The Big Data Awareness of Turkish Neurosurgeons: A National Survey

F. Yakar, E. Egemen, E. Çeltikçi, Ş. Hanalioğlu, B. Bakırarar, Ü. A. Dere, Yücel Doğruel, Abuzer Güngör
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Abstract

Objective: The term big data refers to high volumes of data that are difficult to store, process, and analyze through traditional database technologies. This paper aims to discover the big data knowledge and awareness of Turkish neurosurgeons. Methods: An online survey link was sent to all members of the Turkish Neurosurgical Society (n=1707 neurosurgeons) by e-mail. The survey, which was available during September and October 2021, was filled by 211 specialists (12.4%) neurosurgeons. Participants were scored based on the questions asked in “Big Data” and the scores were compared with baseline characteristics.There was no statistically significant correlation between baseline characteristics (age, gender, the residency/current institution, academic title, the presence of a Ph.D. degree, and professional specialist period) and survey score. The survey scores of the participants who used a big data platform, wrote code, thought that the use of big data was beneficial, and wanted to learn more about this subject were statistically significantly higher. Conclusions: Obtaining information about big data seems to be related only to personal interests. Necessary arrangements should be made in the training programs of neurosurgeons on this topic, which is gaining in popularity and provides useful information for daily clinical practice.
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土耳其神经外科医生的大数据意识:一项全国性调查
目的:大数据是指传统数据库技术难以存储、处理和分析的大量数据。本文旨在发现土耳其神经外科医生的大数据知识和意识。方法:将在线调查链接通过电子邮件发送给土耳其神经外科学会所有会员(n=1707名神经外科医生)。该调查于2021年9月至10月进行,共有211名专家(12.4%)参与了调查。参与者根据“大数据”中提出的问题进行评分,并将得分与基线特征进行比较。基线特征(年龄、性别、居住地/当前机构、学术头衔、是否拥有博士学位和专业专科时间)与调查得分之间没有统计学上的显著相关性。使用大数据平台、编写代码、认为使用大数据有益、希望进一步了解该主题的参与者的调查得分在统计学上显著较高。结论:获取大数据信息似乎只与个人利益相关。在神经外科医生的培训计划中应作出必要的安排,这一主题越来越受欢迎,并为日常临床实践提供有用的信息。
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