Search: WFRF:(Sun Nan) >
Mapping the obesity...
Mapping the obesity problems scale to the SF-6D : results based on the Scandinavian Obesity Surgery Registry (SOReg)
-
- Sun, Sun (author)
- Umeå universitet,Institutionen för epidemiologi och global hälsa,Research Group Health Outcomes and Economic Evaluation, Department of Learning, Informatics, Management and Ethics, Karolinska Instiutet, Solna, Sweden
-
- Stenberg, Erik, 1979- (author)
- Örebro universitet,Institutionen för medicinska vetenskaper,Region Örebro län,Department of Surgery, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
-
- Cao, Yang, Associate Professor, 1972- (author)
- Karolinska Institutet,Örebro universitet,Institutionen för medicinska vetenskaper,Region Örebro län,Clinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, Örebro, Sweden
-
show more...
-
- Lindholm, Lars (author)
- Umeå universitet,Institutionen för epidemiologi och global hälsa
-
- Sahlen, Klas-Göran, 1957- (author)
- Umeå universitet,Institutionen för epidemiologi och global hälsa
-
- Franklin, Karl A. (author)
- Umeå universitet,Institutionen för kirurgisk och perioperativ vetenskap
-
- Luo, Nan (author)
- NUS Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
-
show less...
-
(creator_code:org_t)
- 2022-05-20
- 2023
- English.
-
In: European Journal of Health Economics. - : Springer. - 1618-7598 .- 1618-7601. ; 24:2, s. 279-292
- Related links:
-
https://doi.org/10.1...
-
show more...
-
https://umu.diva-por... (primary) (Raw object)
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
https://urn.kb.se/re...
-
http://kipublication...
-
show less...
Abstract
Subject headings
Close
- 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.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Kirurgi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Surgery (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
Keyword
- Cross-walk
- Health utility
- Mapping
- Obesity
- Obesity-problem scale (OP)
- Quality of life (QOL)
- SF-6D
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
To the university's database