一个因数随机对照试验,以优化用户参与与聊天机器人带领的家长干预:协议的家长文本优化试验
Maria Da Graca Ambrosio1, Jamie M Lachman1,2,3, Paula Zinzer1
1University of Oxford, Oxford, United Kingdom.
JMIR research protocols
|May 3, 2024
概括
这项研究测试了ParentText的参与策略,这是一个聊天机器人干预措施,以防止对儿童的暴力 (VAC). 研究结果将优化数字育儿计划,使其在低收入国家具有可扩展性.
科学领域:
- 公共卫生 公共卫生
- 数字健康干预措施 数字健康干预措施
- 儿童保护 儿童保护
背景情况:
- 对儿童的暴力 (VAC) 是一个重大的公共卫生问题,具有持久的后果.
- 基于证据的育儿计划可以预防VAC,但在低收入和中等收入国家面临可扩展性挑战.
- 数字交付,如聊天机器人,提供了一个可扩展的解决方案,但用户参与是有效性的关键.
研究的目的:
- 为ParentText聊天机器人干预确定最佳的参与策略.
- 确定最有效和最具成本效益的组合组件,以防止VAC.
- 为在资源有限的环境中扩大数字育儿计划提供信息.
主要方法:
- 使用2x2因子集群随机对照试验和定性访谈的混合方法设计.
- 在南非姆普马兰加州招募父母和青少年女孩 (10-17岁) (N=3840目标).
- 仅使用ParentText的比较与与亲自会议和/或WhatsApp支持组相结合的比较.
主要成果:
- 该研究招募了1009名参与者,744人完成了聊天机器人登陆.
- 92.96%的参与者是女性,平均年龄为43岁.
- 数据收集发生在2023年8月至11月之间.
结论:
- 这是第一个在低收入或中等收入国家严格评估与聊天机器人主导的家长干预参与的试验.
- 结果将指导ParentText的交付组件的选择.
- 通过随机对照试验进行进一步评估计划于2024年进行.
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