Predicting the Risk of Psychological Distress among Lung Cancer Patients: Development and Validation of a Predictive Algorithm Based on Sociodemographic and Clinical Factors

Predicting the Risk of Psychological Distress among Lung Cancer Patients: Development and Validation of a Predictive Algorithm Based on Sociodemographic and Clinical Factors

Objective: Lung cancer patients reported the highest incidence of psychological distress. It is extremely important to identify which patients at high risk for psychological distress. The study aims to develop and validate a predictive algorithm to identify lung cancer patients at high risk for psyc...

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Bibliographic Details
Main Authors: Xu Tian, Yanfei Jin, Ling Tang, Yuan-Ping Pi, Wei-Qing Chen, Maria F Jimenez-Herrera
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2021-01-01
Series:Asia-Pacific Journal of Oncology Nursing
Subjects:
lung neoplasm
prediction model
psychological distress
structural equation model
Online Access:http://www.apjon.org/article.asp?issn=2347-5625;year=2021;volume=8;issue=4;spage=403;epage=412;aulast=Tian

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http://www.apjon.org/article.asp?issn=2347-5625;year=2021;volume=8;issue=4;spage=403;epage=412;aulast=Tian

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