Sarah E Seaton

Research Fellow in Perinatal and Paediatric Research


CONTACT DETAILS

(Please note I am working from home due to COVID-19, therefore the best way to contact me is email)

Department of Health Sciences
George Davies Centre, University of Leicester
Leicester LE1 7RH

Tel: +44 (0)116 252 5434

Email: sarah.seaton@le.ac.uk

RESEARCH INTERESTS:

I am a perinatal and paediatric researcher in The Infant Mortality and Morbidity Studies group. I am funded by the National Institute for Health Research via an Advanced Fellowship which aims to investigate the transition from neonatal to paediatric care. Prior to my fellowship I worked on the DEPICT Study investigating the impact of the paediatric transport on critically ill children.

UNDERSTANDING THE EPIDEMIOLOGY, EXPERIENCES AND VARIATION IN THE TRANSITION FROM NEONATAL TO PAEDIATRIC CARE: A MIXED METHODS STUDY

My current research focusses on the transition between neonatal and paediatric care services. Following birth around one in seven babies require admission to specialist neonatal care. Reasons for admissions are varied and include: extreme prematurity; jaundice and infection. Lengths of stay in neonatal care are varied with some babies only requiring a few hours whilst others may need several months. Survival of babies admitted for neonatal care has improved in recent years.

After discharge from neonatal care, if a child requires specialist care again this will be received in a paediatric intensive care unit (PICU). The number of admissions to PICU has been increasing in recent years. We do not know how many children who were admitted for neonatal care are also admitted to PICU. In this research project, we will investigate what happens to children who needed neonatal care in the first two years of their life.

The current version of the study privacy notice can be found here.

RESEARCH GRANTS:

Optimising Neonatal Service Provision for Preterm Babies (OPTI-PREM) (funded by an NIHR Health Services and Delivery Research grant) ~£925,000

Understanding the epidemiology, experiences and variation in the transition from neonatal to paediatric care: a mixed methods study (funded by an NIHR Advanced Fellowship) ~£600,000

Modelling neonatal care pathways: costs and consequences for the future (NIHR Doctoral Fellowship September 2013 - August 2018)  ~£265,000

SELECTED PUBLICATIONS:

Ramnarayan P, Evans R, Draper ES, Seaton SE, Wray J, Morris S, Pagel C. Differences in access to Emergency Paediatric Intensive Care and care during Transport (DEPICT): study protocol for a mixed methods study. BMJ Open. 2019;9(7):e028000

King M, Ramnarayan P, Seaton SE, Pagel C. Modelling the allocation of paediatric intensive care retrieval teams in England and Wales. Archives of Disease in Childhood. 2019:archdischild-2018-316056.

Pillay T, Modi N, Rivero-Arias O, Manktelow B, Seaton SE, Armstrong N, Draper ES, Dawson K, Paton A, Ismail AQT, Yang M, Boyle EM. Optimising neonatal service provision for preterm babies born between 27 and 31 weeks gestation in England (OPTI-PREM), using national data, qualitative research and economic analysis: a study protocol. BMJ Open. 2019;9(8):e029421

Seaton SE, Barker L, Draper ES, Abrams KR, Modi N, Manktelow BN. Estimating neonatal length of stay for babies born very preterm. Archives of Disease in Childhood: Fetal and Neonatal Edition 2019; 104; F182-F186.

Norris T, Seaton SE, Manktelow BN, Baker P, Kurinczuk JJ, Field DJ, Draper ES, Smith LK, on behalf of the MBRRACE-UK Collaboration. Updated birthweight centiles for England and Wales. Archives of Disease in Childhood: Fetal and Neonatal Edition 2018; 103(6): F577-F582.

Seaton SE, Barker L, Draper ES, Abrams KR, Modi N, Manktelow BN. Modelling neonatal care pathways for babies born preterm: an application of multistate modelling. PLOS ONE 2016; 11(10): e0165202.

Seaton SE, Barker L, Jenkins D, Draper ES, Abrams KR, Manktelow BN. What factors predict length of stay in a neonatal unit: a systematic review. BMJ Open 2016; 6(10)

Seaton SE, Barker L. Modelling neonatal care pathways: investigating length of stay for preterm infants. Infant 2016; 12(3): 87-90.

Field D, Boyle E, Draper E, Evans A, Johnson S, Khan K, Manktelow B, Marlow N, Petrou S, Pritchard C, Seaton S, Smith L. Towards reducing variations in infant mortality and morbidity: a population based approach. Programme Grants for Applied Research 2016:4(1).

Boyle EM, Johnson S, Manktelow B, Seaton SE, Draper ES, Smith LK, Dorling J, Marlow N, Petrou S, Field DJ. Neonatal outcomes and delivery of care for infants born late preterm or moderately preterm: A prospective population-based study. Archives of Disease in Childhood Fetal & Neonatal Edition, 2015; 100(6): F479-85.

Guy A, Seaton SE, Boyle EM, Draper ES, Field DJ, Manktelow BN, Marlow N, Smith LK, Johnson S. Infants born late/moderately preterm are at increased risk for a positive autism screen at 2 years of age. Journal of Pediatrics 2015;166(2):269-275.

Johnson S, Evans TA, Draper ES, Field DJ, Manktelow BN, Marlow N, Matthews R, Petrou S, Seaton SE, Smith LK, Boyle EM. Neurodevelopmental outcomes following late and moderate prematurity: Population-based cohort study. Archives of Disease in Childhood Fetal & Neonatal Edition 2015; 100: F301-F308.

Khan KA, Petrou S, Dritaki M, Johnson SJ, Manktelow B, Draper ES, Smith LK, Seaton SE, Marlow N, Dorling J, Field DJ, Boyle EM. Economic costs associated with moderate and late preterm birth: A prospective population-based study. BJOG: An International Journal Obstetrics and Gynaecology 2015; 122(11): 1495-505.

Smith LK, Draper ES, Evans TA, Field DJ, Johnson SJ, Manktelow BN, Seaton SE, Marlow N, Petrou S, Boyle EM. Associations between late and moderately preterm birth and smoking, alcohol, drug use and diet: a populationed-based case-cohort. Archives of Disease in Childhood Fetal & Neonatal Edition .

Manktelow BN; Seaton SE; Evans TA. Funnel plot limits to identify poorly performing healthcare providers when there is uncertainty in the value of the benchmark. Statistical Methods in Medical Research 2016; 25(6): 2670-2684.

Johnson S, Seaton SE, Manktelow BN, Smith LK, Field D, Draper ES, Marlow N, Boyle EM. Telephone interviews and online questionnaires can be used to improve neurodevelopmental follow-up rates. BMC Research Notes 2014;7:219.

Seaton SE, Barker L, Lingsma HF, Steyerberg EW, Manktelow BN. What is the probability of detecting poorly performing hospitals using funnel plots? BMJ Quality and Safety 2013;22(10):870-876.

Evans, TA; Seaton, SE; Manktelow, BN. Quantifying the potential bias when directly comparing Standardised Mortality Ratios for in-unit neoantal mortality. PLoS ONE 2013 8(4): e61237.

Hinchliffe SR, Seaton SE, Lambert PC, Draper ES, Field DJ, Manktelow BN. Modelling time to death or discharge in neonatal care: an application of competing risks. Paediatric and Perinatal Epidemiology 2013 27(4): 426-433.

Manktelow BN, Seaton SE, Field DJ, Draper ES. Population based estimates of in-unit survival for very preterm babies. Pediatrics 2013, 131(2): e425-e432.

Seaton SE, King S, Manktelow BN, Draper ES, Field DJ. Babies born at the threshold of viability: changes in survival and workload over 20 years. Archives of Disease in Childhood Fetal & Neonatal Edition 2013;98(1):F15-F20.

Manktelow BN, Seaton SE. Specifying the probability characteristics of funnel plot control limits: an investigation of three approaches. PLoS One 2012: 7(9): e45723. doi:10.1371/journal.pone.0045723.

Seaton SE, Manktelow BN. The probability of being identified as an outlier with commonly used funnel plot control limits for the Standardised Mortality Ratio. BMC Medical Research Methodology 2012, 12:98. doi:10.1186/1471-2288-12-98

Seaton SE, Field DJ, Draper ES, Manktelow BN, Smith GCS, Springett A, Smith, LK. Socioeconomic inequalities in the rate of stillbirth by cause: a population based study. BMJ Open 2012: 2(3).

Seaton SE, Yadav KD, Field DJ, Khunti K, Manktelow BN. Birthweight centile charts for UK born babies of South Asian ethnic origin. Neonatology 2011: 100(4):398-403.

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