| Literature DB >> 34135643 |
Thomas H G Bongaerts1, Marlieke Ridder1,2, Josephina C J Vermeer-Mens3, Jeanette J Plukkel2, Mattijs E Numans1, Frederike L Büchner1.
Abstract
BACKGROUND: Many countries organize population-based cervical cancer screening programs (CSP). In the Netherlands, eligible women are invited by mail. Marginalized women living in unstable conditions and homeless women often fail to receive the invitation letter. These women also experience access barriers to regular healthcare. Consequently, despite presumably being at higher risk of developing cervical cancer due to prevalent risk factors, marginalized women are rarely screened for cervical cancer. The aim of the study was to identify the prevalence of (pre)cancerous abnormalities among marginalized women, and subsequently explore invitation approaches to enhance their screening participation.Entities:
Keywords: Netherlands; cervical cancer; marginalized women; screening participation
Year: 2021 PMID: 34135643 PMCID: PMC8197586 DOI: 10.2147/IJWH.S302002
Source DB: PubMed Journal: Int J Womens Health ISSN: 1179-1411
Occurrence of HR-HPV and Cytology of the Study Population (n=74)
| HR-HPV | Cytology | HR-HPV+ and Abnormal Smear | ||||||
|---|---|---|---|---|---|---|---|---|
| Count | Percentage of HR-HPV+ | Count | Percentage of Abnormal Smears | Count (Percentage) | ||||
| Negative | Positive | Normal | Abnormal | |||||
| Study population (n) | 48 | 26 | 35% | 59 | 15 | 20% | 12 (16) | |
| Age cohort | 20–25* | 1 | 6 | 86% | 4 | 3 | 43% | 3 (43) |
| 25–30* | 10 | 3 | 23% | 11 | 2 | 15% | 1 (8) | |
| 30–35 | 7 | 4 | 36% | 8 | 3 | 27% | 3 (27) | |
| 35–40 | 8 | 2 | 20% | 10 | 0 | 0% | 0 (0) | |
| 40–45 | 8 | 1 | 11% | 7 | 2 | 22% | 1 (11) | |
| 45–50 | 3 | 4 | 57% | 6 | 1 | 14% | 1 (14) | |
| 50–55 | 10 | 3 | 23% | 13 | 0 | 0% | 0 (0) | |
| 55–60 | 1 | 3 | 75% | 0 | 4 | 100% | 3 (75) | |
Note: *Women in these age cohorts are not screened by the Dutch CSP.
Abbreviations: HR-HPV, high-risk human papillomavirus; HR-HPV+, high-risk human papillomavirus positive.
Calculations of the Prevalence Ratios
| Total Women (age 30–60, n=54) | 0.034 | 54 | 1.84 | 8 | 4.4 (95% CI 1.9–8.6) | ||
| Age Category | 30–35 | 0.076 | 11 | 0.84 | 3 | ||
| 35–40 | 0.045 | 10 | 0.45 | 0 | |||
| 40–45 | 0.032 | 9 | 0.29 | 1 | |||
| 45–50 | 0.029 | 7 | 0.20 | 1 | |||
| 50–55 | 0.022 | 13 | 0.29 | 0 | |||
| 55–60 | 0.014 | 4 | 0.06 | 3 | |||
| Total Women (age 20–60, n=74) | 0.034 | 74 | 2.52 | 12 | 4.8 (95% CI 2.5–8.3) | ||
| Age Category | 20–30 | 0.076* | 20 | 1.52 | 4 | ||
| 30–35 | 0.076 | 11 | 0.84 | 3 | |||
| 35–40 | 0.045 | 10 | 0.45 | 0 | |||
| 40–45 | 0.032 | 9 | 0.29 | 1 | |||
| 45–50 | 0.029 | 7 | 0.20 | 1 | |||
| 50–55 | 0.022 | 13 | 0.29 | 0 | |||
| 55–60 | 0.014 | 4 | 0.06 | 3 | |||
Notes: *Women in this age cohort are not screened by the Dutch CSP. Therefore, the prevalence rate for age cohort 20–30 was equated to the screen-positive prevalence rate from age cohort 30–35 years of age.
Abbreviations: CSP, cancer screening programme; HR-HPV+, high-risk human papillomavirus positive.
Figure 1Distribution test results of the cervical smears. HR-HPV, high-risk human papillomavirus.
Recommendations for Implementing a Cervical Screening Program for Marginalized Women
1. Be pro-active as care provider; |
2. Provide the cervical smear at the locations where the women work, reside or receive care; |
3. Use a trusted care provider on the location for recruitment and the introduction of the program; |
4. Use female medical teams; |
5. Involve peers: give them a role in educating and raising awareness; |
6. Consider screening from a younger age onward, starting at the age of 25 is recommended; |
7. Make sure follow-up is guaranteed and explore regionally which organizations can cooperate. |