Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Oxford University’s LIFE project has launched a new set of app-based training scenarios that help healthcare workers in Africa safely manage and treat cases of children with suspected COVID-19

Drawing of a nurse wearing a face mask

Life-saving Instruction for Emergencies (LIFE) is a smartphone-based virtual learning platform that allows healthcare workers to access high quality medical training in low-resource settings. Developed by doctors, nurses and researchers at the KEMRI-Wellcome Trust Research Programme (KWTRP) in Kenya and the University of Oxford, the platform has now launched new training scenarios to help healthcare workers in Africa safely deliver care to children with suspected COVID-19.

LIFE allows healthcare workers to enter a realistic 3D virtual hospital on their own smartphones, allowing them to train anywhere, anytime. In low-resource settings such as Kenya, access to simulation training can be difficult and expensive, so using their own smartphones to train could enable more healthcare workers to receive the high-quality training they need to save lives.

Neonatal resuscitation training delivered through the LIFE smartphone app has been rolled out to more than 5,000 healthcare workers through partnerships with medical and nursing schools and professional organisations such as the Kenya Paediatric Association and the Nursing Council of Kenya. This new update to the LIFE app adds three new training scenarios on the management of children with suspected covid-19.

Conrad Wanyama, a nurse from the KEMRI-Wellcome Trust Research Programme who led the development of the covid-19 clinical content, said:

"We have used official WHO guidance to develop a highly engaging training app for healthcare workers in Africa. The covid-19 scenarios use 3D animations and videos to show how to follow correct infection control procedures to safely and effectively manage children who are suspected of having covid-19."

Dr Chris Paton, the lead researcher for LIFE from the University of Oxford, commented:

“Smartphones are now very commonly used by healthcare workers in Africa. After downloading the app for free to their phones, healthcare workers can now train anywhere that is convenient and learn the key steps they need to know to save lives in emergencies.”

Tuti Ng’ang’a, a DPhil student at the University of Oxford, studied the effect of LIFE on healthcare workers’ learning gains. He said:

“There is a considerable learning gain between the first two rounds of learning for healthcare workers that use the LIFE app. My research showed that new approaches to adaptive feedback linked to how healthcare workers spaced their learning could improve learning gains further.”

 

Life-saving Instruction for Emergences (LIFE) is a virtual reality and smartphone app delivering medical training through mobile and VR platforms. The platform was initially developed by clinicians and researchers at the KEMRI-Wellcome Trust Research Programme and the University of Oxford, and its development has been supported by HTC, Oxford University Innovation, GCRF, the Bill and Melinda Gates Foundation, the Wellcome Trust, Saving Lives at Birth and Médecins Sans Frontières.

LIFE is available to download for free for smartphones or search for “Life-saving Instruction for Emergencies” on the Google Play Store.

Follow the LIFE project on twitter @OxLIFEproject

Similar stories

Pilot study detects diverse DNA in ingredients of falsified tablets

A recent multidisciplinary pilot study, originating from LOMWRU and the Medicine Quality Research Group of IDDO and MORU, investigated whether bacterial, plant, fungal and animal DNA in the ingredients and from the environment (eDNA) could be detected from falsified (aka counterfeit) tablets.

Expert Comment: Biotechnology allows us to make unprecedented interventions for conservation

In the wake of high-profile reports on the devastating toll human activity has had on global biodiversity, nations are expected to adopt the Convention on Biodiversity post-2020 framework that outlines measures to ensure humans live in harmony with nature.

Researchers call for antimicrobial resistance surveillance to be improved

The number of studies reporting antimicrobial resistance (AMR) data has increased in Africa, South and South East Asia according to new research in the International Journal of Infectious Diseases.

VAnguard Launch

KWTRP hosted the launch of the VAnguard research project. The NIHR Funded Project Builds Knowledge-base on Factors Influencing Vaccine Impact among Communities in Kenya and Uganda. The project aims to strengthen collaborations between national and international stakeholders in the identification of social and biological factors that impair vaccine impact in African communities, to develop integrated strategies and recommendations to optimize vaccine impact, and to contribute to health equity in Africa. The launch concurrently took place in Kenya and Uganda from 28th – 30th November 2022.

Meta-analysis informed the updated WHO guidelines for treatment of uncomplicated malaria in the first trimester of pregnancy

A new WWARN meta-analysis, commissioned by the World Health Organization and which informed a change to its treatment guidelines, has been published in The Lancet. The study provides compelling evidence that artemether-lumefantrine should now replace quinine as the treatment of choice in the first trimester.

Bacterial infections linked to one in eight global deaths, according to GRAM study

Data showing 7.7 million deaths from 33 bacterial infections can guide measures to strengthen health systems, particularly in low-income settings