# User perceptions of intelligent offloading diabetic footwear

## TL;DR

This study explores how users might accept intelligent diabetic footwear, finding that social influence and attitude are key factors.

## Contribution

The study applies the UTAUT model to diabetic footwear acceptance and identifies novel psychosocial factors influencing adoption.

## Key findings

- Patients and medical professionals showed a positive behavioral intention to use the intelligent footwear.
- Social influence and attitude were significant predictors of acceptance for patients and medical professionals.
- Cost and clinician support were identified as important factors for footwear adoption.

## Abstract

Adherence to therapeutic footwear is vital for effective diabetic foot ulcer prevention and treatment. Understanding the key adherence factors and potential barriers is important for footwear design and implementation. Our team is creating intelligent offloading footwear to prevent lower extremity amputations in people living with diabetes (PLwD). This exploratory study assessed the ability of the established Unified Theory of Acceptance and Use of Technology (UTAUT) model to predict behavioral intention to use or recommend this intelligent offloading footwear by PLwD, caregivers of PLwD, or medical professionals treating PLwD.

Online and paper questionnaires were implemented to assess the impact of the UTAUT model factors (performance expectancy, effort expectancy, social influence, facilitating conditions) and psychosocial factors (attitude, anxiety, self-efficacy) on the overall behavioral intention to use the footwear. Furthermore, factors influencing potential acceptance and rejection of the footwear were explored.

Patients (4.0/5) and medical professionals (4.1/5) showed a behavioral intention to “agree” to use or recommend the footwear when it becomes available. Structural equation modeling showed that the UTAUT constructed model may not be the best indicator for behavioral intention here based on a lack of statistical significance. However, the logistic regression modeling showed that the social influence for PLwD (p=0.004) and the attitude toward the footwear for medical professionals (p=0.001) may be the most important when designing and implementing the footwear, though several other factors (performance expectancy, effort expectancy, facilitating conditions, and self-efficacy) were also important for one or both of these populations. Additionally, cost and clinician support were shown to be important factors influencing potential acceptance of the footwear.

The study found promising intention to use the intelligent footwear in the future. This highlights the need to continue future development and implementation of the footwear to incorporate these results, thus improving the likelihood of high adherence of the footwear.