Accuracy of clinical predictions of prognosis at the end-of-life: evidence from routinely collected data in urgent care records

Autor: M. Orlovic, J. Droney, V. Vickerstaff, J. Rosling, A. Bearne, M. Powell, J. Riley, P. McFarlane, J. Koffman, P. Stone
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: BMC Palliative Care, Vol 22, Iss 1, Pp 1-11 (2023)
Druh dokumentu: article
ISSN: 1472-684X
DOI: 10.1186/s12904-023-01155-y
Popis: Abstract Background The accuracy of prognostication has important implications for patients, families, and health services since it may be linked to clinical decision-making, patient experience and outcomes and resource allocation. Study aim is to evaluate the accuracy of temporal predictions of survival in patients with cancer, dementia, heart, or respiratory disease. Methods Accuracy of clinical prediction was evaluated using retrospective, observational cohort study of 98,187 individuals with a Coordinate My Care record, the Electronic Palliative Care Coordination System serving London, 2010–2020. The survival times of patients were summarised using median and interquartile ranges. Kaplan Meier survival curves were created to describe and compare survival across prognostic categories and disease trajectories. The extent of agreement between estimated and actual prognosis was quantified using linear weighted Kappa statistic. Results Overall, 3% were predicted to live “days”; 13% “weeks”; 28% “months”; and 56% “year/years”. The agreement between estimated and actual prognosis using linear weighted Kappa statistic was highest for patients with dementia/frailty (0.75) and cancer (0.73). Clinicians’ estimates were able to discriminate (log-rank p
Databáze: Directory of Open Access Journals
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