posted on 2019-04-17, 09:28authored byJosephine Hegarty, Siobhan Murphy, Sile Creedon, Teresa Wills, Eileen Savage, Fiona Barry, Maura Smiddy, Alice CoffeyAlice Coffey, Aileen Burton, Deirdre O’Brien, Sinead Horgan, Cliodhna Nibhuachalla, Cathal Brennan, Heloise Agreli, Jonathan Drennan
Background Leadership is a key component for
infection prevention and control and plays an important
role in the implementation of guidelines on healthcareassociated
infections. A body of literature exists on
healthcare workers’ perspectives on implementing these
types of guidelines; however, there is a paucity of data
on the leadership perspectives on implementation.
This study aims to contribute to the evidence base of
leadership perspectives.
Objective To explore the implementation of National
Clinical Guidelines pertaining to methicillin-resistant
Staphylococcus aureus and Clostridium difficile from the
leadership angle.
Setting Healthcare organisations.
Participants Clinical and non-clinical leaders.
Design This research used a mixed-methods approach
comprising qualitative individual interviews (n=16)
and quantitative surveys (n=51) underpinned by the
integrated Promoting Action on Research Implementation
in Health Services framework.
Results Leaders recognise the value and innovation
of guidelines to support clinical practice. However, they
describe barriers to implementation that prevent the full
uptake of guidelines, for example, guidelines may present
an ideological approach to care which differs from the
contextual reality of clinical practice where resources and
time are not always available.
Conclusion This research highlighted that guidelines
are complex interventions in complex organisations,
perhaps leadership could help overcome the challenges
posed by this complexity. Leadership may allow a
systematic approach to all aspects of implementation
despite the variety of challenges faced at different
stages of implementation and sustainability of uptake of guidelines over time.
Funding
Development of a structure identification methodology for nonlinear dynamic systems