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
Neotree is a potentially low-cost and highly cost-effective digital quality improvement tool to improve newborn care, morbidity and survival, while also providing quality data. This study contributes to limited economic evidence of mHealth tools in low-income and middle-income settings.
Authors
- Hannah Gannon (ORCID: https://orcid.org/0000-0002-5726-2752)
- Sophie Sutcliffe Goodman
- Yali Sassoon (ORCID: https://orcid.org/0009-0004-5908-9430)
- Aditi Rao (ORCID: https://orcid.org/0000-0002-0909-255X)
- Hassan Haghparast‐Bidgoli (ORCID: https://orcid.org/0000-0001-6365-2944)
- Tarisai Chiyaka (ORCID: https://orcid.org/0000-0001-7784-9238)
- Emma Wilson (ORCID: https://orcid.org/0000-0001-7091-2417)
- Simbarashe Chimhuya (ORCID: https://orcid.org/0000-0003-2833-5155)
- Karlos Madziva (ORCID: https://orcid.org/0009-0007-2379-0219)
- Felicity Fitzgerald (ORCID: https://orcid.org/0000-0001-9594-3228)
- Nushrat Khan
- Mario Cortina-Borja
- Tim Hull-Bailey
- Tom Palmer
Institutions
- Women's University in Africa (ZW)
- University of Zimbabwe (ZW)
- Great Ormond Street Hospital (GB)
- East London NHS Foundation Trust (GB)
- Biomedical Research and Training Institute (ZW)
- Maudsley Charity (GB)
- Harare Central Hospital (ZW)
- University College London (GB)
- Imperial College London (GB)
Publication Details
- Journal
- BMJ Global Health
- Published
- 2026-01-01
- DOI
- https://doi.org/10.1136/bmjgh-2024-016828
- Primary Topic
- Global Maternal and Child Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Wellcome Trust
- National Institute for Health and Care Research