At Belfast Fertility, we have significant expertise in treating all forms of infertility and this is reflected in our excellent success, recently published by the HFEA.
As a Human Fertilisation & Embryology Authority (HFEA) licensed clinic, we report all our figures to them and the data below relates to confirmed clinical pregnancies, where a fetal heartbeat is seen on ultrasound scan.
The HFEA collect and audit data from all UK clinics each year. There are certain limitations to be aware of when using success rates as the basis for reviewing and comparing clinic performance, such as the differences in the type of patient a clinic treats, with some clinics implementing selection criteria (age; diagnosis; length of infertility) as a determinant of access to treatment. Success rates also do not reflect the individual circumstances of each patient that may affect treatment prospects. It is this individualisation of treatment that is at the forefront of success at Belfast Fertility.
For further advice on the interpretation and use of success rates, please go to https://www.hfea.gov.uk/choose-a-clinic/learn-about-choosing-a-clinic/
It’s important to be cautious when using success rates as a basis of comparison between infertility clinics. The HFEA provides excellent advice on how to interpret success rates and use them as an indication of a clinic’s performance. You can follow their advice here.
It is important to look for the success rates per cycle started when researching clinics as these figures will include all patients who started treatment not only those who received an embryo transfer.
Some clinics use their positive pregnancy test rates as an indication of success rather than clinical pregnancies. Reporting results in this way gives a misleadingly high rate of success as not all pregnancies progress to the stage of seeing a fetal heartbeat or live birth. In keeping the HFEA regulations we only publish data relating to our live birth rate and clinical pregnancies once verified by the regulator.
When interpreting comparison data, it is important to ensure that there is a detailed explanation of the raw data and it uses like for like comparisons i.e. the same time period, age group. The patient numbers must be large enough to give meaningful results.
If you have any questions, please be sure to contact us and we’ll be happy to talk through our success rates.