Educational inequalities in cervical cancer screening participation in 24 European countries

Public Health. 2024 Aug:233:1-7. doi: 10.1016/j.puhe.2024.04.036. Epub 2024 May 27.

Abstract

Objectives: Cervical cancer screening (CCS) is an important public health measure for early detection of cervical cancer and prevents a large proportion of cervical cancer deaths. However, participation in CCS is relatively low and varies substantially by country and socio-economic position. This study aimed to provide up-to-date participation rates and estimates on educational inequalities in CCS participation in 24 European countries with population-based CCS programmes.

Study design: This was a cross-sectional study.

Methods: Using data from the European Health Interview Survey (EHIS) conducted in 2019, 80,479 women aged 25-64 years were included in the analyses. First, standardized participation rates and standardized participation rates by educational attainment were calculated for all 24 countries based on each country-specific screening programme organization. Second, a series of generalized logistic models was applied to assess the effect of education on CCS participation.

Results: Screening participation rates ranged from 34.1% among low-educated women in Romania to 97.1% among high-educated women in Finland. We observed that lower-educated women were less likely to attend CCS than their higher-educated counterparts. Largest educational gaps were found in Sweden (odds ratio [OR] = 6.36, 95% confidence interval [CI] = 3.89-10.35) and Poland (odds ratio = 5.80, 95% CI = 4.34-7.75).

Conclusion: Population-based screening initiatives have successfully reduced participation differences between women with medium and high educational attainment in some countries; however, persistent disparities still exist between women with low and high levels of education. There is an urgent need to increase participation rates of CCS, especially among lower-educated women.

Keywords: Attendance; Cervical cancer; Education; Europe; Inequalities; Screening.

MeSH terms

  • Adult
  • Cross-Sectional Studies
  • Early Detection of Cancer* / statistics & numerical data
  • Educational Status*
  • Europe
  • Female
  • Healthcare Disparities / statistics & numerical data
  • Humans
  • Middle Aged
  • Socioeconomic Factors
  • Uterine Cervical Neoplasms* / diagnosis