caa a22 4500 477084753 CHVBK 20180405111500.0 cr unu---uuuuu 170330e19960201xx s 000 0 eng 10.1007/BF00435983 doi (NATIONALLICENCE)springer-10.1007/BF00435983 Automated utility assessment of global health [Elektronische Daten] [R. Nease Jr, R. Tsai, L. Hynes, B. Littenberg] The objective of this study was to characterize the performance of an automated utility assessment instrument for measuring preferences for overall health. The study population consisted of 83 subjects recruited from the cafeteria of a large tertiary care hospital. We assessed utilities for current health relative to perfect health and death using the rating scale, time tradeoff and standard gamble metrics. To validate the instrument, we compared utilities with the General Health subscale of the SF-36 Health Survey instrument, satisfaction with current health, and degree of bother due to current health. We evaluated interview failure rate based on irrational orderings of two practice assessments (monocular and binocular blindness) or inability to complete the interview. As expected, utility for overall health was statistically significantly associated with the General Health subscale score and measures of satisfaction with current health and degree of bother. There is substantial variation in utilities among patients with similarly severe overall health, and substantial overlap in utilities among subjects with different levels of overall health. The failure rate in the study was acceptable (9.6%). Automated assessment of utility for overall health provides a feasible means for estimating individual preferences. Rapid Science Publishers, 1996 Decision support techniques nationallicence patient preferences nationallicence quality of life nationallicence Nease Jr R. Laboratory for Medical Decision Sciences, Division of General Medical Sciences, Department of Medicine, Washington University School of Medicine, 63110, St. Louis, MO, USA aut Tsai R. Laboratory for Medical Decision Sciences, Division of General Medical Sciences, Department of Medicine, Washington University School of Medicine, 63110, St. Louis, MO, USA aut Hynes L. Laboratory for Medical Decision Sciences, Division of General Medical Sciences, Department of Medicine, Washington University School of Medicine, 63110, St. Louis, MO, USA aut Littenberg B. Laboratory for Medical Decision Sciences, Division of General Medical Sciences, Department of Medicine, Washington University School of Medicine, 63110, St. Louis, MO, USA aut Quality of Life Research Kluwer Academic Publishers 5/1(1996-02-01), 175-182 0962-9343 5:1<175 1996 5 11136 https://doi.org/10.1007/BF00435983 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00435983 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Nease Jr R. Laboratory for Medical Decision Sciences, Division of General Medical Sciences, Department of Medicine, Washington University School of Medicine, 63110, St. Louis, MO, USA aut NATIONALLICENCE 700 1- Tsai R. Laboratory for Medical Decision Sciences, Division of General Medical Sciences, Department of Medicine, Washington University School of Medicine, 63110, St. Louis, MO, USA aut NATIONALLICENCE 700 1- Hynes L. Laboratory for Medical Decision Sciences, Division of General Medical Sciences, Department of Medicine, Washington University School of Medicine, 63110, St. Louis, MO, USA aut NATIONALLICENCE 700 1- Littenberg B. Laboratory for Medical Decision Sciences, Division of General Medical Sciences, Department of Medicine, Washington University School of Medicine, 63110, St. Louis, MO, USA aut NATIONALLICENCE 773 0- Quality of Life Research Kluwer Academic Publishers 5/1(1996-02-01), 175-182 0962-9343 5:1<175 1996 5 11136 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer