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Health-related quality of life predicted subsequent health care resource utilization in patients with active cancer
PURPOSE: The objective of this study was to estimate the association between SF-12v2® Health Survey (SF-12v2) scores and subsequent health care resource utilization (HCRU) among patients with cancer. METHODS: We analyzed 18+ year participants in the Medical Expenditure Panel Survey, diagnosed with a...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6439153/ https://www.ncbi.nlm.nih.gov/pubmed/30543017 http://dx.doi.org/10.1007/s11136-018-2085-z |
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author | Rendas-Baum, Regina D’Alessio, Denise Bjorner, Jakob Bue |
author_facet | Rendas-Baum, Regina D’Alessio, Denise Bjorner, Jakob Bue |
author_sort | Rendas-Baum, Regina |
collection | PubMed |
description | PURPOSE: The objective of this study was to estimate the association between SF-12v2® Health Survey (SF-12v2) scores and subsequent health care resource utilization (HCRU) among patients with cancer. METHODS: We analyzed 18+ year participants in the Medical Expenditure Panel Survey, diagnosed with active cancer or malignancy (n = 647). HCRU was measured by total medical expenditures (MEs) and number of medical events (EVs) in the 6 months following the SF-12v2 assessment. The effect of SF-12v2 scores (physical (PCS) and mental (MCS) component summary scores and the SF-6D health-utility score) on HCRU was estimated using generalized linear models. Estimates were obtained for the entire sample and for the four cancer groups present in the sample: breast, prostate, skin, and lung. RESULTS: For PCS and MCS, a one-point better score was associated with 2% lower MEs (P < 0.001) and 2.5% lower MEs (P = 0.015), respectively. A 0.05-point better SF-6D score was associated with 7% lower MEs (P = 0.003). PCS and SF-6D were more strongly associated with MEs for prostate cancer patients (P = 0.009 and P = 0.003) and PCS was more strongly associated with MEs for skin cancer patients (P = 0.019), compared to other cancer groups. A 1-point better PCS predicted 1% lower EVs, while a 0.05 better SF-6D score predicted 4% lower EVs. CONCLUSIONS: The significant associations between SF-12v2 scores from oncology patients and subsequent HCRU can guide interpretations of SF-12v2 scores in evaluation of therapies and in health policy decisions. |
format | Online Article Text |
id | pubmed-6439153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-64391532019-04-15 Health-related quality of life predicted subsequent health care resource utilization in patients with active cancer Rendas-Baum, Regina D’Alessio, Denise Bjorner, Jakob Bue Qual Life Res Article PURPOSE: The objective of this study was to estimate the association between SF-12v2® Health Survey (SF-12v2) scores and subsequent health care resource utilization (HCRU) among patients with cancer. METHODS: We analyzed 18+ year participants in the Medical Expenditure Panel Survey, diagnosed with active cancer or malignancy (n = 647). HCRU was measured by total medical expenditures (MEs) and number of medical events (EVs) in the 6 months following the SF-12v2 assessment. The effect of SF-12v2 scores (physical (PCS) and mental (MCS) component summary scores and the SF-6D health-utility score) on HCRU was estimated using generalized linear models. Estimates were obtained for the entire sample and for the four cancer groups present in the sample: breast, prostate, skin, and lung. RESULTS: For PCS and MCS, a one-point better score was associated with 2% lower MEs (P < 0.001) and 2.5% lower MEs (P = 0.015), respectively. A 0.05-point better SF-6D score was associated with 7% lower MEs (P = 0.003). PCS and SF-6D were more strongly associated with MEs for prostate cancer patients (P = 0.009 and P = 0.003) and PCS was more strongly associated with MEs for skin cancer patients (P = 0.019), compared to other cancer groups. A 1-point better PCS predicted 1% lower EVs, while a 0.05 better SF-6D score predicted 4% lower EVs. CONCLUSIONS: The significant associations between SF-12v2 scores from oncology patients and subsequent HCRU can guide interpretations of SF-12v2 scores in evaluation of therapies and in health policy decisions. Springer International Publishing 2018-12-12 2019 /pmc/articles/PMC6439153/ /pubmed/30543017 http://dx.doi.org/10.1007/s11136-018-2085-z Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Rendas-Baum, Regina D’Alessio, Denise Bjorner, Jakob Bue Health-related quality of life predicted subsequent health care resource utilization in patients with active cancer |
title | Health-related quality of life predicted subsequent health care resource utilization in patients with active cancer |
title_full | Health-related quality of life predicted subsequent health care resource utilization in patients with active cancer |
title_fullStr | Health-related quality of life predicted subsequent health care resource utilization in patients with active cancer |
title_full_unstemmed | Health-related quality of life predicted subsequent health care resource utilization in patients with active cancer |
title_short | Health-related quality of life predicted subsequent health care resource utilization in patients with active cancer |
title_sort | health-related quality of life predicted subsequent health care resource utilization in patients with active cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6439153/ https://www.ncbi.nlm.nih.gov/pubmed/30543017 http://dx.doi.org/10.1007/s11136-018-2085-z |
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