一个新的智能手机应用程序,以预防产后抑郁症从一个基于证据的认知行为治疗计划适应:个人最终用户采访,以优化干预的干预
Adam Lewkowitz1,2, Melissa Guillen1, Katrina Ursinobared1
1Warren Alpert Medical School at Brown University, 222 Richmond St, Providence, US.
JMIR human factors
|October 14, 2024
概括
开发基于母亲和婴儿 (MB) 计划的智能手机应用程序MBapp,结合了用户反,以优化其设计以预防产后抑郁症 (PPD). 这项数字干预旨在提高风险人群的可访问性和参与度.
科学领域:
- 数字心理健康干预数字心理健康干预
- 围产期心理健康问题
- 基于证据的程序适应.
背景情况:
- 产后抑郁症 (PPD) 不成比例地影响有未满足社会需求的个人.
- 母亲和婴儿 (MB) 计划是一种认知行为疗法 (CBT) 干预,有效地预防PPD,但由于人员要求,面临可扩展性挑战.
- 一个智能手机应用程序 (app) 提供了一个可扩展的解决方案来提供MB程序.
研究的目的:
- 开发和优化MBapp,一个基于MB程序的新型智能手机应用程序.
- 利用定性最终用户数据来告知应用程序的设计和功能,以实现最佳的参与和适应.
主要方法:
- 在英语和西班牙语中创建了MBapp的线程框架草案,结合了CBT模块和参与功能 (推送通知,多种内容,游戏化).
- 对拥有智能手机,怀孕或分娩后 (32周怀孕至6个月分娩后) 拥有公共医疗保险的人进行了深入采访,但不包括以前或目前患有抑郁症的人.
- 使用演和归纳编码进行定性数据分析,确定了用户的意见,挑战和促进者,从而导致了由修改和适应框架 (FRAME) 分类的线框修改.
主要成果:
- 完成了25次采访,其中48%采访以西班牙语进行,代表了多元化的目标人群.
- 最终用户的反导致添加了诸如音频叙述,"询问临床医生"功能,按需模块摘要和推迟评估的选项等功能.
- 用户对现有的围产/心理健康应用程序的吸引力和不吸引力的特征的洞察力为MBapp的设计提供了信息,以提高覆盖范围,保留率,参与度和适应性.
结论:
- 通过FRAME方法论将最终用户的观点纳入内,优化了MBapp作为数字PPD预防干预措施.
- 预计适应的MBapp将增加对未来用户的吸引力和有效性.
- 接下来的步骤包括确认MBapp在患PPD风险的英语和西班牙语围产期个体中的可行性和可接受性.
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