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J. Braithwaite et al.
Fig. 27.9 Genomic learning community of members of
the Australian Genomics Health Alliance in 2018, where
nodes are members and lines are ties. Size of node indicates
importance in the network. Colours represent the
various working groups (n = 22); red indicates national
operational staff. (Created with Gephi 0.9)
management, safety culture and leadership, care
delivery and patient outcomes.
DUQuA participants included nearly half
(n = 32) of the large, acute care public hospitals
in Australia. Despite the apparent homogeneity
of the group, the variability and complexity of the
settings limited our ability to identify strong
associations between quality management systems
and processes, and patient outcomes.
Variation, for example, was often greater within
hospitals than between them. In some instances,
such as implementation of evidence-based patient
safety measures, Australia’s mandatory accreditation
programme involving assessment of performance
against ten National Standards [61],
meant that there was little variability between
comparative hospital safety performance at the
organisation level. At the care pathway level,
however, for the acute myocardial infarction,
stroke and hip fracture conditions that were
assessed, there was significant variation in leadership
and safety culture between conditions
within the same hospital.
At individual hospitals, DUQuA has enabled
us, through statistical modelling, to answer the
what?, when? and how much? questions about