Moilanen Tanja, Sivonen Mari, Hipp Kirsi, Kallio Hanna, Papinaho Oili, Stolt Minna, Turjamaa Riitta, Häggman-Laitila Arja, Kangasniemi Mari
University of Turku, Finland.
Karelia University of Applied Sciences, Joensuu, Finland.
Glob Qual Nurs Res. 2022 Jul 7;9:23333936221108706. doi: 10.1177/23333936221108706. eCollection 2022 Jan-Dec.
Healthcare provides a rich, and constantly increasing, number of written documents, which are underutilized in research data for health and nursing sciences, but previous literature has only provided limited guidance on the process of document analysis. The aim of this paper is to provide a methodological framework for analyzing health care documents as written data, based on a systematic methodological review and the research team's experience of the method. Based on the results, the methods consist of seven phases: (i) identify the purpose, (ii) determine the document selection strategy, (iii) select or design an extraction matrix, (iv) carry out pilot testing, (v) collect and analyze the data, (vi) consider the credibility, and (vii) ethics of the study. The framework that has been developed can be used to carry out document analysis studies that are both feasible and credible.
医疗保健领域产生了大量且数量不断增加的书面文件,这些文件在健康与护理科学研究数据中未得到充分利用,但以往的文献仅对文件分析过程提供了有限的指导。本文旨在基于系统的方法学综述以及研究团队的方法经验,提供一个将医疗保健文件作为书面数据进行分析的方法框架。基于研究结果,这些方法包括七个阶段:(i)确定目的,(ii)确定文件选择策略,(iii)选择或设计提取矩阵,(iv)进行预测试,(v)收集和分析数据,(vi)考虑研究的可信度,以及(vii)研究的伦理问题。所开发的框架可用于开展既可行又可信的文件分析研究。