Evidence map›Paper›PMID 26447775›Full record

ArticleTelemedicine journal and e-health : the official journal of the American Telemedicine Association2016

Which Users Should Be the Focus of Mobile Personal Health Records? Analysis of User Characteristics Influencing Usage of a Tethered Mobile Personal Health Record.

Guna Lee, Joong Yeol Park, Soo-Yong Shin, Jong Su Hwang, Hyeon Jeong Ryu, Jae Ho Lee, David W Bates

Abstract read
In one paragraph

Article in Telemedicine journal and e-health : the official journal of the American Telemedicine Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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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

7 authors.

Guna Lee1 Ubiquitous Health Center, Asan Medical Center , Seoul, Korea.
Joong Yeol Park1 Ubiquitous Health Center, Asan Medical Center , Seoul, Korea.
Soo-Yong Shin1 Ubiquitous Health Center, Asan Medical Center , Seoul, Korea.
Jong Su Hwang4 Medical Information Office, Asan Medical Center , Seoul, Korea.
Hyeon Jeong Ryu4 Medical Information Office, Asan Medical Center , Seoul, Korea.
Jae Ho Lee3 Department of Biomedical Informatics, Asan Medical Center , Seoul, Korea.
David W Bates5 Division of General Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital , Boston, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study was conducted to analyze the usage pattern of a hospital-tethered mobile personal health records (m-PHRs) application named My Chart in My Hand (MCMH) and to identify user characteristics that influence m-PHR usage. MATERIALS AND

methodsAccess logs to MCMH and its menus were collected for a total of 18 months, from August 2011 to January 2013. Usage patterns between users without a patient identification number (ID) and users with a patient ID were compared. Users with a patient ID were divided into light and heavy user groups by the median number of monthly access. Multiple linear regression models were used to assess MCMH usage pattern by characteristics of MCMH user with a patient ID.

resultsThe total number of MCMH logins was 105,603, and the median number of accesses was 15 times. Users (n = 7,096) mostly accessed the "My Chart" menu, but "OPD [outpatient department] Service Support" and "Health Management" menus were also frequently used. Patients with chronic diseases, experience of hospital visits including emergency room and OPD, and age group of 0-19 years were more frequently found among users with a patient ID (n = 2,186) (p < 0.001). A similar trend was found in the heavy user group (n = 1,123). Submenus of laboratory result, online appointment, and medication lists that were accessed mostly by users with a patient ID were associated with OPD visit and chronic diseases.

conclusionsThis study showed that focuses on patients with chronic disease and more hospital visits and empowerment functions in a tethered m-PHR would be helpful to pursue the extensive use.

Indexed as

AdolescentAdultAge FactorsElectronic Health RecordsFemaleHospitalizationHumansLinear ModelsMaleMiddle AgedMobile ApplicationsResidence CharacteristicsSex FactorsUser-Computer InterfaceYoung Adultchronic diseaseconsumer health informationempowermentmobile healthpersonal health record

Identifiers

PMID26447775
PMCPMC4860660

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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.