Predicting Quality of Well-being scores from the SF-36: results from the Beaver Dam Health Outcomes Study - PubMed (original) (raw)
Predicting Quality of Well-being scores from the SF-36: results from the Beaver Dam Health Outcomes Study
D G Fryback et al. Med Decis Making. 1997 Jan-Mar.
Abstract
Background: The SF-36 and the Quality of Well-being index (QWB) both quantify health status, yet have very different methodologic etiologies. The authors sought to develop an empirical equation allowing prediction of the QWB from the SF-36.
Data: They used empirical observations of SF-36 profiles and QWB scores collected in interviews of 1,430 persons during the Beaver Dam Health Outcomes Study, a community-based population study of health status, and 57 persons from a renal dialysis clinic.
Method: The eight scales of the SF-36, their squares, and all pairwise cross-products, were used as candidate variables in stepwise and best-subsets regressions to predict QWB scores using 1,356 interviews reported in a previous paper. The resulting equation was cross-validated on the remaining 74 cases and using the renal dialysis patients.
Results: A six-variable regression equation drawing on five of the SF-36 components predicted 56.9% of the observed QWB variance. The equation achieved an R2 of 49.5% on cross-validation using Beaver Dam participants and an R2 of 58.7% with the renal dialysis patients. An approximation for computing confidence intervals for predicted QWB mean scores is given.
Conclusion: SF-36 data may be used to predict mean QWB scores for groups of patients, and thus may be useful to modelers who are secondary users of health status profile data. The equation may also be used to provide an overall health utility summary score to represent SF-36 profile data so long as the profiles are not severely limited by floor or ceiling effects of the SF-36 scales. The results of this study provide a quantitative link between two important measures of health status.
Similar articles
- Evidence for potential bias in the Health and Activity Limitation Index as a health preference measure for persons with disabilities.
Boslaugh SE, Andresen EM, Recktenwald A, Gillespie K. Boslaugh SE, et al. Disabil Health J. 2009 Jan;2(1):20-6. doi: 10.1016/j.dhjo.2008.07.004. Disabil Health J. 2009. PMID: 21122739 - Comparison of the Quality of Well-being Scale and the SF-36 results among two samples of ill adults: AIDS and other illnesses.
Anderson JP, Kaplan RM, Coons SJ, Schneiderman LJ. Anderson JP, et al. J Clin Epidemiol. 1998 Sep;51(9):755-62. doi: 10.1016/s0895-4356(98)00046-8. J Clin Epidemiol. 1998. PMID: 9731924 - Performance of a self-administered mailed version of the Quality of Well-Being (QWB-SA) questionnaire among older adults.
Andresen EM, Rothenberg BM, Kaplan RM. Andresen EM, et al. Med Care. 1998 Sep;36(9):1349-60. doi: 10.1097/00005650-199809000-00007. Med Care. 1998. PMID: 9749658 - Performance of health-related quality-of-life instruments in a spinal cord injured population.
Andresen EM, Fouts BS, Romeis JC, Brownson CA. Andresen EM, et al. Arch Phys Med Rehabil. 1999 Aug;80(8):877-84. doi: 10.1016/s0003-9993(99)90077-1. Arch Phys Med Rehabil. 1999. PMID: 10453762 - Adult measures of general health and health-related quality of life: Medical Outcomes Study Short Form 36-Item (SF-36) and Short Form 12-Item (SF-12) Health Surveys, Nottingham Health Profile (NHP), Sickness Impact Profile (SIP), Medical Outcomes Study Short Form 6D (SF-6D), Health Utilities Index Mark 3 (HUI3), Quality of Well-Being Scale (QWB), and Assessment of Quality of Life (AQoL).
Busija L, Pausenberger E, Haines TP, Haymes S, Buchbinder R, Osborne RH. Busija L, et al. Arthritis Care Res (Hoboken). 2011 Nov;63 Suppl 11:S383-412. doi: 10.1002/acr.20541. Arthritis Care Res (Hoboken). 2011. PMID: 22588759 Review. No abstract available.
Cited by
- Mapping the Patient-Reported Outcomes Measurement Information System (PROMIS-29) to EQ-5D-5L.
Aghdaee M, Gu Y, Sinha K, Parkinson B, Sharma R, Cutler H. Aghdaee M, et al. Pharmacoeconomics. 2023 Feb;41(2):187-198. doi: 10.1007/s40273-022-01157-3. Epub 2022 Nov 7. Pharmacoeconomics. 2023. PMID: 36336773 Free PMC article. - Health-related quality of life among US military personnel injured in combat: findings from the Wounded Warrior Recovery Project.
Woodruff SI, Galarneau MR, McCabe CT, Sack DI, Clouser MC. Woodruff SI, et al. Qual Life Res. 2018 May;27(5):1393-1402. doi: 10.1007/s11136-018-1806-7. Epub 2018 Feb 15. Qual Life Res. 2018. PMID: 29450855 - Echinococcosis: An Economic Evaluation of a Veterinary Public Health Intervention in Rural Canada.
Schurer JM, Rafferty E, Farag M, Zeng W, Jenkins EJ. Schurer JM, et al. PLoS Negl Trop Dis. 2015 Jul 2;9(7):e0003883. doi: 10.1371/journal.pntd.0003883. eCollection 2015. PLoS Negl Trop Dis. 2015. PMID: 26135476 Free PMC article. - Mapping the FACT-G cancer-specific quality of life instrument to the EQ-5D and SF-6D.
Teckle P, McTaggart-Cowan H, Van der Hoek K, Chia S, Melosky B, Gelmon K, Peacock S. Teckle P, et al. Health Qual Life Outcomes. 2013 Dec 1;11:203. doi: 10.1186/1477-7525-11-203. Health Qual Life Outcomes. 2013. PMID: 24289488 Free PMC article. Clinical Trial. - Quality-of-life loss of people admitted to burn centers, United States.
Miller T, Bhattacharya S, Zamula W, Lezotte D, Kowalske K, Herndon D, Fauerbach J, Engrav L. Miller T, et al. Qual Life Res. 2013 Nov;22(9):2293-305. doi: 10.1007/s11136-012-0321-5. Epub 2012 Dec 8. Qual Life Res. 2013. PMID: 23224665
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources