René F. Kornelisse
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4 records found
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Impact assessment of neonatal care interventions on regional neonatal care capacity
A simulation study based on clinical data in the Netherlands
Objective To analyse the impact of selected neonatal care interventions on regional care capacity.
Design Discrete event simulation modelling based on clinical data.
Setting Neonatal care in the southwest of the Netherlands, consisting of one tertiary-level neonatal intensive care unit (NICU), four hospitals with high-care neonatal (HCN) wards and six with medium-care neonatal (MCN) wards.
Participants 44 461 neonates admitted to at least one hospital within the specified region or admitted outside of the region but with a residential address inside the region between 2016 and 2021.
Interventions The impact of three interventions was simulated: (1) home-based phototherapy for hyperbilirubinaemia, (2) oral antibiotic switch for culture-negative early onset infection and (3) changing tertiary-level NICU admission guidelines.
Main outcome measure Regional neonatal capacity defined as: (1) occupancy per ward level, (2) required operational beds per ward level to provide care to all inside region patients at maximum 85% occupancy, (3) proportion rejected, defined as outside region transfers due to no capacity to provide local care and (4) the weekly rejections in relation to occupancy to provide a combined analysis.
Results In the current situation, with many operational beds closed due to nurse shortages, occupancy was extremely high at the NICU and HCNs (respectively 91.7% (95% CI 91.4 to 92.0) and 98.1% (95% CI 98.0 to 98.2)). The number of required beds exceeded available beds, resulting in >20% rejections for both NICU and HCN patients. Although the three interventions individually demonstrated effect on capacity, clinical impact was marginal. In combination, NICU occupancy was reduced below the 85% government recommendation at the cost of an increased burden for HCNs, highlighting the need for redistribution to MCNs.
Conclusion Our model confirmed the severity of current neonatal capacity strain and demonstrated the potential impact of three interventions on regional capacity. The model showed to be a low-cost and easy-to-use method for regional capacity impact assessment and could provide the basis for making informed decisions for other interventions and future scenarios, supporting data-driven neonatal capacity planning and policy development.
Introduction: Preterm infants’ growth is typically monitored through weight, body length (BL) and head circumference (HC). However, 3D cranial volume (CrV) is considered a more accurate indicator of brain growth than 2D HC. The PreemieScanner is a novel 3D measuring device that simultaneously measures BL, HC and CrV. Its clinical usability was tested in a simulated NICU setting. Materials and methods: Three extremely low birth weight (ELBW; BW < 1,000 gram) dolls with Optiflow breathing systems, (tubes positioned either at the front or back of the head) were used. Nurses conducted scan sessions and marked anatomical landmarks on 3D PreemieScanner images. As control, nurses measured HC manually with a standard measuring tape. Key outcomes were: (1) Measurement success rate, (2) Precision—percentage within clinically allowed limits, ±0.4 cm for BL, ±0.3 cm for HC, ±12 ml for CrV, and 3) accuracy—mean or median measurement error (MME) relative to the ground truth. Results: Thirty-five scan sessions resulted in 100% successful measurements for BL and HC; 80% for CrV. BL MME −3.3% (p < 0.001); 40% (42/105) within precision limits. HC MME (Optiflow-front) 0.0% (p = 0.63); 89% (51/57) within limits. HC MME (Optiflow-back) −0.4% (p = 0.91). 93% (43/46) within limits. MME HC measuring tape, (Optiflow-front) −0.8% (p < 0.001), 88% (50/57) within limits, and MME (Optiflow-back) −1.1% (p < 0.001), 83% (40/48) within limits. MME CrV (Optiflow-front) −1.8% (p = 0.01), 86% (31/36) within limits, MME CrV (Optiflow-back) −1.3% (p < 0.001), 98% (45/46) within limits. Conclusions: The PreemieScanner is a reliable, comprehensive device for measuring BL, HC and CrV in ELBW infants. It integrates smoothly into routine care with minimal disturbance. HC measurements demonstrated higher accuracy and precision than traditional tape method. CrV measurements, with 93% within precision limits, can be regarded as acceptable, enabling development of CrV growth reference charts, enhancing clinical growth monitoring.
Background: Compliance with the recommended 30 s drying time of alcohol-based hand rub (ABHR) is often suboptimal. To increase hand hygiene compliance at a neonatal intensive care unit (NICU), we installed an Incubator Traffic Light (ITL) system which shows ‘green light’ to open incubator doors after the recommended drying time. Aim: To measure the impact of this visual feedback system on NICU healthcare professionals' compliance with the recommended ABHR drying time. Methods: Ten traffic light systems were installed on incubators at a NICU, five of which provided visual feedback, and five, serving as a control group, did not provide visual feedback. During a two-month period, the systems measured drying time between the moment of dispensing ABHR and opening the incubator's doors. The drying times of the incubators were compared with and without feedback. Findings: Of the 6422 recorded hand hygiene events, 658 were valid for data analysis. Compliance with correct drying time reached 75% (N = 397/526) for incubators equipped with visual feedback versus 36% (N = 48/132; P < 0.0001) for incubators lacking this feature. Conclusion: The ITL improves compliance with the recommended 30 s ABHR drying time in a NICU setting.
Introducing heart rate variability monitoring combined with biomarker screening into a level IV NICU
A prospective implementation study
The aim of this study was to investigate the association between the implementation of a local heart rate variability (HRV) monitoring guideline combined with determination of inflammatory biomarkers and mortality, measures of sepsis severity, frequency of sepsis testing, and antibiotic usage, among very preterm neonates. In January 2018, a guideline was implemented for early detection of late-onset neonatal sepsis using HRV monitoring combined with determination of inflammatory biomarkers. Data on all patients admitted with a gestational age at birth of < 32 weeks were reviewed in the period January 2016–June 2020 (n = 1,135; n = 515 pre-implementation, n = 620 post-implementation). Outcomes of interest were (sepsis-related) mortality, sepsis severity (neonatal sequential organ failure assessment (nSOFA)), sepsis testing, and antibiotic usage. Differences before and after implementation of the guideline were assessed using logistic and linear regression analysis for binary and continuous outcomes respectively. All analyses were adjusted for gestational age and sex. Mortality within 10 days of a sepsis episode occurred in 39 (10.3%) and 34 (7.6%) episodes in the pre- and post-implementation period respectively (P = 0.13). The nSOFA course during a sepsis episode was significantly lower in the post-implementation group (P = 0.01). We observed significantly more blood tests for determination of inflammatory biomarkers, but no statistically significant difference in number of blood cultures drawn and in antibiotic usage between the two periods.
Conclusion: Implementing HRV monitoring with determination of inflammatory biomarkers might help identify patients with sepsis sooner, resulting in reduced sepsis severity, without an increased use of antibiotics or number of blood cultures.