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Clinician experience of being interprofessional: an interpretive phenomenological analysis.

Angela WoodAnne E HillNeil W CottrellAnne-Maree Caine
Published in: Journal of interprofessional care (2024)
Clinicians are increasingly required to work and learn interprofessionally, yet few studies explore the nature of being interprofessional. The purpose of this study was to explore the lived experience of clinicians who identify as interprofessional or have an interprofessional identity. Interpretive phenomenological analysis (IPA) was applied as a qualitative research approach and analytical method. Fifteen key informants from a range of professions, settings, and roles were recruited via purposive sampling. Data was collected via semi-structured interviews, observation of participants' day-to-day practice, and review of organizational documents, and analyzed using IPA. Six interdependent Group Experiential Themes were developed: (i) The power of person-centered holistic care, (ii) Learning and growth through curiosity, reflection, and willingness to be vulnerable, (iii) Welcomes, values, and empowers all others, (iv) Trust and mutual respect through belonging and connection, (v) The contribution of background and previous experiences, and (vi) The influence of workplace context. Each Group Experiential Theme had between two and nine sub-themes. Results support the value of understanding and making explicit the concepts that comprise clinician interprofessional identity. The findings can be used to support clinicians, educators, leaders, and policy makers to develop and sustain interprofessional identity, and subsequently cultivate a culture of interprofessional collaborative practice. Future research is needed to further explore the themes, investigate their inter-relationships, and present the concepts that comprise clinician interprofessional identity in a way that is accessible to healthcare professionals and facilitates their integration into practice.
Keyphrases
  • patient safety
  • healthcare
  • quality improvement
  • palliative care
  • nursing students
  • primary care
  • mental health
  • public health
  • machine learning
  • current status
  • electronic health record
  • chronic pain
  • pain management