546583_Macdonald,E_2019.pdf (729.12 kB)
Download fileFactors influencing behavioural intention to use a smart shoe insole in regionally based adults with diabetes: a mixed methods study
journal contribution
posted on 2021-07-30, 06:48 authored by Emma MacdonaldEmma Macdonald, Byron PerrinByron Perrin, Nerida HyettNerida Hyett, Michael KingsleyMichael KingsleyBackground: 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 = 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. 2
Funding
This work was supported by an Australian Government Research Training Program Scholarship.
History
Publication Date
2019-01-01Journal
Journal of Foot and Ankle ResearchVolume
12Issue
1Article Number
29Pagination
9p.Publisher
Springer NatureISSN
1757-1146Rights Statement
The Authors reserves all moral rights over the deposited text and must be credited if any re-use occurs.Publisher DOI
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Keywords
Science & TechnologyLife Sciences & BiomedicineOrthopedicsDiabetes mellitusFoot ulcerationPeripheral neuropathySmart insoleWearable technologyHumansDiabetic FootDiabetes MellitusMonitoring, AmbulatoryFocus GroupsAttitude to HealthHealth BehaviorPatient ComplianceIntentionTelemedicineShoesAgedMiddle AgedAustraliaFemaleMaleBiofeedback, PsychologyFoot OrthosesWearable Electronic DevicesSmart MaterialsAcceptanceNeuropathy