University of Texas Health Science Center at Houston, School of Biomedical Informatics, Houston, Texas, USA.
AMIA Annu Symp Proc. 2022 Feb 21;2021:1274-1283. eCollection 2021.
Women of low income and education have lower levels of peripartum depression (PPD) literacy, limiting their ability to recognize symptoms and make informed healthcare decisions. Existing digital solutions and underlying development frameworks for PPD lack an integrative approach addressing health literacy and related disparities. Therefore, we develop an integrative framework for digital content engineering in PPD self-management consisting of (a) user needs analysis, (b) inclusion of eHealth literacy principles (science and health literacy), and (c) mapping user needs to the Behavioral Intervention Technology model. Results revealed that perinatal women seeking mental health care prefer information in multisensory formats, and knowledge needs were identified in areas such as medication management and coping with abnormal results. Results were mapped to eHealth literacy features of whiteboard videos covering essential PPD knowledge, and social media features where patients can articulate information needs. Initial evaluation of proposed features against existing PPD self-management solutions are discussed.
低收入和低教育水平的女性围产期抑郁（PPD）知识水平较低，限制了她们识别症状和做出明智医疗决策的能力。现有的 PPD 数字解决方案和基础开发框架缺乏一种综合方法来解决健康素养和相关差异问题。因此，我们为 PPD 自我管理中的数字内容工程开发了一个综合框架，包括 (a) 用户需求分析，(b) 纳入电子健康素养原则（科学和健康素养），以及 (c) 将用户需求映射到行为干预技术模型。结果表明，寻求心理健康护理的围产期女性更喜欢多感官格式的信息，并且在药物管理和应对异常结果等领域确定了知识需求。结果被映射到涵盖基本 PPD 知识的白板视频的电子健康素养功能，以及患者可以表达信息需求的社交媒体功能。讨论了针对现有 PPD 自我管理解决方案对拟议功能的初步评估。
