BMJ Open Quality (Nov 2023)

Examining adaptive models of care implemented in hospital ICUs during the COVID-19 pandemic: a qualitative study

  • Jane Merkley,
  • Linda Johnston,
  • Ru Taggar,
  • Linda McGillis Hall,
  • Vanessa Reali,
  • Sonya Canzian,
  • Carol Hatcher,
  • Kathryn Hayward-Murray,
  • Mikki Layton,
  • Joy Richards,
  • Susan Woollard

DOI
https://doi.org/10.1136/bmjoq-2023-002353
Journal volume & issue
Vol. 12, no. 4

Abstract

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Background The emergence of the COVID-19 pandemic led to an increased demand for hospital beds, which in turn led to unique changes to both the organisation and delivery of patient care, including the adoption of adaptive models of care. Our objective was to understand staff perspectives on adaptive models of care employed in intensive care units (ICUs) during the pandemic.Methods We interviewed 77 participants representing direct care staff (registered nurses) and members of the nursing management team (nurse managers, clinical educators and nurse practitioners) from 12 different ICUs. Thematic analysis was used to code and analyse the data.Results Our findings highlight effective elements of adaptive models of care, including appreciation for redeployed staff, organising aspects of team-based models and ICU culture. Challenges experienced with the pandemic models of care were heightened workload, the influence of experience, the disparity between model and practice and missed care. Finally, debriefing, advanced planning and preparation, the redeployment process and management support and communication were important areas to consider in implementing future adaptive care models.Conclusion The implementation of adaptive models of care in ICUs during the COVID-19 pandemic provided a rapid solution for staffing during the surge in critical care patients. Findings from this study highlight some of the challenges of implementing redeployment as a staffing strategy, including how role clarity and accountability can influence the adoption of care delivery models, lead to workarounds and contribute to adverse patient and nurse outcomes.