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Background: Activity-based funding (ABF) is a means of healthcare reimbursement, where hospitals are allocated funding based on the number and mix of clinical activity. The ABF model is based solely on Australian refined diagnosis-related group (AR-DRG) classifications of hospital encounters. Each AR-DRG is allocated a weighted activity unit (WAU) translating to cost value to determine ongoing funding allocations for each hospital annually., Aim: We explored cost consequences of AR-DRG coding variances within our Medical Oncology department over a 6-month period., Methods: All inpatient encounters for medical oncology from 1 January to 30 June 2014 were identified and paired with actual AR-DRG coding sheets submitted by the hospital coders. Inpatient charts were manually reviewed by a Medical Oncology Registrar to capture any changes or additional AR-DRGs, which were subsequently evaluated for total WAU value variance. Applying 1 WAU = $4676 as per the 2014 Queensland model, cost consequences were calculated., Results: A total of 116 encounters was identified for 72 patients. Of 116 patients, 95 (81%) had additional diagnoses captured, leading to an AR-DRG and WAU change in 26 encounters. The total reimbursement variance for this period was $143 404.07. Cost consequences resulted from: (i) use of abbreviations in clinical notes unable to be coded; and (ii) diagnoses not documented despite treatment delivered as per medication charts., Conclusion: Clinical note documentation ultimately determines the future funding of our healthcare system. Appropriate communication and education of medical staff and hospital coders are vital to ensure precise documentation and accurate AR-DRG coding for optimal and appropriate reimbursement in this funding model., (© 2019 Royal Australasian College of Physicians.)

The antibiotic optimisation imperative is now ubiquitous, with national policy frameworks in Organisation for Economic Co-operation and Development (OECD) countries incorporating the requirement for antimicrobial stewardship within healthcare services. Yet in practice, the optimisation agenda often raises complex ethical- and practice-based dilemmas. Antibiotic use at the end of life is multidimensional. It includes balancing complex issues, such as accuracy of prognostic estimates, benevolence to the individual versus the broader public health, personalised value judgement of time and quality of life and the right to treatment versus the right to die. It also occurs in an emotional context where the clinician and patient (and their family) collectively confront mortality. This provides a scenario where amplification of the already strong social and behavioural forces that drive overuse of antibiotics in many other clinical settings may occur. It therefore offers an important case for illustrating how antibiotic optimisation may be limited by social, value-based and ethical dilemmas., (© 2019 Royal Australasian College of Physicians.)