一个基于网络的干预措施,以解决母亲发病率和死亡率的风险因素 (MAMA LOVE):开发和评估研究
Alexis Dunn Amore1, Abby Britt1, Santiago J Arconada Alvarez2
1Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, United States.
孕产妇死亡率是一个危机. MAMA LOVE网络工具有助于识别孕产妇发病和死亡风险因素,为医疗保健专业人员提供重要的教育和资源.
科学领域:
- 公共卫生 公共卫生
- 孕产妇健康 孕产妇健康
- 数字健康工具 数字健康工具
背景情况:
- 美国的孕产妇死亡率是一个关键的公共卫生问题,由于对危及生命的症状和治疗的延迟认知而加剧.
- 迫切需要有效的策略,特别是针对黑人分娩种群.
- 发病率和死亡率评估:通过教育提升结果 (MAMA LOVE) 是一个基于网络的平台,旨在识别孕产妇发病率和死亡率的风险因素.
研究的目的:
- 介绍 MAMA LOVE 基于网络的工具的概念化,开发和评估.
- 引入一个新的风险评估和母亲健康教育平台.
主要方法:
- 以用户为中心的设计方法结合了临床专家和最终用户的反.
- 进行了启发式评估,以评估可用性和市场需求.
- 针对临床,心理健康和社会状况的算法被开发并使用Miro,Figma和SurveyJS集成到工具的设计中.
主要成果:
- MAMA LOVE工具的开发涉及三个阶段:内容创建,原型反,以及最终工具设计/测试.
- 一个启发式评估在初始原型中发现了38个问题.
- 该工具使用开发的算法指导用户采取适当的行动.
结论:
- 孕产妇的发病率和死亡率需要立即,有效的干预措施.
- 识别孕产妇风险因素的数字资源很少.
- MAMA LOVE通过增强知识和促进医疗保健专业人员之间的信息共享来弥补这一差距.
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