Locating Medical Information during an Infodemic: Information Seeking Behavior and Strategies of Health-Care Workers in Germany

Author:

Holzmann-Littig Christopher12ORCID,Stadler David1,Popp Maria3,Kranke Peter3ORCID,Fichtner Falk4,Schmaderer Christoph1,Renders Lutz1,Braunisch Matthias Christoph1ORCID,Assali Tarek1ORCID,Platen Louise1,Wijnen-Meijer Marjo2,Lühnen Julia56,Steckelberg Anke5,Pfadenhauer Lisa78,Haller Bernhard9ORCID,Fuetterer Cornelia9,Seeber Christian4ORCID,Schaaf Christian1,

Affiliation:

1. Department of Nephrology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany

2. TUM Medical Education Center, School of Medicine, Technical University of Munich, 81675 Munich, Germany

3. Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, 97080 Wuerzburg, Germany

4. Faculty of Medicine, Clinic and Polyclinic for Anesthesiology and Intensive Care, University of Leipzig, 04103 Leipzig, Germany

5. Institute for Health and Nursing Science, Medical Faculty, Martin Luther University Halle-Wittenberg, 06112 Halle (Saale), Germany

6. Clinic for Internal Medicine I, Martin Luther University Halle-Wittenberg, 06112 Halle (Saale), Germany

7. Institute for Medical Information Processing, Biometry and Epidemiology—IBE, Chair of Public Health and Health Services Research, LMU Munich, 81377 Munich, Germany

8. Pettenkofer School of Public Health, 81377 Munich, Germany

9. Institute of AI and Informatics in Medicine, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany

Abstract

Background: The COVID-19 pandemic has led to a flood of—often contradictory—evidence. HCWs had to develop strategies to locate information that supported their work. We investigated the information-seeking of different HCW groups in Germany. Methods: In December 2020, we conducted online surveys on COVID-19 information sources, strategies, assigned trustworthiness, and barriers—and in February 2021, on COVID-19 vaccination information sources. Results were analyzed descriptively; group comparisons were performed using χ2-tests. Results: For general COVID-19-related medical information (413 participants), non-physicians most often selected official websites (57%), TV (57%), and e-mail/newsletters (46%) as preferred information sources—physicians chose official websites (63%), e-mail/newsletters (56%), and professional journals (55%). Non-physician HCWs used Facebook/YouTube more frequently. The main barriers were insufficient time and access issues. Non-physicians chose abstracts (66%), videos (45%), and webinars (40%) as preferred information strategy; physicians: overviews with algorithms (66%), abstracts (62%), webinars (48%). Information seeking on COVID-19 vaccination (2700 participants) was quite similar, however, with newspapers being more often used by non-physicians (63%) vs. physician HCWs (70%). Conclusion: Non-physician HCWs more often consulted public information sources. Employers/institutions should ensure the supply of professional, targeted COVID-19 information for different HCW groups.

Funder

Network of University Medicine (Nationales Forschungsnetzwerk der Universitätsmedizin

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3