Effective training program for antenatal diagnosis of placenta accreta spectrum disorder

Author:

Watcharasin Pattharapa1ORCID,Pranpanus Savitree1ORCID,Suwannanon Ruedeekorn2ORCID,Rajaborirug Songyos3ORCID

Affiliation:

1. Department of Obstetrics and Gynecology, Faculty of Medicine Prince of Songkla University Hat Yai Thailand

2. Department of Radiology, Faculty of Medicine Prince of Songkla University Hat Yai Thailand

3. Epidemiology Unit, Faculty of Medicine Prince of Songkla University Hat Yai Thailand

Abstract

AbstractObjectiveTo develop and evaluate a training program for diagnosing placenta accreta spectrum (PAS) disorder in obstetrics/gynecology and radiology residents.MethodsThis single‐center prospective study was based on 177 ultrasound images of pathologically confirmed PAS extracted from 534 cases of placenta previa suspicious for PAS. First‐ to third‐year residents were evaluated before training to assess experience and ability to diagnose PAS. They attended a principal lecture followed by weekly self‐study exercises over 5 weeks. Post‐course tests evaluated the efficacy of the training program for improving diagnosis of PAS after the program.ResultsTwenty‐three (38.3%) obstetrics/gynecology and 37 (61.7%) radiology residents were trained. Before the training program, 98.3% reported minimal experience and 100% low confidence to correctly diagnose PAS. During the program, the overall accuracy of all participants in diagnosing PAS increased from 71.3% before to 95.2% after training (P < 0.001). Regression analyses showed that ability to diagnose PAS increased 2.52‐fold (P < 0.001) following the program. The retention of knowledge at 1, 3, and 6 months posttest was 84.7%, 87.5%, and 87.7%, respectively.ConclusionAn antenatal diagnosis of PAS training program can be effective as a residency training program, considering the globally rising cesarean delivery rates.

Publisher

Wiley

Subject

Obstetrics and Gynecology,General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3