The economic burden of infertility treatment and distribution of expenditures overtime in France: a self-controlled pre-post study.

BACKGROUND: Recent cost studies related to infertility treatment have focused on assisted reproductive technologies. None has examined lower-intensity infertility treatments or analyzed the distribution of infertility treatment expenditures over time. The Purpose of the study was to analyse the size and distribution of infertility treatment expenditures over time, and estimate the economic burden of infertility treatment per 10,000 women aged 18 - 50 in France from a societal perspective. METHODS: We used French National individual medico-administrative database to conduct a self-controlled before-after analytic cohort analysis with 556 incidental women treated for infertility in 2014 matched with 9,903 controls using the exact matching method. Infertility-associated expenditures per woman and per 10,000 women over the 3.5-year follow-up period derived as a difference-in-differences. RESULTS: The average infertility related expenditure per woman is estimated at 6,996 (95% CI: 5,755-8,237) euros, the economic burden for 10,000 women at 70.0 million (IC95%: 57.6-82.4) euros. The infertility related expenditures increased from 235 (IC95%: 98-373) euros in semester 0, i.e. before treatment, to 1,509 (IC95%: 1,277-1,741) euros in semester 1, mainly due to ovulation stimulation treatment (47% of expenditure), to reach a plateau in semesters 2 (1,416 (IC95%: 1,161-1,670)) and 3 (1,319 (IC95%: 943-1,694)), where the share of expenses is mainly related to hospitalizations for assisted reproductive technologies (44% of expenditure), and then decrease until semester 6 (577 (IC95%: 316-839) euros). CONCLUSION: This study informs public policy about the economic burden of infertility estimated at 70.0 million (IC95%: 57.6-82.4) euros for 10,000 women aged between 18 and 50. It also highlights the importance of the share of drugs in infertility treatment expenditures. If nothing is done, the increasing use of infertility treatment will lead to increased expenditure. Prevention campaigns against the preventable causes of infertility should be promoted to limit the use of infertility treatments and related costs.

Reproductive health, social life and plans for the future of adolescents growing-up with HIV: a case-control study in Thailand.

Most perinatally HIV-infected children receiving antiretroviral treatment now survive into adolescence. This is a period when young people experience puberty, shape their sexual identity and initiate their own social life. The aim of our analysis was to compare aspects of the sexual and reproductive health, social life and plans for the future of perinatally HIV-infected adolescents (PHIVAs) with a control group from the general population. We used data from the Teens Living with Antiretrovirals (TEEWA) survey carried out from 2010 to 2012 in Thailand among PHIVAs aged 12-19 years. Adolescents completed a self-administered questionnaire focusing on their daily life. Each PHIVA (case) was matched on sex, age and place of residence with a randomly selected adolescent from the general population (control). Analysis was stratified by gender and age; McNemar's test was used to compare cases and controls. A total of 1142 adolescents (571 cases and 571 controls) were included in the analysis, 42% boys and 58% girls. Cases experienced puberty delay compared to controls (p < 0.01). Cases and controls did not differ in terms of sex education, sexual initiation, romantic relationships or friendships, and risky behaviours. However, PHIVAs were less likely to attend the education system (p < 0.01), to plan for marriage (p < 0.01) or parenthood (p < 0.01). PHIVAs do not differ substantially from controls in terms of sexual and social life. Yet, affirmative action policies could help counterbalance their educational handicap. Provision of psychosocial support could enhance their ability to make informed decisions with regards to family formation.

Estimating the success of an in vitro fertilization programme using multiple imputation.

BACKGROUND: The outcome of in vitro fertilization (IVF) has been widely investigated over the last 30 years, but evaluation was mostly based on pregnancy rate per oocyte retrieval. Our objective was to estimate the cumulative live birth rate after four IVF aspirations, using multiple imputation that takes into account treatment interruptions. METHODS: We analysed data from 3037 couples beginning IVF treatment between 1998 and 2002 in two French IVF units. Multiple imputations were used at each aspiration to impute the IVF outcome (delivery or not) for couples who interrupted treatment. The global success rate after four aspirations was then computed. RESULTS: At the first aspiration, 21% of couples obtained a live birth and 24% discontinued treatment. The multiple imputation method provided an estimated cumulative live birth rate at each aspiration as if no couple discontinued treatment: 35% at the second aspiration and 41% at the third. The cumulative success rate after four aspirations was estimated at 46% (95% CI: 44-48%). CONCLUSIONS: Multiple imputation is a promising method for estimating the cumulative success rate of IVF. It could provide new insight on IVF evaluation and should be tested in further studies.

Paternal age: are the risks of infecundity and miscarriage higher when the man is aged 40 years or over?

BACKGROUND: Maternal age of 35 years or over is a well-known risk factor for human reproduction that has been extensively investigated by demographers and epidemiologists. However, the possibility of a paternal age effect has rarely been considered. We carried out review of the literature to investigate the effect of paternal age on the risks of infecundity and miscarriage. METHODS: We carried out a MEDLINE search and checked the exhaustiveness of our reference list. RESULTS: We identified 19 articles analysing the effect of paternal age. Epidemiological studies provided evidence that paternal age older than 35-40 years affects infecundity. However, the few studies based on data from assisted reproductive techniques (especially IVF with ovum donation) do not confirm this finding. All studies analysing the effect of paternal age on the risk of miscarriage showed an increased risk in men aged 35-40 years or over. Other studies have shown some evidence for a paternal age effect on late foetal deaths. CONCLUSION: The risks of infecundity and miscarriage increase with paternal age. Two main hypotheses can be considered. First, these risks increase after the age of 35-40 years. However, a later paternal age effect (after 45-50 years) cannot be excluded. Second, due to the interaction of the ages of the two partners, the risks of infecundity and miscarriage may be higher when both partners are older (woman aged 35 years or over and man aged 40 years or over).

Selection bias in semen studies due to self-selection of volunteers.

BACKGROUND: Reports of a secular decrease in semen quality remain controversial, particularly due to the possibility of selection bias. We aimed to describe the potential bias due to self-selection of volunteers in semen studies involving fecund men. METHODS: Using data from the French multicentre study REPRHOM, we compared the characteristics of the partners of pregnant women for three levels of participation: completion of a refusal questionnaire (n = 698), agreement to complete the study questionnaires only (n = 676) and agreement to complete the study questionnaires and give a semen sample (n = 331, 13% of the subjects approached). RESULTS: Poorly educated men refused more often to participate than highly educated men. Semen providers were more likely to have experienced unfavourable pregnancy outcomes (odds ratio 1.68, 95% confidence interval 1.14-2.49) compared with participants completing the questionnaires only. Time to pregnancy was similar for all participants. CONCLUSIONS: This study demonstrates the existence of selection bias in semen studies associated with fertility and socio-demographic characteristics of men. The results of semen analysis for this population sample cannot be extrapolated to the whole population from which the volunteers originate. More information is required on who participates, and participation rates should be reported in semen studies to make it possible to interpret the results correctly.