中国全科医学 ›› 2019, Vol. 22 ›› Issue (26): 3145-3153.DOI: 10.12114/j.issn.1007-9572.2019.00.535

所属专题: 家庭医学的方法学精华特刊

• 专题研究 • 上一篇    下一篇

家庭医学定性研究的基本原理

Wayne A Babchuk(著)1,2,马兰3,汪洋(译)3,韩建军3,许岩丽3,杨辉(审校)4   

  1. 1.68588 Anthropology,University of Nebraska-Lincoln,Nebraska,USA 2.68588 Educational Psychology,University of Nebraska-Lincoln,Nebraska ,USA 3.100053北京市,中国全科医学杂志社 4.3168 Monash University,Melbourne,Australia
  • 出版日期:2019-09-15 发布日期:2019-09-15

Fundamentals of Qualitative Analysis in Family Medicine 

Wayne A Babchuk (writing)1,2,MA Lan3,WANG Yang(translator)3,HAN Jianjun3,XU Yanli3,YANG Hui(reviser)4   

  1. 1.Anthropology,University of Nebraska-Lincoln,Nebraska 68588,USA
    2.Educational Psychology,University of Nebraska-Lincoln,Nebraska 68588,USA
    3.Publishing House of Journal of Chinese General Practice,Beijing 100053,China
    4.Monash University,Melbourne 3168,Australia
  • Published:2019-09-15 Online:2019-09-15

摘要: 本文的主要目的是为有兴趣进行定性研究的家庭医学研究人员进行定性研究提供做分析的简明的指导。本文结合流行的方法学研究教材中概述的定性研究方法,以少数族裔健康差异研究为示例,概述了全科医学领域的研究人员可应用的定性研究的详细过程。这个研究过程定位于更大的定性研究框架,以适用于新的定性研究设计,使研究的可执行性更强。本文提供了一个用于指导定性数据分析的10步过程,包括:(1)汇总要分析的数据;(2)重新熟悉数据;(3)开始或开启编码步骤;(4)生成类别并为其分配代码;(5)从类别生成主题;(6)验证的策略;(7)解释并报告来自参与者的发现;(8)解释并报告来自文献中的发现;(9)数据和发现的可视化展示;(10)优势、局限性、确定界限和对未来研究的建议。这项工作为新研究人员进行定性数据分析提供了清晰易懂的指导原则,且本原则适用于广泛的主题、学科和环境。

关键词: 家庭医学;全科医学;定性研究;数据分析, 统计;社区参与研究;卫生服务研究;研究方法;基层卫生保健

Abstract: The primary purpose of this article is to provide family physician researchers interested in conducting a qualitative research study a concise guide to the analysis.Drawing from approaches outlined in popular research methodology textbooks and employing an exemplar from a minority health disparities research study,this article outlines specific steps useful for researchers and practitioners in the field of family medicine.This process of qualitative data analysis is situated within the larger framework of qualitative research to better position those new to qualitative designs to more effectively conduct their studies.A 10-step process useful for guiding qualitative data analysis is provided.The 10 steps include(1)assembling data for analysis,(2)refamiliarising oneself with the data,(3)open or initial coding procedures,(4)generating categories and assigning codes to them,(5)generating themes from categories,(6)strategies of validation,(7)interpreting and reporting findings from the participants,(8)interpreting and reporting findings from the literature,(9)visual representations of data and findings,and(10)strengths,limitations,delimitations and suggestions for future research.This work provides clear and accessible guidelines for conducting qualitative data analysis for emerging researchers that is applicable across a wide array of topics,disciplines and settings.

Key words: Family medicine;General practice;Qualitative research;Data analysis, statistical;Community-based participatory research;Health services research;Research methods;Primary health care