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

COVID-19 Duty Hours/Work hours Nurses Teamwork

Journal

BMJ open quality
ISSN: 2399-6641
Titre abrégé: BMJ Open Qual
Pays: England
ID NLM: 101710381

Informations de publication

Date de publication:
21 Dec 2023
Historique:
received: 21 03 2023
accepted: 06 12 2023
medline: 23 12 2023
pubmed: 23 12 2023
entrez: 22 12 2023
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

BACKGROUND 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 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 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 CONCLUSIONS
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.

Identifiants

pubmed: 38135301
pii: bmjoq-2023-002353
doi: 10.1136/bmjoq-2023-002353
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Linda McGillis Hall (L)

Nursing, University of Toronto, Toronto, Ontario, Canada l.mcgillishall@utoronto.ca.

Vanessa Reali (V)

Nursing, University of Toronto, Toronto, Ontario, Canada.

Sonya Canzian (S)

Unity Health Toronto, Toronto, Ontario, Canada.

Linda Johnston (L)

Nursing, University of Toronto, Toronto, Ontario, Canada.

Carol Hatcher (C)

Humber River Hospital, Toronto, Ontario, Canada.

Kathryn Hayward-Murray (K)

Trillium Health Partners, Mississauga, Ontario, Canada.

Mikki Layton (M)

Toronto East Health Network Michael Garron Hospital, Toronto, Ontario, Canada.

Jane Merkley (J)

Sinai Health System, Toronto, Ontario, Canada.

Joy Richards (J)

University Health Network, Toronto, Ontario, Canada.

Ru Taggar (R)

Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.

Susan Woollard (S)

North York General Hospital, Toronto, Ontario, Canada.

Classifications MeSH