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只有焦虑的人吗? 识别症状检查器应用程序用户的特征:一个横截面调查

Anna-Jasmin Wetzel¹, Malte Klemmt², Regina Müller³

¹Institute for General Practice and Interprofessional Care, University Hospital Tübingen, Osianderstr 5, 72076, Tübingen, Germany. jasmin.wetzel@med.uni-tuebingen.de.

BMC medical informatics and decision making

|January 23, 2024

概括

缺口症显著预测症状检查器应用程序 (SCA) 的使用,用户经常表现出这种特征. 然而,患有缺口症的个体可能不会从SCAs中受益,并且可能会经历增加的焦虑.

科学领域:

数字健康数字健康
医疗信息学医疗信息学
医疗决策支持医疗决策支持

背景情况:

症状检查器应用程序 (SCAs) 帮助非专业人士进行症状分类和行动建议.
了解影响SCA采用的用户特征对于优化其实用性至关重要.
需要进一步研究用户特征和数字健康素养对SCA参与的影响.

研究的目的:

在一般人群中确定症状检查器应用程序 (SCA) 使用的关键预测因素.
调查用户人口统计学,电子健康素养,缺血症,自我效能和技术亲和力在SCA使用中的作用.
分析心理因素与使用数字健康工具之间的关系.

主要方法:

对德国公民进行了一项探索性横截面调查.
经过验证的调查问卷评估了人口统计,电子健康素养,缺血症,自我有效性和技术亲和力.
一个匹配的病例控制分析将67名SCA用户与67名非用户从134名参与者的样本中进行比较.

主要成果:

缺口症成为SCA使用的重要和一致的预测因素 (OR: 1.24-1.26).
样本中超过一半的SCA使用者符合阴性二合一症的临床分类.
自我有效性显示不一致和无意义的结果,表明在SCA利用中不清楚的作用.

结论:

缺口症是症状检查器应用程序 (SCA) 使用的强有力的预测因素,表现出这种特征的个人更有可能使用SCAs.
尽管使用量较高,但患有缺口症的个体可能从SCA相互作用中获得的益处较少,并可能经历增加的焦虑.
这些发现强调了在设计和部署像SCAs这样的数字健康工具时,需要仔细考虑用户心理概况.

关键词:

网络心脏是什么? 网络心脏是什么?数字健康数字健康心理健康心理健康患者安全患者安全自我诊断是一种自我诊断.症状检查器症状检查器电子健康电子健康移动健康移动健康移动健康移动健康

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