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Identifying outcomes to predict indigenous child health in New Zealand

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

Project Description

Interventions in pregnancy and around the time of birth are often tested in randomised clinical trials to improve maternal and perinatal health. However these interventions also have potential to impact on the longer term wellbeing of an infant as they develop through childhood providing on-going or new benefit or even possibly harm.

A number of our randomised trials have included childhood assessment of development, physical health and educational achievement outcome measures. However, we acknowledge that these standardised outcomes may not be the most relevant and reliable longer-term outcomes for predicting indigenous child health in New Zealand.

In preparation for the longer-term outcome assessment of children born to mothers who participate in a large multicentre placebo-controlled trial assessing the neonatal benefit and harm of maternal corticosteroid use prior to planned caesarean section at ≥35+0 to 39+6 weeks we are keen to explore the current literature in this area. We aim to develop a set of outcomes that can be used reliably for Māori and non-Māori to explore potential effects of this and other perinatal interventions on childhood wellbeing. These outcomes also have the potential to be used to explore differences in health trajectories for Māori and non-Māori children.


To perform a literature review on outcomes to predict indigenous child health.

Funding Notes

Funding scholarships are available for this project and can be discussed with the supervisor.

- What we are looking for in a successful applicant:

We are looking for Māori student candidates with an undergraduate degree in a health-related discipline.

Examples include (but are not limited to) obstetrics, neonatology, nursing, midwifery, nutrition and dietetics, paediatrics and medicine.

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