Risk-based versus alternative algorithms for antibiotic prophylaxis among women seeking early suction abortion: a cost-effectiveness simulation.

摘要: Background: Particularly in resource-poor settings, simple, inexpensive, and cost-effective algorithms are needed to direct antibiotic prophylaxis prevent sequelae of infections with Chlamydia trachomatis, Neisseria gonorrhoeae, bacterial vaginosis-associated organisms among women undergoing abortion. Goal: To assess the prevalence risk factors for seeking abortion Bali, Indonesia, use these data designing a risk-based algorithm. Study Design: A cross-sectional analysis data-based simulation alternative were performed. Results: The algorithm would have provided 70% (95% CI, 53-83%) cervical infection, 64% 54-74%) those vaginosis, 57% 42-72%) trichomoniasis. For was more cost effective than all others evaluated. cost-effectiveness acceptable vaginosis. Conclusions: Risk-based may be identifying likely benefit from preabortion prophylaxis. Prospective evaluation is validate findings.