Blackman Ian, Hadjigeorgiou Eleni, McNeill Liz
College of Nursing and Health Sciences, Flinders University, Marion, Australia.
Nursing Department, Faculty of Health Sciences, Cyprus University of Technology, Limassol, Cyprus.
Eur J Midwifery. 2020 Oct 29;4:41. doi: 10.18332/ejm/127769. eCollection 2020.
The incidences and types of missed nursing care in the acute care and community sectors are both ubiquitous and quantifiable, however, there are few research studies relating to the type and frequency of missed maternity-based care for mothers and families. The aim of this study is to estimate the incidences and types of Australian missed midwifery care and to identify those factors that have causal links to it.
A non-experimental, descriptive method using a Likert developed MISSCARE scale was used to ascertain consensus estimates made by Australian midwives. Electronic invitations were extended to their membership using an inclusive link to the MISSCARE survey. Inclusion criteria were all ANMF members who were midwives and currently employed within the Australian public and private healthcare systems. Data analysis was undertaken using both Rasch analysis and Structural Equation Modelling.
The type and frequency of missed Australian midwifery care can be quantified and several demographic factors are significant predictor variables for overall missed midwifery care. The most prevalent aspects of missed care in the Australian midwifery setting are midwives' hand hygiene, supportive care, perinatal education, and surveillance type midwifery practices.
As the frequencies and types of missed midwifery care in Australia have been identified, it is possible for midwives to be mindful of minimising care omissions related to hand hygiene, providing supportive care and education to mothers as well as surveillance-type midwifery practices.
急症护理和社区护理中漏护的发生率和类型既普遍存在又可量化，然而，关于针对母亲和家庭的基于孕产护理的漏护类型和频率的研究却很少。本研究的目的是估计澳大利亚助产士漏护的发生率和类型，并确定与之有因果关系的因素。
采用一种使用李克特开发的MISSCARE量表的非实验性描述性方法，以确定澳大利亚助产士做出的共识估计。通过向其成员发送电子邀请，提供MISSCARE调查的包容性链接。纳入标准是所有澳大利亚助产士协会（ANMF）成员，他们是助产士，目前受雇于澳大利亚公共和私营医疗系统。数据分析采用拉施分析和结构方程模型。
澳大利亚助产士漏护的类型和频率可以量化，几个人口统计学因素是总体助产士漏护的重要预测变量。澳大利亚助产士护理中最普遍的漏护方面是助产士的手卫生、支持性护理、围产期教育和监测类助产实践。
由于已确定澳大利亚助产士漏护的频率和类型，助产士有可能注意尽量减少与手卫生相关的护理遗漏，为母亲提供支持性护理和教育以及监测类助产实践。
