Bassas Rasha A, Alharbi Mohammad Saleh, Al Harbi Shatha S
Family and Community Medicine, Security Forces Hospital, Riyadh, SAU.
General Surgery, Riyadh Third Health Cluster, Riyadh, SAU.
Cureus. 2025 Jun 17;17(6):e86233. doi: 10.7759/cureus.86233. eCollection 2025 Jun.
Fertility awareness-based methods (FABMs) have been used for a long time for family planning. This systematic review evaluates the efficacy and outcomes of various FABMs used for family planning. For this systematic review, a literature search was carried out in PubMed, Web of Science, CINAHL Ultimate, and Google Scholar. The inclusion criteria included women aged 18-49 undergoing FABMs for either contraception or to conceive. The search was limited from 2014 to 2024. The risk of bias was assessed using the Newcastle-Ottawa Scale (NOS) and the Revised Cochrane risk of bias tool for randomized trials (ROB2). A total of 16 studies, including 20,339 participants, were included. The age of the participants ranged from 18 to 47 years. Regarding study design, 11 were prospective, two were retrospective, two were randomized, and one was a longitudinal study. The average success rate of all FABMs was 69.5%. In five studies, the success rate was above 90%. Among factors that influenced the success rate were the timing of intercourse and adherence to method protocols. FABMs are effective tools for enhancing the success rate of family planning. However, FABMs when enhanced with digital technology are particularly effective for both contraception and conception. Adequate user education and consistent application are essential to optimize outcomes.
基于生育意识的方法（FABMs）长期以来一直用于计划生育。本系统评价评估了用于计划生育的各种FABMs的疗效和结果。对于本系统评价，在PubMed、科学网、CINAHL Ultimate和谷歌学术上进行了文献检索。纳入标准包括年龄在18至49岁之间接受FABMs进行避孕或受孕的女性。检索时间限制在2014年至2024年。使用纽卡斯尔-渥太华量表（NOS）和随机试验的修订版Cochrane偏倚风险工具（ROB2）评估偏倚风险。共纳入16项研究，包括20339名参与者。参与者的年龄在18至47岁之间。关于研究设计，11项为前瞻性研究，2项为回顾性研究，2项为随机研究，1项为纵向研究。所有FABMs的平均成功率为69.5%。在五项研究中，成功率超过90%。影响成功率的因素包括性交时间和对方法方案的依从性。FABMs是提高计划生育成功率的有效工具。然而，当FABMs与数字技术相结合时，对避孕和受孕都特别有效。充分的用户教育和持续应用对于优化结果至关重要。
