Workplace Predictors of Quality and Safe Patient Care Delivery Among Nurses Using Machine Learning Techniques.

J Nurs Care Qual

University of British Columbia (UBC) School of Nursing, Vancouver, British Columbia, Canada (Dr Havaei); UBC Department of Educational and Counselling Psychology and Special Education, Vancouver, British Columbia, Canada (Dr Ji); and McMaster University School of Nursing, Hamilton, Ontario, Canada (Dr Boamah).

Published: February 2022

Background: Working in unhealthy environments is associated with negative nurse and patient outcomes. Previous body of evidence in this area is limited as it investigated only a few factors within nurses' workplaces.

Purpose: The purpose of this study was to identify the most important workplace factors predicting nurses' provision of quality and safe patient care using a 13-factor measure of workplace conditions.

Methods: A cross-sectional correlational survey study involving 4029 direct care nurses in British Columbia was conducted using random forest data analytics methods.

Results: Nurses' reports of healthier workplaces, particularly workload management, psychological protection, physical safety and engagement, were associated with higher ratings of quality and safe patient care.

Conclusion: These workplace conditions are perceived to impact patient care through influencing nurses' mental health. To ensure a high standard of patient care, data-driven policies and interventions promoting overall nurse mental health and well-being are urgently required.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8860211PMC
http://dx.doi.org/10.1097/NCQ.0000000000000600DOI Listing

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