Study of the factors influencing the use of MyData platform based on personal health record data sharing system

Abstract Background The application of telemedicine and electronic health (eHealth) technology has grown in importance during the COVID-19 pandemic, and a new approach in personal data management and processing MyData, has emerged. Data portability and informational self-determination are fundamenta...

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Main Authors: Wona Choi, Se-Hyun Chang, Yoon-Sik Yang, Surin Jung, Seo-Joon Lee, Ji-Won Chun, Dai-Jin Kim, Woonjeong Lee, In Young Choi
Format: Article
Language:English
Published: BMC 2022-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Online Access:https://doi.org/10.1186/s12911-022-01929-z
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author Wona Choi
Se-Hyun Chang
Yoon-Sik Yang
Surin Jung
Seo-Joon Lee
Ji-Won Chun
Dai-Jin Kim
Woonjeong Lee
In Young Choi
author_facet Wona Choi
Se-Hyun Chang
Yoon-Sik Yang
Surin Jung
Seo-Joon Lee
Ji-Won Chun
Dai-Jin Kim
Woonjeong Lee
In Young Choi
author_sort Wona Choi
collection DOAJ
description Abstract Background The application of telemedicine and electronic health (eHealth) technology has grown in importance during the COVID-19 pandemic, and a new approach in personal data management and processing MyData, has emerged. Data portability and informational self-determination are fundamental concepts of MyData. This study analysed the factors that influence acceptance of the MyData platform, which, reflects the right to self-determine personal data. Methods The study involved participants having experience using the MyData platform, and the key factors of the unified theory of acceptance and use of technology were used in the research model (performance expectancy, effort expectancy, social influence, facilitation condition and behavioural intention to use). The questionnaire comprided 27 items, and system usage log data were used to confirm that behavioural intention to use affected actual use behaviour through structural equation modeling. Results In total, 1153 participants completed the survey. The goodness of fit in the structural equation model indices indicates that the data fit the research model well. Performance expectancy, social influence, and facilitating conditions had direct effects on behavioural intention to use. We used system usage log data to confirm that behavioural intention to use positively affected actual use behaviour. The impact of the main factors in the unified theory of acceptance and use of technology was not moderated by age or gender, except for performance expectancy. Conclusions This study is the first to examine the factors influencing the use of the MyData platform based on the personal health record data sharing system in Korea. In addition, the study confirmed the use behaviour of the MyData platform utilising the system’s actual usage log for each function and analysing the effect of the intention of use on actual use. Our study serves as a significant foundation for the acceptance of data portability and sharing concepts. It also lays the foundation for expanding the data economy and ecosystem in the pandemic era.
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spelling doaj.art-b116b42d1408470fbc854bb65d9c55e32022-12-22T01:29:35ZengBMCBMC Medical Informatics and Decision Making1472-69472022-07-0122111310.1186/s12911-022-01929-zStudy of the factors influencing the use of MyData platform based on personal health record data sharing systemWona Choi0Se-Hyun Chang1Yoon-Sik Yang2Surin Jung3Seo-Joon Lee4Ji-Won Chun5Dai-Jin Kim6Woonjeong Lee7In Young Choi8Department of Medical Informatics, The Catholic University of Korea College of MedicineDepartment of Medical Informatics, The Catholic University of Korea College of MedicineDepartment of Medical Informatics, The Catholic University of Korea College of MedicineDepartment of Medical Informatics, The Catholic University of Korea College of MedicineDepartment of Medical Informatics, The Catholic University of Korea College of MedicineDepartment of Medical Informatics, The Catholic University of Korea College of MedicineDepartment of Psychiatry, Seoul St. Mary’s Hospital, The Catholic University of Korea College of MedicineDepartment of Emergency Medicine, Incheon St. Mary’s Hospital, The Catholic University of Korea College of MedicineDepartment of Medical Informatics, The Catholic University of Korea College of MedicineAbstract Background The application of telemedicine and electronic health (eHealth) technology has grown in importance during the COVID-19 pandemic, and a new approach in personal data management and processing MyData, has emerged. Data portability and informational self-determination are fundamental concepts of MyData. This study analysed the factors that influence acceptance of the MyData platform, which, reflects the right to self-determine personal data. Methods The study involved participants having experience using the MyData platform, and the key factors of the unified theory of acceptance and use of technology were used in the research model (performance expectancy, effort expectancy, social influence, facilitation condition and behavioural intention to use). The questionnaire comprided 27 items, and system usage log data were used to confirm that behavioural intention to use affected actual use behaviour through structural equation modeling. Results In total, 1153 participants completed the survey. The goodness of fit in the structural equation model indices indicates that the data fit the research model well. Performance expectancy, social influence, and facilitating conditions had direct effects on behavioural intention to use. We used system usage log data to confirm that behavioural intention to use positively affected actual use behaviour. The impact of the main factors in the unified theory of acceptance and use of technology was not moderated by age or gender, except for performance expectancy. Conclusions This study is the first to examine the factors influencing the use of the MyData platform based on the personal health record data sharing system in Korea. In addition, the study confirmed the use behaviour of the MyData platform utilising the system’s actual usage log for each function and analysing the effect of the intention of use on actual use. Our study serves as a significant foundation for the acceptance of data portability and sharing concepts. It also lays the foundation for expanding the data economy and ecosystem in the pandemic era.https://doi.org/10.1186/s12911-022-01929-zPersonal health recordInformation disseminationeHealthHealth information systemInformation services
spellingShingle Wona Choi
Se-Hyun Chang
Yoon-Sik Yang
Surin Jung
Seo-Joon Lee
Ji-Won Chun
Dai-Jin Kim
Woonjeong Lee
In Young Choi
Study of the factors influencing the use of MyData platform based on personal health record data sharing system
BMC Medical Informatics and Decision Making
Personal health record
Information dissemination
eHealth
Health information system
Information services
title Study of the factors influencing the use of MyData platform based on personal health record data sharing system
title_full Study of the factors influencing the use of MyData platform based on personal health record data sharing system
title_fullStr Study of the factors influencing the use of MyData platform based on personal health record data sharing system
title_full_unstemmed Study of the factors influencing the use of MyData platform based on personal health record data sharing system
title_short Study of the factors influencing the use of MyData platform based on personal health record data sharing system
title_sort study of the factors influencing the use of mydata platform based on personal health record data sharing system
topic Personal health record
Information dissemination
eHealth
Health information system
Information services
url https://doi.org/10.1186/s12911-022-01929-z
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