Author/Authors :
Hosseini, Bayan Department of Epidemiology and Biostatistics - School of Public Health - Tehran University of Medical Sciences, Tehran, Iran , Nedjat, Saharnaz Epidemiology and Biostatistics Department - School of Public Health - Knowledge Utilization Research Center - Tehran University of Medical Sciences, Tehran, Iran , Zendehdel, Kazem Cancer Research Center - Cancer Institute of Iran - Tehran University of Medical Sciences, Tehran, Iran , Majdzadeh, Reza Epidemiology and Biostatistics Department - School of Public Health - Knowledge Utilization Research Center - Tehran University of Medical Sciences, Tehran, Iran , Nourmohammadi, Azam Cancer Research Center - Cancer Institute of Iran - Tehran University of Medical Sciences, Tehran, Iran , Montazeri, Ali Mental Health Research Department - Institute for Health Sciences Research, ACECR, Tehran, Iran
Abstract :
Background: During the course of disease, particularly of chronic diseases, changes in internal standards cause certain changes in
the estimation of quality of life (QOL). These changes indicate the phenomenon of ‘response shift’. The present study aimed at assessing
response shift in different scales of QOL in Iranian cancer patients.
Methods: To assess response shift through the ‘then test’ approach, we asked 211 cancer patients to complete the EORTC QLQ-C30
questionnaire at pretest (at the beginning of the study), posttest (3 months later), and then test (administered immediately after the posttest).
Paired t test and Cohen’s effect size were used for comparison.
Results: Response shift was significant in all 4 scales under study, i.e. fatigue, pain, emotional functioning, and general QOL
(p<0.001). Fatigue, pain, and global QOL have deteriorated significantly with then test approach and emotional function was significantly
improved.
Conclusion: We observed a response shift in Iranian cancer patients in our study. Thus, in light of the multifactorial nature of QOL
and the effect of the response shift bias on different aspects of QOL changes, it is of utmost importance to keep this bias in mind when
interpreting the results and managing cancer patients’ treatment regimens.
Keywords :
Then test , Adjusted change , Conventional change , Response shift , Quality of life