ArticleJournal of medical engineering & technology
An mHealth monitoring system for traditional birth attendant-led antenatal risk assessment in rural Guatemala.
Article in Journal of medical engineering & technology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.
- Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes.Briefings in bioinformatics · 2021Pooled it
- mHealth intervention to improve the continuum of maternal and perinatal care in rural Guatemala: a pragmatic, randomized controlled feasibility trial.Reproductive health · 2018Trial
- Navigating strategies for intercultural maternal and newborn care in Latin America and the Caribbean: a scoping review.Health promotion international · 2026Article
- Real-time quality feedback on Doppler data for community midwives using edge-AI.Machine learning. Health · 2025Article
- Integrating Indigenous Maya practices and digital health tools to improve outcomes for Indigenous newborns in Guatemala: a community-based initiative.Global health action · 2025Article
- Chrononutrition in Gestational Diabetes: Toward Precision Timing in Maternal Care.Journal of personalized medicine · 2025Review
- Automated image transcription for perinatal blood pressure monitoring using mobile health technology.PLOS digital health · 2024Article
- Article
- The Impact of the Use of e-Partogram on Maternal and Perinatal Outcomes: A Scoping Review.Cureus · 2024Article
- Hierarchical Attentive Network for Gestational Age Estimation in Low-Resource Settings.IEEE journal of biomedical and health informatics · 2023Article
- Multi-omics and machine learning for the prevention and management of female reproductive health.Frontiers in endocrinology · 2023Review
- Use of mHealth tools to register birth outcomes in low-income and middle-income countries: a scoping review.BMJ open · 2022Article
- eHealth: A Survey of Architectures, Developments in mHealth, Security Concerns and Solutions.International journal of environmental research and public health · 2022Article
- Indigenous Women's Perspectives on Contraception in Rural Guatemala.Practicing anthropology · 2022Article
- CNN-Based LCD Transcription of Blood Pressure From a Mobile Phone Camera.Frontiers in artificial intelligence · 2021Article
- A review of fetal cardiac monitoring, with a focus on low- and middle-income countries.Physiological measurement · 2020Review
- Leveraging Technology to Improve Diabetes Care in Pregnancy.Clinical diabetes : a publication of the American Diabetes Association · 2020Article
- Estimating birth weight from observed postnatal weights in a Guatemalan highland community.Physiological measurement · 2020Article
- Obstetric care navigation: results of a quality improvement project to provide accompaniment to women for facility-based maternity care in rural Guatemala.BMJ quality & safety · 2020Article
- A Proxy for Detecting IUGR Based on Gestational Age Estimation in a Guatemalan Rural Population.Frontiers in artificial intelligence · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 3 countries.
Funding
Abstract
Limited funding for medical technology, low levels of education and poor infrastructure for delivering and maintaining technology severely limit medical decision support in low- and middle-income countries. Perinatal and maternal mortality is of particular concern with millions dying every year from potentially treatable conditions. Guatemala has one of the worst maternal mortality ratios, the highest incidence of intra-uterine growth restriction (IUGR), and one of the lowest gross national incomes per capita within Latin America. To address the lack of decision support in rural Guatemala, a smartphone-based system is proposed including peripheral sensors, such as a handheld Doppler for the identification of foetal compromise. Designed for use by illiterate birth attendants, the system uses pictograms, audio guidance, local and cloud processing, SMS alerts and voice calling. The initial prototype was evaluated on 22 women in highland Guatemala. Results were fed back into the refinement of the system, currently undergoing RCT evaluation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.