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Quality of Life Research

Erschienen in:

01.05.2007 | Original Paper

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

verfasst von: Graeme Hawthorne, Richard H. Osborne, Anne Taylor, Jan Sansoni

Erschienen in: Quality of Life Research | Ausgabe 4/2007

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Abstract

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.

Ware, J. E., Snow, K. K., Kosinski, M., & Gandek, B. (1993). SF-36 health survey: Manual and interpretation guide. Boston: The Health Institute, New England Medical Centre.

Sanson-Fisher, R. W., & Perkins, J. J. (1998). Adaptation and validation of the SF-36 health survey for use in Australia. Journal of Clinical Epidemiology, 51, 961–67.CrossRefPubMed

McCallum, J. (1994). The new ‘SF-36–health status measure: Australian validity tests. Canberra: National Centre for Epidemiology and Population Health. 2.

McCallum, J. (1995). The SF-36 in an Australian sample: Validating a new, generic health status measure. Australian Journal of Public Health, 19, 160–66.PubMedCrossRef

Perkins, J. J., & Sanson-Fisher, R. W. (1998). An examination of self- and telephone-administered modes of administration for the Australian SF-36. Journal of Clinical Epidemiology, 51, 969–73.CrossRefPubMed

Watson, E., Firman, D., Baade, P., & Ring, I. (1996). Telephone administration of the SF-36 health survey: Validation studies and population norms for adults in Queensland. Australian and New Zealand Journal of Public Health, 20, 359–63.CrossRefPubMed

Ware, J. E., Kosinski, M. A., & Dewey J. E. (2000). How to score version 2 of the SF-36 health survey. Lincoln: Quality Metric Inc.

Andresen, E., Patrick, D., Carter, W., & Malmgren, J. (1995). Comparing the performance of health status measures for healthy older adults. Journal of the American Geriatrics Society, 43, 1030–034.PubMed

Bullinger, M., Alonso, J., Apolone, G., Leplège, A., Sullivan, M., Wood Dauphinee, S., Gandek, B., Wagner, A., Aaronson, N., Bech, P., Fukuhara, S., Kaasa, S., & Ware, J.E. Jr. (1998). Translating health status questionnaires and evaluating their quality: The IQOLA Project approach. International Quality of Life Assessment. Journal of Clinical Epidemiology, 51, 913–23.CrossRefPubMed

10.

Hayes, V., Morris, J., Wolfe, C., & Morgan, M. (1995). The SF-36 health survey questionnaire: Is it suitable for use with older adults? Age and Ageing, 24, 120–25.CrossRefPubMed

11.

O’Mahoney, P. G., Rodgers, H., Thomson, R. G., Dobson, R., & James, O. F. W. (1998). Is the SF-36 suitable for assessing health status of older stroke patients? Age and Ageing, 27, 19–4.CrossRef

12.

Parker, S. G., Peet, S. M., Jagger, C., Farhan, M., & Castleden, C. M. (1998). Measuring health status in older patients. The SF-36 in practice. Age and Ageing, 27, 13–8.CrossRefPubMed

13.

Jenkinson, C. (1995). Evaluating the efficacy of medical treatment: possibilities and limitations. Social Science & Medicine, 41, 1395–401.CrossRef

14.

Adamson, J., Gooberman-Hill, R., Woolhead, G., & Donovan, J. (2004). ‘Questerviews– Using questionnaires in qualitative interviews as a method of integrating qualitative and quantitative health services research. Journal of Health Services Research & Policy, 9, 139–45.CrossRef

15.

Ziebland, S. (1995). The short form 36 health status questionnaire: Clues from the Oxford region’s normative data about its usefulness in measuring health gain in population surveys. Journal of Epidemiology and Community Health, 49, 102–05.CrossRefPubMed

16.

Wilson, D., Parsons, J., & Tucker, G. (2000). The SF-36 summary scales: Problems and solutions. Sozial- und Präventivmedizin, 45, 239–46.CrossRefPubMed

17.

Keller, S. D., Ware, J. E. Jr., Gandek, B., Aaronson, N. K., Alonso, J., Apolone, G., Bjorner, J. B., Brazier, J., Bullinger, M., Fukuhara, S., Kaasa, S., Leplège, A., Sanson Fisher, R. W., Sullivan, M., & Wood Dauphinee, S. (1998). Testing the equivalence of translations of widely used response choice labels: Results from the IQOLA Project. International Quality of Life Assessment. Journal of Clinical Epidemiology, 51, 933–44.CrossRefPubMed

18.

Bjorner, J. B., Damsgaard, M. T., Watt, T., & Groenvold, M. (1998). Tests of data quality, scaling assumptions, and reliability of the Danish SF-36. Journal of Clinical Epidemiology, 51, 1001–011.CrossRefPubMed

19.

Razavi, D., & Gandek, B. (1998). Testing Dutch and French translations of the SF-36 health survey among Belgian angina patients. Journal of Clinical Epidemiology, 51, 975–81.CrossRefPubMed

20.

Kazis, L. E., Lee, A., Spiro, A. 3rd, Rogers, W., Ren, X. S., Miller, D. R., Selim, A., Hamed, A., & Haffer, S. C. (2004). Measurement comparisons of the medical outcomes study and veterans SF-36 health survey. Health Care Financing Review, 25, 43–8.PubMed

21.

McCall, W. A. (1922). How to measure in education. New York: Macmillan.

22.

Taft, C., Karlsson, J., & Sullivan, M. (2004). Performance of the Swedish SF-36 version 2.0. Quality of Life Research, 13, 251–56.CrossRefPubMed

23.

Jenkinson, C., Stewart-Brown, S., Petersen, S., & Paice, C. (1999). Assessment of the SF-36 version 2 in the United Kingdom. Journal of Epidemiology and Community Health, 53, 46–0.CrossRefPubMed

24.

Morfeld, M., Bullinger, M., Nantke, J., & Brahler, E. (2005). Die version 2.0 des SF-36 Health Survey–Ergebnisse einer bevölkerungsrepräsentativen studie. Sozial- und Präventivmedizin, 50, 292–00.CrossRefPubMed

25.

Sansoni, J., & Costi, J. (2001). SF-36: Version 1 or Version 2: The need for Australian normative data. Proceedings of Health Outcomes 2001: The Odyssey Advances Conference. Canberra: Australian Health Outcomes Collaboration.

26.

ABS (1997). National Health Survey: SF-36 Population Norms, Australia. Canberra: Australia Bureau of Statistics.

27.

Harrison Health Research (2004). Findings from Autumn 2004 Health Omnibus Survey. Adelaide, Harrison Health Research.

28.

Wilson, D., Wakefield, M., & Taylor, A. (1992). The South Australian Health Omnibus Survey. Health Promotion Journal of Australia, 2, 47–9.

29.

Ware, J., Kosinski, M., & Keller, S. (1994). SF-36 physical and mental health summary scales: A user’s manual Boston: The Health Institute, New England Medical Centre.

30.

Feeny, D., Furlong, W., & Torrance, G. (1996). Health Utilities Index Mark 2 and Mark 3 (HUI2/3) 15-item questionnaire for self-administered, self-assessed usual health status. Hamilton: Centre for Health Economics and Policy Analysis, McMaster University.

31.

ABS (2005). 3235.4.55.001–Population by age and sex, South Australia Canberra: Australian Bureau of Statistics.

32.

ABS (2003). 2001.0–Census of population and housing: Basic community profiles, 2001 Canberra.

33.

SPSS (2004). SPSS for Windows, Version 13.0 Chicago: SPSS Inc.

34.

Gandek, B., & Ware, J. E. Jr. (1998). Methods for validating and norming translations of health status questionnaires: The IQOLA Project approach. International Quality of Life Assessment. Journal of Clinical Epidemiology, 51, 953–59.CrossRefPubMed

35.

Patrick, D. L., Bush, J. W., & Chen, M. M. (1973). Toward an operational definition of health. Journal of Health and Social Behavior, 14, 6–3.CrossRefPubMed

36.

Shaw, J. W., Johnson, J. A., & Coons, S. J. (2005). US valuation of the EQ-5D health states: Development and testing of the D1 valuation model. Medical Care, 43, 203–20.CrossRefPubMed

37.

Havranek, E. P., & Steiner, J. F. (2005). Valuation of health states in the US versus the UK: Two measures divided by a common language? Medical Care, 43, 201–02.CrossRefPubMed

38.

Johnson, J. A., Luo, N., Shaw, J. W., Kind, P., & Coons, S. J. (2005). Valuations of EQ-5D health states: Are the United States and United Kingdom different? Medical Care, 43, 221–28.CrossRefPubMed

39.

Fryback, D. G. (2005). A US valuation of the EQ-5D. Medical Care, 43, 199–00.CrossRefPubMed

40.

Ware, J., Gandek, B., & Keller, S. (1996). Evaluating instruments used cross-nationally: Methods from the IQOLA project. In B. Spilker (Ed.), Quality of Life and Pharmacoeconomics (pp. 681–92). Philadelphia: Lippincott-Raven Publishers.

41.

Skevington, S. M., Sartorius, N., & Amir, M. (2004). Developing methods for assessing quality of life in different cultural settings. The history of the WHOQOL instruments. Social Psychiatry and Psychiatric Epidemiology, 39, 1–.CrossRefPubMed

42.

Szabo, S., Orley, J., Saxena, S., & The WHOQOL Group. (1997). An approach to response scale development for cross-cultural questionnaires. European Psychologist, 2, 270–76.

43.

WHOQoL Group (1995). The World Health Organization Quality of Life Assessment (WHOQOL): Position paper from the World Health Organization. Social Science & Medicine, 41, 1403–409.CrossRef

44.

Wee, H. L., Li, S. C., Cheung, Y. B., Fong, K. Y., & Thumboo, J. (2006). The influence of ethnicity on health-related quality of life in diabetes mellitus: A population-based, multiethnic study. Journal of Diabetes and its Complications, 20, 170–78.CrossRefPubMed

45.

Ware, J. E. Jr., Gandek, B., Kosinski, M., Aaronson, N. K., Apolone, G., Brazier, J., Bullinger, M., Kaasa, S., Leplege, A., Prieto, L., Sullivan, M., & Thunedborg K. (1998). The equivalence of SF-36 summary health scores estimated using standard and country-specific algorithms in 10 countries: Results from the IQOLA Project. International Quality of Life Assessment. Journal of Clinical Epidemiology, 51, 1167–170.CrossRefPubMed

46.

Angst, F., Aeschlimann, A., & Stucki, G. (2001). Smallest detectable and minimal clinically important differences of rehabilitation intervention with their implications for required sample sizes using WOMAC and SF-36 quality of life measurement instruments in patients with osteoarthritis of the lower extremities. Arthritis Care and Research, 45, 384–91.CrossRefPubMed

47.

Kosinski, M., Zhao, S. Z., Dedhiya, S., Osterhaus, J. T., & Ware, J.,E. Jr. (2000). Determining minimally important changes in generic and disease-specific health-related quality of life questionnaires in clinical trials of rheumatoid arthritis. Arthritis and Rheumatism 43, 1478–487.CrossRefPubMed

48.

Ahroni, J. H., & Boyko, E. J. (2000). Responsiveness of the SF-36 among veterans with diabetes mellitus. Journal of Diabetes and its Complications, 14, 31–9.CrossRefPubMed

49.

Spiegel, B. M., Younossi, Z. M., Hays, R. D., Revicki, D., Robbins, S., & Kanwal, F. (2005). Impact of hepatitis C on health related quality of life: A systematic review and quantitative assessment. Hepatology, 41, 790–00.CrossRefPubMed

50.

Wiebe, S., Matijevic, S., Eliasziw, M., & Derry, P. A. (2002). Clinically important change in quality of life in epilepsy. Journal of Neurology, Neurosurgery, and Psychiatry 73, 116–20.CrossRefPubMed

51.

Quintana, J. M., Escobar, A., Bilbao, A., Arostegui, I., Lafuente, I., & Vidaurreta, I. (2005). Responsiveness and clinically important differences for the WOMAC and SF-36 after hip joint replacement. Osteoarthritis and Cartilage, 13, 1076–083.CrossRefPubMed

52.

Bessette, L., Sangha, O., Kuntz, K. M., Keller, R. B., Lew, R. A., Fossel, A. H., & Katz, J. N. (1998). Comparative responsiveness of generic versus disease-specific and weighted versus unweighted health status measures in carpal tunnel syndrome. Medical Care, 36, 491–02.CrossRefPubMed

53.

Hawthorne, G., Herrman, H., & Murphy, B. (2006). Interpreting the WHOQOL-Brèf: Preliminary population norms and effect sizes. Social Indicators Research, 77, 37–9.CrossRef

54.

Hawthorne, G., & Osborne, R. (2005). Population norms and meaningful differences for the Assessment of Quality of Life (AQoL) measure. Australian and New Zealand Journal of Public Health, 29, 136–42.CrossRefPubMed

55.

ABS (2002). Year Book Australia. Canberra: Australian Bureau of Statistics.

Titel: The SF36 Version 2: critical analyses of population weights, scoring algorithms and population norms
verfasst von: Graeme Hawthorne
Richard H. Osborne
Anne Taylor
Jan Sansoni
Publikationsdatum: 01.05.2007
Verlag: Springer Netherlands
Erschienen in: Quality of Life Research / Ausgabe 4/2007
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-006-9154-4

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Springer Medizin

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

Abstract

Background

Method

Major findings

Principal conclusions

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Springer Medizin

Abstract

Background

Method

Major findings

Principal conclusions

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