The cognitive aids in medicine assessment tool (CMAT) applied to five neonatal resuscitation algorithms

McLanders, Mia; Marshall, Stuart; Sanderson, Penelope; Liley, Helen

doi:10.1038/jp.2016.235

Cited by 13 publications

(6 citation statements)

References 19 publications

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“…A recent modified DELPHI review of the ILCOR and 4 adapted HRS algorithms found the former slightly more effective than the adaptations by ILCOR members [2]. The group agreed that the template was simple and clear; it was therefore felt to be a good base for the group's new algorithm.…”

Section: The Deliberative Processmentioning

confidence: 97%

“…Initial discussions also focused on the generic ILCOR algorithm for NR, a template for the design of contextspecific resuscitation algorithms that is meant to be adapted to the patient population and resources [2,4]. A recent modified DELPHI review of the ILCOR and 4 adapted HRS algorithms found the former slightly more effective than the adaptations by ILCOR members [2].…”

Section: The Deliberative Processmentioning

confidence: 99%

“…Lastly, in accord with HBB recommendations and the current medical literature, an outcome for stopping resuscitation and death was included and linked to a debrief of both the team and family [19]. This first draft was informally checked for effectiveness against the cognitive aids in medicine assessment tool (CMAT) [2] and Marshall's 4-point [1] criteria by L.U. before presentation to the group.…”

Section: The Deliberative Processmentioning

confidence: 99%

“…Conversely, in appreciation that much of the current evidence for delivery room resuscitation was derived from research in HRS, it was necessary to leave out points specific to HRS, and, in recognition of the role of human and contextual factors, to incorporate design elements and content to address the specific challenges in MSF projects [2]. The foundation was the ILCOR algorithm with the accepted airway, breathing, and circulation -ABC -approach [16].…”

Section: The Deliberative Processmentioning

confidence: 99%

“…Therefore, NR is classified as a high-acuity, low-occurrence skill: one that requires ongoing practice and learning to maintain the skills acquired in its initial teaching [2,3]. Current international guidelines and recommendations advise on effective interventions and the sequence in which they should ideally be provided [4,5].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

When Helping Babies Breathe Is Not Enough: Designing a Novel, Mid-Level Neonatal Resuscitation Algorithm for Médecins Sans Frontières Field Teams Working in Low-Resource Hospital Settings

Umphrey

Breindahl

Brown³

et al. 2018

Neonatology

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Background: Neonatal resuscitation (NR) combines a set of life-saving interventions in order to stabilize compromised newborns at birth or when critically ill. Médecins Sans Frontières/Doctors Without Borders (MSF), as an international medical-humanitarian organization working particularly in low-resource settings (LRS), assisted over 250,000 births in obstetric and newborn care aid projects in 2016 and provides thousands of newborn resuscitations annually. The Helping Babies Breathe (HBB) program has been used as formal guidance for basic resuscitation since 2012. However, in some MSF projects with the capacity to provide more advanced NR interventions but a lack of adapted guidance, staff have felt prompted to create their own advanced algorithms, which runs counter to the organization's aim for standardized protocols in all aspects of its care. Objectives: The aim is to close a significant gap in neonatal care provision in LRS by establishing consensus on a protocol that would guide MSF field teams in their practice of more advanced NR. Methods: An independent committee of international experts was formed and met regularly from June 2016 to agree on the content and design of a new NR algorithm. Results: Consensus was reached on a novel, mid-level NR algorithm in April 2017. The algorithm was accepted for use by MSF Operational Center Paris. Conclusion: This paper contributes to the literature on decision-making in the development of cognitive aids. The authors also highlight how critical gaps in healthcare delivery in LRS can be addressed, even when there is limited evidence to guide the process.

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Section: The Deliberative Processmentioning

confidence: 97%