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Cost consequences of unscheduled emergency admissions in cancer patients in the last year of life
OBJECTIVES: Cancer is a leading cause of death. This paper examines the utilisation of unscheduled emergency end-of-life healthcare and estimates expenditure in this domain. We explore care patterns and quantify the likely benefits from service reconfigurations which may influence rates of hospital...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985568/ https://www.ncbi.nlm.nih.gov/pubmed/36869930 http://dx.doi.org/10.1007/s00520-023-07633-6 |
Sumario: | OBJECTIVES: Cancer is a leading cause of death. This paper examines the utilisation of unscheduled emergency end-of-life healthcare and estimates expenditure in this domain. We explore care patterns and quantify the likely benefits from service reconfigurations which may influence rates of hospital admission and deaths. METHODS: Using prevalence-based retrospective data from the Northern Ireland General Registrar’s Office linked by cancer diagnosis to Patient Administration episode data for unscheduled emergency care (1st January 2014 to 31st December 2015), we estimate unscheduled-emergency-care costs in the last year of life. We model potential resources released by reductions in length-of-stay for cancer patients. Linear regression examined patient characteristics affecting length of stay. RESULTS: A total of 3134 cancer patients used 60,746 days of unscheduled emergency care (average 19.5 days). Of these, 48.9% had ≥1 admission during their last 28 days of life. Total estimated cost was £28,684,261, averaging £9200 per person. Lung cancer patients had the highest proportion of admissions (23.2%, mean length of stay = 17.9 days, mean cost=£7224). The highest service use and total cost was in those diagnosed at stage IV (38.4%), who required 22,099 days of care, costing £9,629,014. Palliative care support, identified in 25.5% of patients, contributed £1,322,328. A 3-day reduction in the mean length of stay with a 10% reduction in admissions, could reduce costs by £7.37 million. Regression analyses explained 41% of length-of-stay variability. CONCLUSIONS: The cost burden from unscheduled care use in the last year of life of cancer patients is significant. Opportunities to prioritise service reconfiguration for high-costing users emphasized lung and colorectal cancers as offering the greatest potential to influence outcomes. |
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