Cargando…
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...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775175/ https://www.ncbi.nlm.nih.gov/pubmed/35052217 http://dx.doi.org/10.3390/healthcare10010053 |
_version_ | 1784636520528871424 |
---|---|
author | Kim, Do-Hoon Lee, Yura Oh, Ji Seon Seo, Dong-Woo Lee, Kye Hwa Kim, Young-Hak Kim, Woo Sung Lee, Jae-Ho |
author_facet | Kim, Do-Hoon Lee, Yura Oh, Ji Seon Seo, Dong-Woo Lee, Kye Hwa Kim, Young-Hak Kim, Woo Sung Lee, Jae-Ho |
author_sort | Kim, Do-Hoon |
collection | PubMed |
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; p < 0.0001) across menus (range: 0.925–1.050). Notably, improvement of PGHD management in adult females over 50 years is needed. |
format | Online Article Text |
id | pubmed-8775175 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87751752022-01-21 Effects of Patient-Generated Health Data: Comparison of Two Versions of Long-Term Mobile Personal Health Record Usage Logs Kim, Do-Hoon Lee, Yura Oh, Ji Seon Seo, Dong-Woo Lee, Kye Hwa Kim, Young-Hak Kim, Woo Sung Lee, Jae-Ho Healthcare (Basel) Article 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; p < 0.0001) across menus (range: 0.925–1.050). Notably, improvement of PGHD management in adult females over 50 years is needed. MDPI 2021-12-28 /pmc/articles/PMC8775175/ /pubmed/35052217 http://dx.doi.org/10.3390/healthcare10010053 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kim, Do-Hoon Lee, Yura Oh, Ji Seon Seo, Dong-Woo Lee, Kye Hwa Kim, Young-Hak Kim, Woo Sung Lee, Jae-Ho Effects of Patient-Generated Health Data: Comparison of Two Versions of Long-Term Mobile Personal Health Record Usage Logs |
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 | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775175/ https://www.ncbi.nlm.nih.gov/pubmed/35052217 http://dx.doi.org/10.3390/healthcare10010053 |
work_keys_str_mv | AT kimdohoon effectsofpatientgeneratedhealthdatacomparisonoftwoversionsoflongtermmobilepersonalhealthrecordusagelogs AT leeyura effectsofpatientgeneratedhealthdatacomparisonoftwoversionsoflongtermmobilepersonalhealthrecordusagelogs AT ohjiseon effectsofpatientgeneratedhealthdatacomparisonoftwoversionsoflongtermmobilepersonalhealthrecordusagelogs AT seodongwoo effectsofpatientgeneratedhealthdatacomparisonoftwoversionsoflongtermmobilepersonalhealthrecordusagelogs AT leekyehwa effectsofpatientgeneratedhealthdatacomparisonoftwoversionsoflongtermmobilepersonalhealthrecordusagelogs AT kimyounghak effectsofpatientgeneratedhealthdatacomparisonoftwoversionsoflongtermmobilepersonalhealthrecordusagelogs AT kimwoosung effectsofpatientgeneratedhealthdatacomparisonoftwoversionsoflongtermmobilepersonalhealthrecordusagelogs AT leejaeho effectsofpatientgeneratedhealthdatacomparisonoftwoversionsoflongtermmobilepersonalhealthrecordusagelogs |