Predicting an SF-6D preference-based score using MCS and PCS scores from the SF-12 or SF-36
- PMID: 19490549
- PMCID: PMC4000703
- DOI: 10.1111/j.1524-4733.2009.00535.x
Predicting an SF-6D preference-based score using MCS and PCS scores from the SF-12 or SF-36
Abstract
Background: The SF-6D preference-based scoring system was developed several years after the SF-12 and SF-36 instruments. A method to predict SF-6D scores from information in previous reports would facilitate backwards comparisons and the use of these reports in cost-effectiveness analyses.
Methods: This report uses data from the 2001-2003 Medical Expenditures Panel Survey (MEPS), the Beaver Dam Health Outcomes Survey, and the National Health Measurement Study. SF-6D scores were modeled using age, sex, mental component summary (MCS) score, and physical component summary (PCS) score from the 2002 MEPS. The resulting SF-6D prediction equation was tested with the other datasets for groups of different sizes and groups stratified by age, MCS score, PCS score, sum of MCS and PCS scores, and SF-6D score.
Results: The equation can be used to predict an average SF-6D score using average age, proportion female, average MCS score, and average PCS score. Mean differences between actual and predicted average SF-6D scores in out-of-sample tests was -0.001 (SF-12 version 1), -0.013 (SF-12 version 2), -0.007 (SF-36 version 1), and -0.010 (SF-36 version 2). Ninety-five percent credible intervals around these point estimates range from +/-0.045 for groups with 10 subjects to +/-0.008 for groups with more than 300 subjects. These results were consistent for a wide range of ages, MCS scores, PCS scores, sum of MCS and PCS scores, and SF-6D scores. SF-6D scores from the SF-36 and SF-12 from the same data set were found to be substantially different.
Conclusions: Simple equation predicts an average SF-6D preference-based score from widely published information.
Figures
Similar articles
-
A comparison of utility measurement using EQ-5D and SF-6D preference-based generic instruments in patients with rheumatoid arthritis.Clin Exp Rheumatol. 2011 Jul-Aug;29(4):661-71. Epub 2011 Aug 31. Clin Exp Rheumatol. 2011. PMID: 21813061
-
Five-year stability in associations of health-related quality of life measures in community-dwelling older adults: the Rancho Bernardo Study.Qual Life Res. 2010 Nov;19(9):1333-41. doi: 10.1007/s11136-010-9700-y. Epub 2010 Jul 24. Qual Life Res. 2010. PMID: 20652752 Free PMC article.
-
Preoperative Short Form Health Survey Score Is Predictive of Return to Play and Minimal Clinically Important Difference at a Minimum 2-Year Follow-up After Anterior Cruciate Ligament Reconstruction.Am J Sports Med. 2017 Oct;45(12):2784-2790. doi: 10.1177/0363546517714472. Epub 2017 Jul 20. Am J Sports Med. 2017. PMID: 28727937
-
Predicting the short form-6D preference-based index using the eight mean short form-36 health dimension scores: estimating preference-based health-related utilities when patient level data are not available.Value Health. 2009 Mar-Apr;12(2):346-53. doi: 10.1111/j.1524-4733.2008.00428.x. Epub 2008 Jul 18. Value Health. 2009. PMID: 18647248
-
What is the use? Application of the short form (SF) questionnaires for the evaluation of treatment effects.Qual Life Res. 2013 Aug;22(6):1225-30. doi: 10.1007/s11136-012-0266-8. Epub 2012 Sep 14. Qual Life Res. 2013. PMID: 22975926 Review.
Cited by
-
A polyphenol fraction from Rosa multiflora var. platyphylala reduces body fat in overweight humans through appetite suppression - a randomized, double-blind, placebo-controlled trial.BMC Complement Med Ther. 2024 May 21;24(1):197. doi: 10.1186/s12906-024-04487-1. BMC Complement Med Ther. 2024. PMID: 38773474 Free PMC article. Clinical Trial.
-
Exploring humanistic burden of fatigue in adults with multiple sclerosis: an analysis of US National Health and Wellness Survey data.BMC Neurol. 2024 Feb 1;24(1):51. doi: 10.1186/s12883-023-03423-z. BMC Neurol. 2024. PMID: 38297247 Free PMC article.
-
Factors associated with patient activation among individuals with depression within racial/ethnic groups in the United States.Prev Med Rep. 2023 Jun 25;35:102299. doi: 10.1016/j.pmedr.2023.102299. eCollection 2023 Oct. Prev Med Rep. 2023. PMID: 37519446 Free PMC article.
-
Comparison of Stage I Non-Small-Cell Lung Cancer Treatments for Patients Living With HIV: A Simulation Study.Clin Lung Cancer. 2023 Nov;24(7):e259-e267.e8. doi: 10.1016/j.cllc.2023.06.004. Epub 2023 Jun 14. Clin Lung Cancer. 2023. PMID: 37407294 Free PMC article.
-
The benefits and harms of adjuvant chemotherapy for non-small cell lung cancer in patients with major comorbidities: A simulation study.PLoS One. 2022 Nov 15;17(11):e0263911. doi: 10.1371/journal.pone.0263911. eCollection 2022. PLoS One. 2022. PMID: 36378625 Free PMC article.
References
-
- Ware JE, Kosinski M, Dewey JE. How to Score Version Two of the SF-36 Health Survey. Lincoln, RI: QualityMetric, Incorporated; 2000.
-
- Ware JE, Kosinski M, Turner-Bowker DM, Gandek B. How to Score Version 2 of the SF-12® Health Survey (With a Supplement Documenting Version 1) Lincoln, RI: QualityMetric Incorporated; 2002.
-
- Gold MR, Russell LB, Weinstein MC, editors. Cost-effectiveness in Health and Medicine. New York: Oxford University Press; 1996.
-
- Fryback DG, Lawrence WF, Martin PA, et al. Predicting quality of well-being scores from the SF-36: results from the beaver dam health outcomes study. Med Decis Making. 1997;17:1–9. - PubMed
-
- Nichol MB, Sengupta N, Globe D. Evaluating quality adjusted life years: estimation of the Health Utility Index (HUI) from the SF-36. Med Decis Making. 2001;21:19–26. - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
