Impact of neonatal sepsis calculator in West Midlands (UK)

Hasselt, Tim J van; McDermott, Helen; Surana, Pinki; Eltahir, Rawia; Macaskill, Laura; Jain, Raunak; McMullan, Nicola; Slee, Samantha; Jagga, Megha; Naseem, Muhammad; Alake, Oluwaseyi; Cherry, Canada; Miguras, Benjamin; Ewer, Andrew K

doi:10.1136/archdischild-2020-320862

Cited by 4 publications

(1 citation statement)

References 4 publications

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“…A recent Welsh study demonstrated the effectiveness of KP-SRC; however, Birmingham has significant inherent population differences (higher socioeconomic deprivation, ethnic diversity, EONS incidence and perinatal mortality) 3. We aimed to implement KP-SRC in our diverse high-risk population to evaluate its safety following our pre-implementation study 4…”

Section: Introductionmentioning

confidence: 99%

Impact of adopting a neonatal sepsis risk calculator in a diverse population in Birmingham, UK

Yew,

Macaskill,

Brown

et al. 2023

Arch Dis Child Fetal Neonatal Ed

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Section: Introductionmentioning

confidence: 99%

Impact of adopting a neonatal sepsis risk calculator in a diverse population in Birmingham, UK

Yew,

Macaskill,

Brown

et al. 2023

Arch Dis Child Fetal Neonatal Ed

Self Cite

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Potential benefit from the implementation of the Kaiser Permanente neonatal early-onset sepsis calculator on clinical management of neonates with presumed sepsis

Kopsidas

Molocha²,

Kourkouni³

et al. 2021

Eur J Pediatr

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Implementation of an adapted Sepsis Risk Calculator algorithm to reduce antibiotic usage in the management of early onset neonatal sepsis: a multicentre initiative in Wales, UK

Goel

Cannell

Davies

et al. 2021

Arch Dis Child Fetal Neonatal Ed

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ObjectiveAssess the impact of introducing a consensus guideline incorporating an adapted Sepsis Risk Calculator (SRC) algorithm, in the management of early onset neonatal sepsis (EONS), on antibiotic usage and patient safety.DesignMulticentre prospective studySettingTen perinatal hospitals in Wales, UK.PatientsAll live births ≥34 weeks’ gestation over a 12-month period (April 2019–March 2020) compared with infants in the preceding 15-month period (January 2018–March 2019) as a baseline.MethodsThe consensus guideline was introduced in clinical practice on 1 April 2019. It incorporated a modified SRC algorithm, enhanced in-hospital surveillance, ongoing quality assurance, standardised staff training and parent education. The main outcome measure was antibiotic usage/1000 live births, balancing this with analysis of harm from delayed diagnosis and treatment, disease severity and readmissions from true sepsis. Outcome measures were analysed using statistical process control charts.Main outcome measuresProportion of antibiotic use in infants ≥34 weeks’ gestation.Results4304 (14.3%) of the 30 105 live-born infants received antibiotics in the baseline period compared with 1917 (7.7%) of 24 749 infants in the intervention period (45.5% mean reduction). All 19 infants with culture-positive sepsis in the postimplementation phase were identified and treated appropriately. There were no increases in sepsis-related neonatal unit admissions, disease morbidity and late readmissions.ConclusionsThis multicentre study provides evidence that a judicious adaptation of the SRC incorporating enhanced surveillance can be safely introduced in the National Health Service and is effective in reducing antibiotic use for EONS without increasing morbidity and mortality.

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Impact of neonatal sepsis calculator in West Midlands (UK)

Cited by 4 publications

References 4 publications

Impact of adopting a neonatal sepsis risk calculator in a diverse population in Birmingham, UK

Impact of adopting a neonatal sepsis risk calculator in a diverse population in Birmingham, UK

Potential benefit from the implementation of the Kaiser Permanente neonatal early-onset sepsis calculator on clinical management of neonates with presumed sepsis

Implementation of an adapted Sepsis Risk Calculator algorithm to reduce antibiotic usage in the management of early onset neonatal sepsis: a multicentre initiative in Wales, UK

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