ArticleJournal of foot and ankle research2019
Factors influencing behavioural intention to use a smart shoe insole in regionally based adults with diabetes: a mixed methods study.
Article in Journal of foot and ankle research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.
- Getting Connected to M-Health Technologies through a Meta-Analysis.International journal of environmental research and public health · 2023Pooled it
- Patient and Provider Perspective of Smart Wearable Technology in Diabetic Foot Ulcer Prevention: A Systematic Review.Medicina (Kaunas, Lithuania) · 2021Pooled it
- Podiatrist-Delivered Health Coaching to Facilitate the Use of a Smart Insole to Support Foot Health Monitoring in People with Diabetes-Related Peripheral Neuropathy.Sensors (Basel, Switzerland) · 2021Trial
- Knowledge-Behavior Relationships and Technology Adoption Among Patients With Diabetes: A Mixed-Methods Analysis of Smart Foot Care Technology.Journal of foot and ankle research · 2025Article
- Digital Medicine Tools and the Work of Being a Patient: A Qualitative Investigation of Digital Treatment Burden in Patients With Diabetes.Mayo Clinic proceedings. Digital health · 2025Article
- Developing a Smart Sensing Sock to Prevent Diabetic Foot Ulcers: Qualitative Focus Group and Interview Study.Journal of participatory medicine · 2025Article
- Recent Innovations in Footwear and the Role of Smart Footwear in Healthcare-A Survey.Sensors (Basel, Switzerland) · 2024Review
- User perceptions of intelligent offloading diabetic footwear.Frontiers in endocrinology · 2024Article
- Habitual Physical Activity of People with or at Risk of Diabetes-Related Foot Complications.Sensors (Basel, Switzerland) · 2023Article
- Factors affecting wearable ECG device adoption by general practitioners for atrial fibrillation screening: cross-sectional study.Frontiers in public health · 2023Article
- A novel workflow to fabricate a patient-specific 3D printed accommodative foot orthosis with personalized latticed metamaterial.Medical engineering & physics · 2022Article
- Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study.JMIR human factors · 2022Article
- Factors influencing Australian podiatrists' behavioural intentions to adopt a smart insole into clinical practice: a mixed methods study.Journal of foot and ankle research · 2020Article
- Triboelectric Nanogenerator Enabled Smart Shoes for Wearable Electricity Generation.Research (Washington, D.C.) · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSmart 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.
methodsFifty-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.
resultsThe multiple regression model that best predicted intention to adopt the smart insole (adjusted R
conclusionsThis 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.