Department of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, China.
School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
BMC Pregnancy Childbirth. 2022 Mar 27;22(1):257. doi: 10.1186/s12884-022-04574-6.
Childbirth preparation plays an important role in reducing maternal mortality and improving women's childbirth experience. Evaluating childbirth readiness levels before and after interventions provides a basis for formulating more targeted and effective interventions. However, existing tools only assess partial childbirth preparation or have limited evidence of reliability and validity. The aim of this study was thus to develop a new instrument for use during the third trimester to comprehensively assess the readiness level of pregnant women, and test the scale's psychometric properties.
The scale was developed through exploratory mixed methods including qualitative and quantitative phases. A literature review and in-depth semi-structured interviews were utilized to identify the scale items. A Delphi expert consultation evaluated the content validity. Psychometric testing was conducted in a convenience sample of 731 pregnant women in the third trimester (recruited from 3 tertiary hospitals in Hubei province in China). Item analysis was used to screen items; exploratory factor analysis was performed to extract factors; confirmatory factor analysis was performed to evaluate fit on the factor structures.
The final scale consisted of four dimensions and 18 items that explained 65.8% of the total variance. Confirmative factor analysis (CFA) model showed that the 4-factor model fits the data well. The total Cronbach alpha coefficient of the total scale and 4 factors was 0.935 and 0.853-0.914. The split-half reliability was 0.880. The dimensions comprised "Self-management", "Information literacy", "Birth confidence" and "Birth plan".
The childbirth readiness scale we developed has good reliability and validity, and can be used to comprehensively assess the readiness level of pregnant women. In addition to understanding the overall level of women's childbirth readiness, using subscale scores, improvements can be targeted to specific areas of the preparation for childbirth, to improve the efficiency of the intervention.
分娩准备在降低孕产妇死亡率和改善妇女分娩体验方面发挥着重要作用。评估干预前后的分娩准备水平为制定更有针对性和更有效的干预措施提供了依据。然而,现有的工具仅评估部分分娩准备情况,或者可靠性和有效性的证据有限。因此,本研究旨在开发一种新的工具,用于评估孕妇的准备程度,并检验该量表的心理测量学特性。
该量表通过探索性混合方法(包括定性和定量阶段)开发。通过文献回顾和深入的半结构式访谈,确定了量表条目。德尔菲专家咨询评估了内容效度。采用便利抽样法,对来自中国湖北省 3 所三级医院的 731 名孕晚期妇女进行心理测量学测试。通过项目分析筛选条目;通过探索性因子分析提取因子;通过验证性因子分析评估因子结构的拟合度。
最终的量表包括 4 个维度和 18 个条目,解释了总方差的 65.8%。验证性因子分析(CFA)模型显示,4 因子模型拟合数据较好。总量表和 4 个因子的 Cronbach α 系数为 0.935 和 0.853-0.914。分半信度为 0.880。维度包括“自我管理”、“信息素养”、“分娩信心”和“分娩计划”。
我们开发的分娩准备量表具有良好的信度和效度,可以全面评估孕妇的准备水平。除了了解女性分娩准备的总体水平外,使用子量表评分可以针对分娩准备的特定领域进行有针对性的改进,从而提高干预效率。