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Gepubliceerd in: Quality of Life Research 9/2018

24-05-2018

SF-6D population norms for the Hong Kong Chinese general population

Auteurs: Carlos K. H. Wong, Brendan Mulhern, Garvin H. L. Cheng, Cindy L. K. Lam

Gepubliceerd in: Quality of Life Research | Uitgave 9/2018

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Abstract

Purpose

To estimate population norms for the SF-6D health preference (utility) scores derived from the MOS SF-36 version 1 (SF-36v1), SF-36 version 2 (SF-36v2), and (SF-12v2) health surveys collected from a representative adult sample in Hong Kong, and to assess differences in SF-6D scores across sociodemographic subgroups.

Methods

A random telephone survey of 2410 Chinese adults was conducted. All respondents completed questionnaires on sociodemographics and presence of chronic diseases (hypertension, diabetes, chronic rheumatism, chronic lung diseases, stroke, and mental illness), and the short-form 36-item health survey (SF-36) version 1, and selected items of the SF-36v2 that were different from those of SF-36v1. Responses of short-form 12-item health survey (SF-12) were extracted from responses of the SF-36 items. SF-6D health utility scores were derived from SF-36 version 1 (SF-6DSF-36v1), SF-36 version 2 (SF-6DSF-36v2), and SF-12 version 2 (SF-6DSF-12v2) using Hong Kong SF-6D value set.

Results

Population norms of SF-6DSF-36v1, SF-6DSF-36v2, and SF-6DSF-12v2 for the Hong Kong Chinese were 0.7947 (± 0.0048), 0.7862 (± 0.0049), and 0.8147 (± 0.0050), respectively. Three SF-6D scores were highly correlated (0.861–0.954), and had a high degree of reliability and absolute agreement. Males had higher health utility scores (SF-6DSF-36v1: 0.0025; SF-6DSF-36v2: 0.025; SF-6DSF-12v2: 0.018) but reported less problems in all the dimensions than women. Respondents with a higher number of chronic diseases had lower SF-6D scores. Among all respondents with one or more chronic diseases, those with hypertension scored the highest whereby those with mental illness scored the least.

Conclusions

The SF-6D utility scores derived from different SF-36 or SF-12 health surveys were different. The population norms based on these three health surveys enable the normative comparisons of health utility scores from specific population or patient groups, and provide estimates of age–gender adjusted health utility scores for health economic evaluations.
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Literatuur
1.
go back to reference National Institute for Health and Care Excellence. (2013) Guide to the methods of technology appraisal 2013. London: NICE. National Institute for Health and Care Excellence. (2013) Guide to the methods of technology appraisal 2013. London: NICE.
2.
go back to reference Brazier, J., Roberts, J., & Deverill, M. (2002). The estimation of a preference-based measure of health from the SF-36. Journal of Health Economics, 21(2), 271–292.CrossRefPubMed Brazier, J., Roberts, J., & Deverill, M. (2002). The estimation of a preference-based measure of health from the SF-36. Journal of Health Economics, 21(2), 271–292.CrossRefPubMed
3.
go back to reference Dolan, P. (1997). Modeling valuations for EuroQol health states. Medical Care, 35(11), 1095–1108.CrossRefPubMed Dolan, P. (1997). Modeling valuations for EuroQol health states. Medical Care, 35(11), 1095–1108.CrossRefPubMed
4.
go back to reference Torrance, G. W., Feeny, D. H., Furlong, W. J., Barr, R. D., Zhang, Y., & Wang, Q. (1996). Multiattribute utility function for a comprehensive health status classification system: Health utilities index mark 2. Medical Care, 34(7), 702–722.CrossRefPubMed Torrance, G. W., Feeny, D. H., Furlong, W. J., Barr, R. D., Zhang, Y., & Wang, Q. (1996). Multiattribute utility function for a comprehensive health status classification system: Health utilities index mark 2. Medical Care, 34(7), 702–722.CrossRefPubMed
5.
go back to reference Brazier, J., Deverill, M., Green, C., Harper, R., & Booth, A. (1999). A review of the use of health status measures in economic evaluation. Health Technology Assessment, 3(9), i–iv, 1–164.PubMed Brazier, J., Deverill, M., Green, C., Harper, R., & Booth, A. (1999). A review of the use of health status measures in economic evaluation. Health Technology Assessment, 3(9), i–iv, 1–164.PubMed
6.
go back to reference Kendall, P. C., Marrs-Garcia, A., Nath, S. R., & Sheldrick, R. C. (1999). Normative comparisons for the evaluation of clinical significance. Journal of Consulting and Clinical Psychology, 67(3), 285–299.CrossRefPubMed Kendall, P. C., Marrs-Garcia, A., Nath, S. R., & Sheldrick, R. C. (1999). Normative comparisons for the evaluation of clinical significance. Journal of Consulting and Clinical Psychology, 67(3), 285–299.CrossRefPubMed
7.
go back to reference Williams, A. (1999). Calculating the global burden of disease: Time for a strategic reappraisal? Health Economics, 8(1), 1–8.CrossRefPubMed Williams, A. (1999). Calculating the global burden of disease: Time for a strategic reappraisal? Health Economics, 8(1), 1–8.CrossRefPubMed
9.
go back to reference Clemens, S., Begum, N., Harper, C., Whitty, J. A., & Scuffham, P. A. (2014). A comparison of EQ-5D-3L population norms in Queensland, Australia, estimated using utility value sets from Australia, the UK and USA. Quality of Life Research, 23(8), 2375–2381.CrossRefPubMed Clemens, S., Begum, N., Harper, C., Whitty, J. A., & Scuffham, P. A. (2014). A comparison of EQ-5D-3L population norms in Queensland, Australia, estimated using utility value sets from Australia, the UK and USA. Quality of Life Research, 23(8), 2375–2381.CrossRefPubMed
10.
go back to reference Lam, C. L., Brazier, J., & McGhee, S. M. (2008). Valuation of the SF-6D Health states is feasible, acceptable, reliable, and valid in a Chinese population. Value Health, 11(2), 295–303.CrossRefPubMed Lam, C. L., Brazier, J., & McGhee, S. M. (2008). Valuation of the SF-6D Health states is feasible, acceptable, reliable, and valid in a Chinese population. Value Health, 11(2), 295–303.CrossRefPubMed
11.
go back to reference McGhee, S. M., Brazier, J., Lam, C. L., Wong, L. C., Chau, J., Cheung, A., et al. (2011). Quality-adjusted life years: Population-specific measurement of the quality component. Hong Kong Medical Journal, 17(Suppl 6), 17–21.PubMed McGhee, S. M., Brazier, J., Lam, C. L., Wong, L. C., Chau, J., Cheung, A., et al. (2011). Quality-adjusted life years: Population-specific measurement of the quality component. Hong Kong Medical Journal, 17(Suppl 6), 17–21.PubMed
12.
go back to reference Norman, R., Church, J., van den Berg, B., & Goodall, S. (2013). Australian health-related quality of life population norms derived from the SF-6D. Australian and New Zealand Journal of Public Health, 37(1), 17–23.CrossRefPubMed Norman, R., Church, J., van den Berg, B., & Goodall, S. (2013). Australian health-related quality of life population norms derived from the SF-6D. Australian and New Zealand Journal of Public Health, 37(1), 17–23.CrossRefPubMed
13.
go back to reference Fryback, D. G., Dunham, N. C., Palta, M., Hanmer, J., Buechner, J., Cherepanov, D., et al. (2007). US norms for six generic health-related quality-of-life indexes from the national health measurement study. Medical Care, 45(12), 1162–1170.CrossRefPubMedPubMedCentral Fryback, D. G., Dunham, N. C., Palta, M., Hanmer, J., Buechner, J., Cherepanov, D., et al. (2007). US norms for six generic health-related quality-of-life indexes from the national health measurement study. Medical Care, 45(12), 1162–1170.CrossRefPubMedPubMedCentral
14.
go back to reference Ciconelli, R. M., Ferraz, M. B., Kowalski, S., Pinheiro Gda, R., & Sato, E. I. (2015). Brazilian urban population norms derived from the health-related quality of life SF-6D. Quality of Life Research, 24(10), 2559–2564.CrossRefPubMed Ciconelli, R. M., Ferraz, M. B., Kowalski, S., Pinheiro Gda, R., & Sato, E. I. (2015). Brazilian urban population norms derived from the health-related quality of life SF-6D. Quality of Life Research, 24(10), 2559–2564.CrossRefPubMed
15.
go back to reference Garcia-Gordillo, M. A., Collado-Mateo, D., Olivares, P. R., & Adsuar, J. C. (2018). Chilean population norms derived from the health-related quality of Life SF-6D. European Journal of Health Economics, 19(5), 675–686.CrossRefPubMed Garcia-Gordillo, M. A., Collado-Mateo, D., Olivares, P. R., & Adsuar, J. C. (2018). Chilean population norms derived from the health-related quality of Life SF-6D. European Journal of Health Economics, 19(5), 675–686.CrossRefPubMed
16.
go back to reference Ferreira, P. L., Ferreira, L. N., & Pereira, L. N. (2015). SF-6D Portuguese population norms. European Journal of Health Economics, 16(3), 235–241.CrossRefPubMed Ferreira, P. L., Ferreira, L. N., & Pereira, L. N. (2015). SF-6D Portuguese population norms. European Journal of Health Economics, 16(3), 235–241.CrossRefPubMed
17.
go back to reference Shiroiwa, T., Fukuda, T., Ikeda, S., Igarashi, A., Noto, S., Saito, S., et al. (2016). Japanese population norms for preference-based measures: EQ-5D-3L, EQ-5D-5L, and SF-6D. Quality of Life Research, 25(3), 707–719.CrossRefPubMed Shiroiwa, T., Fukuda, T., Ikeda, S., Igarashi, A., Noto, S., Saito, S., et al. (2016). Japanese population norms for preference-based measures: EQ-5D-3L, EQ-5D-5L, and SF-6D. Quality of Life Research, 25(3), 707–719.CrossRefPubMed
18.
go back to reference Lam, C. L. K., Tse, E. Y. Y., Gandek, B., & Fong, D. Y. T. (2005). The SF-36 summary scales were valid, reliable, and equivalent in a Chinese population. Journal of Clinical Epidemiology, 58(8), 815–822.CrossRefPubMed Lam, C. L. K., Tse, E. Y. Y., Gandek, B., & Fong, D. Y. T. (2005). The SF-36 summary scales were valid, reliable, and equivalent in a Chinese population. Journal of Clinical Epidemiology, 58(8), 815–822.CrossRefPubMed
19.
go back to reference Lam, E. T., Lam, C. L., Fong, D. Y., & Huang, W. W. (2013). Is the SF-12 version 2 health survey a valid and equivalent substitute for the SF-36 version 2 health survey for the Chinese? Journal of Evaluation in Clinical Practice, 19(1), 200–208.CrossRefPubMed Lam, E. T., Lam, C. L., Fong, D. Y., & Huang, W. W. (2013). Is the SF-12 version 2 health survey a valid and equivalent substitute for the SF-36 version 2 health survey for the Chinese? Journal of Evaluation in Clinical Practice, 19(1), 200–208.CrossRefPubMed
21.
go back to reference Government of Hong Kong SAR. (1996) Population by-census. Census and Statistics Department, editor 1997. Government of Hong Kong SAR. (1996) Population by-census. Census and Statistics Department, editor 1997.
23.
go back to reference Government of Hong Kong SAR. (2017) Thematic household survey report no. 63. In: Census and Statistics Department, editor 2017. Government of Hong Kong SAR. (2017) Thematic household survey report no. 63. In: Census and Statistics Department, editor 2017.
24.
go back to reference Government of Hong Kong SAR. (2017) Mental health review report. Food and Health Bureau, editor 2017. Government of Hong Kong SAR. (2017) Mental health review report. Food and Health Bureau, editor 2017.
Metagegevens
Titel
SF-6D population norms for the Hong Kong Chinese general population
Auteurs
Carlos K. H. Wong
Brendan Mulhern
Garvin H. L. Cheng
Cindy L. K. Lam
Publicatiedatum
24-05-2018
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 9/2018
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-018-1887-3

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