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A Systematic Literature Review of Health Utility Values in Breast Cancer

BACKGROUND: Health utility values (HUVs) are important inputs to the cost-utility analysis of breast cancer interventions. PURPOSE: Provide a catalog of breast cancer–related published HUVs across different stages of breast cancer and treatment interventions. DATA SOURCES: Systematic searches of MED...

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Autores principales: Kaur, Manraj N., Yan, Jiajun, Klassen, Anne F., David, Justin P., Pieris, Dilshan, Sharma, Manraj, Bordeleau, Louise, Xie, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9189726/
https://www.ncbi.nlm.nih.gov/pubmed/35042379
http://dx.doi.org/10.1177/0272989X211065471
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author Kaur, Manraj N.
Yan, Jiajun
Klassen, Anne F.
David, Justin P.
Pieris, Dilshan
Sharma, Manraj
Bordeleau, Louise
Xie, Feng
author_facet Kaur, Manraj N.
Yan, Jiajun
Klassen, Anne F.
David, Justin P.
Pieris, Dilshan
Sharma, Manraj
Bordeleau, Louise
Xie, Feng
author_sort Kaur, Manraj N.
collection PubMed
description BACKGROUND: Health utility values (HUVs) are important inputs to the cost-utility analysis of breast cancer interventions. PURPOSE: Provide a catalog of breast cancer–related published HUVs across different stages of breast cancer and treatment interventions. DATA SOURCES: Systematic searches of MEDLINE, MEDLINE In-Process, EMBASE, Web of Science, CINAHL, PsycINFO, EconLit, and Cochrane databases (2005–2017). STUDY SELECTION: Studies published in English that reported mean or median HUVs using direct or indirect methods of utility elicitation for breast cancer. DATA EXTRACTION: Independent reviewers extracted data on a preestablished and piloted form; disagreements were resolved through discussion. DATA ANALYSIS: Mixed-effects meta-regression using restricted maximum likelihood modeling was conducted for intervention type, stage of breast cancer, and typical clinical and treatment trajectory of breast cancer patients to assess the effect of study characteristics (i.e., sample size, utility elicitation method, and respondent type) on HUVs. DATA SYNTHESIS: Seventy-nine studies were included in the review. Most articles (n = 52, 66%) derived HUVs using the EQ-5D. Patients with advanced-stage breast cancer (range, 0.08 to 0.82) reported lower HUVs as compared with patients with early-stage breast cancer (range, 0.58 to 0.99). The meta-regression analysis found that undergoing chemotherapy and surgery and radiation, being diagnosed with an advanced stage of breast cancer, and recurrent cancer were associated with lower HUVs. The members of the general public reported lower HUVs as compared with patients. LIMITATIONS: There was considerable heterogeneity in the study population, health states assessed, and utility elicitation methods. CONCLUSION: This review provides a catalog of published HUVs related to breast cancer. The substantial heterogeneity in the health utility studies makes it challenging for researchers to choose which HUVs to use in cost-utility analyses for breast cancer interventions.
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spelling pubmed-91897262022-06-14 A Systematic Literature Review of Health Utility Values in Breast Cancer Kaur, Manraj N. Yan, Jiajun Klassen, Anne F. David, Justin P. Pieris, Dilshan Sharma, Manraj Bordeleau, Louise Xie, Feng Med Decis Making Reviews BACKGROUND: Health utility values (HUVs) are important inputs to the cost-utility analysis of breast cancer interventions. PURPOSE: Provide a catalog of breast cancer–related published HUVs across different stages of breast cancer and treatment interventions. DATA SOURCES: Systematic searches of MEDLINE, MEDLINE In-Process, EMBASE, Web of Science, CINAHL, PsycINFO, EconLit, and Cochrane databases (2005–2017). STUDY SELECTION: Studies published in English that reported mean or median HUVs using direct or indirect methods of utility elicitation for breast cancer. DATA EXTRACTION: Independent reviewers extracted data on a preestablished and piloted form; disagreements were resolved through discussion. DATA ANALYSIS: Mixed-effects meta-regression using restricted maximum likelihood modeling was conducted for intervention type, stage of breast cancer, and typical clinical and treatment trajectory of breast cancer patients to assess the effect of study characteristics (i.e., sample size, utility elicitation method, and respondent type) on HUVs. DATA SYNTHESIS: Seventy-nine studies were included in the review. Most articles (n = 52, 66%) derived HUVs using the EQ-5D. Patients with advanced-stage breast cancer (range, 0.08 to 0.82) reported lower HUVs as compared with patients with early-stage breast cancer (range, 0.58 to 0.99). The meta-regression analysis found that undergoing chemotherapy and surgery and radiation, being diagnosed with an advanced stage of breast cancer, and recurrent cancer were associated with lower HUVs. The members of the general public reported lower HUVs as compared with patients. LIMITATIONS: There was considerable heterogeneity in the study population, health states assessed, and utility elicitation methods. CONCLUSION: This review provides a catalog of published HUVs related to breast cancer. The substantial heterogeneity in the health utility studies makes it challenging for researchers to choose which HUVs to use in cost-utility analyses for breast cancer interventions. SAGE Publications 2022-01-18 2022-07 /pmc/articles/PMC9189726/ /pubmed/35042379 http://dx.doi.org/10.1177/0272989X211065471 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Reviews
Kaur, Manraj N.
Yan, Jiajun
Klassen, Anne F.
David, Justin P.
Pieris, Dilshan
Sharma, Manraj
Bordeleau, Louise
Xie, Feng
A Systematic Literature Review of Health Utility Values in Breast Cancer
title A Systematic Literature Review of Health Utility Values in Breast Cancer
title_full A Systematic Literature Review of Health Utility Values in Breast Cancer
title_fullStr A Systematic Literature Review of Health Utility Values in Breast Cancer
title_full_unstemmed A Systematic Literature Review of Health Utility Values in Breast Cancer
title_short A Systematic Literature Review of Health Utility Values in Breast Cancer
title_sort systematic literature review of health utility values in breast cancer
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9189726/
https://www.ncbi.nlm.nih.gov/pubmed/35042379
http://dx.doi.org/10.1177/0272989X211065471
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