Abstract

Abstract Background Gonadotropins (Gona) are commonly used for infertility treatment in women. They are available as urinary purified extracts (u-Gona) and recombinants (r-Gona). Objectives:We investigated if socio-demographic characteristics of treated women, year of dispensation and type of prescriber may play a role in the choice of a treatment with respect to the other. Methods From administrative healthcare databases, we collected claims of Gona for women, aged 18-45, enrolled in the health care system in the year preceding the first prescription (years 2009-2018). Treatment cycles were defined as a 21-day mobile time window. We identified three groups: u-Gona, r-Gona and treatment with both formulations (m-Gona). To identify determinants, we linked women with the socio-economic position (SEP), a composite deprivation index, based on the 2011 Italian Census data,categorized in 4 levels (high, medium-high, medium-low, low). We associated prescriptions with the type of prescriber, distinguishing between specialists and general practitioners. Results We retrieved 38,598 Gona treatment cycles prescribed to 23,412 women and distributed between formulations as follows: r-Gona 47.4%, u-Gona 26.3% and m-Gona 26.3%. The median age was 38 years for r-Gona and u-Gona, 39 for m-Gona. Comparing the type of prescriber, specialists were more likely to prescribe u-Gona instead of r-Gona (OR: 2.14; 95%CI: 2.02-2.27) than general practitioners. No relation was found between SEP and Gona formulations, except for patients with the highest level who were more likely to be prescribed with r-Gona instead of u-Gona (OR: 1.12; 95%CI: 1.03-1.21). Time trends showed that treatment choices changed over time. Conclusions In the Lazio region, the choice of gonadotropin formulations varied over time and was found to be related to the prescriber and partly to socio-economic position. An analysis of outcomes related to different treatments is under way. Key messages More and more women are using artificial insemination techniques; it is important to monitor fertility drug use patterns and determinants of the choice of a treatment. The use of fertility drugs is a multifactorial phenomenon and a matter of public health interest.

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