Measuring nursing workload in neonatal intensive care

2006 ◽  
Vol 14 (3) ◽  
pp. 227-234 ◽  
Author(s):  
KAYE SPENCE ◽  
WILLIAM TARNOW-MORDI ◽  
GLEN DUNCAN ◽  
NELUN JAYASURYIA ◽  
JENNY ELLIOTT ◽  
...  
Keyword(s):  
Intensive Care ◽  
Neonatal Intensive Care ◽  
Nursing Workload

scholarly journals CARGA DE TRABALHO E DIMENSIONAMENTO DE PESSOAL DE ENFERMAGEM EM TERAPIA INTENSIVA NEONATAL

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Ana Tamara Kolecha Giordani Grebinski ◽  
Francislene Aparecida Biederman ◽  
Caroline Berte ◽  
Grasiely Masotti Scalabrin Barreto ◽  
João Lucas Campos De Oliveira ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Quantitative Study ◽  
Neonatal Intensive Care ◽  
Intensive Therapy ◽  
Nursing Workload ◽  
Cross Sectional ◽  
Nursing Team ◽  
Terapia Intensiva ◽  
The Mean

Objetivo: Mensurar a carga de trabalho da equipe de enfermagem de uma Unidade de Terapia Intensiva Neonatal (UTIN) e dimensionar o quadro de pessoal necessário para o suprimento desta demanda. Metodologia: Estudo transversal, documental e quantitativo. Foram coletadas variáveis de caracterização clínica e demográfica da amostra (n=105) de recém-nascidos e da carga de trabalho da enfermagem por meio do Nursing Activities Score (NAS). O dimensionamento foi calculado com base em equação para terapia intensiva e ajustado à Resolução nº 543/2017 do Conselho Federal de Enfermagem. Resultados: A média do NAS da UTIN foi de 749,9. Obteve-se quadro dimensionado de 43 profissionais, com déficit de 17 enfermeiros em comparação ao quadro disponível. Conclusão: O quadro de enfermeiros da UTIN é insuficiente.Descritores: Carga de trabalho; Dimensionamento; Equipe de enfermagem; Unidades de terapia intensiva neonatal.WORKLOAD AND SIZING OF THERAPY IN NURSING STAFF INTENSIVE NEWBORNObjective: To measure the workload of the nursing team of a Neonatal Intensive Care Unit (NICU) and to size the personnel needed to supply this demand. Method: Cross-sectional, documentary and quantitative study. Clinical and demographic characterization variables of the sample (n = 105) of newborns and the nursing workload were collected through the Nursing Activities Score (NAS). The design was calculated based on a formula for intensive therapy and adjusted to Resolution 543/2017 of the Federal Nursing Council. Results: The mean of the NICU NAS was 749.9. It was obtained a dimensioned picture of 43 professionals, with a deficit of 17 nurses in comparison to the available picture. Conclusion: Nurses from the NICU are insufficient.Descriptors: Workload; Sizing; Nursing team; Neonatal intensive care units.CARGA DE TRABAJO Y DIMENSIONAMIENTO DE PERSONAL DE ENFERMERÍA EN TERAPIA INTENSIVA NEONATALObjetivo: Medir la carga de trabajo del equipo de enfermería de una Unidad de Terapia Intensiva Neonatal (UTIN) y dimensionar el cuadro de personal necesario para el aprovisionamiento de esta demanda. Metodologia: Estudio transversal, documental y cuantitativo. Se recogieron variables de caracterización clínica y demográfica de la muestra (n = 105) de recién nacidos y de la carga de trabajo de la enfermería por medio del Nursing Activities Score (NAS). El dimensionamiento fue calculado con base en fórmula para terapia intensiva y ajustado a la Resolución 543/2017 del Consejo Federal de Enfermería. Resultados: El promedio del NAS de la UTIN fue de 749,9. Se obtuvo un cuadro dimensionado de 43 profesionales, con déficit de 17 enfermeros en comparación al cuadro disponible. Conclusión: El cuadro de enfermeros de la UTIN es insuficiente.Descriptores: Carga de trabajo; Dimensionamiento; Equipo de enfermería; Unidades de terapia intensiva neonatal.

Score for Neonatal Acute Physiology: A Physiologic Severity Index for Neonatal Intensive Care

PEDIATRICS ◽  
1993 ◽  
Vol 91 (3) ◽  
pp. 617-623 ◽  
Author(s):  
Douglas K. Richardson ◽  
James E. Gray ◽  
Marie C. McCormick ◽  
Kathryn Workman ◽  
Donald A. Goldmann
Keyword(s):  
Intensive Care ◽  
Birth Weight ◽  
Mortality Risk ◽  
Neonatal Intensive Care ◽  
Severity Index ◽  
Illness Severity ◽  
Neonatal Intensive Care Units ◽  
Nursing Workload ◽  
Substantial Variation ◽  
Therapeutic Intensity

The substantial variation in birth weight-adjusted mortality among neonatal intensive care units (NICUs) may reflect differences in population illness severity. Development of an illness severity measure is essential for comparisons of outcomes. The Score for Neonatal Acute Physiology (SNAP) was developed and validated prospectively on 1643 admissions (114 deaths) in three NICUs. SNAP scores the worst physiologic derangements in each organ system in the first 24 hours. SNAP showed little correlation with birth weight and was highly predictive of neonatal mortality even within narrow birth weight strata. It was capable of separating patients into groups with 2 to 20 times higher mortality risk. It also correlated highly with other indicators of severity including nursing workload (r = .59), therapeutic intensity (r = .78), physician estimates of mortality risk (r = .65), and length of stay (R2 = .59). SNAP is an important new tool for NICU research.

scholarly journals Interruptions and nursing workload during medication administration process

2019 ◽  
Vol 72 (4) ◽  
pp. 1001-1006 ◽  
Author(s):  
Renata Longhi Sassaki ◽  
Danielle Fabiana Cucolo ◽  
Marcia Galan Perroca
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Neonatal Intensive Care ◽  
Medication Administration ◽  
Nursing Workload ◽  
Medication Process ◽  
Nursing Team ◽  
Preparation Phase ◽  
The Mean ◽  
Mean Time

ABSTRACT Objective: To investigate the sources and causes of interruptions during the medication administration process performed by a nursing team and measure its frequency, duration and impact on the team’s workload. Métodos: This is an observational study that timed 121 medication rounds (preparation, administration and documentation) performed by 15 nurses and nine nursing technicians in a Neonatal Intensive Care Unit in the countryside of the state of São Paulo. Resultados: 63 (52.1%) interruptions were observed. In each round, the number of interruptions that happened ranged from 1-7, for 127 in total; these occurred mainly during the preparation phase, 97 (76.4%). The main interruption sources were: nursing staff – 48 (37.8%) − and self-interruptions – 29 (22.8%). The main causes were: information exchanges – 54 (42.5%) − and parallel conversations – 28 (22%). The increase in the mean time ranged from 53.7 to 64.3% (preparation) and from 18.3 to 19.2% (administration) – p≤0.05. Conclusão: Interruptions in the medication process are frequent, interfere in the workload of the nursing team and may reflect on the safety of care.

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

2020 ◽  
Author(s):  
Charlotte Lemieux-Bourque ◽  
Bruno Piedboeuf ◽  
Simon Gignac ◽  
Sharon Taylor-Ducharme ◽  
Anne-Sophie Julien ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Neonatal Intensive Care Unit ◽  
Preterm Infants ◽  
Neonatal Intensive Care ◽  
Nurse Staffing ◽  
Assessment Tools ◽  
Nursing Workload ◽  
Very Preterm Infants ◽  
Very Preterm

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

The Psychosocial Aspects of Feeding in the Neonatal Intensive Care Unit and Beyond

2019 ◽  
Vol 4 (6) ◽  
pp. 1507-1515
Author(s):  
Lauren L. Madhoun ◽  
Robert Dempster
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Neonatal Intensive Care Unit ◽  
Hospital Discharge ◽  
Neonatal Intensive Care ◽  
Oral Feeding ◽  
Medical Attention ◽  
Primary Role ◽  
Speech Language Pathologists ◽  
The Family

Purpose Feeding challenges are common for infants in the neonatal intensive care unit (NICU). While sufficient oral feeding is typically a goal during NICU admission, this can be a long and complicated process for both the infant and the family. Many of the stressors related to feeding persist long after hospital discharge, which results in the parents taking the primary role of navigating the infant's course to ensure continued feeding success. This is in addition to dealing with the psychological impact of having a child requiring increased medical attention and the need to continue to fulfill the demands at home. In this clinical focus article, we examine 3 main areas that impact psychosocial stress among parents with infants in the NICU and following discharge: parenting, feeding, and supports. Implications for speech-language pathologists working with these infants and their families are discussed. A case example is also included to describe the treatment course of an infant and her parents in the NICU and after graduation to demonstrate these points further. Conclusion Speech-language pathologists working with infants in the NICU and following hospital discharge must realize the family context and psychosocial considerations that impact feeding progression. Understanding these factors may improve parental engagement to more effectively tailor treatment approaches to meet the needs of the child and family.

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