An evaluation of the Florence Nightingale Foundation leadership, research and travel scholarships
Evidence & Practice    

An evaluation of the Florence Nightingale Foundation leadership, research and travel scholarships

Matthew Rose Marketing, fundraising and events graduate assistant, The Florence Nightingale Foundation, London, England
Angela Tod Professor of older people and care, School of Nursing and Midwifery, The University of Sheffield, Sheffield, England
Candy McCabe Florence Nightingale Foundation chair in clinical nursing practice research, Royal United Hospitals Bath NHS Foundation Trust, Bath and the University of the West of England, Bristol, England
Richard Giordano Senior lecturer in leadership and management in health and social care, Faculty of Health Sciences, University of Southampton, Southampton, England

The Florence Nightingale Foundation (FNF) is a charity that awards scholarships in leadership, travel and research to nurses, midwives and other healthcare professionals to promote excellence in practice. The FNF offers mentoring support to scholars, and provides support in career development and writing articles for publication, in addition to the financial award. The leadership scholarships are bespoke: leadership scholars can access a range of development opportunities that are specially commissioned for them, and select their programme of study and experiences, based on their individual needs. All scholarships provide opportunities to represent the FNF and to meet other scholars at the FNF annual conference. This article provides an overview of the FNF scholarships, based on the findings of two evaluations that demonstrated the value of these scholarships in improving services for patients and carers, as well as enhancing the careers of individual scholars.

Nursing Standard. doi: 10.7748/ns.2017.e10706

Correspondence

Graduate@florencenightingale-foundation.org.uk; Twitter: @FNightingaleF

Peer review

This article has been subject to external double-blind peer review and checked for plagiarism using automated software

Received: 03 October 2016

Accepted: 07 November 2016

Published online: 11 December 2016