A Nomogram for Predicting the Infectious Disease-specific Health Literacy of Older Adults in China
10.1016/j.anr.2024.04.002
- Author:
Qinghua ZHANG
1
;
Jinyu YIN
;
Yujie WANG
;
Li SONG
;
Tongtong LIU
;
Shengguang CHENG
;
Siyi SHANG
Author Information
1. School of Medicine & Nursing, Huzhou University, Huzhou, Zhejiang, China
- Publication Type:Research Article
- From:Asian Nursing Research
2024;18(2):106-113
- CountryRepublic of Korea
- Language:English
-
Abstract:
Purpose:To identify the predictors of infectious disease-specific health literacy (IDSHL), and establish an easy-to-apply nomogram to predict the IDSHL of older adults.
Methods:This cross-sectional study included 380 older adults who completed the IDSHL, self-rated health, socio-demographic and other questionnaires. Logistic regression was used to identify the IDSHL predictors. Nomogram was used to construct a predictive model.
Results:Up to 70.1% of older adults had limited IDSHL. Age, education, place of residence, self-rated health, and Internet access were the important influencing factors of IDSHL. The established nomogram model showed high accuracy (receiver operating characteristic curve: 0.848).
Conclusions:The IDSHL of Chinese older adults was significantly deficient. The constructed nomogram is an intuitive tool for IDSHL prediction that can not only contribute toward rapid screening of high-risk older adults with limited IDSHL but also provide guidance for healthcare providers to develop prevention strategies for infectious diseases.
