eHEALS: The eHealth Literacy Scale.

eHEALS: The eHealth Literacy Scale.
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DOI:
10.2196/jmir.8.4.e27
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发表时间:
2006-11-14
影响因子:
7.4
通讯作者:
Skinner, Harvey A.
Skinner, Harvey A.
中科院分区:
医学2区
文献类型:
--
作者:
Norman, Cameron D.;Skinner, Harvey A.

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电子保健资源只有在人们能够使用时才有帮助,但仍然没有多少工具可用于评估消费者参与电子保健的能力。超过40%的美国和加拿大成年人基本识字水平较低,这表明大部分人口可能无法获得电子健康资源。使用信息技术促进健康需要电子健康素养-阅读、使用计算机、搜索信息、理解健康信息并将其置于背景中的能力。电子健康素养量表(eHEALS)的目的是(1)评估消费者在使用信息技术促进健康方面的感知技能,(2)帮助确定电子健康计划与消费者之间的匹配度。 eHEALS是一个8项衡量电子健康素养的指标,旨在衡量消费者在发现、评估和应用电子健康信息解决健康问题方面的综合知识、舒适度和感知技能。该研究的目的是在人群背景下对eHEALS的属性进行心理测量评估。选择青年人口作为初期发展的重点,主要是因为他们使用电子保健的程度高,熟悉信息技术工具。 在基线、干预后、3个月和6个月随访时收集数据,使用对照组数据作为单次随机干预试验的一部分,评估基于网络的电子健康计划。量表的信度进行了测试,使用项目分析的内部一致性(系数α)和重测信度估计。主成分因子分析被用来确定理论拟合的措施与数据。 共有664名参与者(370名男孩; 294名女孩),年龄13至21岁(平均值= 14.95; SD = 1.24),在6个月内的4个时间点完成了eHEALS。在基线时对8项量表进行项目分析,产生α = 0.88的紧拟合量表。项目-量表相关性范围为r = 0.51至0.76。重测信度显示从基线到6个月随访的时间内适度稳定(r = 0.68至0.40)。主成分分析产生了一个单因素的解决方案(56%的方差)。在8个项目中,因子负荷范围为0.60至0.84。 eHEALS在多次管理中可靠且一致地捕捉到了电子健康素养的概念,显示出作为评估消费者舒适度和使用信息技术促进健康的技能的工具的前景。在临床环境中,eHEALS有可能作为一种手段来识别那些可能或可能不会受益于转介到电子健康干预或资源。进一步的研究需要检查eHEALS对其他人群和环境的适用性,同时探索电子健康素养和医疗保健结果之间的关系。
Electronic health resources are helpful only when people are able to use them, yet there remain few tools available to assess consumers’ capacity for engaging in eHealth. Over 40% of US and Canadian adults have low basic literacy levels, suggesting that eHealth resources are likely to be inaccessible to large segments of the population. Using information technology for health requires eHealth literacy—the ability to read, use computers, search for information, understand health information, and put it into context. The eHealth Literacy Scale (eHEALS) was designed (1) to assess consumers’ perceived skills at using information technology for health and (2) to aid in determining the fit between eHealth programs and consumers. The eHEALS is an 8-item measure of eHealth literacy developed to measure consumers’ combined knowledge, comfort, and perceived skills at finding, evaluating, and applying electronic health information to health problems. The objective of the study was to psychometrically evaluate the properties of the eHEALS within a population context. A youth population was chosen as the focus for the initial development primarily because they have high levels of eHealth use and familiarity with information technology tools. Data were collected at baseline, post-intervention, and 3- and 6-month follow-up using control group data as part of a single session, randomized intervention trial evaluating Web-based eHealth programs. Scale reliability was tested using item analysis for internal consistency (coefficient alpha) and test-retest reliability estimates. Principal components factor analysis was used to determine the theoretical fit of the measures with the data. A total of 664 participants (370 boys; 294 girls) aged 13 to 21 (mean = 14.95; SD = 1.24) completed the eHEALS at four time points over 6 months. Item analysis was performed on the 8-item scale at baseline, producing a tight fitting scale with α = .88. Item-scale correlations ranged from r = .51 to .76. Test-retest reliability showed modest stability over time from baseline to 6-month follow-up (r = .68 to .40). Principal components analysis produced a single factor solution (56% of variance). Factor loadings ranged from .60 to .84 among the 8 items. The eHEALS reliably and consistently captures the eHealth literacy concept in repeated administrations, showing promise as tool for assessing consumer comfort and skill in using information technology for health. Within a clinical environment, the eHEALS has the potential to serve as a means of identifying those who may or may not benefit from referrals to an eHealth intervention or resource. Further research needs to examine the applicability of the eHEALS to other populations and settings while exploring the relationship between eHealth literacy and health care outcomes.
DOI: 10.1016/s0277-9536(02)00455-0
发表时间: 2003-09-01
影响因子: 5.4
作者:
Skinner, H;Biscope, S;Poland, B
通讯作者: Poland, B
DOI: 10.2196/jmir.8.2.e9
发表时间: 2006-06-16
影响因子: 7.4
作者:
Norman CD;Skinner HA
通讯作者: Skinner HA
DOI: 10.1093/heapro/15.3.259
发表时间: 2000-09-01
影响因子: 2.7
作者:
Nutbeam, D
通讯作者: Nutbeam, D
DOI: 10.2196/jmir.5.4.e32
发表时间: 2003-12-18
影响因子: 7.4
作者:
Skinner H;Biscope S;Poland B;Goldberg E
通讯作者: Goldberg E