title: Interpretative phenomenological analysis: a discussion and critique.
abstract: OBJECTIVE
  The aim of this article is to examine the approach of interpretative phenomenological analysis (IPA) and to add to discussions regarding the contribution that the approach can make to healthcare research.
  
  
  BACKGROUND
  Interpretative phenomenological analysis is an approach to qualitative, experiential research that has been gaining in momentum and popularity over the past 10-15 years. The approach has its roots in psychology and recognises the central role of the analyst in understanding the experiences of participants. IPA involves a two-stage interpretation process whereby the researcher attempts to interpret how the participants make sense of their experience.
  
  
  METHODS
  Interpretative phenomenological analysis is discussed and critiqued in relation to other phenomenological approaches; benefits, potential limitations and rigour of studies using the method are explored.
  
  
  METHODS
  This is a methodology discussion that compares and contrasts IPA with other phenomenological approaches.
  
  
  CONCLUSIONS
  Interpretative phenomenological analysis offers an adaptable and accessible approach to phenomenological research intended to give a complete and in-depth account that privileges the individual. It enables nurses to reach, hear and understand the experiences of participants. Findings from IPA studies can influence and contribute to theory.
  
  
  CONCLUSIONS
  Achieving a greater understanding of experiences in health care and illness can improve service provision. It is only by understanding meanings that nurses can influence health behaviour and lifestyles.
authors.affiliation: University of Dundee. j.pringle@dundee.ac.uk
authors.forename: Jan
authors.initials: J
authors.lastname: Pringle
authors.forename: John
authors.initials: J
authors.lastname: Drummond
authors.forename: Ella
authors.initials: E
authors.lastname: McLafferty
authors.forename: Charles
authors.initials: C
authors.lastname: Hendry
mesh_terms: D003627:Data Interpretation, Statistical; D015399:Nursing Research