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论文范文
1. Introduction Quality of life (QoL) measures have become more important for therapeutic interventions and clinical decisions [1, 2], especially for patients with chronic illness [3]. When people with schizophrenia confront their chronic disabling illness, it is important for healthcare professionals to understand their QoL. QoL, a subjective perception of an individual’s health position within their cultural context and value system [4], can be used as one of the long-term goals of medical interventions [3]. Two kinds of QoL measures can be applied to people with schizophrenia: generic QoL measures and schizophrenia-specific QoL measures [5]. Although the schizophrenia-specific QoL measures cannot compare QoLs between different populations with disabilities (e.g., people with stroke and people with spinal cord injury), they focus on the core symptoms that people with schizophrenia encounter [5]. Therefore, the schizophrenia-specific QoL measures are particularly useful for understanding how the symptoms affect the QoL of people with schizophrenia. Several schizophrenia-specific QoL measures have been developed, and the Schizophrenia Quality of Life Scale Revision 4 (SQLS-R4) has been suggested to be one of the most useful ones [5–7]. In addition to its items specifically designed for people with schizophrenia [5, 8], its other strengths include (1) practical and short content to fill out (10–15 minutes to complete); (2) improved psychometric properties after several revisions [6, 9]; (3) solid factor structure and internal reliability [7–12]; and (4) availability of cross-cultural comparisons by providing rigorously translated versions in 52 languages through standardized procedures: forward translation, reconciliation, and back translation [9]. However, as a newly developed QoL measure [8, 11], the construct of SQLS-R4 still needs to be confirmed. Although the SQLS-R4 has good psychometric properties [6, 10, 13], to the best of our knowledge, only one UK study [7] has used confirmatory factor analysis (CFA) to examine the construct of SQLS-R4. The advantage of using CFA is being able to compare several proposed models and to clarify the construct of the tested instruments [14]. Therefore, the CFA is suitable for understanding the constructs of measurements that are under development, such as the SQLS-R4. Although the SQLS-R4 was suggested to be two-dimensional [6, 7, 12, 13], Martin and Allan [7] indicated that some CFA fit indices are not acceptable (root mean square error of approximation [RMSEA] = 0.11 and weighted root mean square residual [WRMR] = 0.94). In addition, one Singaporean study [11] mentions that the cultural difference between Asia and the West may influence the psychometric properties of the SQLS-R4. Thus, the construct of the SQLS-R4 may differ in Asian and Western cultures. Therefore, for better application and interpretation of the SQLS-R4, we suggest that additional studies on the SQLS-R4 construct in Asian populations are needed. ![]() |
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