Evidence map›Paper›PMID 40925000›Full record

Observational studyJournal of medical Internet research2025

User Engagement With a Mobile Health App for People Living With HIV: Observational Study Based on an Engagement Evaluation Framework.

Gwang Suk Kim, Seoyoung Baek, Layoung Kim, Sooyoung Kwon

Abstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2025. 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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0cells of the map it votes in
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

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.

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

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.

Gwang Suk KimMo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-9823-6107
Seoyoung BaekKorea Armed Forces Nursing Academy, 90, Jaun-ro, Yuseong-gu, Daejeon, 34059, Republic of Korea, 82 10-4714-2111.ORCID http://orcid.org/0000-0003-0556-9936
Layoung KimDepartment of Nursing, The University of Suwon, Hwaseong, Republic of Korea.ORCID http://orcid.org/0000-0001-6772-5979
Sooyoung KwonCollege of Nursing, Yonsei University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-5544-4456

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mobile health (mHealth) interventions can be effective for people living with HIV, who are sensitive to privacy breach risks. Understanding the perceived experiences of intervention participants can provide comprehensive insights into potential users and predict intervention effectiveness. Thus, it is necessary to plan engagement measurement and consider ways to enhance engagement during the app development phase. Objective: This study aims to evaluate engagement with a mHealth app using the engagement index and time and to examine differences in engagement according to participant characteristics. Methods: This observational study, conducted from March 27 to August 31, 2024, was based on an engagement evaluation framework. A total of 261 people living with HIV across 13 medical institutions and 3 related organizations in South Korea engaged in an app-based intervention for 4 weeks. Self-reported surveys were conducted before and after the app usage period, and usage data were collected during the intervention to assess user engagement. User engagement was evaluated using 2 measures: engagement index and engagement time. The engagement index represents a standardized percentage derived from 5 subindices: click depth, loyalty, recency, feedback, and interaction. Results: The median engagement index and time were 67.6% (IQR 59.7-74.1) and 27.2 minutes (IQR 4.9-81.4), respectively, with a statistically significant positive correlation between the two (ρ=0.589; P<.001). The engagement index was higher among those with self-help group participation (U=6014.0, z=-2.49; P=.01). There were no differences in engagement index and time according to other personal characteristics. Conclusions: When developing mHealth apps for people living with HIV, it is essential to track both objective indicators such as login data and subjective indicators such as patient experience for comprehensive intervention evaluation. Based on this study's results, high engagement suggests that apps should prioritize user needs through rewards, privacy protection, tailored information, and esthetic features. While the app in this study demonstrated inclusive usability, targeted support strategies may benefit users without self-help group participation.

Indexed as

HIV InfectionsMobile ApplicationsPatient ParticipationTelemedicineAdultFemaleHumansMaleMiddle AgedRepublic of Koreadigital healthHIVmHealthmobile appsmobile healthpatient engagementsmartphone

Identifiers

PMID40925000
PMCPMC12419757

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Registered trials

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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.