# Development of a MyData Platform Based on the Personal Health Record Data Sharing System in Korea
## 4 Evaluation
### Usage Results  
The developed HiMD platform was adopted by participants at three university hospital (Seoul St. Mary's Hospital, Incheon St. Mary's Hospital and Kyung Hee University Hospital in Korea) health examination centres to analyse the usage results of participants. The usage results are presented in four categories: demographic characteristics, data consent analysis, transferred data company category analysis and satisfaction and intention-to-use analysis. A survey was conducted with 2533 actual system users. Among these users, those who did not agree to participate (\(n=1264\)) were excluded. Therefore, 1269 users participated in the survey. The demographic characteristics are presented in Table 2.  
The results reveal that among the 1269 participants, females accounted for the vast majority with only 278 males (21.9%) and 991 females (78.1%). The age group with the highest usage was 30 to 39 year (\(n=465\), 36.6%), followed by 20 to 29 year (\(n=359\), 28.3%), 40 to 49 t (\(n=267\), 21.0%) and over 50 year (\(n=178\), 14.0%). Among the three participating hospitals, most of the participants who agreed were from Hospital A (\(n=835\), 65.8%), followed by Hospital B (\(n=318\), 25.1%) and Hospital C (\(n=116\), 9.1%). The data consent results are presented in Table 3. These results refer to the categories for which the participants granted permission to use their data. The results revealed that 1204 users agreed to give permission to use the search service for their data within the HiMD platform (94.9%). Additionally, 1161 participants agreed that their data could be downloaded (91.5%) and 1066 participants agreed that their data could be shared. Only 1007 participants allowed private companies to use their data commercially (79.4%). \begin{table}
\begin{tabular}{l l l l l} \hline \hline
**Demographic** & **Category** & **Participants (=n)** & **Percent (\%)** &
\begin{tabular}{l} **Cumulative** \\ **Percent (\%)** \\ \end{tabular} \\ \hline Total & & 1269 & 100.0 & 100.0 \\ \hline Gender & Male & 278 & 21.9 & 21.9 \\  & Female & 991 & 78.1 & 100.0 \\ \hline Age & 20–29 & 359 & 28.3 & 28.3 \\  & 30–39 & 465 & 36.6 & 64.9 \\  & 40–49 & 267 & 21.0 & 85.9 \\  & \(\geq\)50 & 178 & 14.0 & 100.0 \\ \hline Hospital & Hospital A & 835 & 65.8 & 65.8 \\  & Hospital B & 318 & 25.1 & 90.9 \\  & Hospital C & 116 & 9.1 & 100.0 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Demographic characteristics. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline  & **Searching** & **Downloading** & \
\begin{tabular}{c} **Data** \\ **Sharing** \\ \end{tabular} &
\begin{tabular}{c} **Data** \\ **Transerring** \\ \end{tabular} & **Total** \\ \hline \(n\) & 1204 & 1161 & 1066 & 1007 & 1269 \\ (\%) & (94.9\%) & (91.5\%) & (84.0\%) & (79.4\%) & (100\%) \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Data consensus analysis. The results of the analysis of the data company categories are presented in Table 4. These results represent how many participants allowed various companies to use their data. Only the participants who agreed to data use allowance for companies in Table 3 were analysed (total \(n\) = 1007). 888 participants (81.2%) gave data permission for gene sequencing to cancer-related companies (A). Additionally, 707 users (70.2%), 357 users (35.5%) and 240 participants (23.8%) gave permission to chronic disease management companies, home meal replacement service companies and mental healthcare companies, respectively. The satisfaction and intention-to-use analysis results for all participants who provided informed consent (\(n\) = 1269) are presented. According to [PERSON] et al. [21; 22], satisfaction refers to a user's positive reaction to a system, which influences their long-term consistent impressions of the system. Intention to use refers to the attitude and subjective opinion of an individual regarding the use of a particular system. [PERSON] found that people with a high intention to use have a strong tendency to adopt a certain technology positively [23; 24].