Evidence map›Paper›PMID 42024557›Full record

Trial reportJournal of medical Internet research2026

Personalized Smartphone Messaging for Secondary Prevention After Percutaneous Coronary Intervention: Randomized Controlled Trial.

Sunki Lee, Ji Bak Kim, Seung Eon Shin, Jeonghoon Ahn, Hyun-Ghang Jeong, Kyung Ho Jung, Younghoon Song, Eung Ju Kim

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

8 authors.

Sunki Lee *Department of Cardiology, Korea University Guro Hospital, 148, Gurodong-Ro, Guro-gu, Seoul, 08308, Republic of Korea, 1 82-2-2626-3022.ORCID http://orcid.org/0000-0002-5247-7981
Ji Bak Kim *Division of Cardiology, Department of Internal Medicine, Hanil General Hospital, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-6357-3592
Seung Eon ShinDepartment of Cardiology, Korea University Guro Hospital, 148, Gurodong-Ro, Guro-gu, Seoul, 08308, Republic of Korea, 1 82-2-2626-3022.ORCID http://orcid.org/0000-0002-9211-9142
Jeonghoon AhnDepartment of Health Convergence, Ewha Womans University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-0177-0192
Hyun-Ghang JeongDepartment of Psychiatry, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-0318-5069
Kyung Ho JungDepartment of IT Business, Hanmi Pharmaceutical (South Korea), Seoul, Republic of Korea.ORCID http://orcid.org/0009-0003-4601-9487
Younghoon SongDepartment of IT Business, Hanmi Pharmaceutical (South Korea), Seoul, Republic of Korea.ORCID http://orcid.org/0009-0003-4025-9834
Eung Ju KimDepartment of Cardiology, Korea University Guro Hospital, 148, Gurodong-Ro, Guro-gu, Seoul, 08308, Republic of Korea, 1 82-2-2626-3022.ORCID http://orcid.org/0000-0003-2322-6267

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiac rehabilitation improves outcomes after percutaneous coronary intervention (PCI), but participation remains suboptimal due to barriers such as distance, cost, and lack of referral. Mobile health interventions may enhance accessibility and engagement. Objective: This study evaluated the effectiveness and user acceptability of a smartphone messaging app (AnSim) in improving cardiovascular risk factors among patients who recently underwent PCI. Methods: A 2-arm randomized controlled trial was conducted at 2 Korean hospitals; 120 patients who had undergone PCI within the prior month were randomized (1:1) to receive AnSim plus usual care (intervention) or usual care alone (control). The intervention comprised personalized messages tailored by behavioral stage and risk profile, delivered 6 times/week for 6 months. Outcomes were assessed at baseline, 6 months, and 9 months. The primary outcome was change in blood pressure (BP) at 6 and 9 months. Secondary outcomes were lipid profiles, hemoglobin A1c, BMI, smoking status, physical activity, and achievement of guideline-recommended risk-factor targets. User acceptability was assessed by questionnaire. Results: Overall, 115 (95.8%; intervention: n=58, control: n=57) participants completed follow-up at 6 months and 110 (91.7%; intervention: n=54, control: n=56) at 9 months. At 6 months, systolic BP was 124.9 (SD 16.7) mmHg in the intervention group and 124.8 (SD 13.1) mmHg in the control group (between-group difference 0.1 mmHg, 95% CI -5.4 to 5.6), and diastolic BP was 80.2 (SD 11.4) mmHg vs 78.4 (SD 10.6) mmHg (difference 1.8 mmHg, 95% CI -2.3 to 5.9). At 9 months, systolic BP was 126 (SD 14.2) mmHg vs 128 (SD 15.4) mmHg (difference -2 mmHg, 95% CI -7.6 to 3.6), and diastolic BP was 80.8 (SD 13.2) mmHg vs 81.3 (SD 12.0) mmHg (difference -0.5 mmHg, 95% CI -5.3 to 4.3). No significant between-group differences were observed in secondary outcomes. In post hoc analyses, participants with above-median message reading were more likely to achieve ≥4 of 5 guideline-recommended risk-factor targets at 9 months (69% vs 19.2%; relative risk 3.59, 95% CI 1.57-8.18; P<.001) and logged more diary entries (mean difference 203.4 entries, 95% CI 79.3-327.5; P=.001). BP responders at 9 months read messages on more days than nonresponders (110.3 vs 83.3 d; mean difference 27 d, 95% CI 4.6-49.3; P=.02). Among survey respondents (54/60, 90%), 87% (47/54) found the messages helpful and 81.4% (44/54) wished to continue. Two events occurred in the control group (P=.50). Conclusions: This trial found no between-group improvement in BP with low-intensity personalized messaging compared to an attention-matched diary app, but exploratory analyses suggest engagement may be a key determinant of potential benefit. Unlike comprehensive app-based cardiac rehabilitation programs, AnSim provides scalable behavioral reinforcement that can be integrated into post-PCI follow-up with minimal burden. These findings support future pragmatic trials optimizing engagement strategies and evaluating longer-term clinical and implementation outcomes.

Indexed as

Mobile ApplicationsPercutaneous Coronary InterventionSecondary PreventionSmartphoneText MessagingAgedBlood PressureFemaleHumansMaleMiddle AgedRepublic of Koreacardiac rehabilitationcoronary artery diseasemHealthmobile healthrisk factor modificationsecondary preventionsmartphone apptext messaging

Identifiers

PMID42024557
PMCPMC13105232

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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.