Factors predicting eHealth literacy: A profile of California, USA

Ronald W. Berkowsky , Brandon Almanza , Jasmine Garcia , Noah Graza
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Abstract

Objective

Given the known benefits of enhanced eHealth literacy in promoting patient health, identifying segments of the patient population at risk for low eHealth literacy can provide avenues for health professionals to promote enhanced eHealth skills through targeted outreach and intervention. The purpose of this study was to examine factors associated with eHealth literacy and to identify disparities in eHealth literacy in California.

Methods

Using survey data from the 2020 CALSPEAKS survey, ordinary least squares regression was performed on measures of self-assessed eHealth literacy to identify associated factors (N = 780).

Results

Findings showed that the strongest and most consistent predictors of eHealth literacy included self-rated health, a proxy measure for religiosity, Internet use characteristics, and personality traits (i.e., conscientiousness, neuroticism).

Conclusion

Overall, Californians report relatively high levels of eHealth literacy – but, those seeking to increase eHealth literacy among patients in the state may benefit from tailoring digital health information and eHealth interventions based on the significant associations found.

Innovation

Few studies have examined the impacts of personality characteristics on eHealth literacy using a large sample – findings elucidate innovative pathways to enhancing eHealth literacy (e.g., accommodating online content or training interventions to those reporting low conscientiousness or high neuroticism).
预测电子健康素养的因素:美国加州的概况
鉴于提高电子卫生素养在促进患者健康方面的已知益处,确定电子卫生素养低的风险患者群体可以为卫生专业人员提供途径,通过有针对性的外展和干预促进提高电子卫生技能。本研究的目的是检查与电子健康素养相关的因素,并确定加州电子健康素养的差异。方法利用2020年CALSPEAKS调查的调查数据,对自我评估的电子健康素养进行普通最小二乘回归,以确定相关因素(N = 780)。结果发现,电子健康素养最强且最一致的预测因子包括自评健康、宗教虔诚度、互联网使用特征和人格特征(即尽责性、神经质)。总体而言,加州人报告的电子健康素养水平相对较高,但是,那些寻求提高该州患者电子健康素养的人可能会受益于基于所发现的显著关联的定制数字健康信息和电子健康干预。创新很少有研究使用大样本考察了人格特征对电子健康素养的影响——研究结果阐明了提高电子健康素养的创新途径(例如,为那些报告责任心低或高度神经质的人提供在线内容或培训干预措施)。
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来源期刊
PEC innovation
PEC innovation Medicine and Dentistry (General)
CiteScore
0.80
自引率
0.00%
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0
审稿时长
147 days
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