Evidence map›Paper›PMID 39558323›Full record

ArticleBMC health services research2024

Impact of encounters on patient app use: results of a tethered mobile personal health record usage pattern analysis.

Yae Won Tak, Jeong-Hoon Kim, Jae-Ho Lee, Yura Lee

Abstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yae Won TakBig Data Research Center, Asan Institute for Life Science, Asan Medical Center, Seoul, Republic of Korea.
Jeong-Hoon KimDepartment of Digital Innovation, Asan Medical Center, Seoul, Republic of Korea.
Jae-Ho LeeDepartment of Information Medicine, Asan Medical Center, College of Medicine, University of Ulsan, Seoul, Republic of Korea.
Yura LeeDepartment of Information Medicine, Asan Medical Center, College of Medicine, University of Ulsan, Seoul, Republic of Korea. haepary@naver.com.

Funding

Asan Institute of Life Sciences, Asan Medical Center 2022IP0067-1NCIRD CDC HHS U01 IP000067
6 · The paper itself

Abstract

introductionThe adoption of tethered mobile personal health records provides not only medical information to patients but also various convenience functions related to hospital use, thereby increasing accessibility to healthcare services and promoting patient engagement. We analyse the tethered mobile personal health records app's usage logs to determine how it can contribute to improving medical service accessibility and patient engagement.

methodsLog data, that comprised menu type, log time, and date, were collected from the mobile personal health records app of a tertiary referral hospital. Clinical information, including patients' demographics and visit type, was collected from the clinical research warehouse system. The usage log was analysed in terms of the type of visit, service function, and time period.

resultsOutpatients accounted for 34% of the total app usage and was the most app-accessed visit type. The most utilized menu functions were lab test and visit schedule for visits or non-visits. For Inpatient and Health check-ups, menu usage patterns showed a focus on lab test results. While investigations and other menu usage showed double peaks in the morning and afternoon, peak usage of lab test results correlated with inpatient blood sampling times, which was around 9 am. DISCUSSION: App menus to access health information, particularly blood tests, emerged as the most accessed menu. Hence, when compared with blood sampling times and hospital information system usage patterns, encounters occurring in the hospital majorly impacted patient app use. For improved patient engagement, improving lab test function should be the priority.

Indexed as

Mobile ApplicationsAdultAgedFemaleHealth Records, PersonalHealth Services AccessibilityHumansMaleMiddle AgedConvenient featuresMHealthMobile healthPersonal health recordPHR

Identifiers

PMID39558323
PMCPMC11572374

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LicenceCC BY-NC-ND
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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.