Evidence map›Paper›PMID 42824199›Full record

ArticleFrontiers in public health2026

Integrating iHEC into standardized residency training for chronic disease management: a structural equation analysis of competency outcomes via digital health platforms.

Dili Xie, Xuechun Sun, Jianshu Guo, Peng Liu, Junling Yang, Ping Zhong

Abstract read
In one paragraph

Article in Frontiers in public health, 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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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

6 authors.

Dili Xie *Department of Heart, Lung and Vessels, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Xuechun Sun *Department of Heart, Lung and Vessels, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Jianshu GuoDepartment of Heart, Lung and Vessels, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Peng LiuDepartment of Geriatric Cardiology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Junling YangDepartment of Medical Library, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Ping ZhongDepartment of Geriatric Cardiology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the association between an Intelligent Hypertension Excellence Centers (iHEC)-integrated teaching model and multidimensional educational outcomes in standardized residency training, and to explore whether self-directed learning (SDL) mediates the association between digital health-enhanced training and educational performance. Methods: A retrospective sequential cohort study was conducted among 245 resident physicians who completed a standardized 4-week hypertension rotation in the Department of Geriatric Cardiology between September 2022 and August 2024. Residents were assigned to a conventional ward-based teaching cohort ( Results: Baseline characteristics and educational assessments were comparable between cohorts. After adjustment for baseline performance, specialty, and calendar time, the iHEC cohort demonstrated higher post-rotation OSCE scores [adjusted mean difference (AMD) 6.85, 95% CI 5.12-8.58, Conclusion: The iHEC hypertension teaching model was associated with improved resident educational outcomes, with enhanced self-directed learning representing a potential explanatory pathway underlying these observed associations; prospective multicenter studies are needed to further evaluate causal relationships, long-term retention, and implementation feasibility.

Indexed as

Clinical CompetenceHypertensionInternship and ResidencyChronic DiseaseCurriculumDigital HealthEducational MeasurementFemaleHumansLatent Class AnalysisMaleRetrospective StudieshypertensionIntelligent Hypertension Excellence Centersobjective structured clinical examinationretrospective cohort studystandardized training of resident physiciansteaching mode

Identifiers

PMID42824199
PMCPMC13627101

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.