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Objective:To investigate and analyze the status quo and influential factors of the elderly in the community.Methods:From July to September 2021, 543 elderly people were investigated in 9 community healthcare service centers in Hangzhou by using the Comprehensive Frailty Assessment Instrument (including four dimensions: physical, psychological, social, and environmental frailty) and the Social Support Rating Scale (including three dimensions: subjective support, objective support, and support availability). Independent sample t-test, analysis of variance, correlation analysis, and multiple linear regression were conducted to examine key determinants of frailty. Results:The total score of frailty among older adults in the community was (43.1±12.0). The results showed that the total score of social support was negatively associated with frailty of community-dwelling older adults ( r=-0.449, P<0.01); age ≥80 years old ( β=0.229, P<0.001) was positively associated with frailty; not living alone, children′s household support, children′s spiritual support, the accessibility of elderly care facilities within a 15-minute walk, and social support score were negatively associated with frailty ( β=-0.118, -0.081, -0.260, -0.155, -0.250,all P<0.05). Conclusion:The elderly in the community have a moderate degree of frailty, which affected by age, living condition, children′s support, the accessibility of elderly care facilities, and social support.
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Objective:To analyze the use and satisfaction of smart healthcare in public hospitals in Hangzhou from the perspective of patient experience.Methods:From August to September 2020, 501 patients from 2 class A tertiary hospitals and 5 community health centers in Hangzhou were randomly selected for questionnaire survey. The survey included their usage and satisfaction of smart healthcare. Based on SERVQUAL theory, the patient satisfaction scale included 5 dimensions of tangibility, reliability, reactivity, assurance, and empathy. The factors affecting patient satisfaction were analyzed by single factor and multi factor analysis.Results:The average score of patient satisfaction was 3.94±0.56. The satisfaction with tangibility(4.25±0.64), assurance(4.07±0.71)and reactivity(4.02±0.73)was higher, while the scoring of empathy(3.84±0.77)and reliability(3.52±0.70)were lower than the average score. The results of multiple linear regression analysis showed that patients′ educational level, occupational type and UTAUT score had a certain impact on satisfaction( P<0.05). Conclusions:The overall satisfaction of patients with smart healthcare in Hangzhou is high. In the future, we should pay more attention to big data security and personal privacy protection, upgrade the smart medical system, improve the hospital Internet platform, empower smart healthcare service system through digital technology, and promote the comprehensive digital transformation of health.