Exploring Bed Sensor Sleep Technology in Geriatric Care
Author Information
Author(s): Acosta Cromwell, Zhao Yong, Lawrence Joanna, Towell Michelle, MacKay-Dunn Marion, D’Oyley Heather, Chow Bryan, Hung Lillian
Primary Institution: University of British Columbia Hospital
Hypothesis
How do staff members perceive the use of bed sensor technology compared to traditional sleep monitoring methods?
Conclusion
Bed sensor technology is seen as more efficient and data-driven than traditional methods, despite some barriers to its adoption.
Supporting Evidence
- Traditional paper-based sleep logs are prone to inaccuracies.
- Bed sensor technology is perceived as efficient and evidence-supported.
- Barriers to adoption include resistance to change and consent issues.
- Facilitating factors include training and effective communication.
Takeaway
This study looked at how hospital staff feel about using new bed sensors to track sleep instead of old paper logs, finding that the new tech is better but has some challenges.
Methodology
Interviews and focus groups were conducted with 29 staff members using Interpretive Descriptive methodology.
Limitations
Barriers to technology adoption include resistance to change and patient comfort concerns.
Participant Demographics
Staff members with diverse roles in one inpatient setting.
Digital Object Identifier (DOI)
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