Comparison of health utility weights among elderly patients receiving breast-conserving surgery plus hormonal therapy with or without radiotherapy
Supporting Files
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2 2017
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File Language:
English
Details
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Alternative Title:Curr Med Res Opin
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Personal Author:
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Description:Background
The selection of the most appropriate treatment combinations requires the balancing of benefits and harms of these treatment options as well as the patients’ preferences for the resulting outcomes.
Objective
This research aimed at estimating and comparing the utility weights between elderly women with early stage hormone receptor positive (HR+) breast cancer receiving a combination of radiotherapy and hormonal therapy after breast conserving surgery (BCS) and those receiving a combination of BCS and hormonal therapy.
Methods
The Surveillance, Epidemiology, and End Results (SEER) linked with Medicare Health Outcomes Survey (MHOS) was used as the data source. Health utility weights were derived from the VR-12 health-related quality of life instrument using a mapping algorithm. Descriptive statistics of the sample were provided. Two sample t-tests were performed to determine potential differences in mean health utility weights between the two groups after propensity score matching.
Results
The average age at diagnosis was 72 vs. 76 years for the treated and the untreated groups, respectively. The results showed an inverse relationship between the receipt of radiotherapy and age. Patients who received radiotherapy had, on average, a higher health utility weight (0.70; SD = 0.123) compared with those who did not receive radiotherapy (0.676; SD = 0.130). Only treated patients who had more than two comorbid conditions had significantly higher health utility weights compared with patients who were not treated.
Conclusions
The mean health utility weights estimated for the radiotherapy and no radiotherapy groups can be used to inform a comparative cost-effectiveness analysis of the treatment options. However, the results of this study may not be generalizable to those who are outside a managed care plan because MHOS data is collected on managed care beneficiaries.
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Subjects:
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Keywords:
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Source:Curr Med Res Opin. 33(2):391-400
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Pubmed ID:27819160
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Pubmed Central ID:PMC5344798
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Document Type:
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Funding:HHSN261201000140C/CA/NCI NIH HHSUnited States/ ; HHSN261201000035C/CA/NCI NIH HHSUnited States/ ; P20 MD006738/MD/NIMHD NIH HHSUnited States/ ; G12 MD007582/MD/NIMHD NIH HHSUnited States/ ; HHSN261201000035I/CA/NCI NIH HHSUnited States/ ; HHSN261201000034C/CA/NCI NIH HHSUnited States/ ; U58 DP003862/DP/NCCDPHP CDC HHSUnited States/
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Volume:33
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Issue:2
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Collection(s):
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Main Document Checksum:urn:sha256:981a0f8184d1688075ff8b90006e32b1dd61ed10450c2dffe84daed91f5b2089
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Download URL:
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File Type:
Supporting Files
File Language:
English
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