Easily accessible contraceptive methods, such as chemical
and barrier methods, are currently used by about one in six U.S. women using
contraception. Even in the face of suboptimal effectiveness, coitally dependent
methods will likely always have a role in fertility management. As most
contraceptive efficacy stratifications use population based data, in order for
women to make informed decisions about the individual fit of a contraceptive
method, better evidence-based, user-friendly tools are needed.
Spermicides are a readily-available, over-the counter,
woman-controlled contraceptive method, but their effectiveness is
user-dependent. Patient decision aids for spermicides and other barrier methods
are not well developed and overall failure-rates could be improved by aids that
account for individual characteristics. We sought to derive a prediction rule
for successful use of spermicides for pregnancy prevention and to convert these
data to a point-of-care instrument that women can use when considering
spermicide use during contraceptive decision-making.
We pooled local data from three randomized clinical trials
published in 2004, 2007, and 2010 that tested spermicide efficacy. We
constructed a prediction rule for unintended pregnancy using bootstrap
validation, and developed a scoring system.
Data from 621 women showed a mean age of 29 years; 49% were
African-American and 43% Caucasian. The overall pregnancy rate was 10.3% over six months. In adjusted logistic regression, age >35 was
protective against pregnancy and multi-gravidity
was associated with high failure rates.
These risk factors (together with frequency of unprotected sex) were used in a
model that maximized sensitivity for pregnancy prediction to compute the
predicted probability of unintended pregnancy for each woman. This model was
97% accurate in predicting women who had a <5% pregnancy risk while using
spermicides.
Using prospectively collected data, we built a simple risk
calculator for contraceptive failure that women can consult when considering
spermicide use. This instrument could support patient-centered contraceptive
decision-making.
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By: Schreiber CA1, Ratcliffe SJ2, Sammel MD2, Whittaker PG3.
- 1Penn Family Planning and Pregnancy Loss Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: schreibe@upenn.edu.
- 2Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
- 3Penn Family Planning and Pregnancy Loss Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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