Developing a framework for evidence-based grading and assessment of predictive tools for clinical decision support.

ABSTRACT:

Background

Clinical predictive tools quantify contributions of relevant patient characteristics to derive likelihood of diseases or predict clinical outcomes. When selecting predictive tools for implementation at clinical practice or for recommendation in clinical guidelines, clinicians are challenged with an overwhelming and ever-growing number of tools, most of which have never been implemented or assessed for comparative effectiveness. To overcome this challenge, we have developed a conceptual framework to Grade and Assess Predictive tools (GRASP) that can provide clinicians with a standardised, evidence-based system to support their search for and selection of efficient tools.

Methods

A focused review of the literature was conducted to extract criteria along which tools

SUBMITTER: Khalifa M 

PROVIDER: S-EPMC6820933 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature