优化一款新型智能手机应用程序以预防产后抑郁症 改编自基于证据的认知行为治疗计划:定性研究
Adam K Lewkowitz1,2, Melissa Guillen1, Katrina Ursino1
1Department of Obstetrics and Gynecology, Warren Alpert Medical School at Brown University, 222 Richmond Street, Providence, RI, United States, 1 4012741122.
JMIR human factors
|December 9, 2024
概括
这项研究适应了数字干预,以预防低收入孕妇产后抑郁症 (PPD). 用户反增强了应用程序,优化其功能,以获得更好的覆盖范围和参与度.
科学领域:
- 数字健康数字健康
- 心理健康干预 心理健康干预
- 围产期护理 围产期护理
背景情况:
- 低收入的孕妇面临高产后抑郁症 (PPD) 风险.
- 母亲和婴儿 (MB) 计划是一种认知行为疗法干预,有效地预防PPD,但需要训练有素的人员.
- 一个智能手机应用程序 (MBapp) 旨在克服MB程序的人员限制.
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.
- 结合最终用户的定性反来增强应用程序的设计和功能.
主要方法:
- 为MBapp开发了英语和西班牙语的线框,结合了基于证据的参与功能.
- 进行了25次深入采访,对拥有智能手机的孕妇 (32周怀孕至产后6个月) 进行了深入采访,没有先前的抑郁症.
- 使用演和归纳编码分析了采访数据,使用FRAME方法对适应进行了分类.
主要成果:
- 完成了25次采访,其中48%采访以西班牙语进行,反映了各种各样的最终用户代表.
- 最终用户的反导致了显著的线框修改,包括添加音频叙述和"询问临床医生"功能.
- 调整的重点是优化内容和上下文,以提高MBapp的覆盖范围,保留,参与度和适合用户.
结论:
- 结合最终用户的观点优化了数字PPD预防干预 (MBapp),提高了其潜在的吸引力.
- 未来的研究将评估MBapp在危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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