Aim: The increase in empty-nest elderly individuals with chronic diseases poses a major challenge to the provision of public health services in China. Telenursing can effectively relieve the pressure of public health services to a certain extent. This study aims to explore the telenursing needs of empty-nest elderly individuals with chronic diseases based on the Kano model to provide references for improving the quality of telenursing.
Methods: Participants were selected from five rural communities and five urban communities in Yangzhou and Nantong, Jiangsu Province, China. A total of 348 empty-nest elderly individuals with chronic diseases were included. The participants received a sociodemographic characteristics questionnaire, and their telenursing needs were surveyed and analyzed based on the Kano model.
Results: Of the 15 quality attributes evaluated by the participants, 3 telenursing services were categorized as "must-be quality", 5 were categorized as "one-dimensional quality", 5 were categorized as "attractive quality", and 2 were categorized as "indifferent quality". The proportion of individuals who desired telenursing services ranged from 47.41 to 83.62%, the better values (satisfaction) ranged from 35.29-83.98%, and the worse values (dissatisfaction) ranged from 10.91 to 63.27%. There were no significant differences in any items of telenursing needs for between participants in Yangzhou and Nantong (all > 0.05), and there were also no significant differences in all items between rural and urban communities (all > 0.05).
Conclusion: Based on the Kano model, it was found that empty-nest elderly individuals with chronic diseases had a positive attitude toward telenursing and that they had different levels of need for different telenursing services. These findings provided a theoretical basis for medical decision-makers to formulate medical policies and provided a scientific foundation for nursing managers to improve telenursing services to meet the needs of the empty-nest elderly individuals with chronic diseases.
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http://dx.doi.org/10.3389/fpubh.2022.990295 | DOI Listing |
BMC Geriatr
December 2024
Department of Nursing, Daqing Campus, Harbin Medical University, 39 Xinyang Road, Daqing, 163319, China.
Objectives: This study aimed to examine Intrinsic Capacity (IC) subgroups and the association of IC subgroups with IC predictors in Chinese urban empty nesters.
Methods: A convenient sample of 385 older adults aged 60 and above in Community Health Service Center was recruited from Hei Longjiang Province, China, between June 2023 and December 2023. Latent class Analysis (LCA) was conducted to explore IC subgroups using the sensory, cognition, locomotion, psychological, and vitality domains of IC as input variables.
Front Public Health
December 2024
The Affiliated Wenzhou Kangning Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China.
BMC Public Health
November 2024
Center of Experimental Economics in Education, Shaanxi Normal University, No. 620 West Chang'an Street, Chang'an District, Xi'an, Shaanxi Province, 710119, China.
Background: With the intensification of aging, depression among the older adults has become a significant global health challenge, especially in developing countries where the problem is particularly severe. This study aims to explore the association between living arrangements and depression, with a specific focus on examining the mediating role of social support in rural northwest China.
Methods: Data were collected from 501 individuals aged 60 and above in rural Shaanxi Province, northwest China.
Adv Life Course Res
December 2024
University of Erlangen-Nuremberg, Findelgasse 7/9, 90402 Nuremberg Germany. Electronic address:
This article investigates the effect of adult children leaving the parental home on parental well-being. Adult children moving out is an important event in parents' lives. However, it is theoretically unclear whether parental well-being decreases or increases from children moving out.
View Article and Find Full Text PDFBMC Geriatr
October 2024
School of Economics and Management, Xidian University, No. 266 Xinglong Section of Xifeng Road, Chang'an District, Xi'an, 710126, China.
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