The expectations and acceptability of a smart nursing home model among Chinese older adults: a mixed methods study.

ABSTRACT:

Background

Smart 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.

Methods

This 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 Xia

SUBMITTER: Zhao Y 

PROVIDER: S-EPMC10788001 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature