A population-based cross-sectional study on the situation of cervical cancer screening in Liaoning, China

Cervical cancer (CC) screening is currently recognized as an effective intervention for CC. Previous studies found that the proportion of screening was low in China, especially in Liaoning. Therefore, we performed a population-based cross-sectional survey to investigate the situation of cervical cancer screening and analyze their related factors for providing a decision-making basis for sustainable and effective development of cervical cancer screening.

This population-based cross-sectional study involved aged 30 to 69 years in nine counties/districts in Liaoning from 2018 to 2019. Data were collected using the quantitative data collection methods, and analyzed in SPSS version 22.0.

Overall, only 22.37% of 5334 respondents reported having ever been screened for cervical cancer in past 3 years, and 38.41% of respondents reported having the willingness for cervical cancer screening in next 3 years. In the rate of CC screening, multilevel analysis indicated that age, marital status, education level, type of occupation, medical insurance, family income, place of residence and regional economic level had a significant impact on proportion of screening. In the rate of CC screening willingness, multilevel analysis indicated that age, family income, health status, place of residence, regional economic level and CC screening still had a significant impact, but marital status, education level and medical insurance type had no significant impact. There was no significant difference in marital status, education level and medical insurance type after the factors of CC screening were added in the model.

Our study found both proportion of screening and willingness were at a low level, and age, economic and regional factors were the main factors for implementation of CC screening in China. In the future, targeted policies should be formulated according to the characteristics of different groups of people, and reduce the gap in the current health service capacity between different regions.