Suppr超能文献

新冠疫情之前及期间的电子健康:抑郁症状学是否会影响冠心病患者、医护专业学生及专业人员的态度?

eHEALTH BEFORE AND DURING COVID-19: DOES DEPRESSIVE SYMPTOMATOLOGY INFLUENCE ATTITUDES OF CAD PATIENTS, HEALTHCARE STUDENTS AND PROFESSIONALS?

作者信息

Giannouli Vaitsa

机构信息

School of Psychology, University of Western Macedonia, Greece.

出版信息

Psychiatr Danub. 2023 Summer;35(2):245-249. doi: 10.24869/psyd.2023.245.

Abstract

BACKGROUND

This study aims to clarify CAD patients' attitudes towards telemedicine-and-telecare before and after the pandemic and to compare views with those of healthcare students and professionals (doctors), while taking into consideration the influence of depressive symptomatology.

METHODS

All participants completed a modified version of the Information Technology Attitude Scales for Health (ITASH), the Center for Epidemiologic Studies Depression Scale-CES-D and a demographics questionnaire.

RESULTS

All three groups showed statistically significant more positive views towards eHealth in the retest condition on all questions. CAD patients held the least positive views compared to healthcare students and professionals in both time points. The majority of the participants from all three groups reported that since their initial examination they still lacked educational experience regarding eHealth. Depressive symptomatology was found not to have an influence on eHealth reports.

CONCLUSIONS

eHealth plays an important role both in prevention, treatment and care, but attitudes may act as an obstacle in using them. Future research should further investigate in more depth the complex influence of additional sociocultural and/or psychological factors for the reported differences.

摘要

背景

本研究旨在阐明冠心病患者在疫情前后对远程医疗和远程护理的态度,并将其观点与医学生和医疗专业人员(医生)的观点进行比较,同时考虑抑郁症状的影响。

方法

所有参与者均完成了一份修改版的健康信息技术态度量表(ITASH)、流行病学研究中心抑郁量表(CES-D)和一份人口统计学调查问卷。

结果

在所有问题的重测中,三组对电子健康的看法在统计学上均显示出更积极的态度。在两个时间点上,冠心病患者的积极看法都比医学生和医疗专业人员少。来自三组的大多数参与者报告说,自初次检查以来,他们仍然缺乏关于电子健康的教育经历。研究发现,抑郁症状对电子健康报告没有影响。

结论

电子健康在预防、治疗和护理中都起着重要作用,但态度可能会成为使用它们的障碍。未来的研究应进一步深入调查其他社会文化和/或心理因素对所报告差异的复杂影响。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验