Abstract

Background

China is one of the most rapidly ageing countries and has the largest ageing population in the world. The demand for long-term care is increasing. Nursing home placement is one of the most stressful events in a person’s life. Although research on relocation adjustment has been conducted in many countries, few studies have been related to the predictors of nursing home adjustment in mainland China. This study aimed to identify the predictors of nursing home adjustment in the context of filial piety in mainland China.

Methods

This was a descriptive study that employed a cross-sectional survey. A total of 303 residents from 22 nursing homes in Nanjing, China, were recruited. A structured questionnaire about residents’ characteristics, activities of daily living, social support, resilience, and nursing home adjustment was administered. Multiple linear regression was used to identify the predictors of adaptation to nursing homes.

Results

The predictors of nursing home adjustment were the satisfaction with services(β = .158, P < .01), number of diseases(β = −.091, P < .05), length of stay(β = .088, P < .05), knowledge of the purpose of admission (β = .092, P < .05), resilience(β = .483, P < .001) and social support(β = .186, P < .001). The total explained variance for this model was 61.6%.

Conclusion

Nursing staff members should assess the characteristics of residents to promote their better adjustment. Resilience had the most significant influence on the level of adaptation, which has been the primary focus of interventions to improve adjustment. The management of disease comorbidities in nursing homes should be standardized and supervised by the government. More volunteers from universities and communities should be encouraged to provide social support to residents. Moreover, a caring culture needs to be emphasized, and the value of filial piety should be advocated in nursing homes of East Asian countries.

Details

Title
The factors of adaptation to nursing homes in mainland China: a cross-sectional study
Author
Sun, Changxian; Yu, Yiting; Li, Xuxu; Cui, Yan  VIAFID ORCID Logo  ; Ding, Yaping; Zhu, Shuqin; Li, Xianwen; Chen, Shen; Zhou, Rong
Pages
1-8
Section
Research article
Publication year
2020
Publication date
2020
Publisher
BioMed Central
e-ISSN
14712318
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2471162868
Copyright
© 2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.