Literature DB >> 16025586

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

Yukiko Asada1.   

Abstract

Researchers have developed various health state measures to capture the value of living well. They have reached a consensus that health state measures focus on functionality and general symptoms. One can assess functionality and general symptoms with or without medical technologies (for example, medication, laser surgery, or a pacemaker), nonhuman aids (for example, glasses or a wheelchair), human assistance (for example, the help of another person), and accommodating environmental factors (for example, a barrier-free physical environment). Researchers have paid little attention to these distinctions. In this paper, I discuss why such distinctions are important and explore what implications they have for the construction and application of health state measures. I use the Health Utilities Index Mark 3 (HUI) and the health state measure in the World Health Survey (WHS) as examples of pioneer measures that explicitly acknowledge different levels of functionality and general symptoms. I conclude that the inclusion of medical technologies and nonhuman aids in the assessment of health is reasonable, but not human assistance or accommodating environmental factors. While this conclusion is in line with the HUI and WHS, I discuss a rationale for this boundary and make further suggestions regarding scoring of health states.

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Year:  2005        PMID: 16025586     DOI: 10.1007/s11136-004-0910-z

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


  10 in total

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Authors:  Pascale Allotey; Daniel Reidpath; Aka Kouamé; Robert Cummins
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10.  Comparability of self rated health: cross sectional multi-country survey using anchoring vignettes.

Authors:  Joshua A Salomon; Ajay Tandon; Christopher J L Murray
Journal:  BMJ       Date:  2004-01-23
  10 in total
  3 in total

1.  Measuring preferences for cost-utility analysis: how choice of method may influence decision-making.

Authors:  Christine M McDonough; Anna N A Tosteson
Journal:  Pharmacoeconomics       Date:  2007       Impact factor: 4.981

2.  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.

Authors:  Liam M Hannan; David G T Whitehurst; Stirling Bryan; Jeremy D Road; Christine F McDonald; David J Berlowitz; Mark E Howard
Journal:  Qual Life Res       Date:  2017-03-02       Impact factor: 4.147

3.  "When I saw walking I just kind of took it as wheeling": interpretations of mobility-related items in generic, preference-based health state instruments in the context of spinal cord injury.

Authors:  Yvonne Anne Michel; Lidia Engel; Kim Rand-Hendriksen; Liv Ariane Augestad; David Gt Whitehurst
Journal:  Health Qual Life Outcomes       Date:  2016-11-28       Impact factor: 3.186

  3 in total

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