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Measuring Family HRQoL Spillover Effects Using Direct Health Utility Assessment

Background. Applications of cost-effectiveness analysis do not typically incorporate effects on caregiver quality of life despite increasing evidence that these effects are measurable. Methods. Using a national sample of US adults, we conducted 2 cross-sectional surveys during December 2011 and Janu...

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Autores principales: Prosser, Lisa A., Lamarand, Kara, Gebremariam, Acham, Wittenberg, Eve
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4270843/
https://www.ncbi.nlm.nih.gov/pubmed/25057048
http://dx.doi.org/10.1177/0272989X14541328
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author Prosser, Lisa A.
Lamarand, Kara
Gebremariam, Acham
Wittenberg, Eve
author_facet Prosser, Lisa A.
Lamarand, Kara
Gebremariam, Acham
Wittenberg, Eve
author_sort Prosser, Lisa A.
collection PubMed
description Background. Applications of cost-effectiveness analysis do not typically incorporate effects on caregiver quality of life despite increasing evidence that these effects are measurable. Methods. Using a national sample of US adults, we conducted 2 cross-sectional surveys during December 2011 and January 2012. One version asked respondents to value their own experience as the family member of a person with a chronic illness (experienced sample), and the other version asked respondents to value hypothetical scenarios describing the experience of having a family member with a chronic illness (community sample). Conditions included Alzheimer’s disease/dementia, arthritis, cancer, and depression. Using standard gamble questions, respondents were asked to value the spillover effects of a family member’s illness. We used regression analysis to evaluate the disutility (loss in health-related quality of life) of having a family member with a chronic illness by condition and relationship type, controlling for the respondent’s own conditions and sociodemographic characteristics. Results. For the experienced sample (n = 1389), regression analyses suggested that greater spillover was associated with certain conditions (arthritis, depression) compared with other conditions (Alzheimer’s disease, cancer). For the community sample (n = 1205), regression analyses indicated that lower spillover was associated with condition (cancer) but not the type of relationship with the ill family member (parent, child, spouse). Conclusions. The effects of illness extend beyond the individual patient to include effects on caregivers of patients, parents of ill children, spouses, and other close family and household members. Cost-effectiveness analyses should consider the inclusion of health-related quality of life spillover effects in addition to caregiving time costs incurred by family members of ill individuals.
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spelling pubmed-42708432014-12-22 Measuring Family HRQoL Spillover Effects Using Direct Health Utility Assessment Prosser, Lisa A. Lamarand, Kara Gebremariam, Acham Wittenberg, Eve Med Decis Making Original Articles Background. Applications of cost-effectiveness analysis do not typically incorporate effects on caregiver quality of life despite increasing evidence that these effects are measurable. Methods. Using a national sample of US adults, we conducted 2 cross-sectional surveys during December 2011 and January 2012. One version asked respondents to value their own experience as the family member of a person with a chronic illness (experienced sample), and the other version asked respondents to value hypothetical scenarios describing the experience of having a family member with a chronic illness (community sample). Conditions included Alzheimer’s disease/dementia, arthritis, cancer, and depression. Using standard gamble questions, respondents were asked to value the spillover effects of a family member’s illness. We used regression analysis to evaluate the disutility (loss in health-related quality of life) of having a family member with a chronic illness by condition and relationship type, controlling for the respondent’s own conditions and sociodemographic characteristics. Results. For the experienced sample (n = 1389), regression analyses suggested that greater spillover was associated with certain conditions (arthritis, depression) compared with other conditions (Alzheimer’s disease, cancer). For the community sample (n = 1205), regression analyses indicated that lower spillover was associated with condition (cancer) but not the type of relationship with the ill family member (parent, child, spouse). Conclusions. The effects of illness extend beyond the individual patient to include effects on caregivers of patients, parents of ill children, spouses, and other close family and household members. Cost-effectiveness analyses should consider the inclusion of health-related quality of life spillover effects in addition to caregiving time costs incurred by family members of ill individuals. SAGE Publications 2015-01 /pmc/articles/PMC4270843/ /pubmed/25057048 http://dx.doi.org/10.1177/0272989X14541328 Text en © The Author(s) 2014 http://creativecommons.org/licenses/by-nc/3.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (http://www.uk.sagepub.com/aboutus/openaccess.htm).
spellingShingle Original Articles
Prosser, Lisa A.
Lamarand, Kara
Gebremariam, Acham
Wittenberg, Eve
Measuring Family HRQoL Spillover Effects Using Direct Health Utility Assessment
title Measuring Family HRQoL Spillover Effects Using Direct Health Utility Assessment
title_full Measuring Family HRQoL Spillover Effects Using Direct Health Utility Assessment
title_fullStr Measuring Family HRQoL Spillover Effects Using Direct Health Utility Assessment
title_full_unstemmed Measuring Family HRQoL Spillover Effects Using Direct Health Utility Assessment
title_short Measuring Family HRQoL Spillover Effects Using Direct Health Utility Assessment
title_sort measuring family hrqol spillover effects using direct health utility assessment
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4270843/
https://www.ncbi.nlm.nih.gov/pubmed/25057048
http://dx.doi.org/10.1177/0272989X14541328
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