Mapping the obesity problems scale to the SF-6D: results based on the Scandinavian Obesity Surgery Registry (SOReg)

Sun Sun (), Erik Stenberg, Yang Cao, Lars Lindholm, Klas-Göran Salén, Karl A. Franklin and Nan Luo
Additional contact information
Sun Sun: Umeå University
Erik Stenberg: Örebro University
Yang Cao: Örebro University
Lars Lindholm: Umeå University
Klas-Göran Salén: Umeå University
Karl A. Franklin: Umeå University
Nan Luo: National University of Singapore

The European Journal of Health Economics, 2023, vol. 24, issue 2, No 10, 279-292

Abstract: Abstract Background Obesity Problem Scale (OP) is a widely applied instrument for obesity, however currently calculation of health utility based on OP is not feasible as it is not a preference-based measure. Using data from the Scandinavian Obesity Surgery Registry (SOReg), we sought to develop a mapping algorithm to estimate SF-6D utility from OP. Furthermore, to test whether the mapping algorithm is robust to the effect of surgery. Method The source data SOReg (n = 36 706) contains both OP and SF-36, collected at pre-surgery and at 1, 2 and 5 years post-surgery. The Ordinary Least Square (OLS), beta-regression and Tobit regression were used to predict the SF-6D utility for different time points respectively. Besides the main effect model, different combinations of patient characteristics (age, sex, Body Mass Index, obesity-related comorbidities) were tested. Both internal validation (split-sample validation) and validation with testing the mapping algorithm on a dataset from other time points were carried out. A multi-stage model selection process was used, accessing model consistency, parsimony, goodness-of-fit and predictive accuracy. Models with the best performance were selected as the final mapping algorithms. Results The final mapping algorithms were based on OP summary score using OLS models, for pre- and post-surgery respectively. Mapping algorithms with different combinations of patients’ characteristics were presented, to satisfy the user with a different need. Conclusion This study makes available algorithms enabling crosswalk from the Obesity Problem Scale to the SF-6D utility. Different mapping algorithms are recommended for the mapping of pre- and post-operative data.

Keywords: Mapping; Quality of life (QOL); Obesity-problem scale (OP); SF-6D; Obesity; Health utility; Cross-walk (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10198-022-01473-7

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