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Utilisation and perceptions towards smart device visual acuity assessment in Australia: a mixed methods approach

OBJECTIVES: To investigate mobile health product use in Australia and societal and clinician perceptions towards smartphone based visual acuity (VA) assessment tools. DESIGN: Quantitative analysis of a cross-sectional survey delivered to the general public and thematic analysis of in-depth interview...

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Autores principales: Keel, Stuart, Scheetz, Jane, Holloway, Edith, Han, Xiaotong, Yan, William, Mueller, Andreas, He, Mingguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6475225/
https://www.ncbi.nlm.nih.gov/pubmed/30904849
http://dx.doi.org/10.1136/bmjopen-2018-024266
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author Keel, Stuart
Scheetz, Jane
Holloway, Edith
Han, Xiaotong
Yan, William
Mueller, Andreas
He, Mingguang
author_facet Keel, Stuart
Scheetz, Jane
Holloway, Edith
Han, Xiaotong
Yan, William
Mueller, Andreas
He, Mingguang
author_sort Keel, Stuart
collection PubMed
description OBJECTIVES: To investigate mobile health product use in Australia and societal and clinician perceptions towards smartphone based visual acuity (VA) assessment tools. DESIGN: Quantitative analysis of a cross-sectional survey delivered to the general public and thematic analysis of in-depth interviews of eye health clinicians. SETTING: Online survey within Australia and face-to-face in-depth interviews of clinicians. PARTICIPANTS: 1016 adults were recruited via Survey Monkey Audience, social media (Facebook and Twitter), Rotary Australia and Lions Clubs Australia. Six clinicians were recruited from private and public settings in Melbourne, Australia. PRIMARY AND SECONDARY OUTCOME MEASURES: The study assessed socio-demographic characteristics, history of mobile health product use and perceived advantages and potential drawbacks of smartphone based VA assessment tools. RESULTS: A total of 14.4% of the study population had previously used a mobile-based health product. After adjusting for covariates, younger age (p=0.001), male gender (p=0.01) and higher income (>$45 000) were associated with increased likelihood of having used a mobile health product (p=0.005). Seventy-two per cent of participants would use an automated smartphone based VA assessment tool, provided that the accuracy was on par to that of human assessors. Convenience (37.3%) and cost-savings (15.5%) were ranked as the greatest perceived advantages. While test accuracy (50.6%), a lack of personal contact with healthcare providers (18.3%) and data security (11.9%) were the greatest concerns. Themes to emerge from clinician qualitative data included the potential benefits for identifying refractive error in patients, as well as the ability to self-monitor vision. Concerns were raised over the potential misuse of self-testing vision apps and the inability to detect pathology. CONCLUSION: Our findings suggest that a substantial proportion of the Australian population do not use mobile health products. Furthermore, there remains notable concerns, including test accuracy and data privacy, with smartphone-based VA assessment tools by both clinicians and the public.
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spelling pubmed-64752252019-05-07 Utilisation and perceptions towards smart device visual acuity assessment in Australia: a mixed methods approach Keel, Stuart Scheetz, Jane Holloway, Edith Han, Xiaotong Yan, William Mueller, Andreas He, Mingguang BMJ Open Ophthalmology OBJECTIVES: To investigate mobile health product use in Australia and societal and clinician perceptions towards smartphone based visual acuity (VA) assessment tools. DESIGN: Quantitative analysis of a cross-sectional survey delivered to the general public and thematic analysis of in-depth interviews of eye health clinicians. SETTING: Online survey within Australia and face-to-face in-depth interviews of clinicians. PARTICIPANTS: 1016 adults were recruited via Survey Monkey Audience, social media (Facebook and Twitter), Rotary Australia and Lions Clubs Australia. Six clinicians were recruited from private and public settings in Melbourne, Australia. PRIMARY AND SECONDARY OUTCOME MEASURES: The study assessed socio-demographic characteristics, history of mobile health product use and perceived advantages and potential drawbacks of smartphone based VA assessment tools. RESULTS: A total of 14.4% of the study population had previously used a mobile-based health product. After adjusting for covariates, younger age (p=0.001), male gender (p=0.01) and higher income (>$45 000) were associated with increased likelihood of having used a mobile health product (p=0.005). Seventy-two per cent of participants would use an automated smartphone based VA assessment tool, provided that the accuracy was on par to that of human assessors. Convenience (37.3%) and cost-savings (15.5%) were ranked as the greatest perceived advantages. While test accuracy (50.6%), a lack of personal contact with healthcare providers (18.3%) and data security (11.9%) were the greatest concerns. Themes to emerge from clinician qualitative data included the potential benefits for identifying refractive error in patients, as well as the ability to self-monitor vision. Concerns were raised over the potential misuse of self-testing vision apps and the inability to detect pathology. CONCLUSION: Our findings suggest that a substantial proportion of the Australian population do not use mobile health products. Furthermore, there remains notable concerns, including test accuracy and data privacy, with smartphone-based VA assessment tools by both clinicians and the public. BMJ Publishing Group 2019-03-23 /pmc/articles/PMC6475225/ /pubmed/30904849 http://dx.doi.org/10.1136/bmjopen-2018-024266 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Ophthalmology
Keel, Stuart
Scheetz, Jane
Holloway, Edith
Han, Xiaotong
Yan, William
Mueller, Andreas
He, Mingguang
Utilisation and perceptions towards smart device visual acuity assessment in Australia: a mixed methods approach
title Utilisation and perceptions towards smart device visual acuity assessment in Australia: a mixed methods approach
title_full Utilisation and perceptions towards smart device visual acuity assessment in Australia: a mixed methods approach
title_fullStr Utilisation and perceptions towards smart device visual acuity assessment in Australia: a mixed methods approach
title_full_unstemmed Utilisation and perceptions towards smart device visual acuity assessment in Australia: a mixed methods approach
title_short Utilisation and perceptions towards smart device visual acuity assessment in Australia: a mixed methods approach
title_sort utilisation and perceptions towards smart device visual acuity assessment in australia: a mixed methods approach
topic Ophthalmology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6475225/
https://www.ncbi.nlm.nih.gov/pubmed/30904849
http://dx.doi.org/10.1136/bmjopen-2018-024266
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