Global, regional, national estimates of induction of labour: levels and trends

Research Opportunity
PhD, Masters by Research
Location
Burnet Institute
Primary Supervisor Email Number Webpage
Dr Joshua Vogel joshua.vogel@burnet.edu.au
Co-supervisor Email Number Webpage
Prof Caroline Homer caroline.homer@burnet.edu.au
Dr Alyce Wilson alyce.wilson@burnet.edu.au

Summary In this project, a student will conduct a systematic review of available data on use of labour induction to assess levels and trends in induction use worldwide. Depending on data availability, methods of labour induction, effects on health outcomes and expenditure could also be explored.

Project Details

Induction of labour is a common practice for women in high-income countries—accounting for nearly a third of all births in Australia. While there are less population-based data on the use of laboyr induction in low- and middle-income countries (LMICs), some large observational studies have shown induction rates similar to those of high-income countries. There is also evidence to suggest induction use is rapidly increasing in some LMICs. Over-use or inappropriate use of labour induction is probably contributing to rising rates of caesarean section, avoidable maternal and fetal harm and unnecessary health expenditure. Currently there are no estimates at global or regional levels (or for many LMICs) on the use of labour induction, though similar estimates exist for caesarean section.

In this project, a student will conduct a systematic review of available data on use of labour induction to assess levels and trends in induction use worldwide. Depending on data availability, methods of labour induction, effects on health outcomes and expenditure could also be explored.

The student will work with the Global Women’s and Newborn’s Health Group at the Burnet Institute in Melbourne (primarily desk-based research). This project will allow the student to gain experience in global maternal and perinatal health epidemiology, systematic review and quantitative analysis methodologies, with a view to a scientific publication.



Faculty Research Themes

Child Health

School Research Themes

Data science, health metrics and disease modeling



Research Opportunities

PhD, Masters by Research
Students who are interested in joining this project will need to consider their elegibility as well as other requirements before contacting the supervisor of this research

Graduate Research application

Honours application

Key Contact

For further information about this research, please contact a supervisor.

Research Node

Burnet Institute

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