ArticleJournal of healthcare engineering2017
A Granular Ontology Model for Maternal and Child Health Information System.
Article in Journal of healthcare engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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.
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Who cites it
7 citing papers in PubMed.
- Situational analysis of the quality of maternal, child, and adolescent health data in the health districts of Thiès, Mbour, Kédougou, and Saraya in Senegal.BMC public health · 2025Article
- Optimized Continuity of Care Report on Nursing Compliance and Review: A Retrospective Study.Nursing reports (Pavia, Italy) · 2024Article
- Development and Testing Requirements for an Integrated Maternal and Child Health Information System in Iran: A Design Thinking Case Study.Methods of information in medicine · 2022Article
- The Effectiveness of the Capacity Building and Mentorship Program in Improving Evidence-Based Decision-making in the Amhara Region, Northwest Ethiopia: Difference-in-Differences Study.JMIR medical informatics · 2022Article
- Leveraging data and information systems on the sustainable development goals.International journal of medical informatics · 2021Article
- Improving quality and use of routine health information system data in low- and middle-income countries: A scoping review.PloS one · 2020Article
- Integrated Information System for Early Detection of Maternal Risk Factors Based on Continuum of Care Approach of Mother and Toddler Cohorts.Healthcare informatics research · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In several developing countries, maternal and child health indicators trail behind the international targets set by the UN as Millennium or Sustainable Development Goals. One of the reasons is poor and nonstandardized maternal health record keeping that affects data quality. Effective decision making to improve public healthcare depends essentially on the availability of reliable data. Therefore, the aim of this research is the design and development of the standard compliant data access model for maintaining maternal and child health data to enable the effective exchange of healthcare data. The proposed model is very granular and comprehensive in contrast with existing systems. To evaluate the effectiveness of the model, a web application was implemented and was reviewed by healthcare providers and expectant mothers. User feedback highlights the usefulness of the proposed approach as compared to traditional record-keeping techniques. It is anticipated that the proposed model will lay a foundation for a comprehensive maternal and child healthcare information system. This shall enable trend analysis for policy making to help accelerate the efforts for meeting global maternal and child health targets.
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Registered trials
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