TY - JOUR
T1 - Measuring the wellbeing of cancer patients with generic and disease-specific instruments
AU - Chen, Gang
AU - Bulamu, Norma B.
AU - McGrane, Ellen
AU - Richardson, Jeff
N1 - Funding Information:
Associate Professor Gang Chen is the recipient of an Australian Research Council Discovery Early Career Researcher Award (Project Number DE180100647) funded by the Australian Government.
Publisher Copyright:
© 2023 by the authors.
PY - 2023/2
Y1 - 2023/2
N2 - Different wellbeing measures have been used among cancer patients. This study aimed to first investigate the sensitivity of health state utility (HSU), capability, and subjective wellbeing (SWB) instruments in cancer. A cancer-specific instrument (QLQ-C30) was included and transferred onto the cancer-specific HSU scores. Furthermore, it examined the relative importance of key life domains explaining overall life satisfaction. Data were drawn from the Multi-instrument Comparison survey. Linear regression was used to explore the extent to which the QLQ-C30 sub-scales explain HSU and SWB. Kernel-based Regularized Least Squares (KRLS), a machine learning method, was used to explore the life domain importance of cancer patients. As expected, the QLQ-C30 sub-scales explained the vast majority of the variance in its derived cancer-specific HSU (R2 = 0.96), followed by generic HSU instruments (R2 of 0.65–0.73) and SWB and capability instruments (R2 of 0.33–0.48). The cancer-specific measure was more closely correlated with generic HSU than SWB measures, owing to the construction of these instruments. In addition to health, life achievements, relationships, the standard of living, and future security all play an important role in explaining the overall life satisfaction of cancer patients.
AB - Different wellbeing measures have been used among cancer patients. This study aimed to first investigate the sensitivity of health state utility (HSU), capability, and subjective wellbeing (SWB) instruments in cancer. A cancer-specific instrument (QLQ-C30) was included and transferred onto the cancer-specific HSU scores. Furthermore, it examined the relative importance of key life domains explaining overall life satisfaction. Data were drawn from the Multi-instrument Comparison survey. Linear regression was used to explore the extent to which the QLQ-C30 sub-scales explain HSU and SWB. Kernel-based Regularized Least Squares (KRLS), a machine learning method, was used to explore the life domain importance of cancer patients. As expected, the QLQ-C30 sub-scales explained the vast majority of the variance in its derived cancer-specific HSU (R2 = 0.96), followed by generic HSU instruments (R2 of 0.65–0.73) and SWB and capability instruments (R2 of 0.33–0.48). The cancer-specific measure was more closely correlated with generic HSU than SWB measures, owing to the construction of these instruments. In addition to health, life achievements, relationships, the standard of living, and future security all play an important role in explaining the overall life satisfaction of cancer patients.
KW - cancer
KW - capability
KW - health state utility
KW - life satisfaction
KW - subjective wellbeing
UR - http://www.scopus.com/inward/record.url?scp=85149137448&partnerID=8YFLogxK
U2 - 10.3390/cancers15041351
DO - 10.3390/cancers15041351
M3 - Article
C2 - 36831692
AN - SCOPUS:85149137448
SN - 2072-6694
VL - 15
JO - Cancers
JF - Cancers
IS - 4
M1 - 1351
ER -
