Browse by author
Lookup NU author(s): Dr Arabella Scantlebury, Professor Joy Adamson
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2016 The Author(s). Background: Our aim was to explore NHS staff perceptions and experiences of the impact on patient safety of introducing a maternity system. Methods: Qualitative semi-structured interviews were conducted with 19 members of NHS staff who represented a variety of staff groups (doctors, midwives, health care assistants), staff grades (consultant and midwife grades) and wards within a maternity unit. Participants represented a single maternity unit at a NHS teaching hospital in the North of England. Interviews were conducted during the first 12 months of the system being implemented and were analysed thematically. Results: Participants perceived there to be an elevated risk to patient safety during the system's implementation. The perceived risks were attributed to a range of social and technical factors. For example, poor system design and human error which resulted in an increased potential for missing information and inputting error. Conclusions: The first 12 months of introducing the maternity system was perceived to and in some cases had already caused actual risk to patient safety. Trusts throughout the NHS are facing increasing pressure to become paperless and should be aware of the potential adverse impacts on patient safety that can occur when introducing electronic systems. Given the potential for increased risk identified, recommendations for further research and for NHS trusts introducing electronic systems are proposed.
Author(s): Clarke A, Adamson J, Watt I, Sheard L, Cairns P, Wright J
Publication type: Article
Publication status: Published
Journal: BMC Medical Informatics and Decision Making
Year: 2016
Volume: 16
Issue: 62
Pages: 1-7
Online publication date: 04/06/2016
Acceptance date: 29/05/2016
Date deposited: 22/01/2018
ISSN (electronic): 1472-6947
Publisher: BioMed Central Ltd.
URL: https://doi.org/10.1186/s12911-016-0299-y
DOI: 10.1186/s12911-016-0299-y
PubMed id: 27260193
Altmetrics provided by Altmetric
