Knowledge, attitude and practice of contraceptive methods among women with an unplanned pregnancy.

OBJECTIVES: The study aimed to investigate the knowledge, attitude and practice (KAP) of contraceptive methods among women with an unplanned pregnancy, aiming to improve their reproductive health and increase their understanding of contraceptive methods. DESIGN: This is a cross-sectional study. SETTING: The study was conducted at the Maternity and Child Healthcare Hospital of Hubei between 20 November 2022 and 20 January 2023. PARTICIPANTS: Women with an unplanned pregnancy were included. PRIMARY AND SECONDARY OUTCOME MEASURES: The questionnaire was in the Chinese language and included demographic data, KAP assessments. Multivariate linear regression was performed to explore the factors associated with knowledge or practice scores. RESULTS: During the study period, 510 participants with valid questionnaires were included. The KAP scores were 7.30±2.91, 32.61±3.13 and 28.58±3.59, respectively. Place of residence (urban vs non-urban; B=0.66, 95% CI 0.02 to 1.29, p=0.043) and educational level (master's degree or above vs post secondary or below; B=1.07, 95% CI 0.17 to 1.96, p=0.020) were positively associated with knowledge. Knowledge (B=0.25, 95% CI 0.17 to 0.32, p<0.001) and attitude (B=0.26, 95% CI 0.19 to 0.32, p<0.001) were positively associated with practice. CONCLUSIONS: This study indicates a low level of KAP regarding contraceptive methods among women facing unplanned pregnancies. Place of residence and educational level were positively associated with knowledge scores. These findings may help improve future sex education policies and programmes.

Establishment and validation of a risk prediction model for high-grade cervical lesions.

OBJECTIVE: To establish and validate a risk prediction model for cervical high-grade squamous intraepithelial lesions (HSIL). METHODS: This retrospective study included patients who underwent cervical biopsies at the Cervical Disease Centre of Maternal and Child Hospital of Hubei Province between January 2021 and December 2021. RESULTS: A total of 1630 patients were divided into the HSIL + cervical lesion group (n = 186) and the ≤ LSIL cervical lesions group (n = 1444). LSIL, ASC-H, HSIL and SCC, high-risk HPV, HPV16, HPV18/45, multiple HPV strains, acetowhite epithelium, atypical vessels, and mosaicity were independently associated with HSIL + lesions. These factors were used to establish a risk prediction model with a demonstrated area under the curve (AUC) of 0.851 and a C-index of 0.829. Calibration curve analysis showed that the model performed well, with a mean absolute error (MAE) of 0.005. The decision curve showed that the model created by combining the risk factors was more specific and sensitive than each predictive variable. CONCLUSION: The model for predicting HSIL demonstrated promising predictive capability and might help identify patients requiring biopsy and treatment.