Asian Nurs Res.  2024 May;18(2):106-113. 10.1016/j.anr.2024.04.002.

A Nomogram for Predicting the Infectious Disease-specific Health Literacy of Older Adults in China

• Zhang Q
• Yin J
• Wang Y
• Song L
• Liu T
• Cheng S
• Shang S

• KMID: 2556346
• DOI: http://doi.org/10.1016/j.anr.2024.04.002

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.

Keyword

aged; communicable diseases; health literacy; nomograms