Evidence map›Paper›PMID 42842839›Full record

ArticleJournal of medical Internet research2026

Effectiveness of a Behavior Change Wheel-Informed WeChat-Based Messaging Intervention to Improve Medication Adherence After Percutaneous Coronary Intervention: 12-Week Quasi-Experimental Study.

Yong Fang, Wenxiao Wu, Dili Chen, Zhili Jiang, Mingyue Zhang, Fanghong Dong, Xinyue Xiang, Lihua Huang

Abstract read
In one paragraph

Article 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.

Yong FangNursing Department, First Affiliated Hospital Zhejiang University, 79 Qingchun Road, Shangcheng District, Hangzhou City, 310053, China, 86 13867129329.ORCID http://orcid.org/0009-0000-7700-4083
Wenxiao Wu *Nursing Department, First Affiliated Hospital Zhejiang University, 79 Qingchun Road, Shangcheng District, Hangzhou City, 310053, China, 86 13867129329.
Dili ChenNursing Department, First Affiliated Hospital Zhejiang University, 79 Qingchun Road, Shangcheng District, Hangzhou City, 310053, China, 86 13867129329.
Mingyue ZhangNursing Department, First Affiliated Hospital Zhejiang University, 79 Qingchun Road, Shangcheng District, Hangzhou City, 310053, China, 86 13867129329.
Fanghong DongNursing Department, First Affiliated Hospital Zhejiang University, 79 Qingchun Road, Shangcheng District, Hangzhou City, 310053, China, 86 13867129329.
Xinyue XiangNursing Department, First Affiliated Hospital Zhejiang University, 79 Qingchun Road, Shangcheng District, Hangzhou City, 310053, China, 86 13867129329.
Lihua HuangNursing Department, First Affiliated Hospital Zhejiang University, 79 Qingchun Road, Shangcheng District, Hangzhou City, 310053, China, 86 13867129329.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Medication nonadherence after percutaneous coronary intervention (PCI) remains a major barrier to secondary prevention. Prior SMS text messaging interventions have shown inconsistent results, often limited to reminders without addressing behavioral or psychological determinants. Objective: This study aimed to evaluate the effectiveness of a theory-informed, WeChat-based messaging intervention for improving medication adherence and patient-reported outcomes after PCI. Methods: A nonrandomized quasi-experimental parallel-group study was conducted from July 2022 to March 2023 at a tertiary hospital in Hangzhou, China. Patients were allocated by ward admission to the intervention or control group. The intervention comprised 12-week WeChat-based medication reminders and theory-informed messages mapped to capability, opportunity, and motivation-behavior model domains and behavior change techniques. The primary outcome was medication adherence measured using the 8-item Morisky Medication Adherence Scale (MMAS-8); secondary outcomes were medication beliefs, self-efficacy, and disease-specific health status measured using the Beliefs About Medicines Questionnaire (BMQ)-Specific, Self-Efficacy for Appropriate Medication Use Scale, and Seattle Angina Questionnaire (SAQ), respectively. Outcomes were assessed at baseline and 12 weeks by blinded assessors and analyzed using baseline-adjusted analysis of covariance based on the observed outcome data for all 92 participants. Sensitivity analyses included a per-protocol analysis restricted to the 87 participants who completed the full assigned care protocol and a difference-in-differences analysis comparing changes from baseline to 12 weeks between groups. Results: Of 180 patients screened, 92 (51.1%) were enrolled, of whom all completed the 12-week outcome assessment and 87 (94.6%) completed the full assigned care protocol. At 12 weeks, medication adherence was higher in the intervention group than in the control group (adjusted mean MMAS-8 score 7.40, SE 0.05 vs 6.22, SE 0.10; adjusted mean difference 1.18, 95% CI 0.96-1.40; Conclusions: A theory-informed, WeChat-based messaging intervention was associated with improvements in medication adherence, medication beliefs, self-efficacy, and disease-specific health status after PCI. Larger, adequately powered randomized trials with longer follow-up are needed to confirm these findings.

Indexed as

Medication AdherencePercutaneous Coronary InterventionReminder SystemsText MessagingAdherence InterventionsAgedChinaFemaleHumansMaleMiddle Agedbehavior change techniquescapability, opportunity, and motivation–behavior modelCOM-B modelmedication adherencemobile healthpercutaneous coronary interventionSMS text messaging

Identifiers

PMID42842839
PMCPMC13645199

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.