Tailored expectant management: risk factors for non-adherence

Hum Reprod. 2011 Jul;26(7):1784-9. doi: 10.1093/humrep/der123. Epub 2011 Apr 30.

Abstract

Introduction: Prediction models for spontaneous pregnancy are useful tools to prevent overtreatment, complications and costs in subfertile couples with a good prognosis. The use of such models and subsequent expectant management in couples with a good prognosis are recommended in the Dutch fertility guidelines, but not fully implemented. In this study, we assess risk factors for non-adherence to tailored expectant management.

Methods: Couples with mild male, unexplained and cervical subfertility were included in this multicentre prospective cohort study. If the probability of spontaneous pregnancy within 12 months was ≥40%, expectant management for 6-12 months was advised. Multivariable logistic regression was used to identify patient and clinical characteristics associated with non-adherence to tailored expectant management.

Results: We included 3021 couples of whom 1130 (38%) had a ≥40% probability of a spontaneous pregnancy. Follow-up was available for 1020 (90%) couples of whom 214 (21%) had started treatment between 6 and 12 months and 153 (15%) within 6 months. A higher female age and a longer duration of subfertility were associated with treatment within 6 months (OR: 1.06, 95% CI: 1.01-1.1; OR: 1.4; 95% CI: 1.1-1.8). A fertility doctor in a clinical team reduced the risk of treatment within 6 months (OR: 0.62; 95% CI: 0.39-0.99).

Conclusions: In couples with a favorable prognosis for spontaneous pregnancy, there is considerable overtreatment, especially if the woman is older and duration of the subfertility is longer. The presence of a fertility doctor in a clinic may prevent early treatment.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Female
  • Fertilization
  • Humans
  • Infertility / diagnosis
  • Infertility / therapy*
  • Logistic Models
  • Male
  • Maternal Age
  • Multivariate Analysis
  • Netherlands
  • Pregnancy
  • Pregnancy Rate
  • Probability
  • Prognosis
  • Reproductive Techniques, Assisted / statistics & numerical data*
  • Risk Factors
  • Socioeconomic Factors