使用以人为本的方法来开发针对怀孕期间饮食和体育活动的数字干预:发展研究研究
Alexandra Rhodes1, Arya Pimprikar1, Alison Baum2
1Research Department of Behavioural Science and Health, Institute of Epidemiology and Healthcare, University College London, London, United Kingdom.
JMIR formative research
|May 26, 2023
概括
这项研究在Baby Buddy应用程序中开发了一种基于理论的数字干预,以促进怀孕期间的健康饮食和体力活动 (PA). 用户反确保了干预对准父母来说具有吸引力和用户友好.
科学领域:
- 数字健康干预措施 数字健康干预措施
- 行为变化理论
- 孕产妇健康 孕产妇健康
背景情况:
- 在怀孕期间,健康的饮食和体育活动 (PA) 改善了母亲和胎儿的结果.
- 数字干预提供了一种具有成本效益和可访问的方法来改变行为.
- 宝贝朋友应用程序是英国广泛使用的支持父母的平台.
研究的目的:
- 在Baby Buddy应用程序中开发基于理论的干预.
- 授权未来的父母采用更健康的饮食和PA习惯.
- 在怀孕和育儿期间支持健康的行为.
主要方法:
- 利用行为变化轮和基于人的干预设计方法.
- 在怀孕和最近怀孕的父母身上进行了三阶段的定性研究.
- 整合了用户,患者参与和专家贡献者的代反.
主要成果:
- 证实了干预概念的吸引力和相关性,包括合作伙伴参与.
- 基于代反的精细干预设计,确保对多元化受众的相关性.
- 识别并解决功能,内容和设计问题,以增强用户体验.
结论:
- 将理论方法与基于人的方法结合起来,可以产生用户友好和引人入胜的干预措施.
- 开发的干预方法是基于理论的,用户友好的,有吸引力的和有吸引力的.
- 需要进行进一步的研究,以评估干预对饮食,PA和体重管理的有效性.
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