Literature DB >> 21566971

A multiattribute approach to health-status measurement and clinical management illustrated by an application to brain-tumors in childhood.

R Barr1, M Pai, S Weitzman, D Feeny, W Furlong, P Rosenbaum, G Torrance.   

Abstract

A comprehensive multi-attribute system was devised to assess global morbidity burden. The system was used to obtain qualitative and quantitative measures of health-status for a case series of survivors of brain tumors in childhood. Health-related quality-of-life scores for each global health-state were calculated from a utility function derived from measures of preferences collected during surveys of a random sample of parents of school age children in the general public (n=194). Global multi-attribute health status (MAHS) utility scores revealed a wide range of severity in morbidity burden. We suggest that the assessment of health-related quality-of-life should become an integral part of clinical management.

Entities:  

Year:  1994        PMID: 21566971     DOI: 10.3892/ijo.4.3.639

Source DB:  PubMed          Journal:  Int J Oncol        ISSN: 1019-6439            Impact factor:   5.650


  16 in total

Review 1.  A comparative review of generic quality-of-life instruments.

Authors:  S J Coons; S Rao; D L Keininger; R D Hays
Journal:  Pharmacoeconomics       Date:  2000-01       Impact factor: 4.981

Review 2.  Multi-attribute health status classification systems. Health Utilities Index.

Authors:  D Feeny; W Furlong; M Boyle; G W Torrance
Journal:  Pharmacoeconomics       Date:  1995-06       Impact factor: 4.981

Review 3.  Multi-attribute preference functions. Health Utilities Index.

Authors:  G W Torrance; W Furlong; D Feeny; M Boyle
Journal:  Pharmacoeconomics       Date:  1995-06       Impact factor: 4.981

4.  Assessing health-related quality of life in chronically ill children with the German KINDL: first psychometric and content analytical results.

Authors:  U Ravens-Sieberer; M Bullinger
Journal:  Qual Life Res       Date:  1998-07       Impact factor: 4.147

5.  Proxy assessment of quality of life in pediatric clinical trials: application of the Health Utilities Index 3.

Authors:  Cheryl L Cox; Shelly Lensing; Shesh N Rai; Pam Hinds; Elizabeth Burghen; Ching-Hon Pui
Journal:  Qual Life Res       Date:  2005-05       Impact factor: 4.147

6.  A review of preference-based measures for the assessment of quality of life in children and adolescents with cerebral palsy.

Authors:  Christine Mpundu-Kaambwa; Gang Chen; Elisabeth Huynh; Remo Russo; Julie Ratcliffe
Journal:  Qual Life Res       Date:  2018-03-22       Impact factor: 4.147

7.  Health status prediction in critically ill children: a pilot study introducing Standardized Health Ratios.

Authors:  N F de Keizer; G J Bonsel; R J Gemke
Journal:  Qual Life Res       Date:  1997-03       Impact factor: 4.147

Review 8.  Considering quality of life for children with cancer: a systematic review of patient-reported outcome measures and the development of a conceptual model.

Authors:  Samantha J Anthony; Enid Selkirk; Lillian Sung; Robert J Klaassen; David Dix; Katrin Scheinemann; Anne F Klassen
Journal:  Qual Life Res       Date:  2013-08-02       Impact factor: 4.147

9.  Influence of proxy respondents and mode of administration on health status assessment following central nervous system tumours in childhood.

Authors:  A W Glaser; K Davies; D Walker; D Brazier
Journal:  Qual Life Res       Date:  1997-01       Impact factor: 4.147

10.  Psychometric properties of the Health Utilities Index Mark 2 system in paediatric oncology patients.

Authors:  J G Trudel; M Rivard; P L Dobkin; J M Leclerc; P Robaey
Journal:  Qual Life Res       Date:  1998-07       Impact factor: 4.147

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