成人慢性疼痛患者的电子健康素养与个体因素的关系:一项横断面研究

G. Martorella, Hye‐Jin Park, G. Schluck
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引用次数: 0

摘要

慢性疼痛需要个人发展自我管理技能,这依赖于健康素养和最近的电子健康素养。很少有研究调查了慢性疼痛患者的电子健康素养的潜在预测因素。因此,本研究的目的是探索个人特征和疼痛相关临床因素之间的电子健康素养的潜在预测因素,作为了解多变量关系的初步步骤,可以在更大规模的研究中进行检验。方法:使用亚马逊的土耳其机器人,对生活在美国的患有各种慢性疼痛的成年人进行横断面在线调查。招募了196名参与者作为方便样本。与电子健康素养(因变量)相关的自变量包括人口统计、健康素养、慢性疼痛严重程度、疼痛态度和应对技能。关联的卡方检验和独立样本t检验用于检验双变量关系。结果:大多数样本患有2年以上的慢性疼痛,其中48%患有慢性背痛。大多数样本(n=184, 93.9%)具有较高的电子健康素养。发现电子健康素养与以下变量之间存在显著关系:婚姻状况、教育水平和年龄,以及健康素养、慢性疼痛对活动的干扰和慢性疼痛态度。这些值得在使用逻辑回归的更大规模研究中进一步探索。结论:我们的研究结果为电子健康素养水平、疼痛相关的个人因素(如对疼痛的态度)和临床结果(即疼痛对身体和心理功能的干扰)之间的关系提供了新的信息。尽管需要进一步的研究来调查电子健康素养的预测因素和中介因素,但这些发现促进了基于证据的干预措施的开发和评估,以提高电子健康素养技能,以及慢性疼痛患者的自我管理技能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The relationship between electronic health literacy and individual factors among adults with chronic pain: A cross-sectional study
Introduction: Chronic pain requires individuals to develop self-management skills that rely on health literacy and, more recently, eHealth literacy. Very few studies have investigated potential predictors of eHealth literacy in chronic pain patients. Therefore, the purpose of this study is to explore potential predictors of eHealth literacy among individual characteristics and pain-related clinical factors, as a preliminary step to understanding the multi-variable relationships that could be examined in a larger study. Methods: A cross-sectional online survey was distributed to adults living in the United States with various chronic pain conditions using Amazon’s Mechanical Turk. A convenience sample of 196 participants was recruited. The independent variables of interest regarding their relationship with eHealth literacy (dependent variable) included demographics, health literacy, chronic pain severity, pain attitudes and coping skills. Chi square tests of association, and independent samples t-tests were used to examine the bivariate relationships. Results: The majority of the sample suffered from chronic pain for more than 2 years with 48% suffering from chronic back pain. Most of the sample (n=184, 93.9%) had high eHealth literacy. Significant relationships were found between eHealth literacy and the following variables: marital status, education level, and age, as well as health literacy, chronic pain interference with activities and chronic pain attitudes. These warrant further exploration in a larger study using logistic regression. Conclusions: our findings provide new information on the relationship between eHealth literacy levels, pain-related individual factors such as attitudes toward pain, and clinical outcomes, i.e., pain interference with physical and psychological function. Although further research is needed to investigate eHealth literacy predictors and mediators, these findings promote the evidence-based development and evaluation of interventions enhancing eHealth literacy skills, as well as self-management skills of chronic pain patients.
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