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New Working Group on Maternal & Child Health, please join

Dear Colleagues,
I would like to propose to start a Maternal Child Health Working group. who is interested to join? Please find description below
Improving the well-being of mothers, infants, and children is an important public health goal across the world. Their well-being determines the health of the next generation and can help predict future public health challenges for families, communities, and the health care system. The Global Research in Pediatric project funded by the European Commission, the International Society for Pharmaco-epidemiology and the FDA demonstrated that there is an urgent need to build research capacity to better exploit the evidence that is being compiled in real life. Especially in these vulnerable groups, which are often excluded from clinical trials and where most drugs are used off label, data generated in routine health care should be utilized. Data should be made actionable and provide evidence that can support mothers, parents and health care providers and public health officials to make better informed decisions. However, there are several methodological challenges that are related to

  • Linkage of mothers and their children in health care databases
  • Estimation of gestational age and pregnancy in health care databases
  • Long-term follow-up of children
  • Pregnancy and neonatal outcome phenotyping in health care databases
  • Exposure & confounder patterns in children: dose and duration of drugs and co-morbidities
    The OHDSI maternal child health group aims to specifically address:
  • Methods & validation for mother-child linkage in health care databases
  • Designs, methods and implementation of multisite drug utilization studies and vaccine coverage in mothers and children
  • Estimation of recurrent/chronic disease incidence and prevalence in children and mothers using health care databases
  • Methods and designs for maternal drug/vaccine exposure and pediatric drug/vaccine exposure outcome studies (safety & effectiveness)
    The OHDSI MCH group will leverage content expertise from the Global Research in Pediatrics network of Excellence (www.grip-network.org) the ADVANCE project (www.advance-vaccines.eu) and the GAIA project (http://gaia-consortium.net) and bridge with the ISPE Pediatrics Special Interest Group the Vaccine Special Interest Group and the Pregnancy Special Interest Group. Several R programs and tools (ontologies) were developed in GRIP and ADVANCE that might be brought into the community. As this is an application domain in high need of actionable data, it envisions to actively collaborate with various other OHDSI (methods) working groups.
2 Likes

Hi @Miriam2, count me in!

Hi Miriam,

I would be interested in participating. Jamie Weaver and I worked together on the maternal offspring linkage study.

Thank you.
Jill Hardin

Hi Miriam,
would love to join. @Dymshyts and I had some experience in gestational age estimation which was quite challenging indeed.
Also can help with all kinds of vocabulary work.

Hi @Miriam2,
Definitely, vocabulary work is one of the crucial part of every OHDSI study.
So I’m in!

Hi @Miriam2 !
Hope my experience in vocabulary work and study designs will be useful, so count me in!

I am interested in this topic too! please count me in.

I would be interested.
Here is my related change request in CDM repo

@Vojtech_Huser:

Sounds like a THEMIS request, doesn’t it?

Hi James
Thank you for your interest, I will now set up the WIKI page and start organizing calls, what would be a good frequency for you? Would you want to co-chair with me?
Best wishes, Miriam

I am also interested. Please count me in.

Hi @Miriam2,
I’d be happy to co-chair this with you, thank you, although I won’t be able to take on this responsibility until the new year. In the meantime, I think a monthly meeting would be sufficient until we know what folks want to accomplish, have addressed the feasibility of these goals, and some momentum has built. Thursdays or Friday mornings EST could work for me but let’s see what works best for the most people considering their time zones. You could try a doodle: https://doodle.com/
Best,
Jamie

Hi @Miriam2, I know I’m a bit late to the party, but I would love to join this group.

I am very happy to see this group start. I have been working with Dr. Dyann Daley, pediatric anesthesiologist, and others where the concept (not OMOP concept!) has come up of a ‘child abuse phenotype’ or phenotype of injuries and most frequent comorbidities like asthma that might be meaningful. I think interest on precision public health in Maternal and Child Health cohort by Gates Foundation and otherwise have shown to me there is a lot of possibility in OHDSI community for meaningful research in this area (vs traditional comparative effectiveness in other cohorts).

Hi Julie, March 30 we will have the next meeting, we have just posted an agenda on the Wiki page
Welcome!
Miriam

1 Like

Good morning Miriam and all,
If it is not too late, I would like to join this special interest group. I am a pediatrician and epidemiologist with experience and interest in several of the group aims, and I would love to meet and collaborate with the rest of the folks in the group. I am located in Buenos Aires, Argentina. Are regular meetings taking place?
Kind regards,
Andrea

Friends:

Not sure how active this Working Group actually is. We are looking for good reproducible OMOP-compatible pregnancy algorithms. Have you guys made any progress along those lines?

An algorithm for Inferring pregnancy episodes has been developed, validated, and published: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0192033. It can be implemented with this: https://github.com/OHDSI/PhenotypeLibrary/tree/master/pregnancy%20episodes%20and%20outcomes.

@Jill_Hardin and I have done some work developing and validating an algorithm for identifying mother-infant linkages, but unfortunately it’s been put aside for a while. Given the advances in the FeatureExtraction package and some new info on mother-infant linkages from some data vendors, I’ll likely have to considerably overhaul at least some of this work. Stay tuned.

1 Like

Hi, @jweave17
Thank you for developing and publishing this algorithm. But I have an error trying to install it in R:

Package is not available (for R version 3.5.1)

Does your algorithm support the latest version of R?

hi @zhuk,

Althuogh I’d like to take credit for the pregnancy episodes algorithm, I can’t since it wasn’t my my doing. About installing it, try this approach if you haven’t already: Clone the PhenotypeLibrary repository your local directory, then run install.packages("/PhenotypeLibrary/pregnancy episodes and outcomes/, repos=NULL, type="source).

If this fails, please let me know and we’ll troubleshoot.

t