Evidence map›Paper›PMID 41607910›Full record

ArticleFrontiers in public health2025

Chronic disease management: policy design based on service design methods.

Jie Xue, Wei Jiang, Xiaoyu Xu, Han Tan, Guosheng Wang

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Jie XueAcademy of Arts & Design, Tsinghua University, Beijing, China.
Wei JiangAcademy of Arts & Design, Tsinghua University, Beijing, China.
Xiaoyu XuAcademy of Arts & Design, Tsinghua University, Beijing, China.
Han TanAcademy of Arts & Design, Tsinghua University, Beijing, China.
Guosheng WangAcademy of Arts & Design, Tsinghua University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Chronic diseases, such as hypertension and diabetes, impose significant burdens on health systems and communities. Methods: To inform implementation-oriented public health strategies, this study utilized a mixed-methods design that integrates population-level administrative data, patient-reported experiences, and qualitative inquiry in Xiling District, Yichang, China. The data sources included 93,146 adults with hypertension and 32,050 adults with diabetes from the district's chronic disease management information system, a survey of 518 patients, and qualitative data from semi-structured interviews ( Results: The findings indicated (1) significant drop-offs along care cascades, particularly in enrollment in basic public health services and standardized management; (2) user-journey evidence suggesting limited process visibility, low perceived value of follow-up services, and fragmented information flow, which elucidate the observed cascade gaps; and (3) stakeholder feedback highlighting inadequate coordination among service providers. Discussion: By synthesizing quantitative and qualitative insights, the study proposes a three-layer service-design framework-users, service processes, and service provision-to guide the redesign of chronic disease management services. These findings illustrate how the integration of administrative data with user experience insights can lead to more actionable and user-centered policy design.

Indexed as

Diabetes MellitusDisease ManagementHealth PolicyHypertensionPolicy MakingAdultChinaChronic DiseaseFemaleFocus GroupsHumansInterviews as TopicMaleMiddle AgedQualitative Researchchronic diseasediabetes mellitushealth policyhypertensionmixed methodspatient-centered careprimary health care

Identifiers

PMID41607910
PMCPMC12835359

What Socratic holds

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LicenceCC BY
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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 Socratic graph.