Managing Patient-Generated Health Data Through Mobile Personal Health Records: Analysis of Usage Data.

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dc.contributor.authorPark, Yu Rang
dc.contributor.authorLee, Yura
dc.contributor.authorKim, Ji Young
dc.contributor.authorKim, Jeonghoon
dc.contributor.authorKim, Hae Reong
dc.contributor.authorKim, Young-Hak
dc.contributor.authorKim, Woo Sung
dc.contributor.authorLee, Jae-Ho
dc.date.accessioned2020-06-08T14:10:53Z
dc.date.available2020-06-08T14:10:53Z
dc.date.issued0000-00-00
dc.description.abstractBACKGROUND Personal health records PHRs and mHealth apps are considered essential tools for patient engagement Mobile PHRs mPHRs can be a platform to integrate patient generated health data PGHD and patients medical information However in previous studies actual usage data and PGHD from mPHRs have not been able to adequately represent patient engagement OBJECTIVE By analyzing 5 years PGHD from an mPHR system developed by a tertiary hospital in South Korea we aimed to evaluate how PGHD were managed and identify issues in PGHD management based on actual usage data Additionally we analyzed how to improve patient engagement with mPHRs by analyzing the actively used services and long term usage patterns METHODS We gathered 5 years December 2010 to December 2015 of log data from both hospital patients and general users of the app We gathered data from users who entered PGHD on body weight blood pressure BP blood glucose levels 10 year cardiovascular disease CVD risk metabolic syndrome risk medication schedule insulin and allergy We classified users according to whether they were patients or general users based on factors related to continuous use 28 days for weight BP and blood glucose and 180 days for CVD and metabolic syndrome and analyzed the patients characteristics We compared PGHD entry counts and the proportion of continuous users for each PGHD by user type RESULTS The total number of mPHR users was 18 265 patients n 16 729 91 59 with 3620 users having entered weight followed by BP n 1625 blood glucose n 1374 CVD n 764 metabolic syndrome n 685 medication n 252 insulin n 72 and allergy n 61 Of those 18 256 users 3812 users had at least one PGHD measurement of whom 175 used the PGHD functions continuously patients n 142 81 14 less than 1 of the users had used it for more than 4 years Except for weight BP blood glucose CVD and metabolic syndrome the number of PGHD records declined General users continuous use of PGHD was significantly higher than that of patients in the blood glucose PUnder 001 and BP P 03 functions Continuous use of PGHD in health management BP blood glucose and weight was significantly greater among older users PUnder 001 and men PUnder 001 In health management BP weight and blood glucose overall chronic disease and continuous use of PGHD were not statistically related P 08 but diabetes PUnder 001 and cerebrovascular diseases P 03 were significant CONCLUSIONS Although a small portion of users managed PGHD continuously PGHD has the potential to be useful in monitoring patient health To realize the potential specific groups of continuous users must be identified and the PGHD service must target them Further evaluations for the clinical application of PGHD feedback regarding user interfaces and connections with wearable devices are needed
dc.identifier.urihttp://dx.doi.org/10.2196/mhealth.9620
dc.identifier.urihttps://lib.digitalsquare.io/handle/123456789/62313
dc.relation.uriJMIR mHealth and uHealth
dc.titleManaging Patient-Generated Health Data Through Mobile Personal Health Records: Analysis of Usage Data.en
dcterms.abstractBACKGROUND Personal health records PHRs and mHealth apps are considered essential tools for patient engagement Mobile PHRs mPHRs can be a platform to integrate patient generated health data PGHD and patients medical information However in previous studies actual usage data and PGHD from mPHRs have not been able to adequately represent patient engagement OBJECTIVE By analyzing 5 years PGHD from an mPHR system developed by a tertiary hospital in South Korea we aimed to evaluate how PGHD were managed and identify issues in PGHD management based on actual usage data Additionally we analyzed how to improve patient engagement with mPHRs by analyzing the actively used services and long term usage patterns METHODS We gathered 5 years December 2010 to December 2015 of log data from both hospital patients and general users of the app We gathered data from users who entered PGHD on body weight blood pressure BP blood glucose levels 10 year cardiovascular disease CVD risk metabolic syndrome risk medication schedule insulin and allergy We classified users according to whether they were patients or general users based on factors related to continuous use 28 days for weight BP and blood glucose and 180 days for CVD and metabolic syndrome and analyzed the patients characteristics We compared PGHD entry counts and the proportion of continuous users for each PGHD by user type RESULTS The total number of mPHR users was 18 265 patients n 16 729 91 59 with 3620 users having entered weight followed by BP n 1625 blood glucose n 1374 CVD n 764 metabolic syndrome n 685 medication n 252 insulin n 72 and allergy n 61 Of those 18 256 users 3812 users had at least one PGHD measurement of whom 175 used the PGHD functions continuously patients n 142 81 14 less than 1 of the users had used it for more than 4 years Except for weight BP blood glucose CVD and metabolic syndrome the number of PGHD records declined General users continuous use of PGHD was significantly higher than that of patients in the blood glucose PUnder 001 and BP P 03 functions Continuous use of PGHD in health management BP blood glucose and weight was significantly greater among older users PUnder 001 and men PUnder 001 In health management BP weight and blood glucose overall chronic disease and continuous use of PGHD were not statistically related P 08 but diabetes PUnder 001 and cerebrovascular diseases P 03 were significant CONCLUSIONS Although a small portion of users managed PGHD continuously PGHD has the potential to be useful in monitoring patient health To realize the potential specific groups of continuous users must be identified and the PGHD service must target them Further evaluations for the clinical application of PGHD feedback regarding user interfaces and connections with wearable devices are needed
dcterms.contributorPark, Yu Rang
dcterms.contributorLee, Yura
dcterms.contributorKim, Ji Young
dcterms.contributorKim, Jeonghoon
dcterms.contributorKim, Hae Reong
dcterms.contributorKim, Young-Hak
dcterms.contributorKim, Woo Sung
dcterms.contributorLee, Jae-Ho
dcterms.identifierhttp://dx.doi.org/10.2196/mhealth.9620
dcterms.relationJMIR mHealth and uHealth
dcterms.titleManaging Patient-Generated Health Data Through Mobile Personal Health Records: Analysis of Usage Data.en
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