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Related Experiment Video

Updated: May 26, 2026

An R-Based Landscape Validation of a Competing Risk Model

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

Calculating risk.

Catharine Sadler

Nursing Standard (Royal College of Nursing (Great Britain) : 1987)

|December 15, 2011

Summary

A new risk prediction model estimates a patient's five-year risk of venous thromboembolism (VTE). Community nurses can use this tool to educate patients about their VTE risk and prevention strategies.

Area of Science:

Medical Science
Clinical Prediction
Public Health

Background:

Venous thromboembolism (VTE) is a significant health concern.
Accurate risk assessment is crucial for VTE prevention.
Patient education empowers individuals to manage their health risks.

Purpose of the Study:

To develop and introduce a novel risk prediction model for venous thromboembolism (VTE).
To provide a tool for assessing absolute VTE risk over a five-year period.
To facilitate patient education by community nurses regarding VTE risk.

Main Methods:

Development of a risk prediction model utilizing relevant patient data.
Validation of the model's accuracy in predicting VTE.
Integration of the model into community nursing practice for patient education.

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Establishing a Competing Risk Regression Nomogram Model for Survival Data

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Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

Main Results:

A functional risk prediction model for VTE has been successfully developed.
The model assesses absolute VTE risk up to five years in the future.
The model is intended for use by community nurses.

Conclusions:

The developed risk prediction model offers a valuable tool for VTE risk assessment.
Community nurses are encouraged to adopt this model for patient education.
Enhanced patient understanding of VTE risk can lead to improved preventative behaviors.