Guendelman Sylvia, Broderick Andrew, Mlo Hmellisa, Gemmill Alison, Lindeman David
Maternal and Child Health, School of Public Health, University of California, Berkeley, Berkeley, CA, United States.
Center for Innovation and Technology in Public Health, Public Health Institute, Oakland, CA, United States.
J Med Internet Res. 2017 Jul 5;19(7):e240. doi: 10.2196/jmir.7736.
US health care providers are increasingly demanding patient engagement with digital health technologies to enroll in care, access personal health information, communicate with providers, and monitor their own health. Such engagement may be difficult for disadvantaged populations who may have limited health literacy, time constraints, or competing priorities.
We aimed to understand the extent of adoption and use of digital health tools and to identify key perceived psychological motivators of technology use among disadvantaged first-time pregnant women and mothers of young children.
We recruited women from health organizations serving low-income communities in the Midwest and on the East and West coasts. A total of 92 women participated in 14 focus groups. During each session, we administered worksheets that measured 3 utilization outcomes: the number of recent Web-based health-seeking activities, current use of digital health-management practices (eg, accessing personal health information, communicating with providers, and scheduling appointments), and potential adoption of digital health-management tools among low users or nonusers. Responses to the worksheets and to a pre-focus group survey on demographics, technology access, and motivators of use were examined to create user profiles. Separate regression models identified the motivators (eHealth literacy, internal health orientation, and trust in digital information) associated with these outcomes. Qualitative data were incorporated to illustrate the worksheet responses.
Whereas 97% of the participants reported that they had searched for health information on the Internet in the past year, 42% did not engage in digital health-management practices. Among the low users and nonusers, 49% expressed interest in future adoption of digital health tools. Web-based health information-seeking activities were associated with digital health-management practices (P<.001). When controlling for covariates, eHealth literacy was positively correlated with the number of Web-based health-seeking activities (beta=.03, 95% CI 0.00-0.07). However, an internal health orientation was a much stronger correlate of digital health-management practices (beta=.13, 95% CI 0.02-0.24), whereas trust in digital information increased the odds of potential adoption (vs no adoption) in adjusted models (OR 5.21, 95% CI 0.84-32.53). Demographic characteristics were not important drivers of digital health use and few differences distinguished use among mothers and pregnant women.
Seeking health information on the Internet may be an important gateway toward engaging in digital health-management practices. Notably, different consumer motivators influence digital health tool use. The relative contributions of each must be explored to design tools and interventions that enhance competencies for the management of self and child health among disadvantaged mothers and pregnant women. Unless we address disparities in digital health tool use, benefits from their use will accrue predominantly to individuals with the resources and skills to use technology effectively.
美国医疗服务提供者越来越要求患者参与数字健康技术,以登记接受治疗、获取个人健康信息、与医疗服务提供者沟通并监测自身健康。对于健康素养有限、时间受限或有其他优先事项的弱势群体而言,这种参与可能会很困难。
我们旨在了解数字健康工具的采用和使用程度,并确定弱势首次怀孕妇女和幼儿母亲使用技术的关键感知心理动机。
我们从服务于中西部以及东西海岸低收入社区的健康组织中招募女性。共有92名女性参加了14个焦点小组。在每次会议期间,我们发放了工作表,用以衡量3个使用结果:近期基于网络的健康寻求活动的数量、数字健康管理实践的当前使用情况(例如,获取个人健康信息、与医疗服务提供者沟通以及预约),以及低使用者或非使用者中数字健康管理工具的潜在采用情况。对工作表的回答以及焦点小组前关于人口统计学、技术获取和使用动机的调查结果进行了分析,以创建用户档案。单独的回归模型确定了与这些结果相关的动机(电子健康素养、内在健康导向以及对数字信息的信任)。纳入定性数据以说明工作表的回答。
虽然97%的参与者报告称他们在过去一年中在互联网上搜索过健康信息,但42%的人未参与数字健康管理实践。在低使用者和非使用者中,49%的人表示有兴趣在未来采用数字健康工具。基于网络的健康信息寻求活动与数字健康管理实践相关(P<0.001)。在控制协变量时,电子健康素养与基于网络的健康寻求活动数量呈正相关(β=0.03,95%CI 0.00 - 0.07)。然而,内在健康导向与数字健康管理实践的相关性更强(β=0.13,95%CI 0.02 - 0.24),而在调整模型中,对数字信息的信任增加了潜在采用(相对于未采用)的几率(OR 5.21,9%CI 0.84 - 32.53)。人口统计学特征不是数字健康使用的重要驱动因素,母亲和孕妇在使用方面几乎没有差异。
在互联网上搜索健康信息可能是参与数字健康管理实践的重要途径。值得注意的是,不同的消费者动机影响数字健康工具的使用。必须探索每种动机的相对贡献,以设计工具和干预措施,增强弱势母亲和孕妇管理自身及儿童健康的能力。除非我们解决数字健康工具使用方面的差异,否则其使用带来的益处将主要惠及有资源和技能有效使用技术的个人。