Asadi Leila, Beigi Marjan, Valiani Mahbube, Mardani Fardin
M.S. Student of Midwifery Care Research Center, Faculty of Nursing and Midwifery, Isfahan University of Medical Sciences, Isfahan, Iran.
Faculty of Nursing and Midwifery, Yazd University of Medical Sciences and Research Center for Nursing and Midwifery Care, Yazd, Iran.
Iran J Nurs Midwifery Res. 2017 Jul-Aug;22(4):313-318. doi: 10.4103/ijnmr.IJNMR_75_16.
Medical errors are the main concerns in health systems, which considering their ascending rate in the recent years, especially in the field of midwifery, have caused a medical crisis. Considering the importance of evidence-based health services as a way to improve health systems, the aim of this study was to suggest a guideline for preventing malpractice in midwifery services.
In this cross-sectional study that was conducted in 2013, we investigated 206 cases that were referred to the Isfahan Legal Medicine Organization and Medical Council of Forensic Medicine from 2006-2011. Data were collected by a checklist and were analyzed using SPSS-16 software. Descriptive statistical tests (mean, maximum, minimum, standard deviation, frequency, and percentage agreement) were used to describe the data. Then, we used the Delphi technique with the participation from 17 experts in midwifery, gynecology, and legal medicine to provide an evidence-based draft guideline for prevention of midwifery errors.
A total of 206 cases were reviewed. In 66 cases (32%) the verdict for malpractice in midwifery services was approved. A practical draft guideline for preventing clinical errors for midwifery in the fields of pregnancy, delivery, and postpartum period was developed.
This evidence-based draft guideline can improve the attention of all the healthcare providers, especially midwives and physicians to prevent urgent problems and offer effective health services for mothers and infants.
医疗差错是卫生系统的主要关注点，鉴于其近年来呈上升趋势，尤其是在助产领域，已引发了一场医疗危机。考虑到循证卫生服务作为改善卫生系统的一种方式的重要性，本研究的目的是提出一份预防助产服务中医疗事故的指南。
在这项于2013年开展的横断面研究中，我们调查了2006年至2011年期间转诊至伊斯法罕法医学组织和法医学医学委员会的206例病例。通过一份清单收集数据，并使用SPSS - 16软件进行分析。描述性统计测试（均值、最大值、最小值、标准差、频率和百分比一致性）用于描述数据。然后，我们采用德尔菲技术，邀请了17位助产、妇科和法医学领域的专家参与，以制定一份基于证据的预防助产差错的指南草案。
共审查了206例病例。其中66例（32%）助产服务医疗事故的裁决获得通过。制定了一份关于预防妊娠、分娩和产后期临床差错的助产实用指南草案。
这份基于证据的指南草案可以提高所有医疗服务提供者，尤其是助产士和医生对预防紧急问题的关注度，并为母婴提供有效的卫生服务。
