Article Text
Abstract
There are no internationally agreed descriptors for categories of neonatal transports which facilitate comparisons between settings. To continually review and enhance neonatal transport care we need robust categories to develop benchmarks. This review aimed to report on the development and application of key measures across a national neonatal transport service. The UK Neonatal Transport Group (UK-NTG) developed a core dataset and benchmarks for transported infants and collected annual national data. Data were reported back to teams to allow benchmarking and improvements. From 2012 to 2021, the rate of UK neonatal transfers increased from 18 to 22/1000 live births despite a falling birth rate. Neonatal transfers on nitric oxide increased until 2016 before plateauing. The proportion of transport services able to provide high frequency oscillation and servo-controlled therapeutic hypothermia increased over the study period. High-flow nasal cannula oxygen use increased, becoming the most frequently used non-invasive respiratory support mode. For infants <27 weeks of gestational age, transfers for uplift of care in the first 3 days of life have fallen from 420 (2016) to 288 (2020/2021) and for lack of neonatal capacity from 24 (2016) to 2 (2020/2021). The rate of ventilated infants completing transfer with CO2 out of the benchmark range varied from 9% to 13% with marked variation between transport services’ rates of hypocapnia (0–10%) and hypercapnia with acidosis (0–9%). The development of the UK-NTG dataset supports national tracking of activity and clinical trends allowing comparison of patient-focused benchmarks across teams.
- Neonatology
- Data Collection
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Footnotes
X @Alldoj, @SarahDavidsonL, @DrDonSharkey
Contributors This review was conceived and led by DS who is the guarantor of the study. AL led the development of the dataset, analysed the data (2008–2018) and prepared the manuscript. ACF co-led the development of the dataset and analysis of data (2008–2011). AJ led the data analysis (2019–2021) and with CH contributed to interpretation of findings and manuscript preparation. CD analysed the data (2019–2021). SB, SD, RT, JW, EC, BF and AP contributed to dataset development and reviewed the draft manuscript.
Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests None declared.
Provenance and peer review Not commissioned; internally peer reviewed.
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