Elyaszadeh Shahla, Gardashkhani Sevda, Heidarzadeh Mehdi
Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
Department of Medical-Surgical Nursing, Nursing and Midwifery School, Ardabil University of Medical Sciences, Ardabil, Iran.
J Caring Sci. 2024 May 14;13(3):167-172. doi: 10.34172/jcs.33239. eCollection 2024 Oct.
The use of a predictive scale for acute coronary syndrome (ACS) can play an essential role in screening high-risk individuals. This study aimed to develop the ACS predictive scale (ACS-PS) and investigate its construct validity, reliability, sensitivity and specificity.
This was a retrospective methodological study with the aim of developing a predictive scale for ACS in Iran in 2019. In this study, the content validity (content validity index [CVI] and content validity ratio [CVR]), construct validity, sensitivity, specificity, cutoff point and internal consistency of the 13-item scale for predicting ACS (in Persian) were investigated. Participants included patients with a definite diagnosis of ACS (n=150) and a healthy group without ACS (n=143).
The score range of the 13-item scale was 0-130, and with a cutoff point of 11.5, both the sensitivity and specificity of the scale were 0.75. Cronbach's alpha coefficient was 0.80.
The present study introduced a sensitive and specific scale for predicting ACS. The ACS-PS is a partially short-form scale and requires less time to complete.
使用急性冠状动脉综合征（ACS）预测量表在筛查高危个体方面可发挥重要作用。本研究旨在开发ACS预测量表（ACS-PS）并调查其结构效度、信度、敏感性和特异性。
这是一项回顾性方法学研究，旨在2019年为伊朗开发一种ACS预测量表。在本研究中，对预测ACS的13项量表（波斯语）的内容效度（内容效度指数[CVI]和内容效度比率[CVR]）、结构效度、敏感性、特异性、截断点和内部一致性进行了调查。参与者包括确诊为ACS的患者（n=150）和无ACS的健康组（n=143）。
13项量表的得分范围为0-130，截断点为11.5时，该量表的敏感性和特异性均为0.75。克朗巴哈α系数为0.80。
本研究引入了一种用于预测ACS的敏感且特异的量表。ACS-PS是一种部分简表，完成所需时间较少。
