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Factors influencing Australian podiatrists’ behavioural intentions to adopt a smart insole into clinical practice: a mixed methods study
BACKGROUND: Diabetes is the leading cause of lower limb amputation in Australia, costing the Australian health care system an estimated A$1.6 billion annually. Podiatrists are the primary foot health care provider in Australia. Research suggests that health professional attitudes can impact patient...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268265/ https://www.ncbi.nlm.nih.gov/pubmed/32487234 http://dx.doi.org/10.1186/s13047-020-00396-x |
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author | Macdonald, Emma M. Perrin, Byron M. Kingsley, Michael I. C. |
author_facet | Macdonald, Emma M. Perrin, Byron M. Kingsley, Michael I. C. |
author_sort | Macdonald, Emma M. |
collection | PubMed |
description | BACKGROUND: Diabetes is the leading cause of lower limb amputation in Australia, costing the Australian health care system an estimated A$1.6 billion annually. Podiatrists are the primary foot health care provider in Australia. Research suggests that health professional attitudes can impact patient utilisation of e-health technologies, such as wearable foot monitoring devices aimed at preventing foot ulceration. The aim of this study was to explore factors that impact the intentions of Australian podiatrists to adopt smart insole foot monitoring technology. METHODS: A mixed methods explanatory sequential design was undertaken. One hundred and eleven Australian podiatrists completed an online version of the validated Unified Theory of Acceptance and Use of Technology (UTAUT) questionnaire. Multiple regression analysis was used to determine the strongest predictive model of podiatrists’ behavioural intention to adopt technology. Additionally, two focus groups were conducted, and thematic analysis was performed to explore podiatrists’ perceived barriers and enablers to smart insole adoption. RESULTS: One hundred and eleven Australian podiatrists completed the online UTAUT questionnaire. The majority of respondents practiced in the private sector (58.6%) and were female (50.5%), with Victoria the most common practice location (39.6%). Significant positive correlations existed between behavioural intention and six psychosocial domains including performance expectancy (r = 0.64, p < 0.001), effort expectancy (r = 0.47, p < 0.001), attitude (r = 0.55, p < 0.001), social influence (r = 0.45, p < 0.001), facilitating conditions (r = 0.36, p < 0.001), and self-efficacy (r = 0.30, p < 0.002). Multiple regression analysis determined that performance expectancy alone was most predictive of behavioural intention to adopt a smart insole into clinical practice (adjusted R(2) = 42%, p < 0.001). Qualitative analyses revealed that podiatrists believed that the insole would increase patient knowledge, engagement and self-efficacy. However, concerns were raised about cost, footwear issues and the device’s utility with elderly and remote populations. CONCLUSIONS: Performance expectancy was the most important psychosocial factor predicting the intentions of Australian podiatrists to adopt smart insole foot monitoring technologies. While Australian podiatrists are open to adopting smart insoles into clinical practice, evidence of the device’s efficacy is a precursor to adoption. Other perceived barriers to adoption including device cost, compatibility with off-loading, footwear issues and patient age also need to be addressed prior to implementation and clinical adoption. |
format | Online Article Text |
id | pubmed-7268265 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72682652020-06-07 Factors influencing Australian podiatrists’ behavioural intentions to adopt a smart insole into clinical practice: a mixed methods study Macdonald, Emma M. Perrin, Byron M. Kingsley, Michael I. C. J Foot Ankle Res Research BACKGROUND: Diabetes is the leading cause of lower limb amputation in Australia, costing the Australian health care system an estimated A$1.6 billion annually. Podiatrists are the primary foot health care provider in Australia. Research suggests that health professional attitudes can impact patient utilisation of e-health technologies, such as wearable foot monitoring devices aimed at preventing foot ulceration. The aim of this study was to explore factors that impact the intentions of Australian podiatrists to adopt smart insole foot monitoring technology. METHODS: A mixed methods explanatory sequential design was undertaken. One hundred and eleven Australian podiatrists completed an online version of the validated Unified Theory of Acceptance and Use of Technology (UTAUT) questionnaire. Multiple regression analysis was used to determine the strongest predictive model of podiatrists’ behavioural intention to adopt technology. Additionally, two focus groups were conducted, and thematic analysis was performed to explore podiatrists’ perceived barriers and enablers to smart insole adoption. RESULTS: One hundred and eleven Australian podiatrists completed the online UTAUT questionnaire. The majority of respondents practiced in the private sector (58.6%) and were female (50.5%), with Victoria the most common practice location (39.6%). Significant positive correlations existed between behavioural intention and six psychosocial domains including performance expectancy (r = 0.64, p < 0.001), effort expectancy (r = 0.47, p < 0.001), attitude (r = 0.55, p < 0.001), social influence (r = 0.45, p < 0.001), facilitating conditions (r = 0.36, p < 0.001), and self-efficacy (r = 0.30, p < 0.002). Multiple regression analysis determined that performance expectancy alone was most predictive of behavioural intention to adopt a smart insole into clinical practice (adjusted R(2) = 42%, p < 0.001). Qualitative analyses revealed that podiatrists believed that the insole would increase patient knowledge, engagement and self-efficacy. However, concerns were raised about cost, footwear issues and the device’s utility with elderly and remote populations. CONCLUSIONS: Performance expectancy was the most important psychosocial factor predicting the intentions of Australian podiatrists to adopt smart insole foot monitoring technologies. While Australian podiatrists are open to adopting smart insoles into clinical practice, evidence of the device’s efficacy is a precursor to adoption. Other perceived barriers to adoption including device cost, compatibility with off-loading, footwear issues and patient age also need to be addressed prior to implementation and clinical adoption. BioMed Central 2020-06-01 /pmc/articles/PMC7268265/ /pubmed/32487234 http://dx.doi.org/10.1186/s13047-020-00396-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Macdonald, Emma M. Perrin, Byron M. Kingsley, Michael I. C. Factors influencing Australian podiatrists’ behavioural intentions to adopt a smart insole into clinical practice: a mixed methods study |
title | Factors influencing Australian podiatrists’ behavioural intentions to adopt a smart insole into clinical practice: a mixed methods study |
title_full | Factors influencing Australian podiatrists’ behavioural intentions to adopt a smart insole into clinical practice: a mixed methods study |
title_fullStr | Factors influencing Australian podiatrists’ behavioural intentions to adopt a smart insole into clinical practice: a mixed methods study |
title_full_unstemmed | Factors influencing Australian podiatrists’ behavioural intentions to adopt a smart insole into clinical practice: a mixed methods study |
title_short | Factors influencing Australian podiatrists’ behavioural intentions to adopt a smart insole into clinical practice: a mixed methods study |
title_sort | factors influencing australian podiatrists’ behavioural intentions to adopt a smart insole into clinical practice: a mixed methods study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268265/ https://www.ncbi.nlm.nih.gov/pubmed/32487234 http://dx.doi.org/10.1186/s13047-020-00396-x |
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