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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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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. |
format | Online Article Text |
id | pubmed-9189726 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
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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