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Dataset Information

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


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 categor

SUBMITTER: Orlovic M 

PROVIDER: S-EPMC10131555 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature