一个基于健康的移动减酒干预措施及其在乌干达的人类免疫缺陷病毒患者中的可用性
Julian Adong1, Robin Fatch2, Naomi Sanyu3
1Department of Pediatrics and Child Health, Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda.
mHealth
|November 10, 2025
概括
移动健康 (mHealth) 干预措施可以改善撒哈拉以南非洲艾滋病毒感染者 (PWH) 的酒精减少. 高度的可用性和识字能力是成功采用这些可访问的,基于技术的助推会话的关键.
科学领域:
- 公共卫生 公共卫生
- 数字健康数字健康
- 艾滋病毒/艾滋病研究研究
背景情况:
- 撒哈拉以南非洲地区面临高艾滋病毒和酒精使用率,影响艾滋病毒治疗的连续性.
- 减少艾滋病毒感染者 (PWH) 饮酒量是公共卫生优先事项.
- 移动健康 (mHealth) 干预提供了面对面咨询的可访问替代方案,特别是在具有挑战性的时期.
研究的目的:
- 为了评估一个mHealth干预 (自动增强会话) 的可用性,增强面对面的酒精减酒咨询.
- 为了检查可用性和助推干预在PWH中与不健康的酒精使用之间的关联.
主要方法:
- 在技术助推研究组中分析PWH的数据,接受IVR或SMS助推器增强的面对面咨询.
- 在6个月时使用系统可用性量表 (SUS) 评估可用性.
- 助推干预的吸收被定义为成功的PIN输入;使用多变量线性回归分析.
主要成果:
- 辅助干预的平均吸收率为73%,中位数SUS得分为90,表明可用性很高.
- 无论是SUS分数还是读写能力都与增加的辅助干预量有显著的关联.
- 调整后的分析显示可用性 (β=0.65,P=0.04) 和识字性 (β=21.33,P=0.01) 预测了吸收.
结论:
- 移动健康干预措施的可用性与PWH中增强的增强疗程吸收密切相关.
- 识字水平也是干预措施采用的重要预测因素.
- 了解可用性和识字能力对于预测和优化在不同人群中的移动健康干预成功至关重要.
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