Literature DB >> 7674253

A taxonomy of health status instruments.

G H Guyatt1.   

Abstract

Clinicians and policymakers are recognizing the importance of measuring health related quality of life (HRQL) to inform patient management and policy decisions. Self or interviewer administered questionnaires can be used to measure cross sectional differences in quality of life between patients at a point in time (discriminative instruments) or longitudinal changes in HRQL within patients over time (evaluative instruments). Both discriminative and evaluative instruments must be valid (really measuring what they are supposed to measure) and have a high ratio of signal to noise (reliability and responsiveness, respectively). Reliable discriminative instruments are able to reproducibly differentiate between persons. Responsive evaluative measures are able to detect important changes in HRQL over time, even if those changes are small. HRQL should be interpretable--that is, clinicians and policymakers must be able to identify differences in scores that correspond to trivial, small, moderate, and large differences. Two basic approaches to quality of life measurement are available: generic instruments that attempt to provide a summary of health related quality of life; and specific instruments that focus on problems associated with individual disease states, patient groups, or areas of function. Generic instruments include health profiles and instruments that generate health utilities. The approaches are not mutually exclusive. Each approach has its strengths and weaknesses and may be suitable under different circumstances. Investigations in HRQL have led to instruments suitable for detecting minimally important effects in clinical trials, measuring the health of populations, and for providing information for policy decisions.

Entities:  

Mesh:

Year:  1995        PMID: 7674253

Source DB:  PubMed          Journal:  J Rheumatol        ISSN: 0315-162X            Impact factor:   4.666


  13 in total

1.  The reproducibility of ophthalmic utility values.

Authors:  G C Brown; M M Brown; S Sharma; G Beauchamp; H Hollands
Journal:  Trans Am Ophthalmol Soc       Date:  2001

2.  Validity of the time trade-off and standard gamble methods of utility assessment in retinal patients.

Authors:  S Sharma; G C Brown; M M Brown; H Hollands; R Robins; G K Shah
Journal:  Br J Ophthalmol       Date:  2002-05       Impact factor: 4.638

3.  A utility analysis correlation with visual acuity: methodologies and vision in the better and poorer eyes.

Authors:  M M Brown; G C Brown; S Sharma; A F Smith; J Landy
Journal:  Int Ophthalmol       Date:  2001       Impact factor: 2.031

4.  The application of the Drug User Quality of Life Scale (DUQOL) in Australia.

Authors:  Carlos Zubaran; Jonathan Emerson; Rishi Sud; Elham Zolfaghari; Katia Foresti
Journal:  Health Qual Life Outcomes       Date:  2012-03-18       Impact factor: 3.186

5.  The impact of persistent visually disabling vitreous floaters on health status utility values.

Authors:  Haidong Zou; Haiyun Liu; Xun Xu; Xi Zhang
Journal:  Qual Life Res       Date:  2012-10-11       Impact factor: 4.147

6.  Self-efficacy and quality of life among people with bipolar disorder.

Authors:  Kristen M Abraham; Christopher J Miller; Denis G Birgenheir; Zongshan Lai; Amy M Kilbourne
Journal:  J Nerv Ment Dis       Date:  2014-08       Impact factor: 2.254

7.  Mapping CushingQoL scores onto SF-6D utility values in patients with Cushing's syndrome.

Authors:  Montse Roset; Xavier Badia; Anna Forsythe; Susan M Webb
Journal:  Patient       Date:  2013       Impact factor: 3.883

8.  Use of senior center and the health-related quality of life in Korean older adults.

Authors:  Hyun Shik Kim; Kazuhiro Harada; Masashi Miyashita; Eun A Lee; Jin Kee Park; Yoshio Nakamura
Journal:  J Prev Med Public Health       Date:  2011-07

9.  Understanding the role of discriminative instruments in HRQoL research: can Ferguson's Delta help?

Authors:  Kathleen W Wyrwich
Journal:  Health Qual Life Outcomes       Date:  2008-10-16       Impact factor: 3.186

10.  Understanding Ferguson's delta: time to say good-bye?

Authors:  Berend Terluin; Dirk L Knol; Caroline B Terwee; Henrica C W de Vet
Journal:  Health Qual Life Outcomes       Date:  2009-04-30       Impact factor: 3.186

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