Psychometric Evaluation of the Mandarin HeartQoL Health-Related Quality of Life Questionnaire Among Patients With Ischemic Heart Disease in China

Abstract

Objectives

This study evaluated the psychometric properties of the Mandarin version of the HeartQoL questionnaire, a core ischemic heart disease (IHD) health-related quality of life (HRQL) instrument, in patients with angina, myocardial infarction (MI), and ischemic heart failure (IHF).

Methods

The English version of HeartQoL was translated into Mandarin. A cross-sectional study was then conducted in mainland China using the Mandarin HeartQoL, Short Form-12 Health Survey, and Hospital Anxiety and Depression Scale. Factor analysis was used to establish the HeartQoL structure and internal consistency reliability and construct validity were assessed.

Results

Patients with IHD (n = 412; angina = 112, MI = 151, and IHF = 149) were enrolled. Significantly higher HeartQoL HRQL scores were reported by patients with either angina or MI than by patients with IHF. The 2-factor structure was confirmed by Mokken scale analysis in the total group with strong H coefficients on the global scale (0.64) and both the physical (0.70) and emotional (0.80) subscales. Internal consistency reliability was strong with Cronbach’s α ranging from 0.90 to 0.95. Convergent validity was confirmed with strong correlations between similar physical and mental HeartQoL and Short Form-12 Health Survey subscales ranging from 0.77 to 0.82 with divergent validity confirmed with significantly lower correlations between dissimilar constructs. Discriminative validity was confirmed for 72% of the a priori sociodemographic and clinical hypotheses.

Conclusions

The Mandarin version of the HeartQoL HRQL questionnaire demonstrates acceptable internal consistency reliability and convergent, divergent, and discriminative validity in patients with IHD and in each diagnostic subgroup. The data support the use of the HeartQoL to assess and compare HRQL in Mandarin-speaking patients with IHD.

Authors

Luan Luan Hao Hu Neil B. Oldridge Fei-Li Zhao Lan Gao Stefan Höfer Feng Xie Shu-Chuen Li

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