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Analytical, Diagnostic and Therapeutic Techniques and Equipment | Applied Mathematics | Numerical Analysis and Computation | Other Mathematics
Bioinformatics; 3. MEDICAL AND HEALTH SCIENCES; Epidemiology; Applied mathematics; 1.1 MATHMATICS; Statistics
Analysing linked, routinely collected data may be useful to identify characteristics of patients with suspected lung cancer who could benefit from early assessment for palliative care. The aim of this study was to compare characteristics of newly diagnosed lung cancer patients dying within 30 days of diagnosis (short term survivors) with those surviving more than 30 days. To identify indicators for early palliative care assessment we distinguished between characteristics available at diagnosis (age, gender, smoking status, marital status, comorbid disease, admission type, tumour stage and histology) from those available post diagnosis. A second aim was to examine the association between receiving any tumour-directed treatment, place of death and survival time.
Kelly, M., O’Brien, K.M., Lucey, M., Clough-Gorr, K. and Hannigan, A. (2018). Indicators for early assessment of palliative care in lung cancer patients: a population study using linked health data. BMC Palliative Care, 17(1). Available at: https://bmcpalliatcare.biomedcentral.com/articles/10.1186/s12904-018-0285-5