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User perceptions of intelligent offloading diabetic footwear
Sarah L Hemler1,2, Carolyn M Sommerich3, Jorge C Correia2,4
1Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Intelligent diabetic footwear shows promising user intention. Social influence and attitude are key for adoption, guiding future design to prevent amputations and improve adherence.
Area of Science:
- Biomedical Engineering
- Diabetology
- Human-Computer Interaction
Background:
- Therapeutic footwear adherence is crucial for preventing diabetic foot ulcers and amputations.
- Intelligent offloading footwear is being developed to aid people living with diabetes (PLwD).
- Understanding user acceptance factors is vital for successful footwear implementation.
Purpose of the Study:
- To assess the Unified Theory of Acceptance and Use of Technology (UTAUT) model's predictive ability for intelligent diabetic footwear.
- To identify key factors influencing behavioral intention to use or recommend this footwear among PLwD, caregivers, and medical professionals.
Main Methods:
- An exploratory study using online and paper questionnaires.
- Assessed UTAUT factors (performance expectancy, effort expectancy, social influence, facilitating conditions) and psychosocial factors (attitude, anxiety, self-efficacy).
- Employed structural equation modeling and logistic regression analysis.
Main Results:
- Both patients and medical professionals indicated a positive intention to use/recommend the footwear.
- UTAUT model showed limited statistical significance; logistic regression highlighted social influence (for PLwD) and attitude (for medical professionals) as critical.
- Cost and clinician support emerged as significant factors for acceptance.
Conclusions:
- Promising future intention to use intelligent diabetic footwear was observed.
- Findings underscore the importance of social influence, attitude, cost, and clinician support for design and implementation.
- Continued development incorporating these factors can enhance footwear adherence and reduce amputation risk.
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