Am J Perinatol 2022; 39(06): 640-645
DOI: 10.1055/s-0040-1718571
Original Article

Comparison of Three Nursing Workload Assessment Tools in the Neonatal Intensive Care Unit and Their Association with Outcomes of Very Preterm Infants

Charlotte Lemieux-Bourque
1   CHU de Québec Research Center, Quebec, Canada
2   Department of Pediatrics, Faculty of Medicine, Université Laval, Quebec, Canada
,
Bruno Piedboeuf
1   CHU de Québec Research Center, Quebec, Canada
2   Department of Pediatrics, Faculty of Medicine, Université Laval, Quebec, Canada
,
Simon Gignac
3   Neonatal Intensive Care Unit, Montreal Children's Hospital, Montreal, Quebec, Canada
,
Sharon Taylor-Ducharme
3   Neonatal Intensive Care Unit, Montreal Children's Hospital, Montreal, Quebec, Canada
,
Anne-Sophie Julien
4   Statistical Consulting Service, Department of Mathematics and Statistics, Université Laval, Quebec, Canada
,
Marc Beltempo
5   Division of Neonatology, Department of Pediatrics, McGill University, Montreal, Quebec, Canada
6   McGill University Health Centre Research Institute, Montreal, Quebec, Canada
› Author Affiliations

Funding M.B. holds an early career investigator grant from the CIHR Institute of Human Development, Child and Youth Health and the Montreal Children's Hospital Foundation. The funding agencies had no role in the design and conduct of the study; collection, management, analysis and interpretation of the data; preparation, review or approval of the manuscript; and decision to submit the manuscript for publication.
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Abstract

Objective Nursing workload assessment tools are widely used to determine nurse staffing requirements in the neonatal intensive care unit (NICU). We aimed to compare three existing workload assessment tools and assess their association with mortality or morbidity among very preterm infants.

Study Design Single-center retrospective cohort study of infants born <33 weeks and admitted to a 52-bed tertiary NICU in 2017 to 2018. Required nurse staffing was estimated for each shift using the Winnipeg Assessment of Neonatal Nursing Needs Tool (WANNNT) used as reference tool, the Quebec Provincial NICU Nursing Ratio (QPNNR), and the Canadian NICU Resource Utilization (CNRU). Poisson regression models with robust error variance estimators were used to assess the association between nursing provision ratios (actual number of nurses/required number of nurses) during the first 7 days of admission and neonatal outcomes.

Results Median number of nurses required per shift using the WANNNT was 25.0 (interquartile range [IQR]: 23.1–26.7). Correlation between WANNNT and QPNNR was high (r = 0.92, p < 0.0001), but the QPNNR underestimated the number of nurses per shift by 4.8 (IQR: 4.1–5.4). Correlation between WANNNT and CNRU was moderate (r = 0.45, p < 0.0001). The NICU nursing provision ratios during the first 7 days of admission calculated using the WANNNT (adjusted risk ratio [aRR]: 0.96, 95% confidence interval [CI]: 0.93–0.99) and QPNNR (aRR: 0.97, 95% CI: 0.95–0.99) were associated with mortality or morbidity.

Conclusion Lower nursing provision ratio calculated using the WANNNT and CNRU during the first 7 days of admission is associated with an increased risk of mortality/morbidity in very preterm infants.

Key Points

  • NICUs use different nursing workload assessment tools.

  • We validated three different nursing workload assessment tools used in the NICU.

  • Nursing provision ratio is associated the risk of mortality/morbidity in preterm infants.

Supplementary Material



Publication History

Received: 30 May 2020

Accepted: 01 September 2020

Article published online:
14 October 2020

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