Clinical prediction models for hospital falls: a scoping review protocol.

ABSTRACT:

Introduction

Falls remain one of the most prevalent adverse events in hospitals and are associated with substantial negative health impacts and costs. Approaches to assess patients' fall risk have been implemented in hospitals internationally, ranging from brief screening questions to multifactorial risk assessments and complex prediction models, despite a lack of clear evidence of effect in reducing falls in acute hospital environments. The increasing digitisation of hospital systems provides new opportunities to understand and predict falls using routinely recorded data, with potential to integrate fall prediction models into real-time or near-real-time computerised decision support for clinical teams seeking to mitigate fall risk. However, the use of non-traditional approaches t

SUBMITTER: Parsons R 

PROVIDER: S-EPMC8438847 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature