scholarly journals Effects of Patient-Generated Health Data: Comparison of Two Versions of Long-Term Mobile Personal Health Record Usage Logs

Healthcare ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 53
Author(s):  
Do-Hoon Kim ◽  
Yura Lee ◽  
Ji Seon Oh ◽  
Dong-Woo Seo ◽  
Kye Hwa Lee ◽  
...  
Keyword(s):  
Health Management ◽  
Personal Health Record ◽  
Estimating Equation ◽  
Health Data ◽  
Generalized Estimating Equation ◽  
Personal Health ◽  
Health Record ◽  
Data Comparison ◽  
Adult Females

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.

Mobile Personal Health Record Usage Differences According to Age and Sex: Long-term Observational Study (Preprint)

2020 ◽  
Author(s):  
Do-Hoon Kim ◽  
Yura Lee ◽  
Ji Seon Oh ◽  
Dong-Woo Seo ◽  
Kye Hwa Lee ◽  
...  
Keyword(s):  
Health Management ◽  
Personal Health Record ◽  
Easy Access ◽  
Personal Health ◽  
Health Record ◽  
User Characteristics ◽  
Observation Study ◽  
Log Data ◽  
Age And Sex

BACKGROUND Mobile personal health record (mPHR) provides easy access to personal medical information and helps health management for patients. To ensure active utilization of the mPHR, it is necessary to provide user-customized functions by analyzing the usage logs. Asan Medical Center, a tertiary hospital in Seoul, South Korea, developed a tethered mPHR application called My Chart in My Hand (MCMH) in 2011 and upgraded the application to MCMH 2.0 in 2016. OBJECTIVE To investigate the usage trends and pattern according to user characteristics by analyzing a long-term log data of an mPHR application. METHODS We collected the log data of the MCMH 1.0 from January 2011 to November 2015 and MCMH 2.0 from February 2016 to May 2018. The access counts and trends in each menu were analyzed according to version-up by segmented linear regression analysis. The monthly average access count and monthly access count per user in each menu were compared according to age and sex using the Wilcoxon rank-sum test. RESULTS The total number of users of the MCMH 1.0 and MCMH 2.0 were 15,357 and 51,553. The proportion of males was higher than females (51.3 % vs. 48.7 %). But females under 50 (19-50 years) were the most prevalent user group (30.0 %). After version-up, the total access numbers of the MCMH (4,240,403 vs. 18,518,700) and access count per month (73,110 vs. 661,382) increased. “My chart” menu was the most accessed menu in all groups, and total number of access counts was steeply increased by approximately ten times after version-up. The median value of average monthly access also increased in all menus after version-up (P<.001) except for “Today’s medication”. The children and adolescent group accessed the “My chart” menu and the “Online appointment” menu more frequently than the other groups, and also showed the highest degree of increase in their access to these menus after version-up. The access counts of the “Health management” menu did not increase after version-up in children and adolescents and females 50 years or older. CONCLUSIONS In this long-term observation study, we found that use of the mPHR application increased over time and that a major update of the application accelerated this trend. The usage pattern of the mPHR and the effect of version-up were significantly different according to the user’s age and sex. The user characteristics revealed in this study may be helpful in developing mPHR applications.

scholarly journals Examining attitudes toward and ability to interact with an online personal health record: A case study in Saudi Arabia

2019 ◽  
Vol 6 (1) ◽  
pp. 1 ◽  
Author(s):  
Bandar Faisal Al-Mifgai ◽  
Joseph Sharit ◽  
Arzu Onar-Thomas ◽  
Shihab Asfour
Keyword(s):  
Saudi Arabia ◽  
Health Literacy ◽  
Health Systems ◽  
Health Management ◽  
Personal Health Record ◽  
The Internet ◽  
Personal Health ◽  
Health Record ◽  
Health Numeracy ◽  
Electronic Health

Objective: This study examined the ability for adults from a developing country to use a personal health record (PHR) to perform health-management tasks. The effects of gender differences as well as differences in attitudes about using the internet to manage health prior to and after exposure to the PHR were also investigated.Methods: A simulation of a PHR based on a well-established U.S. online patient portal was designed and tailored for this particular study population. Two hundred and three adults with a mean age of 40.9 years were recruited from various areas in Saudi Arabia and asked to perform seven common health-management tasks of varying degrees of difficulty. Their electronic health literacy and health numeracy, as well as their attitudes about using online health systems for managing their health prior to and following their interaction with the PHR, were assessed using questionnaires.Results: After controlling for education, perceived health status, and comfort using the internet, electronic health literacy and health numeracy were still found to be significant predictors of participants’ task performance, but only for the more challenging health-management tasks. No important differences based on gender were found. Exposure to the PHR significantly increased the acceptability of using the internet for managing their health.Conclusions: The change in attitudes following interaction with the PHR suggests that many adults in this society could benefit from these electronic health systems, including females who, due to cultural considerations, may desire greater control in managing their health. However, the importance of electronic health literacy and health numeracy suggests the need for designs that minimize the impact of these factors for successful performance of health-management tasks.

scholarly journals Is a Mobile Personal Health Record Effective Tool for Managing Patient-Generated Health Data?

Iproceedings ◽  
2017 ◽  
Vol 3 (1) ◽  
pp. e11
Author(s):  
Jae-Ho Lee ◽  
Yura Lee ◽  
Yurang Park ◽  
Ji-Young Kim ◽  
Jeong-Hoon Kim ◽  
...  
Keyword(s):  
Personal Health Record ◽  
Health Data ◽  
Personal Health ◽  
Health Record

scholarly journals Family attitudes towards an electronic personal health record in a long term care facility

2015 ◽  
Vol 4 (3) ◽  
pp. 9 ◽  
Author(s):  
Pria M.D. Nippak ◽  
W. W. Isaac ◽  
A. Geertsen ◽  
C. J. Ikeda-Douglas
Keyword(s):  
Long Term Care ◽  
Personal Health Record ◽  
Family Members ◽  
Personal Health ◽  
Health Record ◽  
Care Providers ◽  
Term Care ◽  
Electronic Personal Health Record ◽  
The Family

Objective: To explore the perceptions of family members regarding the importance of an electronic personal health record (EPHR) called MyChart as a healthcare information source to support the care of their loved ones within a long term care (LTC) facility in Toronto, Ontario.Methods: One hundred and fifty eight family members of the patients in six LTC units at the hospital were given a survey to determine their perceptions regarding the utility of the content items within an EPHR that was recently adopted by the LTC institution.Results: The response rate was 41% (n = 65). Many family members (n = 48) felt it was important to have access to their loved one’s EPHR. Respondents ranked test results (38%; n = 25), doctor’s clinical notes (26%; n = 17), medication lists (15%; n = 10) and upcoming appointments (11%; n = 7) as the number one most important content item that they would want to have access to. In addition to the standard content items found within an EPHR, family members requested electronic access to a variety of additional medical content items that are not currently offered within the EPHR, such as status alerts. Overall, they felt that an EPHR would enhance communication between the care team and the family, however 30% of family members identified concerns linked to security and confidentiality of the electronic health record information.Conclusions: Family members felt that an EPHR would be an important tool in the LTC facility to assist with information exchange between care providers and the family. It is important to consider that the additional information requested beyond what is traditionally found in an EPHR as well as the specific communication concerns raised, may be limited to a LTC setting.

Blockchain-based architecture design for personal health record (Preprint)

2021 ◽  
Author(s):  
Thiago Bulhões ◽  
Lucas Shinoda ◽  
Ramon Moreno ◽  
Marco Gutierrez
Keyword(s):  
Personal Health Record ◽  
Distributed Databases ◽  
Health Data ◽  
System Response ◽  
Personal Health ◽  
Health Record ◽  
Architecture Design ◽  
Smart Contracts ◽  
Order Of Magnitude ◽  
Health Database

BACKGROUND The importance of blockchain-based architectures for personal health record (PHR) lies in the fact that they are thought and developed to allow patients to control and at least partly collect their health data. Ideally, these systems should provide the full control of such data for the respective owner. In spite of this importance, most of the works focus more on describing how blockchain models can be used in a PHR scenario than whether these models are in fact feasible and robust enough to support a large number of users. OBJECTIVE Toward a consistent, reproducible and comparable PHR system, we build a novel ledger-oriented architecture out of a permissioned distributed network, providing patients with a manner to securely collect, store, share and manage their health data. We also emphasize the importance of suitable ledgers and smart contracts to operate the blockchain network as well as discuss the necessity of standardizing evaluation metrics to compare related works. METHODS We adopted the Hyperledger Fabric platform to implement our blockchain-based architecture design and the Hyperledger Caliper framework to provide a detailed assessment of our system under workload, ranging from 100 to 2,500 simultaneous record submissions, and using throughput and average latency as primary metrics. We also create a health database, a cryptographic unit and a server to complement the blockchain network. RESULTS Smart contracts that write on the ledger have throughputs, measured in transactions per seconds (tps), in an order of magnitude close to 10^2 tps while those contracts that only read have rates close to 10^3 tps. Smart contracts that write also have latencies, measured in seconds (s), in an order of magnitude close to 10^1 s while that only read have delays close to 10^0 s. In particular, smart contracts that retrieve, list and view history have throughputs varying, respectively, from 1,100 to 1,300 tps, 650 to 750 tps and 850 to 950 tps, impacting the overall system response if they are equally requested under the same workload. CONCLUSIONS To the best of our knowledge, we are the first to evaluate, using Hyperledger Caliper, the performance of a PHR blockchain architecture and also the first to evaluate each smart contract separately. Nevertheless, blockchain systems achieve performances far below the traditional distributed databases achieve, indicating the assessment of blockchain solutions for PHR is a major concern to be addressed before putting them into a real production.

The Lifespan Personal Health Record

1991 ◽  
Vol 11 (4_suppl) ◽  
pp. S74-S76 ◽  
Author(s):  
Ben T. Williams ◽  
Harriet Imrey ◽  
Richard G. Williams
Keyword(s):  
Personal Health Record ◽  
Data Entry ◽  
Health Data ◽  
Patient Record ◽  
Personal Health ◽  
Health Record ◽  
Computer Based ◽  
Sentinel Events

A system for entry of health data in a computer-based patient record by lay individuals is described. The lay user is supported in data entry and data clarification, as well as by system-supported summarization of the data in context to show relationships, highlight sentinel events, and assist in evaluation of alternative decisions and actions as needed.

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