| Literature DB >> 35060069 |
Marissa McKool1, Sarah Han2, Jaspal Sandhu2, Cassondra Marshall2, Sylvia Guendelman2, Kim Harley2.
Abstract
PURPOSE: This commentary proposes a new direction to train the MCH workforce by leveraging today's rapidly changing innovation and technology to address persistent health inequities. DESCRIPTION: We outline the creation of an MCH technology and innovation training pipeline developed by harnessing creative funding opportunities, diversifying training modalities, and expanding partnerships beyond traditional academic-practice partners, that be replicated and adapted by other academic programs. ASSESSMENT: Technology and innovation will continue to be a growing intersection between health and equity, and we must create a robust pipeline of MCH leaders prepared to collaborate with entrepreneurial and innovation leaders.Entities:
Keywords: Innovation; MCH; Technology; Training pipeline; Workforce development
Mesh:
Year: 2022 PMID: 35060069 PMCID: PMC8775151 DOI: 10.1007/s10995-021-03371-5
Source DB: PubMed Journal: Matern Child Health J ISSN: 1092-7875
Wallace investments in research and training, May 2020–August 2021
| Funding model | Core activity | Wallace investment range | No. of investments | Catalyzed funding |
|---|---|---|---|---|
| Seed funding | Applied research | $5000–$50,000 | 5 | Ongoing external research grants |
| Internship matching | Field training | $5000–$10,000 | 11 | Matched funding from 6 host organizationsa |
| External grants | Academic training | $14,000 | 1 | Funding from campus grant |
aThree host organizations had more than one student placement. Placements at two community-based organizations were fully funded by the Wallace Center due to the organization’s limited financial resources
MCH Applied Research Training Opportunities Across Three Categories of Innovation
| Topic area | Project(s) | Trainee | Partner |
|---|---|---|---|
| Integrating technology into care | |||
| Telehealth | Assessing facilitators and barriers to telehealth use during the COVID-19 pandemic among maternal fetal medicine providers | MCH MPH student | Stanford School of Medicine |
| Remote patient monitoring (RPM) | Patient acceptability study for postpartum at home blood pressure RPM for patients with hypertensive disorders of pregnancy | MCH MPH student | County Hospital |
| Using technology to gain new insights | |||
| Qualitative data from social media | Assessing Reddit’s utility to conduct family planning and reproductive health research through machine learning methodologies | Social welfare PhD student | |
| Applying infodemiology principles to search engine data | Using Google Applied Program Interfaces (APIs) to characterize internet searches related to family planning, reproductive health, nutrition, mental health, and youth homelessness | DrPH student Undergraduate PH students Undergraduate data science students | School of Information, Electrical Engineering and Computer Science Department, Data Science Initiative, Bixby Center |
| Big data from mobile health apps | Leveraging existing data from large health tracking apps and launching user surveys, to study diverse and hard-to-reach populations and research understudied health outcomes such as menstruation | MCH MPH Student Electrical engineering and computer science PhD student | Leading mHealth App company with a commitment to data privacy, ethics, and research |
| Defining innovation in public health | |||
| Community-based care | Leading strategic planning, implementation science, and evaluation projects to set a research agenda on community-doula care and to provide evidence to inform intervention strategy | MCH MPH student | Community doulas, doula clients, researchers, clinicians, policy advocates, payers |
| Imaging alternative futures | Blending futures thinking, racial equity, and human-centered design to imagine alternative futures for maternal health and the role of emerging technology, from the doula perspective | Undergraduate student MCH MPH student | Doulas, School of Social Welfare |
| Discrete choice experiment | Developing a digital survey tool using a discrete choice experience to elicit real-time adolescent preferences for contraceptive methods and services that can be used in the absence of revealed preference data in clinical settings | DrPH student | |
This table does include projects from the MPH summer internship placement program