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

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 theo...

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Autores principales: Macdonald, Emma M., Perrin, Byron M., Hyett, Nerida, Kingsley, Michael I. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528213/
https://www.ncbi.nlm.nih.gov/pubmed/31139261
http://dx.doi.org/10.1186/s13047-019-0340-3
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author Macdonald, Emma M.
Perrin, Byron M.
Hyett, Nerida
Kingsley, Michael I. C.
author_facet Macdonald, Emma M.
Perrin, Byron M.
Hyett, Nerida
Kingsley, Michael I. C.
author_sort Macdonald, Emma M.
collection PubMed
description 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 R(2) = 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13047-019-0340-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-65282132019-05-28 Factors influencing behavioural intention to use a smart shoe insole in regionally based adults with diabetes: a mixed methods study Macdonald, Emma M. Perrin, Byron M. Hyett, Nerida Kingsley, Michael I. C. J Foot Ankle Res Research 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 R(2) = 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13047-019-0340-3) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-20 /pmc/articles/PMC6528213/ /pubmed/31139261 http://dx.doi.org/10.1186/s13047-019-0340-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Macdonald, Emma M.
Perrin, Byron M.
Hyett, Nerida
Kingsley, Michael I. C.
Factors influencing behavioural intention to use a smart shoe insole in regionally based adults with diabetes: a mixed methods study
title Factors influencing behavioural intention to use a smart shoe insole in regionally based adults with diabetes: a mixed methods study
title_full Factors influencing behavioural intention to use a smart shoe insole in regionally based adults with diabetes: a mixed methods study
title_fullStr Factors influencing behavioural intention to use a smart shoe insole in regionally based adults with diabetes: a mixed methods study
title_full_unstemmed Factors influencing behavioural intention to use a smart shoe insole in regionally based adults with diabetes: a mixed methods study
title_short Factors influencing behavioural intention to use a smart shoe insole in regionally based adults with diabetes: a mixed methods study
title_sort factors influencing behavioural intention to use a smart shoe insole in regionally based adults with diabetes: a mixed methods study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6528213/
https://www.ncbi.nlm.nih.gov/pubmed/31139261
http://dx.doi.org/10.1186/s13047-019-0340-3
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