ArticleLearning health systems2023
Development and implementation experience of a learning healthcare system for facility based newborn care in low resource settings: The Neotree.
Article in Learning health systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Implementation strategies and outcome measures for advancing learning health systems: a mixed methods systematic review.Health research policy and systems · 2023Pooled it
- Leading Learning Health Systems in the Asia Pacific: A Mixed-Method Evaluation of Health Professionals' Experiences in a Longitudinal Leadership Program.Learning health systems · 2026Article
- Antimicrobial stewardship in UK special care baby units: gaps in research and future directions.JAC-antimicrobial resistance · 2026Review
- Effect of an integrated intervention on the availability and completeness of Robson ten group classification system-related data in district hospitals in Bangladesh.Journal of global health · 2026Article
- Impact and cost-effectiveness of Neotree, a digital data capture and decision support tool designed to improve neonatal survival in Zimbabwe: an interrupted time series analysis and economic evaluation.BMJ global health · 2026Article
- Impact analysis and evaluation of the Ethiopian Neonatal Network.BMJ global health · 2026Article
- Evaluating health organization readiness for implementing a learning health system: a scoping review.Health research policy and systems · 2025Article
- Adapting a digital quality improvement system (Neotree) for newborn care in primary health centres and community hospitals: a mixed-methods implementation study in Malawi.Global health action · 2025Article
- Predicting risk of early-onset sepsis in low-resource neonatal units using routine healthcare data: development and evaluation of multivariable statistical and machine learning models.BMJ paediatrics open · 2025Article
- A scoping review and modelling of predictors of an abnormal Thompson score in term neonates in low-resource settings.Scientific reports · 2025Article
- Clinical prediction models to diagnose neonatal sepsis in low-income and middle-income countries: a scoping review.BMJ global health · 2025Article
- Assessing the Use of Neonatal Sepsis Guidelines and Antibiotic Prescription With Large-Scale Prospective Data From Zimbabwe and Malawi.Journal of the Pediatric Infectious Diseases Society · 2025Article
- Review
- Progress with the Learning Health System 2.0: a rapid review of Learning Health Systems' responses to pandemics and climate change.BMC medicine · 2024Review
- Development and Implementation of Digital Diagnostic Algorithms for Neonatal Units in Zimbabwe and Malawi: Development and Usability Study.JMIR formative research · 2024Article
- Effects of the COVID-19 pandemic on the outcomes of HIV-exposed neonates: a Zimbabwean tertiary hospital experience.BMC pediatrics · 2024Article
- Development and Pilot Implementation of Neotree, a Digital Quality Improvement Tool Designed to Improve Newborn Care and Survival in 3 Hospitals in Malawi and Zimbabwe: Cost Analysis Study.JMIR mHealth and uHealth · 2023Article
- Diagnosing early-onset neonatal sepsis in low-resource settings: development of a multivariable prediction model.Archives of disease in childhood · 2023Article
- Editorial: Digital interventions and serious mobile games for health in low- and middle-income countries (LMICs).Frontiers in public health · 2023Article
- Development and implementation experience of a learning healthcare system for facility based newborn care in low resource settings: The Neotree.Learning health systems · 2023Article
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Authors and funding
17 authors.
Funding
Abstract
Introduction: Improving peri- and postnatal facility-based care in low-resource settings (LRS) could save over 6000 babies' lives per day. Most of the annual 2.4 million neonatal deaths and 2 million stillbirths occur in healthcare facilities in LRS and are preventable through the implementation of cost-effective, simple, evidence-based interventions. However, their implementation is challenging in healthcare systems where one in four babies admitted to neonatal units die. In high-resource settings healthcare systems strengthening is increasingly delivered via learning healthcare systems to optimise care quality, but this approach is rare in LRS. Methods: Since 2014 we have worked in Bangladesh, Malawi, Zimbabwe, and the UK to co-develop and pilot the Neotree system: an android application with accompanying data visualisation, linkage, and export. Its low-cost hardware and state-of-the-art software are used to support healthcare professionals to improve postnatal care at the bedside and to provide insights into population health trends. Here we summarise the formative conceptualisation, development, and preliminary implementation experience of the Neotree. Results: Data thus far from ~18 000 babies, 400 healthcare professionals in four hospitals (two in Zimbabwe, two in Malawi) show high acceptability, feasibility, usability, and improvements in healthcare professionals' ability to deliver newborn care. The data also highlight gaps in knowledge in newborn care and quality improvement. Implementation has been resilient and informative during external crises, for example, coronavirus disease 2019 (COVID-19) pandemic. We have demonstrated evidence of improvements in clinical care and use of data for Quality Improvement (QI) projects. Conclusion: Human-centred digital development of a QI system for newborn care has demonstrated the potential of a sustainable learning healthcare system to improve newborn care and outcomes in LRS. Pilot implementation evaluation is ongoing in three of the four aforementioned hospitals (two in Zimbabwe and one in Malawi) and a larger scale clinical cost effectiveness trial is planned.
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