Contraceptive failure after hysteroscopic sterilization: Analysis of clinical and demographic data from 103 unplanned pregnancies
OBJECTIVE: This investigation examined data on unplanned pregnancies following hysteroscopic sterilization (HS). METHODS: A confidential questionnaire was used to collect data from women with medically confirmed pregnancy (n=103) registered after undergoing HS. RESULTS: Mean (±SD) patient age and body mass index (BMI) were 29.5±4.6 years and 27.7±6.1 kg/m(2), respectively. Peak pregnancy incidence was reported at 10 months after HS, although <3% of unplanned pregnancies occurred within the first three months following HS. Mean (±SD) interval between HS and pregnancy was 19.6±14.9 (range, 2 to 84) months. Patients age ≥30 years and BMI <25 reported conception after HS somewhat sooner than younger patients, although the differences in time to pregnancy were not significant (P=0.24 and 0.09, respectively). The recommended post-HS hysterosalpingogram (to confirm proper placement and bilateral tubal occlusion) was obtained by 66% (68/103) of respondents. CONCLUSION: This report is the first to provide patient-derived data on contraceptive failures after HS. While adherence to backup contraception 3 months after HS can be poor, many unintended pregnancies with HS occur long after the interval when alternate contraceptive is required. Many patients who obtain HS appear to ignore the manufacturer's guidance regarding the post-procedure hysterosalpingogram to confirm proper device placement, although limited insurance coverage likely contributes to this problem. The greatest number of unplanned pregnancies occurred 10 months after HS, but some unplanned pregnancies were reported up to 7 years later. Age, BMI, or surgical history are unlikely to predict contraceptive failure with HS. Further follow-up studies are planned to capture additional data on this issue.
This publication published in Obstetrics & Gynecology Science represents peer-reviewed research in Reproductive Medicine directly relevant to Aimwell’s evidence intelligence infrastructure. It contributes to the FHIN network’s knowledge base on Reproductive Medicine and supports data-driven clinical decision making for Aimwell member organizations.
Source attribution: PubMed / NCBI · CrossRef
License: CC BY-NC 4.0
Retrieved: May 21, 2026
This profile page was generated by AimwellBio based on publicly available research data. Publication content, authorship, and metadata are attributed to the original source publication.