ArticleBMC nursing2024
The expectations and acceptability of a smart nursing home model among Chinese older adults: a mixed methods study.
Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- The Role of Artificial Intelligence in Enhancing Quality of Care in Nursing Homes: A Rapid Review.Healthcare (Basel, Switzerland) · 2026Review
- Intelligent living environments and older adults' health outcomes: roles of social support and self-efficacy.BMC public health · 2026Article
- Urban Chinese Community-Dwelling Older Adults' Expectations Regarding the Delivery of Integrated Care Through Case Managers: Protocol for a Mixed Methods Study.JMIR research protocols · 2025Article
- Research on the Implementation Status and Optimization Path of "Internet + Nursing Service" from the Perspective of Grade Hospital Difference: A Multi-Dimensional Empirical Study Based on Online Nurses in Quzhou City.Journal of multidisciplinary healthcare · 2025Article
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Authors and funding
6 authors.
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Abstract
backgroundSmart nursing homes (SNHs) integrate advanced technologies, including IoT, digital health, big data, AI, and cloud computing to optimise remote clinical services, monitor abnormal events, enhance decision-making, and support daily activities for older residents, ensuring overall well-being in a safe and cost-effective environment. This study developed and validated a 24-item Expectation and Acceptability of Smart Nursing Homes Questionnaire (EASNH-Q), and examined the levels of expectations and acceptability of SNHs and associated factors among older adults in China.
methodsThis was an exploratory sequential mixed methods study, where the qualitative case study was conducted in Hainan and Dalian, while the survey was conducted in Xi'an, Nanjing, Shenyang, and Xiamen. The validation of EASNH-Q also included exploratory and confirmatory factor analyses. Multinomial logistic regression analysis was used to estimate the determinants of expectations and acceptability of SNHs.
resultsThe newly developed EASNH-Q uses a Likert Scale ranging from 1 (strongly disagree) to 5 (strongly agree), and underwent validation and refinement from 49 items to the final 24 items. The content validity indices for relevance, comprehensibility, and comprehensiveness were all above 0.95. The expectations and acceptability of SNHs exhibited a strong correlation (r = 0.85, p < 0.01), and good test-retest reliability for expectation (0.90) and acceptability (0.81). The highest tertile of expectations (X
conclusionsEASNH-Q demonstrated commendable validity, reliability, and stability. The majority of Chinese older adults have high expectations for and accept SNHs. Self-efficacy in applying smart technologies and willingness to relocate to a nursing home associated with high expectations and acceptability of SNHs.
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