Your browser doesn't support javascript.
Investigation of COVID-19 vaccination among elderly adults in long-term care facilities and analysis of influencing factors.
Journal of Xi'an Jiaotong University (Medical Sciences) ; 44(2):294-299, 2023.
Article in Chinese | EMBASE | ID: covidwho-2296738
ABSTRACT
Objective To understand the status of COVID-19 vaccination among elderly adults in long-term care facilities and analyze the influencing factors so as to provide scientific basis for improving the policy of COVID-19 vaccination. Methods The socio-demographic characteristics, disease-related data, disability, and COVID-19 vaccination status of 575 elderly adults who resided in long-term care facilities in Shaanxi Province were collected via Sojumpin in January 2022. Factors that affected non-vaccinated elderly adults were analyzed by using the SPSS 25.0 software. Results Of the included 575 participants, 199 (34. 6%) were not vaccinated against COVID-19. Univariate analysis showed that COVID-19 vaccination was associated with age, room type, length of stay, marital status, number of children, chronic diseases (i.e., diabetes, stroke, dementia), disability degree, and long-term medication use. Logistic regression analysis demonstrated that age of 90 years or above (OR =4. 25), triple room (OR = 6.17), moderate disability (OR = 2. 94), severe disability (OR =6. 67), long-term medication use (OR = 1.81), and stroke (OR =1. 74) were independent risk factors for not injecting COVID-19 vaccine. Conclusion The COVID-19 vaccination coverage rate of elderly adults in long-term care facilities needs to be improved, and more attention should be paid to the high-risk groups (e.g., who are older, and have disability, long-term medication use, or stroke).Copyright © 2023 Xi'an Medical University. All rights reserved.
Keywords

Full text: Available Collection: Databases of international organizations Database: EMBASE Topics: Long Covid / Vaccines Language: Chinese Journal: Journal of Xi'an Jiaotong University (Medical Sciences) Year: 2023 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: Databases of international organizations Database: EMBASE Topics: Long Covid / Vaccines Language: Chinese Journal: Journal of Xi'an Jiaotong University (Medical Sciences) Year: 2023 Document Type: Article