Discrepancies between proxy estimates and patient reported, health related, quality of life: minding the gap between patient and clinician perceptions in heart failure.

Publisher:
SPRINGER
Publication Type:
Journal Article
Citation:
Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2021, 30, (4), pp. 1049-1059
Issue Date:
2021-04
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Purpose

Health related quality of life (HRQoL) is rarely routinely measured in the clinical setting. In the absence of patient reported data, clinicians rely on proxy and informal estimates to support clinical decisions. This study compares clinician estimates (proxy) with patient reported HRQoL in patients with advanced heart failure and examines factors influencing discrepancies.

Methods

Seventy-five patients with heart failure, (22 females, 53 males) completed the EQ-5D-5L questionnaire. Thirty-nine clinicians (11 medical, 23 nursing, 5 allied health) completed the proxy version (V1) producing 194 dyads. Correlation was assessed using Spearman's rank tests, systematic bias was examined with Bland-Altman analyses. Inter-rater agreement at the domain level, was investigated using linear weighted Kappa statistics while factors influencing the IRG were explored using independent student t-tests, analysis of variance and regression.

Results

There was a moderate positive correlation between clinician HRQoL estimates and patient reported utility (r = 0.38; p < .0005). Mean clinician estimates were higher than patient reported utility (0.60 vs 0.54; p = 0.008), with significant underestimation of reported problems apparent in three of the five EQ-5D-5L domains. Patient sex (female), depressed mood and frailty were all associated with an increased inter-rater gap.

Conclusion

Clinicians in this sample overestimated HRQoL. Factors affecting the inter-rater gap, including sex and depression, support formal HRQoL screening to enhance clinical conversations and decision making. The discrepancy also supports regulatory restriction on the use of expert opinion in the development of QALYs in health economic analysis.
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