Evaluating the Need to Address Digital Literacy Among Hospitalized Patients: Cross-Sectional Observational Study
Evaluating the Need to Address Digital Literacy Among Hospitalized Patients: Cross-Sectional Observational Study
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DOI：
10.2196/17519
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发表时间：
2020-06-04
影响因子：
7.4
通讯作者：
Press, Valerie G.
中科院分区：
文献类型：
--
作者：
Vollbrecht, Hanna;Arora, Vineet;Press, Valerie G.
背景：技术是一种潜在的强大工具，可以帮助患者在住院期间和之后进行护理过渡。健康素养低的患者特别容易从这种干预措施中受益，他们的健康结果往往不佳。然而，这些人可能缺乏有效接触技术的能力。尽管先前的研究研究了健康素养在门诊患者技术获取/使用中的作用，但住院患者群体并未在这一背景下进行调查。此外，随着技术的迅速普及，接入可能不再相关，技术能力的差异可能会推动目前的数字鸿沟。目的：我们试图确定住院患者的健康素养水平与技术获取、使用和能力之间的关系。方法：作为正在进行的护理质量研究的一部分，成人住院患者完成了一项询问技术获取/使用和在线能力的技术调查。参与者的健康素养水平使用3个问题的简要健康素养屏幕进行评估。进行了描述性统计、双变量卡方分析和多变量Logistic回归分析(调整了年龄、种族、性别和教育水平)。对18个测试使用Bonferroni校正，显著性阈值P值为
Background: Technology is a potentially powerful tool to assist patients with transitions of care during and after hospitalization. Patients with low health literacy who are predisposed to poor health outcomes are particularly poised to benefit from such interventions. However, this population may lack the ability to effectively engage with technology. Although prior research studied the role of health literacy in technology access/use among outpatients, hospitalized patient populations have not been investigated in this context. Further, with the rapid uptake of technology, access may no longer be pertinent, and differences in technological capabilities may drive the current digital divide. Thus, characterizing the digital literacy of hospitalized patients across health literacy levels is paramount.Objective: We sought to determine the relationship between health literacy level and technological access, use, and capability among hospitalized patients.Methods: Adult inpatients completed a technology survey that asked about technology access/use and online capabilities as part of an ongoing quality of care study. Participants' health literacy level was assessed utilizing the 3-question Brief Health Literacy Screen. Descriptive statistics, bivariate chi-squared analyses, and multivariate logistic regression analyses (adjusting for age, race, gender, and education level) were performed. Using Bonferroni correction for the 18 tests, the threshold P value for significance was