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Submitted: 17 Nov 2018
Revised: 20 Jul 2019
Accepted: 02 Aug 2019
First published online: 13 Aug 2019
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J Cardiovasc Thorac Res. 2019;11(3):167-175.
doi: 10.15171/jcvtr.2019.29
  Abstract View: 41
  PDF Download: 43

Review Article

The content comparison of health-related quality of life measures in heart failure based on the international classification of functioning, disability, and health: a systematic review

Mahdi Moshki 1, Abdoljavad Khajavi 2, Farveh Vakilian 3, Shima Minaee 4, Haydeh Hashemizadeh 5 * ORCiD

1 Department of Health Education and Promotion, School of Health; Social Development and Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, Iran
2 Department of Community Medicine, School of Medicine, Gonabad University of Medical Sciences, Gonabad, Iran
3 Department of Cardiology, Preventive Atherosclerotic Research Center, Imam Reza Hospital, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
4 Department of Cardiovascular Diseases, Razavi Hospital, Mashhad, Iran
5 Social Development and Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, Iran

Abstract

Introduction: Due to the necessity of assessing the health-related quality of life (HRQOL) in heart failure (HF) and the increased use of the International Classification of Functioning, Disability, and Health (ICF) for making a content comparison of measurement instruments, the present study aimed to evaluate the relationship between the instruments and ICF. To this aim, the disease-specific HRQOL instruments in HF were identified, and then psychometric properties and content comparison of included instruments were conducted by linking to ICF.
Methods: Disease-specific HRQOL instruments in HF were identified through a comprehensive and systematic search strategy. Then, the psychometric properties of included instruments were determined, and their contents were analyzed and compared based on the ICF coding system. In addition, each instrument was independently linked to ICF by two researchers based on standardized linking rules, and finally their degree of agreement was assessed by the Cohen’s kappa coefficient.
Results: Ten instruments including a total of 247 items and 417 concepts were linked to 124 different ICF categories. Further, 39 (31.5%), 65 (52.5%), 13 (10.4%), and 7 (5.6%) categories were linked to body function, activity and participation, environmental factors, and body structure, respectively. According to the content analysis approach and psychometric properties, the appropriate measurement instruments were Kansas City Cardiomyopathy and Minnesota living with HF questionnaires, respectively.
Conclusion: Content comparison provides researchers with valuable information on the instrument heterogeneity and overlapping, which results in selecting the most appropriate measurement instrument based on a specific clinical context.
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