Development and national roll out of the Resuscitation Council (UK) Advanced Resuscitation of the Newborn Infant course (ARNI)

Fawke, Joe; Wyllie, Jonathan; Cusack, Jonathan; Lawn, Cassie

doi:10.1016/j.resuscitation.2016.07.186

Cited by 6 publications

(18 citation statements)

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“…The vast majority of UK Neonatal Units will have a local policy ensuring that practitioners attend higher risk deliveries to be available to immediately provide neonatal resuscitation if required. As supported by recently published national guidelines, 1 these practitioners must be appropriately trained using structured educational programmes that teach the knowledge, technical skills and non‐technical skills required for neonatal resuscitation. The national guidelines accept that the content and organisation of such training programmes may vary according to the needs of the practitioners and the organisation of the institutions.…”

Section: Introductionmentioning

confidence: 99%

Induction to neonatal resuscitation: A UK‐wide survey on practice

2023

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Aim To assess the perceived quality, and variation in quality, of Neonatal Induction Programmes in preparing medical staff to attend deliveries and deliver neonatal resuscitation if required. To delineate the components of an induction programme and the systems processes that would optimise medical staff training in delivering neonatal resuscitation. Methods We conducted a nationwide (United Kingdom [UK]) survey of all junior doctors working within paediatric/neonatal posts as well as the persons responsible for organising their local Neonatal Induction Programme. Results We received 237 respondents from diverse roles. Practitioners feel only somewhat effectively prepared to attend deliveries and deliver neonatal resuscitation. More concerningly, they report moderate‐to‐high levels of variation across different centres. Practical training is considered more important than theoretical; and basic topics more useful than advanced. The preferred approach to neonatal resuscitation training is a locally determined programme within a framework of national standards/recommendations. Conclusion Practitioners feel that the quality, and particularly variation in quality, of neonatal resuscitation training at induction across the United Kingdom is suboptimal. Staff indicated the utility of a framework of national standards, and indeed this survey has been instrumental in the publication of such standards by the Royal College of Paediatrics and Child Health.

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Section: Introductionmentioning

confidence: 99%

Induction to neonatal resuscitation: A UK‐wide survey on practice

2023

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“…However, around 15% need additional help, including stimulation and airway manoeuvres. Approximately 5% require positive pressure ventilation and up to 2%, approximately 12 000 UK newborns annually, need advanced support including intubation, chest compressions and adrenaline 1. The need for advanced resuscitation is often unpredictable and can be presented to clinicians with limited experience.…”

Section: Introductionmentioning

confidence: 99%

Is telemedicine suitable for remotely supporting non-tertiary units in providing emergency care to unwell newborns?

Edwards

O’Shea

2023

Arch Dis Child

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Although the majority of term infants will breathe spontaneously at birth, the requirement for advanced resuscitation can be unpredictable, as can the precipitous delivery of an extremely preterm infant in a non-tertiary neonatal unit. Infants born in hospitals without a tertiary neonatal intensive care unit have a higher mortality which is a disparity that has been difficult to resolve.Telemedicine, the use of videoconferencing software to connect those at the scene of a resuscitation to a remote clinician, can allow for real-time two-way communication between a local unit and a tertiary neonatal specialist. It has been present for some time in neonatology to provide secure video messaging with families and its use in neonatal acute care and resuscitation has been growing in recent years.We sought to perform a review of the current evidence available on the use of telemedicine in neonatal resuscitation. Studies demonstrate improved quality of resuscitation, improved adherence to resuscitation guidelines and positive experiences reported by local and tertiary teams. Suitable technology needs to be available to establish a rapid and secure video connection, as does adequate availability of experienced neonatologists to provide remote guidance. Telemedicine is an exciting and emerging tool which is being developed as a standard of care in units which have piloted it.

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“…Around 5-10% of newborns do not spontaneously breathe when they are born so basic life support is needed (Finer and Rich 2010). Based on the NLS guideline (Fawke et al 2021), the support includes thermal care, stimulation, inflation breaths, and ventilation while continuously observing the response of the baby. Based on the response, further escalation involving chest compressions and emergency drug administration may be considered.…”

Section: Introductionmentioning

confidence: 99%

Identifying Variation in the Newborn Life Support Procedure: An Automated Method

Tan,

Remenyte-Prescott,

Egede

et al. 2023

Proceeding of the 33rd European Safety and Reliability Conference

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This research is conducted for developing an automated method to recognize variations in the Newborn Life Support (NLS) procedure. Compliance with the NLS standard guideline is essential to prevent any adverse consequences for the newborn. Video recordings of resuscitation are frequently used in research to identify types of variations and understand how to minimize unwanted ones. Despite their benefits, it takes a significant amount of time and human resources to manually evaluate the procedure from videos. Therefore, an automated method could help. In this study, a variation recognition based on an action recognition technique is built. In the first step, automatic object segmentation is performed on every NLS action image. In the second stage, a number of features involving the proportion of medical objects availability and their movement, as well as association among actions are extracted and fed into machine learning models. The results show that the strategy of considering actions' associations and preliminary prediction of actions succeeded in improving the model performance. However, the whole recognition system still works fairly, and it is only for the wet towel removal step in the procedure, yet it has been useful to inform the adherence of the recorded procedure to the NLS guideline. This study is an initial work that will advance toward the integration of automated variation recognition with reliability modeling work on the NLS procedure.

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Development and national roll out of the Resuscitation Council (UK) Advanced Resuscitation of the Newborn Infant course (ARNI)

Cited by 6 publications

References 0 publications

Induction to neonatal resuscitation: A UK‐wide survey on practice

Induction to neonatal resuscitation: A UK‐wide survey on practice

Is telemedicine suitable for remotely supporting non-tertiary units in providing emergency care to unwell newborns?

Identifying Variation in the Newborn Life Support Procedure: An Automated Method

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