妊娠期子宫破裂预警风险评估工具的构建及信效度检验

    Construction of a warning risk assessment tool for uterine rupture in pregnancy and its reliability and validity testing

    • 摘要:
      目的 构建适用于我国的妊娠期子宫破裂预警风险评估工具并检验其信效度。
      方法 通过查阅文献、病例分析和小组讨论, 初步拟定风险评估指标体系条目池, 采用德尔菲专家咨询法和预调查, 形成最终的妊娠期子宫破裂预警风险评估工具。
      结果 妊娠期子宫破裂预警风险评估工具包括一般情况、病史情况、症状和体征、相关检查4个维度、27个条目。量表的Cronbach's α系数为0.760, 重测信度为0.879, 总量表的评定者间信度为0.940;量表的内容效度为0.920, 各维度得分和总分相关系数为0.658~0.808, 各条目之间的相关性系数为0.557~0.780;探索性因子分析提取6个公因子, 方差累计贡献率为70.17%。
      结论 构建的妊娠期子宫破裂预警风险评估工具内容可靠、科学, 将有助于急诊科护士快速、准确识别子宫破裂的高危病人, 对提高临床危重孕产妇救治能力, 减少子宫破裂的发生, 降低母婴死亡率具有重要的临床指导意义。

       

      Abstract:
      Objective To construct a warning risk assessment tool for uterine rupture during pregnancy in China and test its reliability and validity.
      Methods The evaluation index system was preliminarily constructed by literature review, cases analysis and group discuss, developed the assessment tool by Delphi method and pre-investigation.
      Results The warning risk assessment tool for uterine rupture during pregnancy included 4 dimensions (general information, medical history, symptoms and signs, and related tests) and 27 items.The Cronbach's α coefficient of the scale was 0.760, the retest reliability was 0.879, and the inter-rater reliability was 0.940.The content validity of the scale was 0.920, the correlation coefficient between the scores of each dimension and the total score was 0.658-0.808, and the correlation coefficient between each item was 0.557-0.780.Six factors were extracted in the factor analysis and the accumulated variance contribution rate was 70.17%.
      Conclusions The content of risk assessment tool of uterine rupture during pregnancy constructed is reliable, scientific and complete, which will help nurses in emergency department to rapidly and accurately identify high-risk patients with uterine rupture.It has important clinical guiding significance for improving the treatment ability of clinical critically pregnant women, reducing the incidence of uterine rupture, and reducing maternal and infant mortality rates.

       

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