Articlegold2019

Factors influencing behavioural intention to use a smart shoe insole in regionally based adults with diabetes: a mixed methods study

Emma M. Macdonald · Byron Perrin · Nerida Hyett · Michael Kingsley

39 citations0/0 files storedJournal of Foot and Ankle Research

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Technology Adoption and User Behaviour Mobile Health and mHealth Applications Diabetic Foot Ulcer Assessment and Management

Abstract

Abstract Background Smart insole technologies that provide biofeedback on foot health can support foot‐care in adults with diabetes. However, the factors that influence patient uptake and acceptance of this technology are unclear. Therefore, the aim of this mixed‐methods study was to use an established theoretical framework to determine a model of psychosocial factors that best predicts participant intention to use smart insoles. Methods Fifty‐three adults with diabetes from regional Australia completed the validated Unified Theory of Acceptance and Use of Technology (UTAUT) questionnaire. Multiple regression analysis was used to determine the psychosocial factors that best predict behavioural intention to adopt a smart insole. Additionally, a focus group was conducted and thematic analysis was performed to explore barriers and enablers to adopting this technology. Results The multiple regression model that best predicted intention to adopt the smart insole (adjusted R2 = 0.51, p < 0.001) identified that self‐efficacy (β = 0.67, p = 0.001) and attitude (β = 0.72, p < 0.001) were significant predictors of behavioural intention, while effort expectancy (β = − 0.52, p = 0.003) and performance expectancy (β = − 0.40, p = 0.040) were moderating factors. Thematic analysis illustrates the importance of attitude and self‐efficacy on participants' behavioural intentions, influenced by participant's belief in the device's clinical efficacy and anticipated effort expectancy. Conclusions This mixed‐methods study demonstrates that attitude, self‐efficacy, performance expectancy and effort expectancy combine to predict intention to adopt smart insole technology. Clinicians should consider these psychosocial factors when they prescribe and implement smart soles with patients at high risk of foot ulceration.

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References

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2021Towards Pharma 4.0 in clinical trials: A future-orientated perspective 2020Factors influencing Australian podiatrists' behavioural intentions to adopt a smart insole into clinical practice: a mixed methods study 2023Factors affecting wearable ECG device adoption by general practitioners for atrial fibrillation screening: cross-sectional study 2021Conventional vs. disruptive products: a wearables and insideables acceptance analysis

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