had cervical cancer | 4 (20.0) | 16 (80.0) |
| Fear of cancer | 7 (35.0) | 13 (65.0) |
| Heard about it on the radio | 14 (70.0) | 6 (30.0) |
| Experienced some symptoms | 10 (50.0) | 10 (50.0) |
| I had education on cervical cancer at the mosque | 5 (25.0) | 15 (75.0) |
| I had education on cervical cancer at the hospital | 18 (90.0) | 2 (10.0) |
| Intend to have cervical cancer screening again ( | 4 (20.0) | 16 (80.0) |
Bivariate associations between demographic variables and outcome variables
| Variable | Participated in CCS ( | CCS intention ( | CCS self-efficacy ( | ||||||
|---|---|---|---|---|---|---|---|---|---|
| No | Yes | χ2 | No | Yes | χ2 | No | Yes | χ2 | |
| n (%) | n (%) | n (%) | n (%) | n (%) | n (%) | ||||
| Marital status | 1.37 | 0 | 3.89* | ||||||
| Single | 229 (96.2) | 9 (3.8) | 34 (14.8) | 195 (85.2) | 49 (20.9) | 185 (79.1) | |||
| With partner | 181 (93.8) | 12 (6.2) | 27 (14.9) | 154 (85.1) | 26 (13.6) | 165 (86.4) | |||
| Health insurance | 0.78 | 5.18* | 6.55* | ||||||
| No | 51 (52.3) | 4 (7.3) | 13 (25.5) | 38 (74.5) | 16 (30.2) | 37 (69.8) | |||
| Yes | 359 (95.5) | 17 (4.5) | 48 (13.4) | 311 (86.6) | 59 (15.9) | 313 (84.1) | |||
| Employment status | 3.77 | 0.65 | 8.88* | ||||||
| Employed | 167 (94.9) | 9 (5.1) | 22 (13.2) | 145 (86.8) | 23 (13.1) | 152 (86.9) | |||
| Unemployed | 150 (97.4) | 4 (2.6) | 24 (16.0) | 126 (84.0) | 25 (16.6) | 126 (83.4) | |||
| Student | 93 (92.1) | 8 (4.9) | 15 (16.1) | 78 (83.9) | 27 (27.3) | 72 (72.7) | |||
| Monthly income | 14.87** | 3.74 | 4.69 | ||||||
| Below-average | 210 (99.1) | 2 (0.9) | 35 (16.7) | 175 (83.3) | 39 (18.6) | 171 (81.4) | |||
| Average | 123 (92.5) | 10 (7.5) | 12 (9.8) | 111 (90.2) | 16 (12.3) | 114 (87.7) | |||
| Above-average | 77 (89.5) | 9 (10.5) | 14 (18.2) | 63 (81.8) | 20 (23.5) | 65 (76.5) | |||
| Education level | 15.81** | 1.67 | 1.51 | ||||||
| Up to primary | 228 (98.3) | 4 (1.7) | 37 (16.2) | 191 (83.8) | 36 (15.7) | 193 (84.3) | |||
| Secondary | 78 (84.7) | 11 (12.4) | 8 (10.3) | 70 (89.7) | 16 (18.4) | 71 (81.6) | |||
| Degree | 104 (94.5) | 6 (5.5) | 16 (15.4) | 88 (84.6) | 23 (21.1) | 86 (78.9) | |||
*p < 0.05; **p < 0.01
Binary logistic regression on correlates of engagement in cervical cancer screening, self-efficacy about cervical cancer screening and intention to engage in cervical cancer screening
| Variables | Participated in CCS ( | CCS self-efficacy ( | CCS intention ( | ||||||
|---|---|---|---|---|---|---|---|---|---|
| aOR | 95% CI | aOR | 95% CI | aOR | 95% CI | ||||
| Monthly incomea | |||||||||
| Average | 1.77 (0.87)* | 5.87 | 1.07–32.27 | 0.01 (0.37) | 1.01 | 0.49–2.10 | 0.15 (0.42) | 1.16 | 0.51–2.63 |
| Above-average | 2.07 (0.90)* | 7.95 | 1.36–46.28 | − 0.41 (0.38) | 0.66 | 0.32–1.39 | − 0.38 (0.43) | 0.68 | 0.29–1.59 |
| Education levela | |||||||||
| Secondary | 1.02 (0.71) | 2.76 | 0.68–11.20 | − 0.16 (0.38) | 0.85 | 0.40–1.81 | 0.76 (0.47) | 2.13 | 0.85–5.38 |
| Degree | − 0.64 (0.86) | 0.53 | 0.99–2.83 | − 0.47 (0.42) | 0.62 | 0.28–1.41 | 0.45 (0.47) | 1.56 | 0.62–3.95 |
| Modesty | 0.22 (0.07) | 1.24 | 1.07–1.43 | − 0.13 (0.04)*** | 0.88 | 0.81–0.96 | − 0.13 (0.05)*** | 0.88 | 0.80–0.97 |
| Faith | 0.01 (0.13) | 1.01 | 0.79–1.29 | − 0.00 (0.79) | 0.99 | 0.86 –1.17 | − 0.05 (0.09) | 1.05 | 0.88–1.26 |
| Self-sampling | 0.18 (0.78) | 1.20 | 0.26–5.52 | − 0.24 (0.42) | 0.79 | 0.35–1.79 | − 0.92 (0.50) | 0.40 | 0.15–1.06 |
| Similarity | 0.11 (0.17) | 1.11 | 0.80–1.55 | − 0.21 (0.10)* | 0.81 | 0.67–0.99 | − 0.18 (0.11) | 0.84 | 0.67–1.04 |
| Knowledge | 0.28 (0.09)** | 1.32 | 1.11–1.56 | 0.06 (0.05) | 1.06 | 0.97–1.17 | − 0.03 (0.05) | 0.97 | 0.88–1.08 |
| Attitudes | 0.24 (0.14) | 1.28 | 0.98–1.67 | 0.28 (0.08)*** | 1.32 | 1.14–1.53 | 0.35 (0.09)*** | 1.42 | 1.20–1.68 |
| Subjective Norms | − 0.10 (0.08) | 0.91 | 0.77–1.06 | − 0.02 (0.05) | 0.98 | 0.89–1.07 | 0.00 (0.06) | 1.00 | 0.90–1.11 |
| Behavioural Control | 0.07 (0.12) | 1.07 | 0.85–1.36 | 0.03 (0.06) | 1.03 | 0.92–1.16 | 0.09 (0.06) | 1.10 | 0.97–1.24 |
TPB Theory of planned behaviour, aOR Adjusted odds ratio, CCS Cervical cancer screening, CI Confidence interval
aReference group (monthly income = below-average; education level = up to primary education)
*p < 0.05; **p < 0.01; ***p < 0.001