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Team perinatal presentation
- 1. Introducing MoyoMom A Peer-to-Peer Support Network for Urban African American Mothers in Low-to- Middle Income Communities Throughout Atlanta
- 2. MoyoMom Team Zik Da Camilo Valderrama Amanda Vasi Prathamesh Prabhudesai Jacob Zelko
- 3. Introduction
- 4. What is Maternal Mortality? The death of a woman while pregnant or following birth up to 42 days. Maternal Mortality by Cause of Death
- 5. What influences maternal health & death?
- 6. Maternal Mortality in the U.S. ● National maternal mortality ratio: ○ Black women- 43.5 per 100,000 ○ White women- 12.7 per 100,000 ● Top 13 countries with worst maternal mortality When the State Fails: Maternal Mortality and Racial Disparity in Georgia. (2018, April 16). Retrieved April 19, 2018, from https://law.yale.edu/yls-today/news/when-state-fails-maternal- mortality-and-racial-disparity-georgia
- 7. Maternal Mortality in Georgia ● GA Average ○ White women→ 27.1 per 100,000 live births ○ Black women → 62.1 per 100,00 live births ● Racial disparities
- 8. Barriers of access to quality healthcare ● Health Policy ○ No universal healthcare ○ Transportation ○ Available appointments ● Socioeconomic status ● Cultural norms ● Institutionalized racism
- 9. Problem Statement Pregnant African American women in urban Atlanta, Georgia are experiencing high maternal mortality rates due to inadequate access to healthcare resources and support that are conducive to positive maternal health outcomes.
- 10. Objective ● To create a peer-to-peer support network ○ Distribution of resources ■ Medical knowledge ■ Information ■ Support
- 11. Technology
- 13. Video Demo
- 14. App features ● Making groups ○ Groups defined for common pregnancy issues ● Public chat ○ Users interact and exchange their experience ○ Schedule group meeting
- 15. Admin app features ● Talk directly with moms ○ Moms can ask questions regarding their pregnancy ● Monitor groups ○ Address common problems of the target population ● Community ○ Midwife is aware of what mothers are discussing
- 16. Analytics
- 17. Text mining Communication over encrypted channel Local storage of text inputs: ● All text inputs with timestamp Sync with user profile on cloud: ● Local storage deleted after sync ● De-identification
- 18. Data Analytics ● Flagging users for inappropriate communication ● Urgent care ● Sentiment analysis ● Health Literacy tracking and dynamic grouping
- 19. Urgent Care
- 23. User grouping and network
- 24. Pilot Components
- 25. Logic model
- 26. Implementation steps 1. Needs Assessment 2. Preliminary Promotion 3. Implementation 4. Evaluation and Analysis
- 27. Work Plan
- 28. Budget No. Name Units Expenses 1. Giftcards 5- 10 $500.00- $1,000.00 2. Advertisement N/A $1,000.00 3. Administration N/A $2,000.00 4. Miscellaneous N/A N/A 4. Total before contingency N/A 5. Contingency $2,000.00 Total Expenses $6,000.00
- 29. Pilot Evaluation
- 30. Outcome Components 1. User Reaction 2. Mobilization/Outreach 3. Knowledge 4. Behavior
- 31. User Reaction Short-term: Users will engage positively with the app and perceive the support and information received as important Long-term: User will develop a reliable, long-term relationship with the app and other users for support and information
- 32. Mobilization/Outreach Short-term: Referred pregnant women or new mothers join and become users of the app Long-term: Referred users also refer other members of the community to join the app and continue using the app after pregnancy
- 33. Knowledge Short-term: Women will receive information on maternal health resources and prenatal care from other users in the app Long-term: Women are more aware of the importance of prenatal care and actively seek and are able to better access resources and utilize information.
- 34. Behavior Short-term: Users access information and support from each other in the form of private and group messaging and usage of interactive community app Long-term: Users integrate the information from users and their peers (with supervision of moderator) into practice and utilize the resources they have learned from through the app Users actively use the app on a regular basis for support.
- 35. In-app Survey after 6 weeks of joining app How often do you use the app per week? ● Multiple times a day (7+) ● Everyday (7) ● Almost everyday (4-6) ● Less than 5 times per week (1-4) ● Never Did the app allow you to better connect to resources and to support? ● Yes, No, Somewhat, A little, Neutral Has the app improved your knowledge and level of community support? ● Yes, No, Somewhat, Mostly, A little, Neutral How would you rate the importance of proper information on prenatal care and peer support? ● (Extremely important, important, neutral, Somewhat important, Not at all important) Would you recommend this app to a friend or neighbor?
- 36. In-app Survey after 3 months of joining app How often do you use the app per week? ● Multiple times a day (7+) ● Everyday (7) ● Almost everyday (4-6) ● Less than 5 times per week (1-4) ● Never Did the app allow you to better connect to resources and to support? ● Yes, No, Somewhat, A little, Neutral Has the app improved your knowledge and level of community support? ● Yes, No, Somewhat, Mostly, A little, Neutral How satisfied are you with this app? ● Very satisfied, satisfied, somewhat satisfied, unsatisfied, very unsatisfied, neutral What are suggestions you have to improve your experience on this app? ● Text box
- 37. In-app Survey after 6 weeks of expected due date How often do you use the app per week? ● Multiple times a day (7+) ● Everyday (7) ● Almost everyday (4-6) ● Less than 5 times per week (1-4) ● Never On a scale of 1 (highest) and 5 (lowest), how much do you contribute this app to your success through the pregnancy and labor process? ● 1, 2, 3, 4,5 Do you feel like this app has increased pregnant women’s access to maternal health resources and support? ● Yes, No, Somewhat, Mostly, A little, Neutral Have you and/or are you interested in giving continued support to new users in the app? ● Yes, No What are suggestions you have to improve your experience on this app? ● Text box
- 39. Conclusion
- 40. Rationale for innovation ● Social Network for women ● Medical moderator and groups can spread quality medical information ○ natural language processing Sustainability ● Easy to expand coverage → users only requires smartphone
- 41. Limitation ● App would not offer medical advice ● Users would get experience-based recommendation Scalability ● Possibility for future expansion
- 42. Zik Da Camillo Valderrama Amanda Vasi Prathamesh Prabhudesai Jacob Zelko MoyoMom Team With Thanks To… Dr. Gari Clifford, Dr. Rachel Hall-Clifford, Dr. Cheryl Franklin, Dr. Herman Taylor, Clifford Lab App Developers (Chris Aaron, Aaron Francis, Tony Nguyen, Chris Myers, Al Pongos).
Editor's Notes
- The WHO defines maternal death as the death of a women while pregnant or following birth up to 42 days. MM by cause of death include cardiac, hemorrhage, ect. These are according to death certificates. There are many underlying causes that are not mentioned. That graph here shows that most women die one month after childbirth. That’s associated with inadequate postpartum care, and other pregnancy related complications. Most cases of maternal deaths are preventable with access to prenatal care during pregnancy, skilled care during labor, and care and support throughout and following the pregnancy process are crucial in the prevention of unnecessary maternal deaths.
- Nationally, the maternal mortality ratio is 43.5 deaths per 100,000 live births for Black women and 12.7 per White women. The U.S. is one of the 13 countries where maternal mortality is worse now than it was 15 years ago. Maternal health and death are influenced by socioeconomic, cultural, and political environments, which are shaped by policy-level decisions and state-level structures
- MMR from 2010- 2011 was 23.2 per 1000,000 live birth but it nearly doubled to 43.6 in 2013. According to Kaiser family report, Georgia is also the 5th poorest state in the U.S., a situation which disproportionately impacts Black communities. Research has shown that the impact of race on health stems largely from differences in access to resources and opportunities that can hurt or enhance health. In 2013, GA ranked 50, but as of 2017, it is at 48.
- Low health literacy is associated with poor health outcomes. According to the National Assessment of Adult Literacy, nearly 36% of US adults have inadequate health literacy. Socioeconomic status include education- health literacy, occupation, income (low/high) determine the standard of living, also constituting to whether a person or family will have health insurance.
- Care Model for Perinatal Health. (n.d.). Retrieved April 18, 2018, from http://www.labestbabies.org/care-quality/care-model-perinatal-health
- Amanda
- Camilo
- camilo
- Prathamesh Data will be encoded to protect users’ identity deidentif Collect data and store it on a database Ensure critical users’ personal data are not easily access by extrangers Assess users’ pregnancy illiteracy to identify critical user who need more support
- prathamesh
- prathamesh
- prathamesh
- prathamesh
- prathamesh
- amanda
- In order to see how communities would like to use our app to meet their needs, we will conduct focus groups and user groups that will help us perfect and finalize our product. After receiving that feedback, we will beginning promoting the app within the greater community, especially African-American churches. From these promotions, we will recruit and gather a cohort of pregnant women committed and interested in using the app for at least 6 months. The data we will be receiving from this cohort we will analyze and evaluate in order to see what benefits the app provided and how it could be improved for the 2nd round of pilot implementation.
- Jacob