Literature DB >> 28255744

Framing of mobility items: a source of poor agreement between preference-based health-related quality of life instruments in a population of individuals receiving assisted ventilation.

Liam M Hannan1,2,3,4, David G T Whitehurst5,6,7, Stirling Bryan7,8,9, Jeremy D Road10,11, Christine F McDonald12,13,14,15, David J Berlowitz12,13,14,15, Mark E Howard12,13,14,15.   

Abstract

PURPOSE: To explore the influence of descriptive differences in items evaluating mobility on index scores generated from two generic preference-based health-related quality of life (HRQoL) instruments.
METHODS: The study examined cross-sectional data from a postal survey of individuals receiving assisted ventilation in two state/province-wide home mechanical ventilation services, one in British Columbia, Canada and the other in Victoria, Australia. The Assessment of Quality of Life 8-dimension (AQoL-8D) and the EQ-5D-5L were included in the data collection. Graphical illustrations, descriptive statistics, and measures of agreement [intraclass correlation coefficients (ICCs) and Bland-Altman plots] were examined using index scores derived from both instruments. Analyses were performed on the full sample as well as subgroups defined according to respondents' self-reported ability to walk.
RESULTS: Of 868 individuals receiving assisted ventilation, 481 (55.4%) completed the questionnaire. Mean index scores were 0.581 (AQoL-8D) and 0.566 (EQ-5D-5L) with 'moderate' agreement demonstrated between the two instruments (ICC = 0.642). One hundred fifty-nine (33.1%) reported level 5 ('I am unable to walk about') on the EQ-5D-5L Mobility item. The walking status of respondents had a marked influence on the comparability of index scores, with a larger mean difference (0.206) and 'slight' agreement (ICC = 0.386) observed when the non-ambulant subgroup was evaluated separately.
CONCLUSIONS: This study provides further evidence that between-measure discrepancies between preference-based HRQoL instruments are related in part to the framing of mobility-related items. Longitudinal studies are necessary to determine the responsiveness of preference-based HRQoL instruments in cohorts that include non-ambulant individuals.

Entities:  

Keywords:  AQoL-8D; EQ-5D-5L; Mobility; Non-invasive ventilation; Quality of life; Respiratory insufficiency

Mesh:

Year:  2017        PMID: 28255744     DOI: 10.1007/s11136-017-1510-z

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


  38 in total

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Authors:  E M Andresen; G W Gravitt; M E Aydelotte; C A Podgorski
Journal:  Age Ageing       Date:  1999-10       Impact factor: 10.668

Review 2.  Measuring quality of life in clinical trials: a taxonomy and review.

Authors:  G H Guyatt; S J Veldhuyzen Van Zanten; D H Feeny; D L Patrick
Journal:  CMAJ       Date:  1989-06-15       Impact factor: 8.262

3.  Measuring health-related utility: why the disparity between EQ-5D and SF-6D?

Authors:  Stirling Bryan; Louise Longworth
Journal:  Eur J Health Econ       Date:  2005-09

4.  Comparison of contemporaneous EQ-5D and SF-6D responses using scoring algorithms derived from similar valuation exercises.

Authors:  David G T Whitehurst; Richard Norman; John E Brazier; Rosalie Viney
Journal:  Value Health       Date:  2014-05-14       Impact factor: 5.725

5.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

6.  Measurement of quality of life using EQ-5D in patients on prolonged mechanical ventilation: comparison of patients, family caregivers, and nurses.

Authors:  Mei-Chuan Hung; Yuan-Horng Yan; Po-Sheng Fan; Ming-Shian Lin; Cheng-Ren Chen; Lu-Cheng Kuo; Chong-Jen Yu; Grace Yao; Ching-Lin Hsieh; Jung-Der Wang
Journal:  Qual Life Res       Date:  2010-03-12       Impact factor: 4.147

Review 7.  Medical technologies, nonhuman aids, human assistance, and environmental factors in the assessment of health states.

Authors:  Yukiko Asada
Journal:  Qual Life Res       Date:  2005-04       Impact factor: 4.147

8.  A pilot discrete choice experiment to explore preferences for EQ-5D-5L health states.

Authors:  Richard Norman; Paula Cronin; Rosalie Viney
Journal:  Appl Health Econ Health Policy       Date:  2013-06       Impact factor: 2.561

9.  Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L).

Authors:  M Herdman; C Gudex; A Lloyd; Mf Janssen; P Kind; D Parkin; G Bonsel; X Badia
Journal:  Qual Life Res       Date:  2011-04-09       Impact factor: 4.147

Review 10.  Short Form health surveys and related variants in spinal cord injury research: a systematic review.

Authors:  David G T Whitehurst; Lidia Engel; Stirling Bryan
Journal:  J Spinal Cord Med       Date:  2014-01-06       Impact factor: 1.985

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