https://orcid.org/0000-0002-2398-7317
Abstract
Purpose
The purpose of the present study was to investigate the current status of and factors influencing the demands for telenursing-based long-term care in disabled older adults.
Methods
In this cross-sectional study, data from 213 participants from five districts of Qingdao, China, were investigated using multistage stratified sampling. The assessment scale of the long-term care demands level and the questionnaire of the demands of telenursing-based long-term care for disabled older adults were used to estimate the demands for telenursing-based long-term care for older adults with disabilities in Qingdao.
Results
Of the participants, 60.51% were willing to receive telenursing-based long-term care. The item with the highest score was “Internet +” information management and first aid (3.77 ± 0.71); the item with the lowest score was “Internet +” daily care (2.97 ± 0.72). Average family income (P < 0.001), age (P = 0.004) and educational level (P = 0.003) were significant factors influencing the demands for telenursing-based long-term care.
Conclusion
Disabled older adults had a high demand for telenursing-based long-term care. Urgent actions are needed to integrate telenursing with long-term care as soon as possible. In the development of telenursing-based long-term care, it is necessary to fully consider the average family income, age and educational level of disabled older adults.
Ethical Considerations
Ethical approval was obtained from the Affiliated Hospital of Qingdao University’s research ethics committee (QYFY WZLL 25936). Since the surveyed community did not have an ethics committee, we obtained ethical approval from the hospital responsible for the health of disabled older adults, and all participation was voluntary and anonymous. This study was conducted in accordance with the Declaration of Helsinki.
Acknowledgments
We would like to acknowledge and thank all the participants in this study.
Author Contributions
Yu Wu and Yuxiu Liu contributed equally to this work.
The authors contributed to the study as follows: Yu Wu and Yuxiu Liu designed the study. Zhe Su, Yu Wu and Songwei Sun collected and analyzed the data. Yu Wu, Cuiping Liu, Wei Ding and Yufang Gao cowrote the article. All authors contributed to the data analysis, drafted or revised the article, agreed on the journal to which the article would be submitted, gave final approval of the version to be published, and agreed to be accountable for all aspects of the work.
Disclosure
The authors declare no conflicts of interest that require clarification.