# GO MOMS hybrid simulation model for labor and delivery care

> **NIH NIH R01** · STANFORD UNIVERSITY · 2020 · $236,550

## Abstract

Project summary
With the increasing maternal mortality in the USA, modalities to reverse this trend is an imperative.
Improvement in knowledge for individual health care workers and enhancement of team
performance, especially communication, has been clearly identified as a gap in providing quality
care. Simulation-based training as an educational tool is a proven entity for team performance
and communication; however, widespread dissemination of simulation technique is hampered by
the present model of on-site training by specialists. This project will evaluate the effectiveness of
a hybrid simulation program - combining online training (telesimulation) with a shortened in-
person training in lower resource hospitals. If successful, simulation-based training will be more
accessible to hospitals that have a high burden of populations that are affected disproportionately
by maternal morbidity and mortality, such as those with higher underserved minority and socio-
economically challenged populations and rural communities.

## Key facts

- **NIH application ID:** 10197693
- **Project number:** 3R01HD087425-04S1
- **Recipient organization:** STANFORD UNIVERSITY
- **Principal Investigator:** Henry Chong Lee
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $236,550
- **Award type:** 3
- **Project period:** 2016-12-05 → 2021-11-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10197693

## Citation

> US National Institutes of Health, RePORTER application 10197693, GO MOMS hybrid simulation model for labor and delivery care (3R01HD087425-04S1). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10197693. Licensed CC0.

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