Abstract
Background: Quality of life (QoL) is important for clinicians to evaluate how cancer survivors judge their sense of well-being, and WHOQOL-BREF may be a good tool for clinical use. However, at least three issues remain unresolved: (1) the psychometric properties of the WHOQOL-BREF for cancer patients are insufficient; (2) the scoring method used for WHOQOL-BREF needs to be clarify; (3) whether different types of cancer patients interpret the WHOQOL-BREF similarly. Methods: We recruited 1000 outpatients with head/neck cancer, 1000 with colorectal cancer, 965 with liver cancer, 1438 with lung cancer and 1299 with gynecologic cancers in a medical center. Data analyses included Rasch models, confirmatory factor analysis (CFA), and Pearson correlations. Results: The mean WHOQOL-BREF domain scores were between 13.34 and 14.77 among all participants. CFA supported construct validity; Rasch models revealed that almost all items were embedded in their expected domains and were interpreted similarly across five types of cancer patients; all correlation coefficients between Rasch scores and original domain scores were above 0.9. Conclusion: The linear relationship between Rasch scores and domain scores suggested that the current calculations for domain scores were applicable and without serious bias. Clinical practitioners may regularly collect and record the WHOQOL-BREF domain scores into electronic health records.
Original language | English |
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Pages (from-to) | 215-222 |
Number of pages | 8 |
Journal | Journal of the Formosan Medical Association |
Volume | 118 |
Issue number | 1P2 |
DOIs | |
Publication status | Published - 2019 Jan |
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All Science Journal Classification (ASJC) codes
- Medicine(all)
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Psychometric evaluation of the WHOQOL-BREF, Taiwan version, across five kinds of Taiwanese cancer survivors : Rasch analysis and confirmatory factor analysis. / Lin, Chung Ying; Hwang, Jing Shiang; Wang, Wen Chung; Lai, Wu Wei; Su, Wu Chou; Wu, Tzu Yi; Yao, Grace; Wang, Jung Der.
In: Journal of the Formosan Medical Association, Vol. 118, No. 1P2, 01.2019, p. 215-222.Research output: Contribution to journal › Article
TY - JOUR
T1 - Psychometric evaluation of the WHOQOL-BREF, Taiwan version, across five kinds of Taiwanese cancer survivors
T2 - Rasch analysis and confirmatory factor analysis
AU - Lin, Chung Ying
AU - Hwang, Jing Shiang
AU - Wang, Wen Chung
AU - Lai, Wu Wei
AU - Su, Wu Chou
AU - Wu, Tzu Yi
AU - Yao, Grace
AU - Wang, Jung Der
PY - 2019/1
Y1 - 2019/1
N2 - Background: Quality of life (QoL) is important for clinicians to evaluate how cancer survivors judge their sense of well-being, and WHOQOL-BREF may be a good tool for clinical use. However, at least three issues remain unresolved: (1) the psychometric properties of the WHOQOL-BREF for cancer patients are insufficient; (2) the scoring method used for WHOQOL-BREF needs to be clarify; (3) whether different types of cancer patients interpret the WHOQOL-BREF similarly. Methods: We recruited 1000 outpatients with head/neck cancer, 1000 with colorectal cancer, 965 with liver cancer, 1438 with lung cancer and 1299 with gynecologic cancers in a medical center. Data analyses included Rasch models, confirmatory factor analysis (CFA), and Pearson correlations. Results: The mean WHOQOL-BREF domain scores were between 13.34 and 14.77 among all participants. CFA supported construct validity; Rasch models revealed that almost all items were embedded in their expected domains and were interpreted similarly across five types of cancer patients; all correlation coefficients between Rasch scores and original domain scores were above 0.9. Conclusion: The linear relationship between Rasch scores and domain scores suggested that the current calculations for domain scores were applicable and without serious bias. Clinical practitioners may regularly collect and record the WHOQOL-BREF domain scores into electronic health records.
AB - Background: Quality of life (QoL) is important for clinicians to evaluate how cancer survivors judge their sense of well-being, and WHOQOL-BREF may be a good tool for clinical use. However, at least three issues remain unresolved: (1) the psychometric properties of the WHOQOL-BREF for cancer patients are insufficient; (2) the scoring method used for WHOQOL-BREF needs to be clarify; (3) whether different types of cancer patients interpret the WHOQOL-BREF similarly. Methods: We recruited 1000 outpatients with head/neck cancer, 1000 with colorectal cancer, 965 with liver cancer, 1438 with lung cancer and 1299 with gynecologic cancers in a medical center. Data analyses included Rasch models, confirmatory factor analysis (CFA), and Pearson correlations. Results: The mean WHOQOL-BREF domain scores were between 13.34 and 14.77 among all participants. CFA supported construct validity; Rasch models revealed that almost all items were embedded in their expected domains and were interpreted similarly across five types of cancer patients; all correlation coefficients between Rasch scores and original domain scores were above 0.9. Conclusion: The linear relationship between Rasch scores and domain scores suggested that the current calculations for domain scores were applicable and without serious bias. Clinical practitioners may regularly collect and record the WHOQOL-BREF domain scores into electronic health records.
UR - http://www.scopus.com/inward/record.url?scp=85045333389&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85045333389&partnerID=8YFLogxK
U2 - 10.1016/j.jfma.2018.03.018
DO - 10.1016/j.jfma.2018.03.018
M3 - Article
C2 - 29661488
AN - SCOPUS:85045333389
VL - 118
SP - 215
EP - 222
JO - Journal of the Formosan Medical Association
JF - Journal of the Formosan Medical Association
SN - 0929-6646
IS - 1P2
ER -