Evidence map›Paper›PMID 29217503›Full record

Trial reportJournal of medical Internet research2017

Impact of an Electronic Health Record-Integrated Personal Health Record on Patient Participation in Health Care: Development and Randomized Controlled Trial of MyHealthKeeper.

Borim Ryu, Nari Kim, Eunyoung Heo, Sooyoung Yoo, Keehyuck Lee, Hee Hwang, Jeong-Whun Kim, Yoojung Kim, Joongseek Lee, Se Young Jung

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03200119 (A Study of the Management of the Patient's Disease Based on the Life Log Data of Patients With Lifestyle-related Diseases Through a Wearable Device), which is not on this map. Cited by 41 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 6 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03200119 nacompletednot on this map

A Study of the Management of the Patient's Disease Based on the Life Log Data of Patients With Lifestyle-related Diseases Through a Wearable Device

TypeinterventionalSponsorSeoul National University HospitalRan2016 to 2016Enrolled68ConditionsWeight Loss, ObesityArmsDaily health-related lifestyle modification prescription
3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Co-Production Performance Evaluation in Healthcare. A Systematic Review of Methods, Tools and Metrics.International journal of environmental research and public health · 2021
    Pooled it
  5. Adult patient access to electronic health records.The Cochrane database of systematic reviews · 2021
    Pooled it
  6. Pooled it
  7. LEAP! Rx: A randomized trial of a pragmatic approach to lifestyle medicine.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Trial
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Borim RyuOffice of eHealth Research and Business, Seoul National University Bundang Hospital, Seongnam, Republic Of Korea.ORCID 0000-0002-2000-4565
Nari KimOffice of eHealth Research and Business, Seoul National University Bundang Hospital, Seongnam, Republic Of Korea.ORCID 0000-0001-5384-9540
Eunyoung HeoOffice of eHealth Research and Business, Seoul National University Bundang Hospital, Seongnam, Republic Of Korea.ORCID 0000-0003-0866-8331
Sooyoung YooOffice of eHealth Research and Business, Seoul National University Bundang Hospital, Seongnam, Republic Of Korea.ORCID 0000-0001-8620-4925
Keehyuck LeeOffice of eHealth Research and Business, Seoul National University Bundang Hospital, Seongnam, Republic Of Korea.ORCID 0000-0001-6906-4887
Hee HwangOffice of eHealth Research and Business, Seoul National University Bundang Hospital, Seongnam, Republic Of Korea.ORCID 0000-0002-7964-1630
Jeong-Whun KimDepartment of Otorhinolaryngology-Head and Neck Surgery, Seoul National University Bundang Hospital, Seongnam, Republic Of Korea.ORCID 0000-0003-4858-3316
Yoojung KimDepartment of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Suwon, Republic Of Korea.ORCID 0000-0002-4078-5848
Joongseek LeeDepartment of Transdisciplinary Studies, Graduate School of Convergence Science and Technology, Seoul National University, Suwon, Republic Of Korea.ORCID 0000-0003-2376-3046
Se Young JungOffice of eHealth Research and Business, Seoul National University Bundang Hospital, Seongnam, Republic Of Korea.ORCID 0000-0001-9946-8807

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersonal health record (PHR)-based health care management systems can improve patient engagement and data-driven medical diagnosis in a clinical setting.

objectiveThe purpose of this study was (1) to demonstrate the development of an electronic health record (EHR)-tethered PHR app named MyHealthKeeper, which can retrieve data from a wearable device and deliver these data to a hospital EHR system, and (2) to study the effectiveness of a PHR data-driven clinical intervention with clinical trial results.

methodsTo improve the conventional EHR-tethered PHR, we ascertained clinicians' unmet needs regarding PHR functionality and the data frequently used in the field through a cocreation workshop. We incorporated the requirements into the system design and architecture of the MyHealthKeeper PHR module. We constructed the app and validated the effectiveness of the PHR module by conducting a 4-week clinical trial. We used a commercially available activity tracker (Misfit) to collect individual physical activity data, and developed the MyHealthKeeper mobile phone app to record participants' patterns of daily food intake and activity logs. We randomly assigned 80 participants to either the PHR-based intervention group (n=51) or the control group (n=29). All of the study participants completed a paper-based survey, a laboratory test, a physical examination, and an opinion interview. During the 4-week study period, we collected health-related mobile data, and study participants visited the outpatient clinic twice and received PHR-based clinical diagnosis and recommendations.

resultsA total of 68 participants (44 in the intervention group and 24 in the control group) completed the study. The PHR intervention group showed significantly higher weight loss than the control group (mean 1.4 kg, 95% CI 0.9-1.9; P<.001) at the final week (week 4). In addition, triglyceride levels were significantly lower by the end of the study period (mean 2.59 mmol/L, 95% CI 17.6-75.8; P=.002).

conclusionsWe developed an innovative EHR-tethered PHR system that allowed clinicians and patients to share lifelog data. This study shows the effectiveness of a patient-managed and clinician-guided health tracker system and its potential to improve patient clinical profiles.

trial registrationClinicalTrials.gov NCT03200119; https://clinicaltrials.gov/ct2/show/NCT03200119 (Archived by WebCite at http://www.webcitation.org/6v01HaCdd).

Indexed as

AdultElectronic Health RecordsFemaleHealth Records, PersonalHumansMalePatient ParticipationTelemedicineclinical interventionclinical trialelectronic health recordshealth care servicehealth records, personallifelog datalifestyle managementmobile healthtelemedicine

Identifiers

PMID29217503
PMCPMC5740264

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.