Effects of a Tech-Supported Care Model on Discharged Patients
Author Information
Author(s): Xia Nan, Cheng Clio Yuen Man, Lou Vivian Weiqun
Primary Institution: The University of Hong Kong
Hypothesis
The study aims to evaluate the effects of a novel service delivery model on reducing dependency among discharged patients dwelling in the community.
Conclusion
The study provides evidence that a user-centered tech-supported transitional care model can effectively reduce dependency among discharged patients.
Supporting Evidence
- 431 subjects were recruited from three local NGOs between July 2021 and June 2023.
- 286 participants completed both pre- and post-evaluations.
- The overall mean number of Clinical Assessment Protocols decreased significantly from 7.4 to 5.5.
Takeaway
This study shows that using technology can help patients who have just left the hospital to need less help at home.
Methodology
The interRAI-Home Care v9.3 was used to evaluate patients' dependency before and after receiving services.
Participant Demographics
Patients aged above 60, recruited from three local NGOs.
Statistical Information
P-Value
p < 0.001
Statistical Significance
p < 0.001
Digital Object Identifier (DOI)
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