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
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NICUs use different nursing workload assessment tools.
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We validated three different nursing workload assessment tools used in the NICU.
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Nursing provision ratio is associated the risk of mortality/morbidity in preterm infants.
Keywords
nurse staffing - health care organization - infant - neonatal intensive care unit