Rocque Gabrielle B, Henderson Nicole L, Hildreth Keyonsis, Eltoum Noon, Whitlow Omari, Herring Loretta, Ingram Stacey, Chu Daniel I, Shao Connie C, Hardy Claudia, Nolan Timiya S, McGowan Chelsea, Pierce Jennifer Young, Williams Courtney P
University of Alabama at Birmingham, Department of Medicine, Division of Hematology and Oncology, Birmingham, AL, USA.
O'Neal Comprehensive Cancer Center; Birmingham, AL, USA.
Digit Health. 2025 Mar 28;11:20552076251325581. doi: 10.1177/20552076251325581. eCollection 2025 Jan-Dec.
Given increasing technology reliance, there is a need for a deeper understanding of individual and community-level comfort with technology as it pertains to basic and more complex healthcare-related skills.
The objective of this quasi-experimental study was to engage participants in conversations about digital health literacy to facilitate awareness and to compare digital health literacy for community members, healthcare providers, non-clinical navigators, and community health advisors and county coordinators (henceforth referred to as CHAs) in the Deep South (AL, MS, FL). Interactive community conversations on digital health literacy were given in community (n = 16) and clinical (n = 5) settings. Participants completed pre- and post- surveys assessing personal comfort performing technological tasks on a 5-point scale. Mixed models estimated both within- and between-role changes in self-reported comfort.
Of 248 participants, 56% were community members, 18% healthcare providers, 17% CHAs, and 8% non-clinical navigators. Community members had the lowest personal comfort performing every task assessed (all p < .05). In the pre-test, the largest differences in reported personal comfort performing tasks were seen for basic skills including scanning QR codes (mean comfort score: community members 2.7 [SD 1.5] vs. non-clinical navigator 4.5 [1.0], p < .001) and sharing a website (mean comfort score: community members 2.9 [SD 1.6] vs. non-clinical navigator 4.5 [1.0], p < .001). Pre- vs. post-community conversation, community members experienced significant increases in their personal comfort scanning QR codes (β=0.8, 95% CI 0.5-1.0), creating an online account (general use) (β=0.4, 95% CI 0.2-0.6), and using a smartphone (β=0.3, 95% CI 0.1-0.5).
As technological advances continue to be implemented, gaps in digital health literacy must be addressed. Non-clinical navigators may play a future role in teaching patients technology skills.
鉴于对技术的依赖日益增加，有必要更深入地了解个人和社区层面在与基础及更复杂的医疗保健相关技能有关的技术方面的舒适度。
这项准实验研究的目的是让参与者参与有关数字健康素养的对话，以促进认识，并比较美国南部腹地（阿拉巴马州、密西西比州、佛罗里达州）的社区成员、医疗保健提供者、非临床导航员、社区健康顾问以及县协调员（以下简称CHA）的数字健康素养。在社区（n = 16）和临床（n = 5）环境中进行了关于数字健康素养的互动式社区对话。参与者完成了前后调查，以5分制评估他们在执行技术任务时的个人舒适度。混合模型估计了自我报告舒适度在角色内和角色间的变化。
在248名参与者中，56%是社区成员，18%是医疗保健提供者，17%是CHA，8%是非临床导航员。在评估的每项任务中，社区成员的个人舒适度最低（所有p < 0.05）。在预测试中，在执行任务的报告个人舒适度方面，最大的差异出现在基础技能上，包括扫描二维码（平均舒适度得分：社区成员2.7 [标准差1.5] 与非临床导航员4.5 [1.0]，p < 0.001）和分享网站（平均舒适度得分：社区成员2.9 [标准差1.6] 与非临床导航员4.5 [1.0]，p < 0.001）。社区对话前后，社区成员在扫描二维码（β = 0.8，95%置信区间0.5 - 1.0）、创建在线账户（一般用途）（β = 0.4，95%置信区间0.2 - 0.6）和使用智能手机（β = 0.3，95%置信区间0.1 - 0.5）方面的个人舒适度有显著提高。
随着技术进步不断得到应用，数字健康素养方面的差距必须得到解决。非临床导航员未来可能在教授患者技术技能方面发挥作用。
