Sue Hignett
Comparing apples with apples: hierarchical task analysis as a simple systems framework to improve patient safety.
Hignett, Sue; Banerjee, Jay; Pickup, Laura; Lang, Alexandra; Oldfield, Ethel; Vosper, Helen
Authors
Jay Banerjee
Laura Pickup
Alexandra Lang
Ethel Oldfield
Helen Vosper
Abstract
Changing healthcare culture to improve patient safety is the goal of healthcare systems across the world. However the proliferation of Human Factors/Ergonomics (HFE) systems methods may be limiting the embedding of improvements as well-established methods from other safety critical industries are modified. This paper explores how the basic HFE method of Hierarchical Task Analysis (HTA) could be used to compare ‘apples with apples’ by looking at national guidance and local hospital guidance for the care of women and their babies during labour and child birth. It is concluded that HTA could offer a simple framework to visualize operational systems as shared mental models which are accessible within and between multi-disciplinary teams, as part of process improvement projects (including Plan-Do-Study-Act; PDSA) and as the foundation for HFE in healthcare education to ensure the consistency of messages throughout the patient journey.
Citation
HIGNETT, S., BANERJEE, J., PICKUP, L., LANG, A., OLDFIELD, E. and VOSPER, H. 2019. Comparing apples with apples: hierarchical task analysis as a simple systems framework to improve patient safety. Presented at 2019 Healthcare ergonomics and patient safety international conference (HEPS 2019), 3-5 July 2019, Lisbon, Portugal.
Presentation Conference Type | Conference Paper (unpublished) |
---|---|
Conference Name | 2019 Healthcare ergonomics and patient safety international conference (HEPS 2019) |
Start Date | Jul 3, 2019 |
End Date | Jul 5, 2019 |
Deposit Date | Sep 2, 2019 |
Publicly Available Date | Oct 8, 2019 |
Peer Reviewed | Peer Reviewed |
Keywords | Process mapping; Mental model; Hierarchical task analysis; Obstetrics; Standards |
Public URL | https://rgu-repository.worktribe.com/output/323286 |
Additional Information | https://dspace.lboro.ac.uk/2134/37799 |
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