Research made simple: using multiperspective interpretative phenomenological analysis to explore healthcare phenomena

W. McInally, Carol Gray-Brunton
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引用次数: 4

Abstract

10.1136/ebnurs-2021-103428 Using interpretative phenomenological analysis to explore multiperspectives Interpretative phenomenological analysis (IPA) was originally developed in 1995 by Johnathan Smith as a method to undertake experiential research in psychology and has gained prominence across health and social sciences as a way to understand and interpret topics that are complex and emotionally laden, such as chronic illness experiences. 2 IPA aims to uncover what a lived experience means to the individual through a process of indepth reflective inquiry. The IPA draws on phenomenological thinking, with the purpose to return ‘to the things themselves’ (p168). However, IPA also acknowledges that we are each influenced by the worlds in which we live and the experiences we encounter. Therefore, IPA is an interpretative process between the researcher and researched, influenced predominantly by Heidegger’s interpretive phenomenology, hermeneutics and idiography. Within IPA, it is typical for researchers to select a small homogenous sample to explore the shared perspectives on a single phenomenon of interest. Within IPA studies, the focus has been on individual people living within diverse settings and populations such as chronic or longterm illnesses. The focus is on understandings of rich, lived experiences, and, given the small samples, IPA studies have typically not focused on those connected to the person living with diversity or disease. Recently, there has been an interest within IPA to suggest the value of capturing more complex data through multiple perspectives using designs and processes to address this shortcoming in IPA. This may involve the use of multiple participants and a range of data collection methods such as the use of dyads or focus groups. The aim of this paper is to explore the utility of IPA approaches using multiperspectives through focusing on a specific case study to illustrate this approach.
研究简单:使用多视角解释现象学分析来探索医疗保健现象
解释性现象学分析(IPA)最初是由乔纳森·史密斯(Johnathan Smith)于1995年开发的,作为一种进行心理学经验研究的方法,作为一种理解和解释复杂且充满情感的主题(如慢性疾病经历)的方法,在健康和社会科学中获得了突出地位。IPA旨在通过深度反思探究的过程揭示生活经验对个人的意义。IPA利用现象学思维,目的是回归“事物本身”(p168)。然而,国际摄影协会也承认,我们每个人都受到我们生活的世界和我们遇到的经历的影响。因此,IPA是研究者与被研究者之间的解释性过程,主要受到海德格尔解释性现象学、解释学和具象学的影响。在IPA中,研究人员通常选择一个小的同质样本来探索对一个感兴趣的单一现象的共同观点。在IPA的研究中,重点是生活在不同环境和人群中的个人,如慢性或长期疾病。重点是对丰富的生活经历的理解,而且,由于样本小,IPA的研究通常不会关注那些与多样性或疾病有关的人。最近,IPA内部出现了一种兴趣,建议通过使用设计和流程的多角度捕获更复杂的数据,以解决IPA中的这一缺点。这可能涉及使用多个参与者和一系列数据收集方法,例如使用双组或焦点小组。本文的目的是通过一个具体的案例研究来说明这种方法,从多个角度探讨IPA方法的效用。
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