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Lay involvement in the analysis of qualitative data in health services research: a descriptive study.

Sara GarfieldS JheetaF HussonA JacklinA BischlerC NortonB D Franklin
Published in: Research involvement and engagement (2016)
Background It is recognised that involving lay people in research in a meaningful rather than tokenistic way is both important and challenging. In this paper, we contribute to this debate by describing our experiences of lay involvement in data analysis.Methods We conducted semi-structured interviews with the lay partners and researchers involved in qualitative data analysis in a wider study of inpatient involvement in medication safety. The interviews were transcribed verbatim and coded using open thematic analysis.Results We interviewed three lay partners and the three researchers involved. These interviews demonstrated that the lay members added value to the analysis by bringing their own perspectives; these were systematically integrated into the analysis by the lead researcher to create a synergistic output. Some challenges arose, including difficulties in recruiting a diverse range of members of the public to carry out the role; however there were generally fewer challenges in data analysis than there had been with our previous experience of lay partners' involvement in data collection.Conclusions Lay members can add value to health services research by being involved in qualitative data analysis.
Keyphrases
  • data analysis
  • mental health
  • healthcare
  • emergency department
  • electronic health record
  • hepatitis c virus
  • big data
  • hiv infected
  • hiv testing
  • drug delivery
  • cancer therapy
  • antiretroviral therapy