Digital Technology Characteristics and Literacy Among Families With Children With Asthma: Cross-Sectional Study.

Digital Technology Characteristics and Literacy Among Families With Children With Asthma: Cross-Sectional Study.
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DOI:
10.2196/48822
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发表时间:
2023-11-29
影响因子:
3.7
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其他
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在儿童哮喘管理中使用数字技术已经成为改善哮喘管理的潜在工具。然而,由于与哮喘差异相关的现有社会因素,数字工具的使用有可能导致哮喘护理的不公平提供。我们的研究重点是父母选择的语言和社会人口因素,这些因素可能会影响数字技术在哮喘自我管理中的使用。本研究旨在通过父母选择的语言(英语或西班牙语)来估计和比较患者、家庭和技术相关的特征,并通过社会人口统计学因素来比较数字素养测量。调查数据收集于2021年7月至12月,来自芝加哥儿科卫生系统肺病提供者就诊的哮喘儿童的父母。问题评估了患者和家庭特征、数字技术使用和数字素养,使用经过验证的电子健康素养量表(eHEALS)进行测量。比较采用卡方检验和多变量logistic回归,比较社会特征eHEALS得分中位数采用Kruskal-Wallis检验。在197名被调查的父母中,24.4% (n=49)的父母被认为是其他种族,37.1% (n=67)的父母被认为是白人,38.6% (n=75)的父母被认为是黑人;47.2% (n=93)为西班牙裔/拉丁裔/拉丁裔。此外,79.7% (n=157)的家长更喜欢英语,20.3% (n=40)的家长更喜欢西班牙语。与说西班牙语的父母(智能手机:23/40,58%;P= 0.03;互联网:27/40,68%;P= 0.002)相比,说英语的父母更有可能为他们的智能手机(117/157,74.5%)或高速互联网(138/157,87.9%)提供数据计划。与说西班牙语的父母相比,说英语的父母不太可能表示对互联网付费(28/ 40,70% vs 83/ 157,52.9%; P= 0.046)或对数据隐私(35/ 40,88% vs 105/157, 67.5%; P= 0.01)有很多或一些担忧。数字素养得分因种族、收入、教育水平和语言而有显著差异。在多变量模型中,语言并不是拥有高速互联网服务(P=.12)或担心在家支付互联网费用(P=.60)的重要因素,但它是担心数据隐私的重要因素(P=.04)。技术相关特征的显著差异表明,数字连接、可负担性和数据隐私也可能是考虑在哮喘护理中使用数字技术的重要因素。
The use of digital technology in pediatric asthma management has emerged as a potential tool for improving asthma management. However, the use of digital tools has the potential to contribute to the inequitable delivery of asthma care because of existing social factors associated with asthma disparities. Our study focused on parents’ chosen language and sociodemographic factors that might shape the use of digital technology in asthma self-management. This study aims to estimate and compare patient, family, and technology-related characteristics by parents’ chosen language (English or Spanish) and compare a digital literacy measure by sociodemographic factors. Survey data were collected from July to December 2021 from parents of children with asthma who were seen by a Chicago pediatric health system pulmonary provider. Questions assessed patient and family characteristics, digital technology use, and digital literacy, measured using the validated eHealth Literacy Scale (eHEALS). Chi-square tests and multivariable logistic regression were used for comparisons, and Kruskal-Wallis tests were used for comparing median eHEALS scores by social characteristics. Of the 197 parents surveyed, 24.4% (n=49) of parents identified as a race categorized as other, 37.1% (n=67) as White, and 38.6% (n=75) as Black; 47.2% (n=93) identified as Hispanic/Latino/Latina. Additionally, 79.7% (n=157) of parents preferred English, and 20.3% (n=40) preferred Spanish. English-speaking parents were more likely to report having a data plan for their smartphone (117/157, 74.5%) or high-speed internet (138/157, 87.9%) compared to Spanish-speaking parents (smartphone: 23/40, 58%; P=.03; internet: 27/40, 68%; P=.002). Compared with Spanish-speaking parents, English-speaking parents were less likely to report having a lot or some concern about paying for internet (28/40, 70% vs 83/157, 52.9%; P=.046) or about data privacy (35/40, 88% vs 105/157, 67.5%; P=.01). Digital literacy scores differed significantly by race, income, education level, and language. In a multivariable model, language was not a significant factor for having high-speed internet service (P=.12) or concern about paying for internet at home (P=.60), but it was a significant factor for concerns about data privacy (P=.04). The significant differences in technology-related characteristics suggest that digital connectivity, affordability, and data privacy may also be important factors in considering digital technology use in asthma care.