ReviewBMJ global health2020
Lessons learned from the development and implementation of an electronic paediatric emergency and acute care database in Lilongwe, Malawi.
Review in BMJ global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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Who cites it
7 citing papers in PubMed.
- Investigating Strategies for Sustaining Modern Health Information Systems for Enhanced Care Delivery in Fragile Resource-Constrained Settings Through Electronic Medical Record Implementation in Haiti: Qualitative Study.Online journal of public health informatics · 2026Article
- Comprehensive assessment of pediatric acute and inpatient care at a tertiary referral hospital in Malawi: opportunities for quality improvement.BMJ paediatrics open · 2024Article
- Perceptions of pregnant women on antenatal care visit during their first trimester at area 25 health center in Lilongwe, Malawi - a qualitative study.BMC women's health · 2023Article
- Mortality by Admission Diagnosis in Children 1-60 Months of Age Admitted to a Tertiary Care Government Hospital in Malawi.The American journal of tropical medicine and hygiene · 2023Article
- The status of pediatric surgery in Malawi: a narrative mini-review.Frontiers in pediatrics · 2023Review
- Improving recognition and management of children with complicated severe acute malnutrition at a tertiary referral hospital in Malawi: a quality improvement initiative.Paediatrics and international child health · 2021Article
- Paediatric Emergency Triage, Assessment and Treatment (ETAT) - preparedness for implementation at primary care facilities in Malawi.Global health action · 2021Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
As the field of global child health increasingly focuses on inpatient and emergency care, there is broad recognition of the need for comprehensive, accurate data to guide decision-making at both patient and system levels. Limited financial and human resources present barriers to reliable and detailed clinical documentation at hospitals in low-and-middle-income countries (LMICs). Kamuzu Central Hospital (KCH) is a tertiary referral hospital in Malawi where the paediatric ward admits up to 3000 children per month. To improve availability of robust inpatient data, we collaboratively designed an acute care database on behalf of PACHIMAKE, a consortium of Malawi and US-based institutions formed to improve paediatric care at KCH. We assessed the existing health information systems at KCH, reviewed quality care metrics, engaged clinical providers and interviewed local stakeholders who would directly use the database or be involved in its collection. Based on the information gathered, we developed electronic forms collecting data at admission, follow-up and discharge for children admitted to the KCH paediatric wards. The forms record demographic information, basic medical history, clinical condition and pre-referral management; track diagnostic processes, including laboratory studies, imaging modalities and consults; and document the final diagnoses and disposition obtained from clinical files and corroborated through review of existing admission and death registries. Our experience with the creation of this database underscores the importance of fully assessing existing health information systems and involving all stakeholders early in the planning process to ensure meaningful and sustainable implementation.
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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.