Measuring quality of life of Chinese cancer patients

Yu, Clara L. M.; Fielding, Richard; Chan, Cecilia L. W.; Tse, Vincent K. C.; Choi, Peter; Lau, W.S.; Choy, D.; O, S. K.; Lee, Anne W.M.; Sham, Jonathan S. T.

doi:10.1002/(sici)1097-0142(20000401)88:7<1715::aid-cncr28>3.0.co;2-k

Cited by 120 publications

(32 citation statements)

References 17 publications

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“…The finding that socioeconomic status had significant indirect effects on quality of life through both the symptom experience and perceived general health in both groups agrees with some studies on the quality of life of cancer patients (Awadalla et al, 2007; Mols et al, 2005; Sarna, 1993; Yu et al, 2000), but disagrees with others (Arndt, Stegmaier, Ziegler, & Brenner, 2006; Ashing-Giwa & Lim, 2010). The literature is inconsistent about the association of socioeconomic status with the quality of life.…”

Section: Discussionsupporting

confidence: 87%

“…Higher scores mean better quality of life. Cronbach’s alpha of the FACT-G was 0.92 (Cella et al, 1993) and the validity and reliability of the FACT-G have been established across diverse ethnic populations (Mullin et al, 2000; Yu et al, 2000). Cronbach’s alpha of the FACT-G was.70 in the original study (Authors, 2007) and .70 in this secondary analysis.…”

Section: Methodsmentioning

confidence: 99%

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Predictors of Quality of Life in Cancer Survivors: White and Asian American Women

2014

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The purpose of this study is to compare the pathways through which multiple contextual factors influence the quality of life in Asian American and White women living with cancer. This is a secondary analysis of the data from 95 Asian American women and 113 White women. The data were analyzed using hierarchical multiple regression analyses and structural equation modeling. Multiple factors explained higher percent of total variances of the quality of life scores in Whites compared with that in Asian Americans.

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Section: Discussionsupporting

confidence: 87%

Section: Methodsmentioning

confidence: 99%

Predictors of Quality of Life in Cancer Survivors: White and Asian American Women

2014

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“…Reliability and validity of the multidimensional pain scales use in multi-ethnic groups were verified in previous studies for the MPQ-SF, 17–18 the BPI-SF, 18–19 and the FACT-G. 11–20 …”

Section: Methodssupporting

confidence: 52%

Consistency and Accuracy of Multiple Pain Scales Measured in Cancer Patients From Multiple Ethnic Groups

et al. 2015

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Background Standardized pain-intensity measurement across different tools would enable practitioners to have confidence in clinical decision-making for pain management. Objectives The purpose was to examine the degree of agreement among unidimensional pain scales, and to determine the accuracy of the multidimensional pain scales in the diagnosis of severe pain. Methods A secondary analysis was performed. The sample included a convenience sample of 480 cancer patients recruited from both the internet and community settings. Cancer pain was measured using the Verbal Descriptor Scale (VDS), the Visual Analog Scale (VAS), the Faces Pain Scale (FPS), the McGill Pain Questionnaire-Short Form (MPQ-SF) and the Brief Pain Inventory-Short Form (BPI-SF). Data were analyzed using a multivariate analysis of variance (MANOVA) and a receiver operating characteristics (ROC) curve. Results The agreement between the VDS and VAS was 77.25%, while the agreement was 71.88% and 71.60% between the VDS and FPS, and VAS and FPS, respectively. The MPQ-SF and BPI-SF yielded high accuracy in the diagnosis of severe pain. Cutoff points for severe pain were > 8 for the MPQ-SF and > 14 for the BPI-SF, which exhibited high sensitivity and relatively low specificity. Conclusion The study found substantial agreement between the unidimensional pain scales, and high accuracy of the MPQ-SF and the BPI-SF in the diagnosis of severe pain. Implications for Practice Use of one or more pain screening tools that have been validated diagnostic accuracy and consistency will help classify pain effectively and subsequently promote optimal pain control in multi-ethnic groups of cancer patients.

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“…The convergent validity of the FACT-G (Chi) with the Hong Kong Chinese version of the World Health Organization's QoL measure was 0.72 (P G .001), and the divergent validity showed low correlations of less than 0.15 (P G .005) with nonQoL measures. 24 …”

Section: Methodsmentioning

confidence: 99%

Perceived Unmet Needs and Health-Related Quality of Life of Chinese Cancer Survivors at 1 Year After Treatment

Chan

Choi

et al. 2013

Cancer Nursing

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Measuring quality of life of Chinese cancer patients

Cited by 120 publications

References 17 publications

Predictors of Quality of Life in Cancer Survivors: White and Asian American Women

Predictors of Quality of Life in Cancer Survivors: White and Asian American Women

Consistency and Accuracy of Multiple Pain Scales Measured in Cancer Patients From Multiple Ethnic Groups

Perceived Unmet Needs and Health-Related Quality of Life of Chinese Cancer Survivors at 1 Year After Treatment

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