探索慢性病患者使用远程保健与治疗负担之间的关系:加拿大安大略省横断面研究。

PLOS digital health Pub Date : 2024-10-15 eCollection Date: 2024-10-01 DOI:10.1371/journal.pdig.0000610
Farah Tahsin, Carolyn Steele Gray, Jay Shaw, Aviv Shachak
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引用次数: 0

摘要

五分之一的加拿大人患有一种或多种慢性疾病。慢性病患者往往因为管理护理工作而承受沉重的治疗负担。远程保健被认为是减轻慢性病患者治疗负担的有效解决方案。然而,远程保健也可能因减轻患者的责任而增加治疗负担。这项在加拿大安大略省进行的横断面研究探讨了慢性病患者使用远程医疗与治疗负担之间的关系。本研究旨在探讨远程医疗的使用是否以及在多大程度上与慢性病患者的治疗负担有关。次要目标是探索哪些社会人口变量与患者的治疗负担有关。我们对居住在社区、患有一种或多种慢性疾病的患者进行了在线调查。治疗负担问卷(TBQ-15)用于测量患者的治疗负担水平,经修改的远程医疗使用量表用于测量远程医疗的使用频率。数据分析采用了描述性统计、相关性分析、方差分析和层次线性回归分析。共有 75 名患者完成了调查。参与者的平均年龄为 64 岁(SD = 18.93),79% 为女性。报告的平均治疗负担为 72.15 分(满分 150 分,分数越高,负担越重)。在对人口统计学变量进行调整后,远程医疗使用频率越高,治疗负担越重,但相关性在统计学上并不显著。此外,在对人口统计学变量进行调整后,年龄较小、有无偿照顾者与治疗负担得分较高呈正相关。这一发现表明,在使用远程医疗的情况下,一些患者群体更有可能承受高治疗负担;因此,在使用远程医疗技术时可能需要额外的支持。这项研究强调了进一步研究的必要性,以探讨如何最大限度地减轻有较高医疗保健需求的个人的治疗负担。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the relationship between telehealth utilization and treatment burden among patients with chronic conditions: A cross-sectional study in Ontario, Canada.

One in five Canadians lives with one or more chronic conditions. Patients with chronic conditions often experience a high treatment burden because of the work associated with managing care. Telehealth is considered a useful solution to reduce the treatment burden among patients with chronic conditions. However, telehealth can also increase the treatment burden by offloading responsibilities on patients. This cross-sectional study conducted in Ontario, Canada examines the association between telehealth utilization and treatment burden among patients with chronic conditions. This study aimed to explore whether and to what extent, telehealth use is associated with treatment burden among patients with chronic conditions. The secondary objective was to explore which sociodemographic variables are associated with patients' treatment burden. An online survey was administered to community-dwelling patients with one or more chronic conditions. The Treatment Burden Questionnaire (TBQ-15) was used to measure the patient's level of treatment burden, and a modified telehealth usage scale was developed and used to measure the frequency of telehealth use. Data was analyzed using descriptive statistics, correlations, analyses of variance, and hierarchical linear regression analysis. A total of 75 patients completed the survey. The participants' mean age was 64 (SD = 18.93) and 79% were female. The average reported treatment burden was 72.15 out of 150 (a higher score indicating a higher level of burden). When adjusted for demographic variables, a higher frequency of telehealth use was associated with experiencing a higher treatment burden, but the association was not statistically significant. Additionally, when adjusted for demographic variables, younger age, and the presence of an unpaid caregiver were positively related to a high treatment burden score. This finding demonstrates that some patient populations are more at risk of experiencing high treatment burden in the context of telehealth use; and hence, may require extra support to utilize telehealth technologies. The study highlights the need for further research to explore how to minimize the treatment burden among individuals with higher healthcare needs.

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