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[网络爬虫技术在卫生服务研究中的应用:只为网络专家所用,还是每位卫生服务研究人员的工具?!]

[Web scraping applications in health services research: For web experts only, or a tool for every health services researcher?!].

作者信息

Kempny Christian, Brzoska Patrick

机构信息

Hochschule Hamm-Lippstadt, Hamm, Deutschland; Universität Witten/Herdecke, Witten, Deutschland.

Universität Witten/Herdecke, Witten, Deutschland.

出版信息

Z Evid Fortbild Qual Gesundhwes. 2023 Feb;176:61-64. doi: 10.1016/j.zefq.2022.11.010. Epub 2023 Jan 17.

Abstract

Reviewing various care-related data, such as patient satisfaction, can provide valuable information for a health care organization to improve its services. Regular and automatic data collection of internet data can save time and money. This data collection can be performed using web scraping. Web scraping is well-suited for collecting and linking (secondary) data from the internet. In this paper, a low-threshold option for web scraping is illustrated: Web scraping using the commercial software OutWit. This method is also suitable for researchers with no experience in web scraping. Following web scraping, classical statistical methods can be used for quantitative data or qualitative content analysis for qualitative data. Before collecting data using web scraping methods, the legal framework for the individual research project should be clarified. Additionally, ethical considerations should be addressed because the automated extraction of data is not always compatible with the respective data holder's applicable terms of use.

摘要

审查各种与护理相关的数据,如患者满意度,可为医疗保健机构改进其服务提供有价值的信息。定期自动收集互联网数据可节省时间和金钱。这种数据收集可通过网络爬虫来执行。网络爬虫非常适合从互联网收集和链接(二手)数据。本文阐述了一种低门槛的网络爬虫选项:使用商业软件OutWit进行网络爬虫。这种方法也适用于没有网络爬虫经验的研究人员。在进行网络爬虫之后,经典统计方法可用于定量数据,而定性数据则可采用定性内容分析。在使用网络爬虫方法收集数据之前,应明确单个研究项目的法律框架。此外,还应考虑伦理因素,因为自动提取数据并不总是符合各自数据所有者适用的使用条款。

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