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Sustainable approach to reducing unnecessary combined biochemistry tests on a paediatric cardiology ward
William Regan1, Daljit Hothi1, Kevin Jones2
1Paediatric Cardiology Department, Great Ormond Street Hospital, London, UK.
Abstract:
We describe a quality improvement project (QIP) designed to reduce unnecessary biochemistry samples requested on a paediatric cardiology ward in Great Ormond Street Hospital. Prior to the intervention biochemistry tests were requested on a daily basis by nursing and junior doctor staff at an annual cost of around £27 000 for the ward. The lead author observed that for the majority the true indication for these biochemistry tests was for the purpose of monitoring renal function and plasma electrolytes. However, during a diagnostic analysis trying to understand the behaviours around ordering tests it appeared that a broader profile and more expensive combined test set was being requested that included unnecessary liver and bone profile analyses. A driver diagram identified three areas to target in order to rationalise blood test requests: (1) a critical understanding of the purpose of the test by those requesting the tests; (2) effective communication between professionals; and (3) improved utilisation of the computer system. An education-based QIP was initiated with the aim of reducing requests of these costly, unnecessary combined biochemical tests by half, by supporting and encouraging staff to switch to a simpler renal function assay. The project was designed to be engaging and fun and invited clinical teams to consider the cost of wasted resources in terms of the financial implications for the hospital, and in terms of the wider environmental impact of wasted resources illustrated in terms of estimated carbon dioxide use. This perhaps unusual approach of encouraging an awareness of both financial and environmental cost led to a sustained reduction in the ordering of expensive combined biochemical tests, saving an estimated £11 338 (or 13.5%) on biochemistry tests and around 17.8 tonnes of carbon dioxide across a 32-month follow-up period.
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