Evidence map›Paper›PMID 41926243›Full record

ArticleJMIR formative research2026

Smart Technology-Assisted Patient-Centered Management in Venous Thromboembolism: Pilot Study on Anticoagulation Adherence.

Zheqi Zhang, Zhigeng Jin, Hao Wang, Hui Zhang, Binbin Liu, Hong Wang, Zhenguo Zhai, Yutao Guo

Abstract read
In one paragraph

Article in JMIR formative 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.

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1 · What the graph read from it

What it found

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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

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No citing paper in PubMed yet.

4 · The record

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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.

Zheqi Zhang *Medical School of Chinese People's Liberation Army, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.ORCID 0009-0009-0299-2561
Zhigeng Jin *Department of Pulmonary Vascular and Thrombotic Disease, the Sixth Medical Center of Chinese PLA General Hospital, Chinese PLA General Hospital, No.6 Fucheng Road, Haidian District, Beijing, 100048, China, 86 1 381 002 1492.ORCID 0000-0003-2971-6697
Hao WangNational Clinical Research Center for Geriatric Diseases, the Second Medical Center, Chinese PLA General Hospital, Beijing, China.ORCID 0000-0003-4082-9350
Hui ZhangDepartment of Pulmonary Vascular and Thrombotic Disease, the Sixth Medical Center of Chinese PLA General Hospital, Chinese PLA General Hospital, No.6 Fucheng Road, Haidian District, Beijing, 100048, China, 86 1 381 002 1492.ORCID 0000-0003-1942-2513
Binbin LiuMedical School of Chinese People's Liberation Army, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.ORCID 0009-0002-1907-2875
Hong WangMedical School of Chinese People's Liberation Army, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.ORCID 0000-0002-6697-5172
Zhenguo ZhaiDepartment of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine of China-Japan Friendship Hospital, China-Japan Friendship Hospital, Beijing, China.ORCID 0000-0002-7096-8792
Yutao GuoDepartment of Pulmonary Vascular and Thrombotic Disease, the Sixth Medical Center of Chinese PLA General Hospital, Chinese PLA General Hospital, No.6 Fucheng Road, Haidian District, Beijing, 100048, China, 86 1 381 002 1492.ORCID 0000-0002-7626-7751

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Achieving optimal adherence to anticoagulation therapy is a major challenge in the management of venous thromboembolism (VTE). Mobile health (mHealth) technologies may offer a scalable approach to supporting medication adherence and self-management. Objective: This pilot study aimed to assess the feasibility and preliminary impact of a smart technology-assisted, patient-centered care mHealth app for managing VTE (mVTEA) on short-term anticoagulation adherence among patients with VTE or at moderate-to-high risk of VTE. Methods: Baseline medication adherence and beliefs were assessed using the Chinese versions of the 8-item Morisky Medication Adherence Scale and the Beliefs about Medicines Questionnaire-Specific to characterize baseline status only. The primary outcome was perfect adherence at 1 month, assessed through structured telephone interviews, outpatient visits, and the mVTEA physician-patient communication module. During follow-up, researchers verified current medication regimens, recorded missed doses, assessed therapy continuation, and whenever possible, confirmed adherence through pharmacy refill records or remaining medication packaging. Secondary outcomes included the mVTEA check-in rate and clinical safety events (VTE recurrence, major bleeding per International Society on Thrombosis and Haemostasis criteria, VTE-related hospitalizations, VTE-related rehospitalizations, all-cause mortality). Results: In total, 45 participants completed the study (mean age 60.80, SD 15.20 years; n=16, 36% female). Baseline 8-item Morisky Medication Adherence Scale scores indicated suboptimal adherence (mean 6.24, SD 1.80), with 29% (13/45) classified as good adherence and 71% (32/45) as moderate or poor adherence. The primary contributors to nonadherence were forgetting to take medication. Baseline Beliefs about Medicines Questionnaire-Specific scores showed stronger beliefs in medication necessity than concerns (17.58, SD 2.52 vs 14.56, SD 3.34; P<.001; necessity-concerns differentials: 3.02, SD 4.60). At 1-month follow-up, all 45 participants achieved perfect adherence, and 80% (n=36) used the mVTEA check-in feature. Participants who engaged in check-ins demonstrated markedly more favorable necessity-concerns differentials profiles (29/36, 81% vs 0/9, 0%; P<.001). No VTE events, major bleeding, or other adverse outcomes were reported. Conclusions: This pilot study supports the feasibility and acceptability of the mVTEA and provides preliminary signals that it may support short-term anticoagulation adherence. Larger randomized trials with longer follow-up and objective adherence measures are warranted, along with efforts to address the digital divide to ensure equitable access to mHealth-based anticoagulation support.

Indexed as

AnticoagulantsDrug MonitoringMedication AdherenceVenous ThromboembolismAdherence InterventionsAdultAgedDigital HealthFemaleHumansMaleMiddle AgedPatient-Centered CarePilot ProjectsSurveys and QuestionnairesAnticoagulantsanticoagulation managementmedication adherencepatient-centeredsmart technologyvenous thromboembolism

Identifiers

PMID41926243
PMCPMC13045778

What OpenQuestion holds

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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.