Naomi Muinga
Contact information
Research groups
Naomi Muinga
PhD Student
Naomi Muinga is a PhD Student based in Nairobi, Kenya at the KEMRI/Wellcome Trust Research Programme. She has interests in various aspects of health informatics such as the use of technology in access to health information by health workers and digital health systems.
Present work focuses applying a Human Centered Design (HCD) approach to various projects. She has worked with the LIFE project team to develop and test a 3D mobile app for health workers to teach them how to manage medical emergencies while applying the HCD principles.
Current work involves designing a paper-based newborn monitoring chart using HCD approach and evaluating its uptake in hospitals. This work is embedded in the Clinical Information Network for Newborns (CIN-N). CIN-N is a partnership between researchers, the Kenyan Ministry of Health, Kenya Paedriatic Association, and county hospitals providing a research database of patient-level data from all neonatal admissions upon discharge.
Recent publications
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Development of a small and sick newborn clinical audit tool and its implementation guide using a human-centred design approach newborn clinical audit process and design.
Ogola M. et al, (2023), PLOS global public health, 3
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Evaluating the documentation of vital signs following implementation of a new comprehensive newborn monitoring chart in 19 hospitals in Kenya: A time series analysis.
Muinga N. et al, (2023), PLOS global public health, 3
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The hidden emotional labour behind ensuring the social value of research: Experiences of frontline health policy and systems researchers based in Kenya during COVID-19.
Nzinga J. et al, (2023), PLOS global public health, 3
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External validation of inpatient neonatal mortality prediction models in high-mortality settings
Tuti T. et al, (2022), BMC Medicine, 20
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Lessons from the design, development and implementation of a three-dimensional (3D) neonatal resuscitation training smartphone application: Life-saving Instruction for Emergencies (LIFE app)
Wanyama C. et al, (2022), Advances in Simulation, 7