@Article{信息:doi 10.2196 / / jmir。7736，作者=“Guendelman, Sylvia and Broderick, Andrew and Mlo, Hmellisa and Gemmill, Alison and Lindeman, David”，标题=“倾听社区:弱势母亲和孕妇参与数字健康技术的混合方法研究”，期刊=“J Med Internet Res”，年=“2017”，月=“7月”，日=“05”，卷=“19”，数=“7”，页=“e240”，关键词=“数字鸿沟;健康信息管理;消费者健康信息;孕妇;背景:美国卫生保健提供者越来越多地要求患者参与数字健康技术，以注册护理，获取个人健康信息，与提供者沟通，并监测自己的健康状况。对于卫生知识普及有限、时间有限或优先事项相互竞争的弱势群体来说，这种参与可能很困难。目的: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主要感知心理动机。方法:我们招募了来自中西部和东西海岸低收入社区的卫生组织的女性。共有92名妇女参加了14个焦点小组。 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. Results: 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. Conclusions: 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. ", issn="1438-8871", doi="10.2196/jmir.7736", url="//www.mybigtv.com/2017/7/e240/", url="https://doi.org/10.2196/jmir.7736", url="http://www.ncbi.nlm.nih.gov/pubmed/28679489" }