Literature DB >> 9140337

The use of significant others as proxy raters of the quality of life of patients with brain cancer.

K C Sneeuw1, N K Aaronson, D Osoba, M J Muller, M A Hsu, W K Yung, M Brada, E S Newlands.   

Abstract

OBJECTIVES: The use of self-report questionnaires for the assessment of health-related quality of life (HRQOL) is increasingly common in clinical research. This method of data collection may be less suitable for patient groups who suffer from cognitive impairment, however, such as patients with brain cancer. In such cases, one can consider employing the patients' significant others as proxy raters of the patients' health-related quality of life. The authors examined the response agreement between patients with brain cancer and their significant others on a health-related quality of life instrument commonly used in cancer clinical trials, the EORTC QLQ-C30, and on a brain cancer-specific questionnaire module, the QLQ-BCM.
METHODS: The study sample consisted of 103 pairs of patients, with either recently diagnosed or recurrent brain cancer, and their significant others (75% spouses, 22% relatives, and 3% friends). Patients and proxies independently completed the EORTC QLQ-C30 and the QLQ-BCM at three different times.
RESULTS: Approximately 60% of the patient and proxy scores were in exact agreement, with more than 90% of scores being within one response category of each other. For most HRQOL dimensions assessed, moderate to good agreement was found. Statistically significant differences in mean scores were noted for several dimensions, with proxies tending to rate the patients as having a lower quality of life than the patients themselves. With the exception of fatigue ratings, this response bias was of a limited magnitude. Less agreement and a more pronounced response bias was observed for the more impaired patients, and particularly for patients exhibiting mental confusion. This finding was confirmed by longitudinal analyses, which indicated lower levels of patient-proxy agreement at follow-up for those patients whose physical or neurologic condition had deteriorated over time.
CONCLUSIONS: In general, patients and their significant others provide similar ratings of the patients' quality of life. Lower levels of agreement and more biased ratings can be expected among those patients for whom the need for proxies is most salient. It is argued, however, that discrepancies between patient-proxy ratings should not be interpreted, a priori, as evidence of the inaccuracy or biased nature of proxy-generated data. Future studies are needed to examine the relative validity and reliability of patient-versus proxy-generated health-related quality of life scores.

Entities:  

Keywords:  Biomedical and Behavioral Research; Empirical Approach; Professional Patient Relationship

Mesh:

Year:  1997        PMID: 9140337     DOI: 10.1097/00005650-199705000-00006

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  53 in total

1.  Proxy reliability: health-related quality of life (HRQoL) measures for people with disability.

Authors:  E M Andresen; V J Vahle; D Lollar
Journal:  Qual Life Res       Date:  2001       Impact factor: 4.147

2.  The SIP68: an abbreviated sickness impact profile for disability outcomes research.

Authors:  Upasana Nanda; Patricia M McLendon; Elena M Andresen; Eric Armbrecht
Journal:  Qual Life Res       Date:  2003-08       Impact factor: 4.147

3.  Effect of neurological dysfunction on health-related quality of life in patients with high-grade glioma.

Authors:  D Osoba; N K Aaronson; M Muller; K Sneeuw; M A Hsu; W K Yung; M Brada; E Newlands
Journal:  J Neurooncol       Date:  1997-09       Impact factor: 4.130

Review 4.  Proxy evaluation of health-related quality of life: a conceptual framework for understanding multiple proxy perspectives.

Authors:  A Simon Pickard; Sara J Knight
Journal:  Med Care       Date:  2005-05       Impact factor: 2.983

5.  Is a family equal to the sum of its parts? Estimating family-level well-being for cost-effectiveness analysis.

Authors:  Amy E Bonomi; Denise M Boudreau; Paul A Fishman; Richard T Meenan; Dennis A Revicki
Journal:  Qual Life Res       Date:  2005-05       Impact factor: 4.147

6.  Health status in patients with Alzheimer's disease: an investigation of inter-rater agreement.

Authors:  J L Novella; F Boyer; C Jochum; N Jovenin; I Morrone; D Jolly; S Bakchine; F Blanchard
Journal:  Qual Life Res       Date:  2006-06       Impact factor: 4.147

7.  Measuring health-related quality of life in high-grade glioma patients at the end of life using a proxy-reported retrospective questionnaire.

Authors:  Eefje M Sizoo; Linda Dirven; Jaap C Reijneveld; Tjeerd J Postma; Jan J Heimans; Luc Deliens; H Roeline W Pasman; Martin J B Taphoorn
Journal:  J Neurooncol       Date:  2013-10-29       Impact factor: 4.130

8.  How do proxy responses and proxy-assisted responses differ from what Medicare beneficiaries might have reported about their health care?

Authors:  Marc N Elliott; Megan K Beckett; Kelly Chong; Katrin Hambarsoomians; Ron D Hays
Journal:  Health Serv Res       Date:  2008-06       Impact factor: 3.402

9.  Predicting distress among people who care for patients living longer with high-grade malignant glioma.

Authors:  B Russell; A Collins; A Dowling; M Dally; M Gold; M Murphy; J Burchell; J Philip
Journal:  Support Care Cancer       Date:  2015-04-25       Impact factor: 3.603

10.  Proxy assessment of quality of life in patients with prostate cancer: how accurate are partners and urologists?

Authors:  R Pearcy; D Waldron; C O'Boyle; R MacDonagh
Journal:  J R Soc Med       Date:  2008-03       Impact factor: 5.344

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