BMC Nursing (Apr 2024)
Old people’s preference for nursing homes in East China: a discrete choice experiment
Abstract
Abstract Background The aged people who live in nursing home are predicted to keep growing in the following decades. There are both quantitative imbalance and structural imbalance in the utilization of nursing homes in China. This study aimed to analyze old people’s preference for nursing homes and help the government optimize resource allocation. Methods A discrete choice experiment (DCE) was conducted and six attributes of nursing homes including monthly fee, distance from home, geographical location, medical facilities, environment of nursing homes and nursing staff were determined. Respondents were recruited from Nantong and Yangzhou city, China. In each city, two communities or villages were randomly selected. In each community/village, about 65 old people were randomly selected. Analysis was conducted using mixed logit regression models to determine preferences for potential attributes. Results A total of 233 old people were included in the analysis. The findings indicated that all six attributes were statistically significant factors for participants. “Professional nursing staff” was the most important characteristic to participants, followed by “Medical facilities”. Compared with female, the males preferred professional nursing staff (β = 2.939 vs. β = 2.643, P < 0.001), medical facilities (β = 1.890 vs. β = 1.498, P < 0.001), and the environment (β = 0.752, P < 0.01). For different age groups, participants aged 60–69 didn’t pay attention to distance and location, while those aged 80 and above only paid attention to professional nursing staff and medical facilities. Conclusions The present study provides important insights into the characteristics of nursing home that are most preferred by old people. Authorities should take into account old people’s preference in the planning, design and evaluation of nursing homes.
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