Effects of Patient-Generated Health Data: Comparison of Two Versions of Long-Term Mobile Personal Health Record Usage Logs
Patient-generated health data (PGHD) can be managed easily by a mobile personal health record (mPHR) and can increase patient engagement. This study investigated the effect of PGHD functions on mPHR usage. We collected usage log data from an mPHR app, My Chart in My Hand (MCMH), for seven years. We...
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| Format: | Article |
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MDPI AG
2021-12-01
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| Series: | Healthcare |
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| Online Access: | https://www.mdpi.com/2227-9032/10/1/53 |
| _version_ | 1797493740326092800 |
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| author | Do-Hoon Kim Yura Lee Ji Seon Oh Dong-Woo Seo Kye Hwa Lee Young-Hak Kim Woo Sung Kim Jae-Ho Lee |
| author_facet | Do-Hoon Kim Yura Lee Ji Seon Oh Dong-Woo Seo Kye Hwa Lee Young-Hak Kim Woo Sung Kim Jae-Ho Lee |
| author_sort | Do-Hoon Kim |
| collection | DOAJ |
| description | Patient-generated health data (PGHD) can be managed easily by a mobile personal health record (mPHR) and can increase patient engagement. This study investigated the effect of PGHD functions on mPHR usage. We collected usage log data from an mPHR app, My Chart in My Hand (MCMH), for seven years. We analyzed the number of accesses and trends for each menu by age and sex according to the version-up. Generalized estimating equation (GEE) analysis was used to determine the likelihood of continuous app usage according to the menus and version-up. The total number of users of each version were 15,357 and 51,553, respectively. Adult females under 50 years were the most prevalent user group (30.0%). The “My Chart” menu was the most accessed menu, and the total access count increased by ~10 times after the version-up. The “Health Management” menu designed for PGHD showed the largest degree of increase in its likelihood of continuous usage after the version-up (1.245; <i>p</i> < 0.0001) across menus (range: 0.925–1.050). Notably, improvement of PGHD management in adult females over 50 years is needed. |
| first_indexed | 2024-03-10T01:24:20Z |
| format | Article |
| id | doaj.art-db1dcc7352784cc09b52d4351aa6cbf8 |
| institution | Directory Open Access Journal |
| issn | 2227-9032 |
| language | English |
| last_indexed | 2024-03-10T01:24:20Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Healthcare |
| spelling | doaj.art-db1dcc7352784cc09b52d4351aa6cbf82023-11-23T13:54:56ZengMDPI AGHealthcare2227-90322021-12-011015310.3390/healthcare10010053Effects of Patient-Generated Health Data: Comparison of Two Versions of Long-Term Mobile Personal Health Record Usage LogsDo-Hoon Kim0Yura Lee1Ji Seon Oh2Dong-Woo Seo3Kye Hwa Lee4Young-Hak Kim5Woo Sung Kim6Jae-Ho Lee7Department of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, KoreaDepartment of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, KoreaDepartment of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, KoreaDepartment of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, KoreaDepartment of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, KoreaDepartment of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, KoreaDepartment of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, KoreaDepartment of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, KoreaPatient-generated health data (PGHD) can be managed easily by a mobile personal health record (mPHR) and can increase patient engagement. This study investigated the effect of PGHD functions on mPHR usage. We collected usage log data from an mPHR app, My Chart in My Hand (MCMH), for seven years. We analyzed the number of accesses and trends for each menu by age and sex according to the version-up. Generalized estimating equation (GEE) analysis was used to determine the likelihood of continuous app usage according to the menus and version-up. The total number of users of each version were 15,357 and 51,553, respectively. Adult females under 50 years were the most prevalent user group (30.0%). The “My Chart” menu was the most accessed menu, and the total access count increased by ~10 times after the version-up. The “Health Management” menu designed for PGHD showed the largest degree of increase in its likelihood of continuous usage after the version-up (1.245; <i>p</i> < 0.0001) across menus (range: 0.925–1.050). Notably, improvement of PGHD management in adult females over 50 years is needed.https://www.mdpi.com/2227-9032/10/1/53personal health recordsmobile healthpatient-generated health datapatient engagement |
| spellingShingle | Do-Hoon Kim Yura Lee Ji Seon Oh Dong-Woo Seo Kye Hwa Lee Young-Hak Kim Woo Sung Kim Jae-Ho Lee Effects of Patient-Generated Health Data: Comparison of Two Versions of Long-Term Mobile Personal Health Record Usage Logs Healthcare personal health records mobile health patient-generated health data patient engagement |
| title | Effects of Patient-Generated Health Data: Comparison of Two Versions of Long-Term Mobile Personal Health Record Usage Logs |
| title_full | Effects of Patient-Generated Health Data: Comparison of Two Versions of Long-Term Mobile Personal Health Record Usage Logs |
| title_fullStr | Effects of Patient-Generated Health Data: Comparison of Two Versions of Long-Term Mobile Personal Health Record Usage Logs |
| title_full_unstemmed | Effects of Patient-Generated Health Data: Comparison of Two Versions of Long-Term Mobile Personal Health Record Usage Logs |
| title_short | Effects of Patient-Generated Health Data: Comparison of Two Versions of Long-Term Mobile Personal Health Record Usage Logs |
| title_sort | effects of patient generated health data comparison of two versions of long term mobile personal health record usage logs |
| topic | personal health records mobile health patient-generated health data patient engagement |
| url | https://www.mdpi.com/2227-9032/10/1/53 |
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