Evidence map›Paper›PMID 41552321›Full record

ArticleAmerican journal of translational research2025

Promising community nursing effect on diabetic foot patients under the "six-in-one" collaborative management model.

Xiu-Jun He, Ya-Chun Zhou, Ya-Jun Ding, Yan-Zhen Lu, Ying Hu, Wei Chen, Jing-Jing Zhang

Abstract read
In one paragraph

Article in American journal of translational research, 2025. 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

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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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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

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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

7 authors.

Xiu-Jun HeDepartment of Nursing, Beilun People's Hospital Ningbo 315800, Zhejiang, China.
Ya-Chun ZhouDepartment of Health Management Center, Beilun People's Hospital Ningbo 315800, Zhejiang, China.
Ya-Jun DingDepartment of General Practice, Beilun People's Hospital Ningbo 315800, Zhejiang, China.
Yan-Zhen LuDepartment of Gynecology, Beilun People's Hospital Ningbo 315800, Zhejiang, China.
Ying HuDepartment of Endocrinology, Beilun People's Hospital Ningbo 315800, Zhejiang, China.
Wei ChenDepartment of Emergency Burn, Beilun People's Hospital Ningbo 315800, Zhejiang, China.
Jing-Jing ZhangDepartment of Health Management Center, Beilun People's Hospital Ningbo 315800, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic foot complications are among the most severe and costly complications of diabetes. This study aims to explore the effectiveness of a nurse-led multidisciplinary collaborative nursing model under the "Six-Profession Co-Management Model" in the nursing intervention for community-based patients with high-risk diabetic feet.

methodsA prospective analysis was conducted from July to December 2023, involving 148 community-based DHRF patients. Participants were randomly allocated (1:1) to a control group receiving conventional nursing care, or an experimental group receiving nurse-led multidisciplinary interventions within the Six-Profession Co-management Model, alongside conventional care. Outcomes including laboratory measures (fasting and postprandial blood glucose, glycated hemoglobin, lipids), high-risk foot examination results, and scores from the Diabetic Foot Care Knowledge and Daily Care Behavior questionnaires were compared between groups before and after the 6-month intervention.

resultsNo statistically significant differences were observed in baseline data between the two groups (P > 0.05). Before the intervention, there were no significant differences in laboratory indicators, high-risk foot examination results, or questionnaire scores between the two groups (P > 0.05). After the intervention, significant differences were observed in all these measures, with the experimental group demonstrating markedly better outcomes than the control group (P < 0.05).

conclusionThe nurse-led multidisciplinary collaborative nursing model under the "Six-Profession Co-Management" framework is effective in managing community-based DHRF patients. It supports risk factor screening and assessment of foot care knowledge and behaviors, offering valuable guidance for early intervention.

Indexed as

diabetic footintervention effect“Six-in-one” collaborative management modelstandardized management

Identifiers

PMID41552321
PMCPMC12808075

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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.