Christian Suharlim

Christian Suharlim

Dec 08, 2014

Group 6 Copy 193
0

More details on our research

MP: Hey there, your research sounds motivating. Could you elaborate on the approach?

-------

Hi MP!

Thanks for your interest!  

The current mathematical model people use to predict baby weight is called the Johnson-Toshasch Formula, which is highly inaccurate and unable to predict low birth weight and macrosomia (too big) babies, especially in Asian population.  

To remedy this, we are planning to create a more precise and user-friendly formula, and develop clinical pathways for midwives and nurses in the community health centers. They will be able to immediately practice in a manner that improves outcome (refer high-risk pregnancies) and reduce cost (retain-low risk pregnancies). This will be beneficial for the mothers, babies, and the entire health system. 

We plan to work with secondary data. I currently have data from 350 pregnancies and deliveries in Indonesian primary care, and was able to develop more than 10 mathematical models that already work better than Johnson’s Formula.  

What we plan to do is to collect more than 2500 pregnancy data from medical record in hospitals and primary care centers in Indonesia, to have the statistical power to detect and separate high risk pregnancies. This data collection will also allow us to conduct model selection processes. This means we can pinpoint THE best model that yield the best outcome and highest cost savings – among all the mathematical models we generate. 

I start with Indonesia because I am familiar with the system and are able to quickly respond to any field problems in data collection. However, once the model is generated, it is very easy to adjust the model to reflect conditions in other countries by simply using data other people has published.  

I hope this clears out the confusion. If you need more information I’d be happy to share! 

Best regards  

Chris

0 comment

Join the conversation!Sign In

About This Project

Maternal and child mortality in Southeast Asian countries is still very high, especially in poor and rural areas. The goal of our study is to develop user-friendly mathematical model to improve referral of high-risk term pregnancies in resource-poor settings; creating a more resource-efficient health system, while delivering better health outcomes to mothers and children.
Blast off!

Browse Other Projects on Experiment

Related Projects

Can we predict whether an athlete will sustain an ACL tear?

Despite consistent investigation, the risk factors responsible for non-contact Anterior Cruciate Ligament...

Can a rabies vaccination booster save African Wild Dogs?

Rabies is one of the greatest threats to the continued survival of the African wild dog (Lycaon pictus...

A randomized and controlled trial to examine the impact of lingual frenotomy on bottle feeding mechanics

Some babies are born with tongue-tie where an unusually short or tight band of tissue tethers the bottom...

Backer Badge Funded

Add a comment