The SF36 Version 2: critical analyses of population weights, scoring algorithms and population norms

被引:241
作者
Hawthorne, Graeme
Osborne, Richard H.
Taylor, Anne
Sansoni, Jan
机构
[1] Univ Melbourne, Royal Melbourne Hosp, Dept Psychiat, Parkville, Vic 3052, Australia
[2] Univ Melbourne, Royal Melbourne Hosp, Dept Med, AFV Ctr Rheumat Dis, Parkville, Vic 3052, Australia
[3] Dept Hlth, Populat Res & Outcome Studies Unit, Adelaide, SA, Australia
[4] Univ Wollongong, Australian Hlth Outcomes Collaborat, Ctr Hlth Serv Dev, Wollongong, NSW 2500, Australia
基金
英国医学研究理事会;
关键词
SF-36; population norms; emic effects; health status; cultural differences; scoring weights;
D O I
10.1007/s11136-006-9154-4
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 The SF36 Version 2 (SF36V2) is a revision of the SF36 Version 1, and is a widely used health status measure. It is important that guidelines for interpreting scores are available. Method A population sample of Australians (n = 3015) weighted to achieve representativeness was administered the SF36V2. Comparisons between published US weights and sample derived weights were made, and Australian population norms computed and presented. Major findings Significant differences were observed on 7/8 scales and on the mental health summary scale. Possible causes of these findings may include different sampling and data collection procedures, demographic characteristics, differences in data collection time ( 1998 vs. 2004), differences in health status or differences in cultural perception of the meaning of health. Australian population norms by age cohort, gender and health status are reported by T-score as recommended by the instrument developers. Additionally, the proportions of cases within T-score deciles are presented and show there are important data distribution issues. Principal conclusions The procedures reported here may be used by other researchers where local effects are suspected. The population norms presented may be of interest. There are statistical artefacts associated with T-scores that have implications for how SF36V2 data are analysed and interpreted.
引用
收藏
页码:661 / 673
页数:13
相关论文
共 57 条
[51]
Telephone administration of the SF-36 health survey: Validation studies and population norms for adults in Queensland [J].
Watson, EK ;
Firman, DW ;
Baade, PD ;
Ring, I .
AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH, 1996, 20 (04) :359-363
[52]
The influence of ethnicity on health-related quality of life in diabetes mellitus - A population-based, multiethnic study [J].
Wee, HL ;
Li, SC ;
Cheung, YB ;
Fong, KY ;
Thumboo, J .
JOURNAL OF DIABETES AND ITS COMPLICATIONS, 2006, 20 (03) :170-178
[53]
WHOQOL Group, 1995, Soc Sci Med, V41, P1403, DOI [DOI 10.1016/0277-9536(95)00112-K, 10.1016/0277-9536(95)00112-K, 10.1016/0277-9536(95)00112-k]
[54]
Clinically important change in quality of life in epilepsy [J].
Wiebe, S ;
Matijevic, S ;
Eliasziw, M ;
Derry, PA .
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY, 2002, 73 (02) :116-120
[55]
The SF-36 summary scales: Problems and solutions [J].
Wilson, D ;
Parsons, J ;
Tucker, G .
SOZIAL-UND PRAVENTIVMEDIZIN, 2000, 45 (06) :239-246
[56]
Wilson DH., 1992, HLTH PROMOT J AUST, V2, P47
[57]
THE SHORT-FORM-36 HEALTH-STATUS QUESTIONNAIRE - CLUES FROM THE OXFORD REGIONS NORMATIVE DATA ABOUT ITS USEFULNESS IN MEASURING HEALTH GAIN IN POPULATION SURVEYS [J].
ZIEBLAND, S .
JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 1995, 49 (01) :102-105