- Midwives successfully completed training to use safe+natal at high rates: 80% passed proficiency tests on the first try, 98% after the second try.
- Detection of key pregnancy complications, particularly hypertensive disorders, increased.
- Successful referral rates to medical facilities for life-threatening conditions significantly increased.
“It was beautiful to hear my baby’s heartbeat.”
Expectant Guatemalan mother
Media
Emory Medicine Magazine. How a (married) couple of Emory professors invented a device to monitor fetal health with a smartphone app: Every Mother, Every Baby. Mary Loftus. Winter 2022.
National Institutes of Health, Eunice Kennedy Shriver National Institute of Child Health and Development. “Spotlight: Developing Mobile Health Solutions for Women in Guatemala.” Sept. 14, 2021.
National Institutes of Health, Fogarty International Center – Global Health Matters Newsletter Vol. 20 (No. 4). “mHealth app reduces LMIC pregnancy, delivery risks.” July/Aug 2021.
El Periodico [Guatemalan national newspaper]. “Wuku’ Kawoq, tecnología para evitar muertes maternas” [Wuku’ Kawoq, technology to prevent maternal deaths]. January 12, 2020.
El Periodico [Guatemalan national newspaper]. “Se reduce brecha de mortalidad materna en Chimaltenango, Referencias para asistencia hospitalaria aumentan gracias al uso de tecnología” [Maternal mortality gap in Chimaltenango reduced, Referrals for hospital assistance increase thanks to the use of technology]. May 20, 2019.
Prensa Libre [Guatemalan national newspaper]. “App Salva Vidas: La technología llega en auxilia de las comadronas” [App Saves Lives: The technology arrives to assist midwives]. Aug 26, 2018. pgs. 1, 14-17. Accompanied by online video, “Una app para control materno en Tecpán, Chimaltenango” [An app for maternal control in Tecpán, Chimaltenango].
MSNBC Global Citizen. “App Saves Lives of Maya Women in Guatemala.” Sept 5. 2017
Scientific Papers
2020 N Katebi, R Sameni, and GD Clifford. Deep Sequence Learning for Accurate Gestational Age Estimation from a $25 Doppler Device. ML4H 2020, NeurIPS.
2020 CEV Cuadros, F Marzbanrad, M Juarez, R Hall-Clifford, P Rohloff, and GD Clifford. Estimating birth weight from observed postnatal weights in a Guatemalan highland community. Physiological Measurement. https://doi.org/10.1088/1361-6579/ab7350
2020 M Juarez, Y Juarez, E Coyote, T Nguyen, C Shaw, R Hall-Clifford, G Clifford, and P Rohloff. Working with lay midwives to improve the detection of neonatal complications in rural Guatemala. BMJ Open Quality, 9(1). http://dx.doi.org/10.1136/bmjoq-2019-000775
2019 C Valderrama Cuadros, L Stroux, N Katebi, E Paljug, R Hall-Clifford, P Rohloff, F Marzbanrad, G Clifford. “An open source autocorrelation-based method for fetal heart rate estimation from one-dimensional Doppler ultrasound.” Physiological Measurement, 40(2):025005. https://doi.org/10.1088/1361-6579/ab033d
2018 B Martinez, E Coyote, R Hall-Clifford, M Juarez, AC Miller, A Francis CE Valderrama, L Stroux, GD Clifford, P Rohloff. mHealth intervention to improve the continuum of maternal and perinatal care in rural Guatemala: a pragmatic, randomized controlled feasibility trial. Reproductive Health, 15(1): 120, 12 pages. https://doi.org/10.1186/s12978-018-0554-z.
2018 CE Valderrama, F Marzbanrad, L Stroux, B Martinez, R Hall-Clifford, C Liu, N Katebi, P Rohloff, and GD Clifford. Improving the Quality of Point of Care Diagnostics with Real-Time Machine Learning in Low Literacy LMIC Settings: Full Paper. Proceedings of ACM SIGCAS Computing and Sustainable Societies (ACMSIGCAS-COMPASS2018). Article 4, 11 pages. https://doi.org/10.475/123_4.
2017 Martinez B, Hall-Clifford R, Coyote E, Stroux L, Valderrama CE, Aaron C, Francis A, Hendren C, Rohloff P, Clifford GD. Agile development of a smartphone app for perinatal monitoring in a resource-constrained setting. Journal of Health Informatics in Developing Countries, 11(1), 19 pages. http://www.jhidc.org/index.php/jhidc/article/view/158/212.
2016 L Stroux, B Martinez, E Coyote Ixen, N King, R Hall-Clifford, P Rohloff & GD Clifford. An mHealth monitoring system for traditional birth attendant-led antenatal risk assessment in rural Guatemala. Journal of Medical Engineering & Technology 40(7-8), 356–371. https://doi.org/10.1080/03091902.2016.1223196.
2014 L Stroux, NE King, S Fathima, R Hall-Clifford, P Rohloff, and GD Clifford. A low-cost perinatal monitoring system for use in rural Guatemala. Appropriate Healthcare Technologies for Low Resource Settings – AHT2014. IET Proceedings: The 8th International Conference – Promoting access to healthcare through technology, 4 pages. DOI: 10.1049/cp.2014.0777.
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