Analyzing longitudinal qualitative data: the application of trajectory and recurrent cross-sectional approaches.
Analyzing longitudinal qualitative data: the application of trajectory and recurrent cross-sectional approaches.
复制标题
DOI：
10.1186/s13104-016-1954-1
复制
发表时间：
2016-03-02
影响因子：
1.8
通讯作者：
Lipstein, Ellen
中科院分区：
文献类型：
--
作者：
Grossoehme, Daniel;Lipstein, Ellen
背景：纵向定性研究方法可以增加卫生保健研究的深度和理解，特别是在慢性病、坚持和不断变化的卫生政策等主题上。在这篇手稿中，我们描述了何时以及如何采用两种不同的应用方法来分析纵向定性数据：递归横断面方法和轨迹方法。结果：当主要兴趣是比较两个时间点时，例如政策变化之前和之后，或者当一个队列无法维持时，例如一些参与者预计会死亡的研究，递归横截面方法最合适。相反，当研究的目的是了解个人随着时间的推移的经历或了解纵向医疗过程时，轨迹方法最合适。结论：纵向定性研究有可能成为理解医疗保健的复杂性的有效方法：从提供者和患者之间的关系，到慢性病的经历，再到医疗政策的影响。通过仔细考虑手头的研究问题，然后应用适当的分析方法，将加强这种研究。
BACKGROUND: Longitudinal qualitative research methods can add depth and understanding to health care research, especially on topics such as chronic conditions, adherence and changing health policies. In this manuscript we describe when and how to undertake two different applied approaches to analyzing longitudinal qualitative data: a recurrent cross-sectional approach and a trajectory approach.RESULTS: A recurrent cross-sectional approach is most appropriate when the primary interest is comparing two time points, such as before and after a policy change, or when a cohort cannot be maintained, such as a study in which some participants are expected to die. In contrast, a trajectory approach is most appropriate when the purpose of the research is to understand individuals' experiences over time or to understand longitudinal healthcare processes.CONCLUSIONS: Longitudinal qualitative research has the potential to be a powerful approach to understanding the complexities of health care: from relationships between providers and patients, to the experience of chronic disease, to the impact of health policy. Such research will be strengthened by careful consideration of the research question at hand, followed by application of the appropriate analytic approach.