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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Format: | Article |
Language: | English |
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BMC
2022-07-01
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Series: | BMC Medical Informatics and Decision Making |
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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. |
first_indexed | 2024-12-10T23:25:22Z |
format | Article |
id | doaj.art-b116b42d1408470fbc854bb65d9c55e3 |
institution | Directory Open Access Journal |
issn | 1472-6947 |
language | English |
last_indexed | 2024-12-10T23:25:22Z |
publishDate | 2022-07-01 |
publisher | BMC |
record_format | Article |
series | BMC Medical Informatics and Decision Making |
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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