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  • 标题:The Minnesota living with heart failure questionnaire: comparison of different factor structures
  • 本地全文:下载
  • 作者:Amaia Bilbao ; Antonio Escobar ; Lidia García-Perez
  • 期刊名称:Health and Quality of Life Outcomes
  • 印刷版ISSN:1477-7525
  • 电子版ISSN:1477-7525
  • 出版年度:2016
  • 卷号:14
  • 期号:1
  • 页码:23
  • DOI:10.1186/s12955-016-0425-7
  • 语种:English
  • 出版社:BioMed Central
  • 摘要:The Minnesota Living with Heart Failure Questionnaire (MLHFQ) is one of the most widely used health-related quality of life questionnaires for patients with heart failure (HF). It provides scores for two dimensions, physical and emotional, and a total score. However, there are some concerns about its factor structure and alternatives have been proposed, some including a third factor representing a social dimension. The objectives of the present study were to analyze the internal structure of the MLHFQ and the unidimensionality of the total score, and to compare the different factor structures proposed. The MLHFQ was given to 2565 patients with HF. The structural validity of the questionnaire was assessed by confirmatory factor analysis (CFA), and Rasch analysis. These two approaches were also applied to the alternative structures proposed. The CFA results for the hypothesized model of two latent factors and the Rasch analysis confirmed the adequacy of the physical and emotional scales. Rasch analysis for the total score showed only two problematic items. The results of the CFA for other two-factor structures proposed were not better than the results for the original structure. The Rasch analyses applied to the different social factors yielded the best results for Munyombwe’s social dimension, composed of six items. Our results support the validity of using the MLHFQ physical, emotional and total scores in patients with HF, for clinical practice and research. In addition, they confirmed the existence of a third factor, and we recommend the use of Munyombwe’s social factor.
  • 关键词:Minnesota living with heart failure questionnaire ; Heart failure ; Health-related quality of life ; Factor analysis ; Rasch analysis ; Psychometric properties
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