Moshki Mahdi, Hashemizadeh Haydeh, Khajavi Abdoljavad, Minaee Shima, Vakilian Farveh
Social Development and Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, Iran.
Department of Community Medicine, School of Medicine, Gonabad University of Medical Sciences, Gonabad, Iran.
J Tehran Heart Cent. 2018 Jul;13(3):144-152.
Unraveling the relationship between health-related quality of life (HRQOL) instruments and the International Classification of Functioning, Disability, and Health (ICF) seems essential due to the increasing importance of quality of life evaluations in patients with heart failure (HF) and the use of the ICF for comparative purposes. The aim of this study is to identify and compare the content of HRQOL instruments for HF using the ICF coding system. In a 2-stage design, first we will identify all measures used to assess HRQOL for patients with HF and second we will compare the content of those measures using the ICF coding system. Systematic search will be performed in in MEDLINE, CINAHL, and Scopus databases using a combination of free texts and MeSH terms between January 1960 and January 2017. All instruments will be linked to the ICF separately by 2 reviewers according to 10 linking rules developed for this purpose. The degree of agreement between the reviewers will be calculated via the kappa statistic. The results of this study may help clinicians and researchers to select the most appropriate outcome measure according to the ICF-based content validity.
鉴于生活质量评估在心力衰竭（HF）患者中日益重要，且国际功能、残疾和健康分类（ICF）用于比较目的，阐明健康相关生活质量（HRQOL）工具与ICF之间的关系似乎至关重要。本研究的目的是使用ICF编码系统识别和比较HF患者HRQOL工具的内容。在两阶段设计中，首先我们将识别用于评估HF患者HRQOL的所有测量方法，其次我们将使用ICF编码系统比较这些测量方法的内容。将在1960年1月至2017年1月期间，使用自由文本和医学主题词（MeSH）的组合，在MEDLINE、CINAHL和Scopus数据库中进行系统检索。两位评审员将根据为此目的制定的10条关联规则，分别将所有工具与ICF进行关联。评审员之间的一致程度将通过kappa统计量进行计算。本研究结果可能有助于临床医生和研究人员根据基于ICF的内容效度选择最合适的结局测量方法。
