Evidence map›Paper›PMID 42668923›Full record

ArticleDigital health

Healthcare professionals' intention to adopt a smart diabetic foot screening system: A UTAUT-informed mixed-methods study.

Ting-Ting Yeh, Jawl-Shan Huang, Yun-Jui Wu

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Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Ting-Ting YehMaster Degree Program in Health and Long-term Care Industry, College of Medicine, Chang Gung University, Taoyuan, Taiwan.ORCID https://orcid.org/0000-0001-7341-6793
Jawl-Shan HuangDivision of Endocrinology and Metabolism, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.
Yun-Jui WuMaster Degree Program in Health and Long-term Care Industry, College of Medicine, Chang Gung University, Taoyuan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetic foot ulcers are serious but potentially preventable diabetes complications. Although smart screening technologies may support early detection, their routine clinical uptake remains limited, and factors shaping healthcare professionals' willingness to adopt such tools are insufficiently understood. Objective: This study examined determinants of healthcare professionals' behavioral intention to adopt FootHow, a smart diabetic foot screening system, using the Unified Theory of Acceptance and Use of Technology (UTAUT). Because participants evaluated FootHow after a standardized demonstration rather than hands-on clinical use, the outcome represents anticipated adoption intention, not observed adoption behavior. Methods: We conducted a cross-sectional survey of 80 healthcare professionals from two medical centers in Taiwan. Seven UTAUT-related constructs and behavioral intention were measured using a structured questionnaire. Quantitative data were analyzed using descriptive statistics, bivariate correlations, and multiple linear regression. Optional semi-structured interviews with a subset of participants were analyzed using inductive content analysis to contextualize the quantitative findings. Results: Participants reported generally favorable perceptions of FootHow. In bivariate analyses, attitude, effort expectancy, self-efficacy, and social influence were significantly associated with behavioral intention. In the multivariable model, attitude was the only independent predictor of behavioral intention (β=0.605, P<.01), and the model explained 36% of the variance in intention. Qualitative findings suggested that FootHow was perceived as valuable for early detection, patient awareness, and workflow efficiency, but concerns remained regarding accessibility for older adults, device reliability and hygiene, and affordability. Conclusions: Provider attitude was the strongest independent determinant of anticipated intention to adopt FootHow. Implementation strategies for preventive digital health technologies should therefore address provider attitudes while also strengthening workflow fit, usability, affordability, and transparent evidence regarding model performance and operational reliability. Longitudinal and pilot implementation studies are needed to determine whether these intentions translate into sustained clinical adoption.

Indexed as

diabetic foot screeningdiabetic foot ulcersdigital healthhealthcare professionalsimplementation sciencetechnology adoptionUTAUT

Identifiers

PMID42668923
PMCPMC13525315

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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.