Author:
Zhang Juxia,Xu Xiaoqin,Zhang Xiaoli,Yin Yuhuan,Wang Jiancheng
Abstract
Abstract
Background
Cognitive impairment (CI) is one of the most common disabling symptoms in the elderly, and people with CI face a variety of unmet care needs. There is limited evidence on the relationship between unmet needs and quality of life (QoL) of people with CI. The aim of this study is to analyse the current situation of unmet needs and QoL among people with CI, and to explore the correlation between QoL and unmet needs.
Methods
The analyses use baseline data of the intervention trial, which recruited 378 participants to complete the questionnaire including the Camberwell Assessment of Need for the Elderly (CANE), and the Medical Outcomes Study 36-item Short-Form (SF-36). The SF-36 was further gathered into physical component summary (PCS) and mental component summary (MCS). Multiple linear regression analysis was conducted to explore the correlations between unmet care needs and PCS and MCS of SF-36.
Results
The mean score of each of the eight domains of SF-36 was significantly lower than the Chinese population norm. The incidence of unmet needs ranged from 0 to 65.1%. Multiple linear regression results showed that living in rural areas (Beta=-0.16, P < 0.001), having unmet physical needs (Beta=-0.35, P < 0.001), and unmet psychological needs (Beta=-0.24, P < 0.001) were associated with lower PCS scores, whereas duration of CI > 2 years (Beta=-0.21, P < 0.001), unmet environmental needs (Beta=-0.20, P < 0.001), and unmet psychological needs (Beta=-0.15, P < 0.001) were associated with lower MCS scores.
Conclusion
The main results support the important view that lower QoL scores are associated with unmet needs in people with CI, depending on the domain. Given that the more unmet needs can further worsen QoL, it is recommended that more strategies should be taken, especially for those with unmet care needs, so as to improve their QoL.
Funder
Natural Science Foundation of Gansu Province
Health Industry Research Plan Project of Gansu Province
National Natural Science Foundation of China
China Medical Education Association Project
Publisher
Springer Science and Business Media LLC
Subject
Geriatrics and Gerontology