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Formulation of a Mapping Formula to Estimate Well-Being Utility from Clinical Subjective Well-Being Scales
PURPOSE: Cost-effective analysis is one of the most useful analyses for political decision-making in medicine under a limited budget. Although the data of the ICEpop CAPability measure for Adults (ICECAP-A) is sometimes essential for the measurement of cost effectiveness, such data are often lacking...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9642799/ https://www.ncbi.nlm.nih.gov/pubmed/36387041 http://dx.doi.org/10.2147/PRBM.S383266 |
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author | Koreki, Akihiro Nagaoka, Maki Ninomiya, Akira Mimura, Masaru Sado, Mitsuhiro |
author_facet | Koreki, Akihiro Nagaoka, Maki Ninomiya, Akira Mimura, Masaru Sado, Mitsuhiro |
author_sort | Koreki, Akihiro |
collection | PubMed |
description | PURPOSE: Cost-effective analysis is one of the most useful analyses for political decision-making in medicine under a limited budget. Although the data of the ICEpop CAPability measure for Adults (ICECAP-A) is sometimes essential for the measurement of cost effectiveness, such data are often lacking in most clinical trials. Therefore, a conversion formula (ie mapping) derived from the values of clinical assessment scales into utility is required. PATIENTS AND METHODS: We used an internet survey where 500 general residents were asked to fill in four kinds of self-reported questionnaires [ICECAP-A, the Satisfaction with Life Scale (SWLS), Flourishing Scale (FS), and the Scale of Positive and Negative Experience (SPANE)]. A beta regression was conducted with the utility assessed by ICECAP-A as a dependent variable. RESULTS: We developed several mapping formulae depending on available questionnaires. These mapping formulae were well-validated in our validation sample. The models using a greater number of questionnaires tended to show better mapping. CONCLUSION: The mapping function of our formula was within the range of other reported mapping studies. We believe this formula is useful for cost effective analyses of several trials where utility data are lacking. |
format | Online Article Text |
id | pubmed-9642799 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-96427992022-11-15 Formulation of a Mapping Formula to Estimate Well-Being Utility from Clinical Subjective Well-Being Scales Koreki, Akihiro Nagaoka, Maki Ninomiya, Akira Mimura, Masaru Sado, Mitsuhiro Psychol Res Behav Manag Original Research PURPOSE: Cost-effective analysis is one of the most useful analyses for political decision-making in medicine under a limited budget. Although the data of the ICEpop CAPability measure for Adults (ICECAP-A) is sometimes essential for the measurement of cost effectiveness, such data are often lacking in most clinical trials. Therefore, a conversion formula (ie mapping) derived from the values of clinical assessment scales into utility is required. PATIENTS AND METHODS: We used an internet survey where 500 general residents were asked to fill in four kinds of self-reported questionnaires [ICECAP-A, the Satisfaction with Life Scale (SWLS), Flourishing Scale (FS), and the Scale of Positive and Negative Experience (SPANE)]. A beta regression was conducted with the utility assessed by ICECAP-A as a dependent variable. RESULTS: We developed several mapping formulae depending on available questionnaires. These mapping formulae were well-validated in our validation sample. The models using a greater number of questionnaires tended to show better mapping. CONCLUSION: The mapping function of our formula was within the range of other reported mapping studies. We believe this formula is useful for cost effective analyses of several trials where utility data are lacking. Dove 2022-11-04 /pmc/articles/PMC9642799/ /pubmed/36387041 http://dx.doi.org/10.2147/PRBM.S383266 Text en © 2022 Koreki et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Koreki, Akihiro Nagaoka, Maki Ninomiya, Akira Mimura, Masaru Sado, Mitsuhiro Formulation of a Mapping Formula to Estimate Well-Being Utility from Clinical Subjective Well-Being Scales |
title | Formulation of a Mapping Formula to Estimate Well-Being Utility from Clinical Subjective Well-Being Scales |
title_full | Formulation of a Mapping Formula to Estimate Well-Being Utility from Clinical Subjective Well-Being Scales |
title_fullStr | Formulation of a Mapping Formula to Estimate Well-Being Utility from Clinical Subjective Well-Being Scales |
title_full_unstemmed | Formulation of a Mapping Formula to Estimate Well-Being Utility from Clinical Subjective Well-Being Scales |
title_short | Formulation of a Mapping Formula to Estimate Well-Being Utility from Clinical Subjective Well-Being Scales |
title_sort | formulation of a mapping formula to estimate well-being utility from clinical subjective well-being scales |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9642799/ https://www.ncbi.nlm.nih.gov/pubmed/36387041 http://dx.doi.org/10.2147/PRBM.S383266 |
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