Literature DB >> 1569420

Improving task comprehension in the measurement of health state preferences. A trial of informational cartoon figures and a paired-comparison task.

D C Hadorn1, R D Hays, J Uebersax, T Hauber.   

Abstract

Information concerning people's relative preferences for health care outcomes is usually obtained using questionnaires which ask subjects to imagine health states of various kinds. When using illness- or treatment-specific states, elaborate descriptions of patients' quality of life may adequately convey to the rater a sense of the real situation. Such descriptions are not possible with generic questionnaires, which frame outcomes in general terms, such as pain, limits on activities, etc. This study evaluated two methods for facilitating task comprehension with generic preference-assessment instruments: (1) use of informational figures that provide visual representations of the described health state, and (2) measurement of preferences by means of a paired-comparison task. The use of figures did not change rating variance or the number of counter-intuitive ratings, but did improve one-week test-retest reliability. Paired comparisons had reliability comparable to the direct rating tasks and reduced the number of counter-intuitive ratings, although not to a statistically significantly extent.

Entities:  

Mesh:

Year:  1992        PMID: 1569420     DOI: 10.1016/0895-4356(92)90083-y

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  11 in total

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4.  Exploring health preferences in sociodemographic and health related groups through the paired comparison of the items of the Nottingham health profile.

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5.  The importance of measuring strength-of-preference scores for health care options in preference-sensitive care.

Authors:  R Trafford Crump; Hilary A Llewellyn-Thomas
Journal:  J Clin Epidemiol       Date:  2012-04-09       Impact factor: 6.437

6.  US valuation of health outcomes measured using the PROMIS-29.

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7.  Validation of a new measure of diarrhea.

Authors:  H R Mertz; C K Beck; W Dixon; M A Esquivel; R D Hays; M F Shapiro
Journal:  Dig Dis Sci       Date:  1995-09       Impact factor: 3.199

8.  When there is too much to do: how practicing physicians prioritize among recommended interventions.

Authors:  Timothy P Hofer; Judith K Zemencuk; Rodney A Hayward
Journal:  J Gen Intern Med       Date:  2004-06       Impact factor: 5.128

9.  Do the pictures influence scores on the Dartmouth COOP Charts?

Authors:  C O Larson; R D Hays; E C Nelson
Journal:  Qual Life Res       Date:  1992-08       Impact factor: 4.147

10.  Demographic differences in health preferences in the United States.

Authors:  Benjamin M Craig; Bryce B Reeve; David Cella; Ron D Hays; Alan S Pickard; Dennis A Revicki
Journal:  Med Care       Date:  2014-04       Impact factor: 2.983

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