Do you:
- Live with 2 or more long-term physical / mental health conditions (examples), AND
- Pregnant in the last 5 years / planning a pregnancy?

What mother and baby outcomes are important to you?
Take part in this survey to help share future research: 


What is this study about?
We want to find out what happens (outcomes) to mother and baby if the pregnant woman have 2 or more long-term health conditions, such as diabetes, high blood pressure, depression or anxiety. But first, we want to find out what outcomes are important to you. This ensures that researchers measure what matters to you.

The survey asks you to rate on a scale of 1 to 9, how important are each outcomes. 
All outcomes are important, but we need your help to agree on a set of outcomes that are so important, they should be reported in all studies. 
This is a Core Outcome Set. (Video of what is a Core Outcome Set).


What does taking part involve?
Take part in a 20 minutes survey online. The survey will close mid June 2022 (but may extend depending on responses). Your data will be kept confidential. 

After the first survey, you will be invited to 2 follow up surveys. In the follow up surveys, we will share with you an overall anonymised ratings of each outcomes by all participants. Sometimes seeing how other people rated an outcome may make you change your mind. You are not obliged to take part in the follow up surveys, but it will really help us agree on the Core Outcome Set. Researchers will be guided by the Core Outcome Set when they design future studies.


Who organised the study?
MuM-PreDiCT is a group of 8 UK universities. Our aim is to improve care for pregnant women with 2 or more long-term conditions through research. 
MuM-PreDiCT is funded by MRC-NIHR Strategic Priorities Fund (SPF): Tackling multimorbidity at scale (grant number MR/W014432/1).
This Core Outcome Set study has been reviewed and approved by the University of Birmingham (ERN20_1264).


Contact for queries
Dr Siang Ing Lee, Clinical Research Fellow, MuM-PreDiCT: s.i.lee@bham.ac.uk
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