Reasons for presentation to ED would be multifactorial and include complex cases with coexisting symptoms making diagnosis difficult. The general public appear to have a low level of awareness of alternative primary care services or difficulty accessing such information. Some of the changes towards reducing the number of patients presenting to ED will include patient education.
Background: Cancer treatment near end of life is not likely to add meaningful benefit and minimising intervention rates has been promoted as an indicator of quality of care. Population-based analysis of treatment allows comparative analysis of treatment rates and provides insight into patterns of care.Aims: To report a population-based analysis of both radiotherapy and active systemic therapy (AST) delivery rates along with patterns of treatment within the last 14 and 30 days of life.Methods: The Evaluation of Cancer Outcomes Registry records clinical information on all newly diagnosed cancer patients for the Barwon South West Region of Victoria, Australia. Diagnosis details, tumour type and stage as well as core treatment details and date of death were extracted for all patients diagnosed from 2009 to 2015 inclusive.Results: A total of 12 760 cases cancers were recorded. The median age of all cases was 68.8, and 53% were male. AST was received by 3699 (29%) of patients and radiotherapy by 3811 (30%). Patient deaths within 14 and 30 days of treatment for AST were 4.3 and 8.7%, respectively, and deaths within 14 and 30 days of treatment for radiotherapy 3.8 and 8.0% respectively. Factors associated with death within 30 days of AST and/or radiotherapy were male gender, age greater than 70 years and higher disease stage (all P < 0.01). Treatment rates within 30 days of death were highest for lung cancer (23% of cases) and lowest for breast cancer (2% of cases).
Conclusions:This population-based analysis of AST and radiotherapy treatment within the last 30 days of life within a region of Australia has shown overall treatment rates below 10%. Treatment rates appear influenced by both patient and tumour characteristics. Future focus on subgroups with high rates of late intervention may help minimise treatment unlikely to add benefit. PC Ref/dead (%) PC Ref/alive (%) P-value Any treatment 30-day outcomes 317/608 (52) 1207/5190 (23) <0.01 Any treatment 14-day outcomes 135/299 (45) 1403/5595 (25) <0.01 Radiotherapy 30-day outcomes 184/309 (60) 878/3502 (25) <0.01 Radiotherapy 14-day outcomes 76/147 (52) 986/3664 (27) <0.01 Active systemic therapy 30-day outcomes 142/323 (44) 827/3376 (25) <0.01 Active systemic therapy 14-day outcomes 63/160 (39) 906/3539 (26) <0.01Population-based end-of-life care review
ProblemOptimal lung cancer care requires multidisciplinary team input, with access to specialised diagnostic and therapeutic services that may be limited in rural or regional areas and impact clinical outcomes. Clinical quality indicators can be used to measure the quality of care delivered to patients with lung cancer in a region and identify areas for improvement. We describe the implementation of internationally recognised clinical quality indicators for lung cancer care in the Barwon South Western region.DesignThe consensus of an expert panel was used for the selection of clinical quality indicators. The data were retrospectively collected from the Evaluation of Cancer Outcomes Barwon South West Registry, which systematically records detailed information on all new patients with cancer in the region.SettingRegion‐based health service.Key measures for improvementAdherence to clinical quality indicator targets.Strategies for changeClinical quality indicators, which fall short of the expected targets, highlight areas for improvement in the service provided to patients with lung cancer. These results have prompted changes in the service offered to these patients, such as the introduction of a multidisciplinary lung cancer clinic.Effects of changeThe multidisciplinary lung cancer clinic has streamlined the access to lung cancer services, including specialist consultations, diagnostics and therapeutic services, in a regional setting. Ongoing data collection is required to determine the effect of such changes on adherence to clinical quality indicator targets.Lessons learntThe regular monitoring of clinical quality indicators serves as a useful method of quality assurance in the care of patients with lung cancer. We expect these clinical quality indicators to also be used by other health services to analyse and improve services provided to patients with lung cancer.
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