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Patient–Proxy Agreement Regarding Health-Related Quality of Life in Survivors with Lymphoma: A Propensity-Score Matching Analysis

SIMPLE SUMMARY: This study investigated the difference in self- and proxy-reported Health-related quality of life (HRQoL), and their associations with sociodemographic and other health characteristics in a sample of Chinese lymphoma survivors. Propensity-score matching approach was used to reduce th...

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Autores principales: Xu, Richard Huan, Dong, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8833321/
https://www.ncbi.nlm.nih.gov/pubmed/35158875
http://dx.doi.org/10.3390/cancers14030607
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author Xu, Richard Huan
Dong, Dong
author_facet Xu, Richard Huan
Dong, Dong
author_sort Xu, Richard Huan
collection PubMed
description SIMPLE SUMMARY: This study investigated the difference in self- and proxy-reported Health-related quality of life (HRQoL), and their associations with sociodemographic and other health characteristics in a sample of Chinese lymphoma survivors. Propensity-score matching approach was used to reduce the bias by selecting a sample in which confounding factors were balanced between two patient groups. The findings show that, compared with proxy-reported patients, self-reported patients were more likely to indicate higher physical, role and emotional, but lower cognitive and social functioning. Further analysis confirmed that a statistically significant difference between self- and proxy-reported HRQoL was found when respondents reported being treated and having completed treatment. Additionally, regarding patients with different subtypes of lymphoma, the difference between patient self- and proxy-reported global HRQoL was not significant between different subtypes of lymphoma. ABSTRACT: Objective: To assess the difference between lymphoma survivors’ self- and proxy-reported health-related quality of life (HRQoL) and its association with socioeconomic and health statuses. Methods: The data used in this study were obtained from a nationwide cross-sectional online survey in 2019. Information about participants’ demographics, health status and HRQoL were collected. The propensity-score matching (PSM) method was used to control the effect of potential confounders on selection bias. A chi-squared test, one-way analysis of variance, and multiple linear regression models were used to assess the relationship between HRQoL and response type adjusted to respondents’ background characteristics. Results: Out of the total 4400 participants, data of 2350 ones were elicited for analysis after PSM process. Patients’ self-reported outcomes indicated a slightly better physical, role and emotional functioning than proxy-reported outcomes. Regression analysis showed that patients, who were older, unemployed, and who received surgery, were more likely to report a lower HRQoL. Further analysis demonstrated that proxy-reported patients who had completed treatment were more likely to report a higher HRQoL than those who were being treated. Conclusions: Our study demonstrates that the agreement between self- and proxy-reported HRQoL is low in patients with lymphoma and the heterogeneities of HRQoL among patients with different types of aggressive NHL (Non-Hodgkin’s lymphoma) is large. Differences in self- and proxy-reported HRQoL should be considered by oncologists when selecting and deciding the optimal care plan for lymphoma survivors.
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spelling pubmed-88333212022-02-12 Patient–Proxy Agreement Regarding Health-Related Quality of Life in Survivors with Lymphoma: A Propensity-Score Matching Analysis Xu, Richard Huan Dong, Dong Cancers (Basel) Article SIMPLE SUMMARY: This study investigated the difference in self- and proxy-reported Health-related quality of life (HRQoL), and their associations with sociodemographic and other health characteristics in a sample of Chinese lymphoma survivors. Propensity-score matching approach was used to reduce the bias by selecting a sample in which confounding factors were balanced between two patient groups. The findings show that, compared with proxy-reported patients, self-reported patients were more likely to indicate higher physical, role and emotional, but lower cognitive and social functioning. Further analysis confirmed that a statistically significant difference between self- and proxy-reported HRQoL was found when respondents reported being treated and having completed treatment. Additionally, regarding patients with different subtypes of lymphoma, the difference between patient self- and proxy-reported global HRQoL was not significant between different subtypes of lymphoma. ABSTRACT: Objective: To assess the difference between lymphoma survivors’ self- and proxy-reported health-related quality of life (HRQoL) and its association with socioeconomic and health statuses. Methods: The data used in this study were obtained from a nationwide cross-sectional online survey in 2019. Information about participants’ demographics, health status and HRQoL were collected. The propensity-score matching (PSM) method was used to control the effect of potential confounders on selection bias. A chi-squared test, one-way analysis of variance, and multiple linear regression models were used to assess the relationship between HRQoL and response type adjusted to respondents’ background characteristics. Results: Out of the total 4400 participants, data of 2350 ones were elicited for analysis after PSM process. Patients’ self-reported outcomes indicated a slightly better physical, role and emotional functioning than proxy-reported outcomes. Regression analysis showed that patients, who were older, unemployed, and who received surgery, were more likely to report a lower HRQoL. Further analysis demonstrated that proxy-reported patients who had completed treatment were more likely to report a higher HRQoL than those who were being treated. Conclusions: Our study demonstrates that the agreement between self- and proxy-reported HRQoL is low in patients with lymphoma and the heterogeneities of HRQoL among patients with different types of aggressive NHL (Non-Hodgkin’s lymphoma) is large. Differences in self- and proxy-reported HRQoL should be considered by oncologists when selecting and deciding the optimal care plan for lymphoma survivors. MDPI 2022-01-25 /pmc/articles/PMC8833321/ /pubmed/35158875 http://dx.doi.org/10.3390/cancers14030607 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Xu, Richard Huan
Dong, Dong
Patient–Proxy Agreement Regarding Health-Related Quality of Life in Survivors with Lymphoma: A Propensity-Score Matching Analysis
title Patient–Proxy Agreement Regarding Health-Related Quality of Life in Survivors with Lymphoma: A Propensity-Score Matching Analysis
title_full Patient–Proxy Agreement Regarding Health-Related Quality of Life in Survivors with Lymphoma: A Propensity-Score Matching Analysis
title_fullStr Patient–Proxy Agreement Regarding Health-Related Quality of Life in Survivors with Lymphoma: A Propensity-Score Matching Analysis
title_full_unstemmed Patient–Proxy Agreement Regarding Health-Related Quality of Life in Survivors with Lymphoma: A Propensity-Score Matching Analysis
title_short Patient–Proxy Agreement Regarding Health-Related Quality of Life in Survivors with Lymphoma: A Propensity-Score Matching Analysis
title_sort patient–proxy agreement regarding health-related quality of life in survivors with lymphoma: a propensity-score matching analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8833321/
https://www.ncbi.nlm.nih.gov/pubmed/35158875
http://dx.doi.org/10.3390/cancers14030607
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