Maternal Patient Safety, CY P03 25 11

This work is an essential part of a larger PhD project essentially answering two broad questions:

• Is maternal care less safe for certain marginalised or other socioeconomic groups?
• What can be put in place (mainly from a data science perspective) to improve outcomes among certain marginalised groups?

The overall project will be broken down into a series of studies and we will employ various research methods for each.

For instance, we are currently employing literature reviewing methods to answer foundational questions which may steer the direction of the project, such as:

• Which groups may be best to focus on (e.g. have high rates of issues)?
• What are the key outcomes and issues in the area?
• Which groups have been neglected?
• What interventions have been trialled – and how can they be improved?

Using Connected Bradford (cBradford) we will begin to answer related questions such as:

• What are the rates of adverse outcomes among different socioeconomic groups across Bradford after adjusting for confounding variables?
• What may be some of the mechanisms that may explain why certain groups may have differing outcomes?

We also intend to use cBradford and other data to begin to develop solutions to the issue.

One such ‘intervention’ may be to create a data-drive tool which can predict the risk of maternal adverse events before they occur so clinicians can put things in place to stop them occurring before they do.

Ultimately, any new intervention will need to be developed in line with stakeholder (e.g. user, but also patient etc.) needs. This will therefore be another area of work in the PhD.

20/03/2025

2 years