Evidence mapPaperPMID 42052018Full record

ArticleFrontiers in public health2026

Data-driven closed-loop health education: constructing an integrated assessment-intervention-feedback pathway for digital COPD management-a perspective.

Yu Zhou, Ting Wang, Yi-Di Wang, Guo-Ru Li, Pei Sun, Yong-Li Li, Le-Le Yao, Shu-Ling Liang

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.

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.

Yu Zhou *Department of Nursing Care, Baoji People's Hospital, Baoji, China.
Ting Wang *Department of Respiratory and Critical Care Medicine, Baoji People's Hospital, Baoji, China.
Yi-Di WangDepartment of Respiratory and Critical Care Medicine, Baoji People's Hospital, Baoji, China.
Guo-Ru LiDepartment of Respiratory and Critical Care Medicine, Baoji People's Hospital, Baoji, China.
Pei SunDepartment of Respiratory and Critical Care Medicine, Baoji People's Hospital, Baoji, China.
Yong-Li LiDepartment of Respiratory and Critical Care Medicine, Baoji People's Hospital, Baoji, China.
Le-Le YaoDepartment of Respiratory and Critical Care Medicine, Baoji People's Hospital, Baoji, China.
Shu-Ling LiangDepartment of Nursing Care, Baoji People's Hospital, Baoji, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic obstructive pulmonary disease (COPD) imposes a substantial global health burden, yet conventional management often fails to sustain patient engagement or deliver personalized education. Digital technologies now enable continuous, multidimensional data collection, creating an opportunity to transition from standardized care to dynamic, tailored health support. This perspective article proposes a data-driven "assessment-intervention-feedback" closed-loop framework for COPD health education. By integrating multisource data and leveraging intelligent analytics, the system personalizes educational content, optimizes delivery timing, and iteratively refines strategies based on real-world feedback. The framework enhances the relevance and long-term effectiveness of patient education, fostering improved self-management and health outcomes. We further outline its core components, implementation pathways, and key challenges-such as digital equity and clinical integration-to guide the development of scalable, evidence-based digital education solutions in COPD care.

Indexed as

Health EducationPatient Education as TopicPulmonary Disease, Chronic ObstructiveDigital HealthHumanschronic obstructive pulmonary diseaseclosed-loop systemdata-driven caredigital health managementhealth educationpatient self-managementpersonalized intervention

Identifiers

PMID42052018
PMCPMC13111365

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.