Report of nationally representative values for the noninstitutionalized US adult population for 7 health-related quality-of-life scores

被引:340
作者
Hanmer, Janel
Lawrence, William F.
Anderson, John P.
Kaplan, Robert M.
Fryback, Dennis G.
机构
[1] Univ Wisconsin, Dept Populat Hlth Sci, Madison, WI 53726 USA
[2] Agcy Healthcare Res & Qual, Rockville, MD USA
[3] Univ Calif San Diego, La Jolla, CA 92093 USA
[4] Univ Calif Los Angeles, Los Angeles, CA 90024 USA
关键词
health-related quality of life; EQ-5D; SF-12; SF-6D; QWB; national norms;
D O I
10.1177/0272989X06290497
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background. Despite widespread use of generic health-related quality-of-life (HRQoL) scores, few have publicly published nationally representative US values. Purpose. To create current nationally representative values for 7 of the most common HRQoL scores, stratified by age and sex. Methods. The authors used data from the 2001 Medical Expenditures Panel Survey (MEPS) and the 2001 National Health Interview Survey (NHIS), notionally representative surveys of the US noninstitutionalized civilian population. The MEPS was used to calculate 6 HRQoL scores: categorical self-rated health, EuroQoL-5D with US scoring, EuroQoL-5D with UK scoring, EuroQol Visual Analog Scale, mental and physical component summaries from the SF-12, and the SF-6D. The authors estimated Quality of Well-being scale scores from the NHIS. Results. They included 22,523 subjects from MEPS 2001 and 32,472 subjects from NHIS 2001. Most age and sex categories had instrument completion rates above 85%. Females reported lower scores than males across all ages and instruments. In general, those in older age groups reported lower scores than younger age groups, with the exception of the mental component summary from the SF-12. Conclusion, This is one of the first sets of publicly available, nationally representative US values for any standardized HRQoL measure. These values are important for use in both generalized comparisons of health status and in cost-effectiveness analyses.
引用
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页码:391 / 400
页数:10
相关论文
共 26 条
[1]
Alonso J, 1998, MED CLIN-BARCELONA, V111, P410
[2]
Arthritis impact on US life quality: Morbidity and mortality effects from National Health Interview Survey data 1986-1988 and 1994 using QBXW1 estimates of well-being [J].
Anderson, JP ;
Kaplan, RM ;
Ake, CF .
SOCIAL INDICATORS RESEARCH, 2004, 69 (01) :67-91
[3]
Activity limitations reported in the National Health Interview Survey: An anomaly and its effect on estimates of national well-being [J].
Anderson, JP .
AMERICAN JOURNAL OF PUBLIC HEALTH, 2001, 91 (07) :1135-1136
[4]
Australian Bureau of Statistics, 1997, 43990 AUSTR BUR STAT
[5]
The Short Form 36 (SF-36) Health Survey: normative data for the Irish population [J].
Blake, C ;
Codd, MB ;
O'Meara, YM .
IRISH JOURNAL OF MEDICAL SCIENCE, 2000, 169 (03) :195-200
[6]
Short Form 36 (SF-36) Health Survey questionnaire: which normative data should be used? Comparisons between the norms provided by the omnibus survey in Britain, the Health Survey for England and the Oxford Healthy Life Survey [J].
Bowling, A ;
Bond, M ;
Jenkinson, C ;
Lamping, DL .
JOURNAL OF PUBLIC HEALTH MEDICINE, 1999, 21 (03) :255-270
[7]
The estimation of a preference-based measure of health from the SF-12 [J].
Brazier, JE ;
Roberts, J .
MEDICAL CARE, 2004, 42 (09) :851-859
[8]
Modeling valuations for EuroQol health states [J].
Dolan, P .
MEDICAL CARE, 1997, 35 (11) :1095-1108
[9]
ERICKSON P, 1995, STAT NOTES US DEP HL, V7
[10]
THE BEAVER DAM HEALTH OUTCOMES STUDY - INITIAL CATALOG OF HEALTH-STATE QUALITY FACTORS [J].
FRYBACK, DG ;
DASBACH, EJ ;
KLEIN, R ;
KLEIN, BEK ;
DORN, N ;
PETERSON, K ;
MARTIN, PA .
MEDICAL DECISION MAKING, 1993, 13 (02) :89-102