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Can the general public use vignettes to discriminate between Alzheimer’s disease health states?
BACKGROUND: Valid estimates of health-related quality-of-life (HRQoL) are often difficult to obtain from persons with Alzheimer’s disease (AD) and family caregiver proxies. To help assess whether the general public can serve as an alternate source of proxy HRQoL estimates in AD, we examined whether...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4738787/ https://www.ncbi.nlm.nih.gov/pubmed/26842500 http://dx.doi.org/10.1186/s12877-016-0207-4 |
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author | Oremus, Mark Xie, Feng Pullenayegum, Eleanor Gaebel, Kathryn |
author_facet | Oremus, Mark Xie, Feng Pullenayegum, Eleanor Gaebel, Kathryn |
author_sort | Oremus, Mark |
collection | PubMed |
description | BACKGROUND: Valid estimates of health-related quality-of-life (HRQoL) are often difficult to obtain from persons with Alzheimer’s disease (AD) and family caregiver proxies. To help assess whether the general public can serve as an alternate source of proxy HRQoL estimates in AD, we examined whether the general public can use vignettes to discriminate between AD health states. METHODS: We administered a telephone survey to randomly recruited participants from the general public who were aged 18 years or older. Interviewers read vignettes describing the mild, moderate, and severe AD health states to the participants, who answered the EQ-5D-5L and Quality of Life-Alzheimer’s Disease (QoL-AD) scales as if they had AD based on the vignette descriptions. Participants also answered the EQ-5D-5L for their current health states. We converted EQ-5D-5L responses into health utility scores using Canadian preference weights. We employed the Wilcoxon signed rank test to examine whether mean health utility scores and mean QoL-AD scores differed between health states. We used Pearson’s r to assess correlations between health utility and QoL-AD scores. RESULTS: Forty-eight participants (median age = 53 years; 25 female) completed the telephone interview; health utility and QoL-AD scores decreased as AD severity increased (p <0.0001). Mean health utility scores were 0.65 (mild), 0.51 (moderate), and 0.25 (severe). Mean QoL-AD scores were 26.7 (mild), 23.0 (moderate), and 17.4 (severe). The correlations between health utility and QoL-AD scores were moderate to strong (r ≥ 0.62). CONCLUSIONS: Using the vignettes, the general public provided HRQoL estimates that discriminated between the three AD health states. This finding suggests the general public may be a promising source of proxy HRQoL estimates in place of persons with AD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12877-016-0207-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4738787 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-47387872016-02-04 Can the general public use vignettes to discriminate between Alzheimer’s disease health states? Oremus, Mark Xie, Feng Pullenayegum, Eleanor Gaebel, Kathryn BMC Geriatr Research Article BACKGROUND: Valid estimates of health-related quality-of-life (HRQoL) are often difficult to obtain from persons with Alzheimer’s disease (AD) and family caregiver proxies. To help assess whether the general public can serve as an alternate source of proxy HRQoL estimates in AD, we examined whether the general public can use vignettes to discriminate between AD health states. METHODS: We administered a telephone survey to randomly recruited participants from the general public who were aged 18 years or older. Interviewers read vignettes describing the mild, moderate, and severe AD health states to the participants, who answered the EQ-5D-5L and Quality of Life-Alzheimer’s Disease (QoL-AD) scales as if they had AD based on the vignette descriptions. Participants also answered the EQ-5D-5L for their current health states. We converted EQ-5D-5L responses into health utility scores using Canadian preference weights. We employed the Wilcoxon signed rank test to examine whether mean health utility scores and mean QoL-AD scores differed between health states. We used Pearson’s r to assess correlations between health utility and QoL-AD scores. RESULTS: Forty-eight participants (median age = 53 years; 25 female) completed the telephone interview; health utility and QoL-AD scores decreased as AD severity increased (p <0.0001). Mean health utility scores were 0.65 (mild), 0.51 (moderate), and 0.25 (severe). Mean QoL-AD scores were 26.7 (mild), 23.0 (moderate), and 17.4 (severe). The correlations between health utility and QoL-AD scores were moderate to strong (r ≥ 0.62). CONCLUSIONS: Using the vignettes, the general public provided HRQoL estimates that discriminated between the three AD health states. This finding suggests the general public may be a promising source of proxy HRQoL estimates in place of persons with AD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12877-016-0207-4) contains supplementary material, which is available to authorized users. BioMed Central 2016-02-03 /pmc/articles/PMC4738787/ /pubmed/26842500 http://dx.doi.org/10.1186/s12877-016-0207-4 Text en © Oremus et al. 2016 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Oremus, Mark Xie, Feng Pullenayegum, Eleanor Gaebel, Kathryn Can the general public use vignettes to discriminate between Alzheimer’s disease health states? |
title | Can the general public use vignettes to discriminate between Alzheimer’s disease health states? |
title_full | Can the general public use vignettes to discriminate between Alzheimer’s disease health states? |
title_fullStr | Can the general public use vignettes to discriminate between Alzheimer’s disease health states? |
title_full_unstemmed | Can the general public use vignettes to discriminate between Alzheimer’s disease health states? |
title_short | Can the general public use vignettes to discriminate between Alzheimer’s disease health states? |
title_sort | can the general public use vignettes to discriminate between alzheimer’s disease health states? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4738787/ https://www.ncbi.nlm.nih.gov/pubmed/26842500 http://dx.doi.org/10.1186/s12877-016-0207-4 |
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