Employing learning health system principles to advance research on severe neonatal and paediatric illness in Kenya.
COVID-19
/ epidemiology
Child
Child Health Services
/ standards
Child, Preschool
Delivery of Health Care
/ standards
Developing Countries
Diarrhea
/ epidemiology
Health Services Accessibility
/ standards
Health Services Research
Humans
Infant
Infant, Newborn
Kenya
/ epidemiology
Malaria
/ epidemiology
Pandemics
Pneumonia
/ epidemiology
Quality Improvement
SARS-CoV-2
child health
health services research
health systems evaluation
paediatrics
Journal
BMJ global health
ISSN: 2059-7908
Titre abrégé: BMJ Glob Health
Pays: England
ID NLM: 101685275
Informations de publication
Date de publication:
03 2021
03 2021
Historique:
received:
08
02
2021
revised:
03
03
2021
accepted:
07
03
2021
entrez:
24
3
2021
pubmed:
25
3
2021
medline:
2
4
2021
Statut:
ppublish
Résumé
We have worked to develop a Clinical Information Network (CIN) in Kenya as an early form of learning health systems (LHS) focused on paediatric and neonatal care that now spans 22 hospitals. CIN's aim was to examine important outcomes of hospitalisation at scale, identify and ultimately solve practical problems of service delivery, drive improvements in quality and test interventions. By including multiple routine settings in research, we aimed to promote generalisability of findings and demonstrate potential efficiencies derived from LHS. We illustrate the nature and range of research CIN has supported over the past 7 years as a form of LHS. Clinically, this has largely focused on common, serious paediatric illnesses such as pneumonia, malaria and diarrhoea with dehydration with recent extensions to neonatal illnesses. CIN also enables examination of the quality of care, for example that provided to children with severe malnutrition and the challenges encountered in routine settings in adopting simple technologies (pulse oximetry) and more advanced diagnostics (eg, Xpert MTB/RIF). Although regular feedback to hospitals has been associated with some improvements in quality data continue to highlight system challenges that undermine provision of basic, quality care (eg, poor access to blood glucose testing and routine microbiology). These challenges include those associated with increased mortality risk (eg, delays in blood transfusion). Using the same data the CIN platform has enabled conduct of randomised trials and supports malaria vaccine and most recently COVID-19 surveillance. Employing LHS principles has meant engaging front-line workers, clinical managers and national stakeholders throughout. Our experience suggests LHS can be developed in low and middle-income countries that efficiently enable contextually appropriate research and contribute to strengthening of health services and research systems.
Identifiants
pubmed: 33758014
pii: bmjgh-2021-005300
doi: 10.1136/bmjgh-2021-005300
pmc: PMC7993294
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Review
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Wellcome Trust
ID : 207522/Z/17/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 207522
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 097170
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R006083/1
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 092654
Pays : United Kingdom
Informations de copyright
© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.
Déclaration de conflit d'intérêts
Competing interests: None declared.
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