用一个概念和分析框架测量参与提供者指导的数字健康干预,以护士写作为例:采用代方法的探索性研究
Yan Wang1, Annette DeVito Dabbs2, Teresa Hagan Thomas3
1Department of Health & Community Systems, School of Nursing, University of Pittsburgh, Pittsburgh, PA, United States.
JMIR formative research
|July 22, 2024
概括
这项研究提出了衡量参与者参与数字健康干预的新框架. 该框架评估了社会情感,认知和行为参与,揭示了用户之间的显著差异.
科学领域:
- 数字健康干预措施 数字健康干预措施
- 行为科学 行为科学
- 瘤科 护理 护理专业
背景情况:
- 对于分析参与者参与提供者指导的数字健康干预 (DHI) 的指导是有限的.
- 通常评估的系统使用在衡量社会情感和认知参与方面的局限性.
- 护士WRITE DHI提供了一个开发多维参与评估框架的机会.
研究的目的:
- 开发一个概念和分析框架,用于测量社会情感,认知和行为参与提供者引导的DHI.
- 用护士WRITE干预作为案例研究来说明框架在描述和分类参与方面的实用性.
主要方法:
- 在三个维度中调整了先前的参与框架,最终确定了六个不同的措施.
- 从参与者的帖子中开发了社会情感 (帖子数,字数) 和认知 (问题数,完成率) 参与度的措施.
- 利用网站数据进行行为参与措施 (护理计划,评论) 和k-Means集群,根据参与水平对参与者进行分类.
主要成果:
- 根据六项措施,参与者被分为高 (n=13),中等 (n=17) 和低 (n=38) 的参与群体.
- 与中等和低参与者相比,高参与者表现出明显更高的社会情感和认知参与率和计划完成率.
- 社会情感参与平均为34.7次,共14851个单词;认知参与平均为19.4次,调查完成率为78.3%.
结论:
- 开发并报告了参与框架,以指导行为干预科学家分析参与者参与提供者指导的DHI.
- 在社会情感,认知和行为方面参与的显著差异强调了多维评估的重要性.
- 未来的研究应该验证跨多种DHIs的框架,并探索影响参与和干预有效性的患者/提供者因素.
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