Literature DB >> 7780382

Agreement between self reports and proxy reports of quality of life in epilepsy patients.

R D Hays1, B G Vickrey, B P Hermann, K Perrine, J Cramer, K Meador, K Spritzer, O Devinsky.   

Abstract

Agreement between self reports and proxy reports of quality of life was examined in a sample of 292 patients with epilepsy and their designated proxies. Patients and proxies completed an 89-item Quality of Life Inventory (QOLIE-89), with the items rephrased for the proxy. Results reveal moderate correlations (product-moment r ranging from 0.29 to 0.56 for 17 multi-item scales) between self reports and proxy reports. Agreement was good for measures of function that are directly observable and relatively poor for more subjective measures. Mean scale scores were significantly different between patients and proxies for only five of 17 multi-item scales. Proxy respondents systematically reported better functioning than did patients in three scales assessing cognitive functioning (all p < 0.001). By contrast, patients reported more positive health perceptions and less seizure distress than proxies. Patient educational attainment correlated inversely with degree of disagreement between patient and proxy reports for six of the 17 QOL scales and for the overall score. In addition, proxy educational attainment correlated positively with agreement for four scales. This study indicates that for group level comparisons, proxy respondents can be substituted for adults with epilepsy having low to moderate seizure frequency. However, for individual level assessments proxies should be used with caution.

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Year:  1995        PMID: 7780382     DOI: 10.1007/bf01833609

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  17 in total

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Authors:  B G Vickrey; R D Hays; J Graber; R Rausch; J Engel; R H Brook
Journal:  Med Care       Date:  1992-04       Impact factor: 2.983

5.  The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups.

Authors:  C A McHorney; J E Ware; J F Lu; C D Sherbourne
Journal:  Med Care       Date:  1994-01       Impact factor: 2.983

Review 6.  Measuring health-related quality of life.

Authors:  G H Guyatt; D H Feeny; D L Patrick
Journal:  Ann Intern Med       Date:  1993-04-15       Impact factor: 25.391

7.  A Perceived Health Index for use in persons with advanced HIV disease: derivation, reliability, and validity.

Authors:  S A Bozzette; R D Hays; S H Berry; D E Kanouse
Journal:  Med Care       Date:  1994-07       Impact factor: 2.983

8.  Using proxies to evaluate quality of life. Can they provide valid information about patients' health status and satisfaction with medical care?

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Journal:  Med Care       Date:  1989-03       Impact factor: 2.983

9.  Functional status and well-being of patients with chronic conditions. Results from the Medical Outcomes Study.

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Journal:  JAMA       Date:  1989-08-18       Impact factor: 56.272

10.  The validity of proxy-generated scores as measures of patient health status.

Authors:  M L Rothman; S C Hedrick; K A Bulcroft; D H Hickam; L Z Rubenstein
Journal:  Med Care       Date:  1991-02       Impact factor: 2.983

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  34 in total

Review 1.  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

2.  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

3.  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

4.  Screening for major depressive disorder in adults with glioma using the PHQ-9: a comparison of patient versus proxy reports.

Authors:  Alasdair Grant Rooney; Shanne McNamara; Mairi Mackinnon; Mary Fraser; Roy Rampling; Alan Carson; Robin Grant
Journal:  J Neurooncol       Date:  2013-02-24       Impact factor: 4.130

5.  Which source should we use to measure quality of life in children with asthma: the children themselves or their parents?

Authors:  E M le Coq; A J Boeke; P D Bezemer; V T Colland; J T van Eijk
Journal:  Qual Life Res       Date:  2000       Impact factor: 4.147

Review 6.  Assessing quality of life in patients with epilepsy.

Authors:  A Jacoby
Journal:  Pharmacoeconomics       Date:  1996-05       Impact factor: 4.981

7.  Factors influencing self- and parent-reporting health-related quality of life in children with brain tumors.

Authors:  Iori Sato; Akiko Higuchi; Takaaki Yanagisawa; Akitake Mukasa; Kohmei Ida; Yutaka Sawamura; Kazuhiko Sugiyama; Nobuhito Saito; Toshihiro Kumabe; Mizuhiko Terasaki; Ryo Nishikawa; Yasushi Ishida; Kiyoko Kamibeppu
Journal:  Qual Life Res       Date:  2012-03-03       Impact factor: 4.147

8.  Advances in the measurement of health-related quality of life in epilepsy.

Authors:  B G Vickrey
Journal:  Qual Life Res       Date:  1995-04       Impact factor: 4.147

9.  Evaluating the consequences of rheumatoid arthritis.

Authors:  Björn Sossong; Stefan Felder; Malte Wolff; Klaus Krüger
Journal:  Eur J Health Econ       Date:  2016-07-28

10.  Measuring adolescents' HRQoL via self reports and parent proxy reports: an evaluation of the psychometric properties of both versions of the KINDL-R instrument.

Authors:  Michael Erhart; Ute Ellert; Bärbel-Maria Kurth; Ulrike Ravens-Sieberer
Journal:  Health Qual Life Outcomes       Date:  2009-08-26       Impact factor: 3.186

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