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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

Sue Hignett

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Presentation Conference Type Conference Paper (unpublished)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
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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