Student Research Committee, School of Nursing and Midwifery, Shahroud University of Medical Sciences, Shahroud, Iran.
Faculty Member of School of Medicine, Golestan University of Medical Sciences, Gorgan, Iran.
J Obstet Gynaecol. 2022 Aug;42(6):1642-1652. doi: 10.1080/01443615.2022.2071604. Epub 2022 Jun 7.
Dropout of infertility treatments is a common phenomenon and many patients avoid continuing infertility treatments. Determining the total rate of treatment dropout, and related factors was the objective of the present systematic review and meta-analysis study. We performed an electronic literature search in Web of Science, Scopus, Embase, Cinhal, ProQuest and Medline databases and a manual search in Google scholar by using a set of Standard keywords. We included descriptive studies in English or Persian, from August 2000 to 2019. Finally, we extracted data of 25 papers for systematic review and 11 papers for meta-analysis. Data analysed by RevMan software. The results of the meta-analysis analysed by the random-effects model and studies heterogeneity analysed using the I2 calculation index. We tried to control high heterogeneity (because of the small amounts of value and chi-square and large amount of I2) with statistical methods such as subgroup analysis and using random-effects model. The results showed that factors related to treatment, psychological and demographic/personal factors are the most common factors for dropout. It seems that educational and supportive programs on psychological, financial, therapeutic, demographic and personal factors can play an important role in reducing the incidence of infertility treatment's drop out before completing the course of treatment.
不孕治疗的脱落是一个常见的现象,许多患者避免继续不孕治疗。本系统评价和荟萃分析研究的目的是确定治疗脱落的总发生率和相关因素。我们在 Web of Science、Scopus、Embase、Cinhal、ProQuest 和 Medline 数据库中进行了电子文献检索,并在 Google Scholar 中使用了一套标准关键词进行了手动检索。我们纳入了 2000 年 8 月至 2019 年发表的英文或波斯语描述性研究。最后,我们对 25 篇论文进行了系统评价,对 11 篇论文进行了荟萃分析。使用 RevMan 软件分析数据。荟萃分析的结果采用随机效应模型分析,研究异质性采用 I2 计算指数分析。我们试图通过亚组分析和使用随机效应模型等统计方法来控制高异质性(由于 值和卡方较小,I2 较大)。结果表明,与治疗相关的因素、心理因素和人口统计学/个人因素是脱落的最常见因素。似乎对心理、经济、治疗、人口统计学和个人因素的教育和支持计划可以在完成治疗过程前降低不孕治疗脱落的发生率方面发挥重要作用。