Journal
AUSTRALIAN HEALTH REVIEW
Volume 45, Issue 2, Pages 135-142Publisher
CSIRO PUBLISHING
DOI: 10.1071/AH20126
Keywords
activity-based funding; clinical coding; financial management; health classification; health economics; health services administration; hospital-acquired complications (HACs); hospital-acquired conditions; hospital; International Classification of Diseases; medical classification; patient safety; quality and safety; value-based health care
Funding
- Australian Research Council's Centre of Excellence in Population Ageing Research
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This study investigated the economic impact of 16 'high-priority' hospital-acquired complications from the perspective of an individual Australian health service. It found that most HACs were associated with a statistically significant risk of increased cost and length of stay.
Objective. This study determined the economic impact of 16 'high-priority' hospital-acquired complications (HACs), as defined by the Australian Commission on Safety and Quality in Health Care, from the perspective of an individual Australian health service. Methods. A retrospective cohort study was performed using a deidentified patient dataset containing 93 056 in-patient separations in Northern Health (Victoria, Australia) from 1 July 2016 to 30 June 2017. Two log-linked generalised linear regression models were used to obtain additional costs and additional length of stay (LOS) for 16 different HACs, with the main outcome measures being the additional cost and LOS for all 16 HACs. Results. In all, 1700 separations involving HACs (1.83%) were identified. The most common HAC was health care-associated infections. Most HACs were associated with a statistically significant risk of increased cost (15/16 HACs) and LOS (11/16 HACs). HACs involving falls resulting in fracture or other intracranial injury were associated with the highest additional cost (A$17 173). The biggest increase in additional LOS was unplanned admissions to the intensive care unit (5.42 days). Conclusions. This study shows the economic impact of HACs from the perspective of an individual health service. The methodology used demonstrates how other health services could determine safety priorities corresponding to their own casemix.
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