RASCH analysis to analyze anxiety assessment instruments In Postpartum Mothers

Desy Linasari, Lani Gumilang
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Abstract

Globally, an estimated 20% of birthing women experience postpartum Anxiety. Women, after childbirth, require both physical and psychological adaptation. If not treated immediately, then postpartum mothers can experience different anxiety levels. Anxiety in postpartum mothers can harm both mother and baby. Therefore, health workers need to do early detection related to Anxiety. This assessment (Postpartum Specific Anxiety Scale) or PSAS helps health workers assess Anxiety in postpartum mothers starting from the beginning of the puerperium. But, of course, this measuring instrument needs to be analyzed to determine how well this instrument can be used. A Rasch analysis is needed to picture postpartum maternal Anxiety accurately. Rasch analysis is considered to have the advantage of making statistical analysis results more accurate and increasing measurement accuracy. Based on the results of analysis using the Winsteps program, it is known that there are 34 items out of 51 items that meet the item-model accuracy index, with an alpha coefficient of 0.94. The value of the separation item index in this instrument is 3.06. The value of unexplained variance does not exceed 15%, so this instrument is ideal for use. Overall, it can be concluded that the anxiety assessment scale in postpartum mothers, namely PSAS, has good psychometric properties for assessment and research.
用 RASCH 分析法分析产后母亲的焦虑评估工具
据估计,全球有 20% 的分娩妇女经历过产后焦虑。妇女在分娩后需要生理和心理的双重适应。如果不及时治疗,产后妈妈会出现不同程度的焦虑。产后母亲的焦虑会对母亲和婴儿造成伤害。因此,医务工作者需要及早发现焦虑症。产后焦虑量表(PSAS)可以帮助医护人员从产褥期一开始就评估产后母亲的焦虑程度。但是,当然需要对该测量工具进行分析,以确定该工具的使用效果。要准确描绘产后母亲的焦虑,需要进行拉施分析。拉施分析被认为具有使统计分析结果更加准确、提高测量精度的优点。根据 Winsteps 程序的分析结果可知,51 个项目中有 34 个项目符合项目-模型准确性指标,α系数为 0.94。该工具的分离项目指数值为 3.06。未解释方差值不超过 15%,因此该工具非常适合使用。总之,可以得出结论,产后母亲焦虑评估量表(即 PSAS)具有良好的心理测量特性,可用于评估和研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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