Background The communication of prognosis in end-of-life (EOL) care is a challenging task that is limited by prognostic uncertainty and physicians' lack of confidence in their prognostic estimates. Clinical prediction models (CPMs) are increasingly common evidence-based tools that may mitigate these problems and facilitate the communication and use of prognostic information in EOL care; however, little is known about physicians' perceptions of the value of these tools.
The results demonstrate that when staff learn to prevent, identify, manage and document delirium more accurately the fall rate decreases. The practice change, including the use of CAM, was sustained by continuous auditing including re-education, and the re-enforcement of learning along with the implementation of a policy.
The PROMPT demonstrated good discrimination but poor calibration in an independent heterogeneous clinical population. Model updating improved calibration and diagnostic performance and decision curve analysis demonstrated potential clinical utility of the PROMPT for initiating advance care planning rather than hospice referrals.
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