BMC Geriatrics (Jun 2024)

The association between internet use and the choice of medical institution among Chinese older adults

  • Liuying Wang,
  • Zirong Cheng,
  • Li Ye,
  • Lijuan Rong,
  • Ching-Wen Chien,
  • Tao-Hsin Tung

DOI
https://doi.org/10.1186/s12877-024-04994-3
Journal volume & issue
Vol. 24, no. 1
pp. 1 – 9

Abstract

Read online

Abstract Background As older people have complex medical needs and still encounter challenges in accessing online health information, the relationship between Internet use and the choice of medical institution made by them is unclear, and we aimed to examine this relationship. Methods Data from the newly released 2020 China Family Panel Survey database were used. Furthermore, we used descriptive statistics to analyze the background characteristics of the sample and a logistic regression model to estimate the impact of Internet use on the choice of medical institution made by older adults. We conducted a stratified analysis to explore the influence of different characteristics on the relationship between Internet use and the choice of medical institution. Results Totally 4,948 older adults were included. Multivariate logistic regression showed that, compared to non-Internet users, Internet users were less likely to choose community health service centers over general hospitals (P < 0.001, OR = 0.667, 95CI%: 0.558–0.797). The subgroup analyses found that Internet use only had an impact on the choice of medical institution in older adults aged 65–69 years, those with partners, those with primary or secondary education, those residing in urban areas, those without medical insurance, those with a self-rated health status as average or healthy, those with unchanged or better health trend, and those without chronic disease. The effect of Internet use on the choice of medical institution did not differ by sex, satisfaction, or trust in doctors. Conclusion Internet use may significantly affect older adults’ tendency to choose general hospitals to meet their daily medical needs. The subgroup analyses indicated that different characteristics of older people affected this association.

Keywords