Professor Brad Manktelow

I am a medical statistician in The Infant Mortality and Morbidity Studies (TIMMS) research group. My work primarily centres on the development and use of statistical methods in perinatal and neonatal research. I am particularly interested in the methods used for quality improvement and quality assurance in healthcare.

I was awarded my undergraduate degree by the Open University in 1995, having successfully completed modules in applied mathematics and statistics. I completed the MSc Medical Statistics & IT at the University of Leicester in 1997 and then remained at the university taking up a post as a research associate. I subsequently completing my PhD at the University of Leicester in 2006. I have remained at Leicester since and took up my first academic post in 2016. I was promoted to Professor of Medical Statistics in 2020

My current research interest centres on the use and development of statistical methods for quality improvement and quality assurance in healthcare. I am also interested in the statistical issues arising from research in perinatal, neonatal, and paediatric medicine.

I am a co-investigator and perinatal lead for MBRRACE-UK, the national collaborative programme of work undertaking the surveillance and investigation of stillbirths, neonatal deaths, and maternal deaths in the UK. As the lead statistician for MBRRACE-UK, I supervise the analysis of data for the UK's national perinatal mortality surveillance report.

Matthews RJ, Draper ES, Manktelow BN, Kurinczuk JJ, Fenton AC, Dunkley-Bent J, Gallimore I, Smith LK (2022). Understanding ethnic inequalities in stillbirth rates: a UK population-based cohort study. BMJ OPEN 12(2):8.

Bamber D, Collins H, Powell C, Goncalves GC, Johnson S, Manktelow B, Ornelas JP, Lopes JC, Rocha A, Draper E (2022). Development of a data classification system for preterm birth cohort studies: The RECAP Preterm project. BMC Medical Research Methodology; 22:8.

Draper, E. S., Zeitlin, J., Manktelow, B. N., et al (2020). EPICE cohort: two-year neurodevelopmental outcomes after very preterm birth. ARCHIVES OF DISEASE IN CHILDHOOD-FETAL AND NEONATAL EDITION, 105(4), F350-F356.

Seaton, S. E., Draper, E. S., Abrams, K. R., Modi, N., Manktelow, B. N., on behalf of the UK Neonatal Collaborative (2019). Can we estimate the length of stay of very preterm multiples?. ARCHIVES OF DISEASE IN CHILDHOOD-FETAL AND NEONATAL EDITION, 104(5), F568-F570.

Best, K. E., Seaton, S. E., Draper, E. S., Field, D. J., Kurinczuk, J. J., Manktelow, B. N., Smith, L. K. (2019). Assessing the deprivation gap in stillbirths and neonatal deaths by cause of death: a national population-based study. ARCHIVES OF DISEASE IN CHILDHOOD-FETAL AND NEONATAL EDITION, 104(6), F624-F630.

Johnson, S., Bountziouka, V., Brocklehurst, P., Linsell, L., Marlow, N., Wolke, D., & Manktelow, B. N. (2019). Standardisation of the Parent Report of Children's Abilities-Revised (PARCA-R): a norm-referenced assessment of cognitive and language development at age 2 years. LANCET CHILD & ADOLESCENT HEALTH, 3(10), 705-712.

Pillay, T., Modi, N., Rivero-Arias, O., Manktelow, B., Seaton, S. E., Armstrong, N., . . . Boyle, E. M. (2019). 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, 9(8).

Seaton, S. E., Barker, L., Draper, E. S., Abrams, K. R., Modi, N., Manktelow, B. N., . . . Millman, G. (2019). Estimating neonatal length of stay for babies born very preterm. ARCHIVES OF DISEASE IN CHILDHOOD-FETAL AND NEONATAL EDITION, 104(2), F182-F186.

Norris, T., Seaton, S. E., Manktelow, B. N., et al (2018). Updated birth weight centiles for England and Wales. ARCHIVES OF DISEASE IN CHILDHOOD-FETAL AND NEONATAL EDITION, 103(6), F577-F582.

Johnson, S., Waheed, G., Manktelow, B. N., Field, D. J., Marlow, N., Draper, E. S., & Boyle, E. M. (2018). Differentiating the Preterm Phenotype: Distinct Profiles of Cognitive and Behavioral Development Following Late and Moderately Preterm Birth. JOURNAL OF PEDIATRICS; 193: 85-92.e1.

Draper, E. S., Manktelow, B. N., Cuttini, M., et al (2017). Variability in Very Preterm Stillbirth and In-Hospital Mortality Across Europe. PEDIATRICS, 139(4), e20161990.

Smith, L. K., Blondel, B., Van Reempts, P., Draper, E. S., Manktelow, B. N., et al (2017). Variability in the management and outcomes of extremely preterm births across five European countries: a population-based cohort study. ARCHIVES OF DISEASE IN CHILDHOOD-FETAL AND NEONATAL EDITION, 102(5), F400-F408.

I am interested to hear from prospective PhD students interested in projects investigating the development and application of statistical methods to patient safety and quality improvement in healthcare.

Recent students have investigated the topics:

• Modelling neonatal care pathways for babies born very preterm
• Continuous real-time monitoring of extended perinatal mortality
• The association between socioeconomic circumstances, ethnicity and stillbirth
• Clinical frailty and hospital adverse events in the elderly

I am Programme Director of the Quality and Safety in Healthcare programme at the University of Leicester. The courses within this postgraduate programme cover both the theoretical and the practical aspects of healthcare quality improvement and patient safety.

I currently lead the postgraduate module Measuring and Monitoring in Healthcare.

The application of statistical methods to patient safety and quality improvement in healthcare.

• PhD Statistical issues in the comparison of mortality in neonatal intensive care units within a UK health region
  The University of Leicester (2006)
• MSc Medical Statistics & IT 
  The University of Leicester (1997)
• BSc Applied Mathematics
  The Open University (1995)

• Diploma in Mathematics
  The Open University (2006)
• Certificate in Spanish
  The Open University (2005)

• Fellow of the Higher Education Academy 2019