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Learning to Harness Innovation in Global Health for Quality Care (HIGH-Q). The HIGH-Q project has a multidisciplinary approach to addressing the quality of inpatient and post-discharge neonatal care in Kenyan hospitals. HIGH-Q also investigates the role innovations might play in longer term neonatal care.

A newborn in a bassinet, in a healthcare facility in Kenya with two healthcare workers

The Harnessing Innovation in Global Health for Quality Care (HIGH-Q) programme of work has a specific focus on neonatal care in low and middle-income countries’ hospitals and explores the inter-relationships between technology adoption, workforce deficits and quality of care.

Our main objective is to understand how technological and human resource interventions can be designed and implemented successfully to enhance the quality of inpatient and post-discharge neonatal care.

HIGH-Q takes a broad view of quality focusing especially on the effectiveness, timeliness, safety, and outcomes of care together with families’ and staff experiences. We are addressing questions on how introducing essential technologies affects quality, whether specifically intervening to increase nursing and ancillary staff numbers improves quality and technology adoption and how we might better support the delivery and integration of post-discharge care for families. The HIGH-Q project is based on collaboration between clinical researchers, social scientists, professional and public groups as stakeholders, policy makers, and healthcare workers to co-ordinate the intervention and research.

One of our main aims of the programme is to advance the careers of early to mid-career Kenyan post- doctoral scientists and to develop multi-disciplinary research skills. To this end the HIGH-Q programme is directly supporting four African PhD studentships and at least four junior Kenyan scientists.

This research was funded by the National Institute for Health Research (NIHR) (HIGH-Q) using UK aid from the UK Government to support global health research. The views expressed in this publication are those of the author(s) and not necessarily NIHR or the UK government

HIGH-Q team

HIGH-Q DPhil students