Evidence map›Paper›PMID 41907237›Full record

ArticleFrontiers in medicine2026

Application of a nursing research order-service model based on a "demand-resource" linkage mechanism.

Yanfei Ma, Du Liu, Cheng Yang, Qian Gu, Tianlan Li, Haili Long, Lili Huang, Li Wan

Abstract read
In one paragraph

Article in Frontiers in medicine, 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

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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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yanfei Ma *Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, China.
Du Liu *Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, China.
Cheng Yang *Sichuan Institute of Industrial Technology, Deyang, Sichuan, China.
Qian GuSichuan Institute of Industrial Technology, Deyang, Sichuan, China.
Tianlan LiMianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, China.
Haili Long *Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, China.
Lili Huang *Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, China.
Li Wan *Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the application effects of a nursing research order service model based on the "demand-resource" linkage in clinical nursing research management, and to provide practical reference for improving the scientific research capacity of nursing staff. Methods: From May to June 2025, clinical nurses and nursing postgraduate students who participated in the service model were selected as the research subjects. A general information questionnaire, Nursing Research Capacity Self-Assessment Scale, Nursing Research Self-Efficacy Questionnaire, and Organizational Climate for Innovation Scale were used to evaluate participants before and after the intervention. Data were analyzed using SPSS 25.0 software. Results: A total of 136 research demand orders from clinical nurses were received; after evaluation, 7 were declined and 129 were fulfilled. During the service process, 36 papers and 25 research projects were completed. Among the 126 nurses who submitted research orders, the total score of self-assessed research competence significantly improved after participation (mean difference = -0.611, 95% CI -0.931 to -0.291, Conclusion: The nursing research order service model, based on the "demand-resource" linkage, appears to enhance clinical nurses' research capacity and self-efficacy, while showing observed improvements in research abilities, self-efficacy, and perception of the organizational research climate among nursing postgraduate students. This model may be particularly relevant for clinical settings with limited nursing research resources and could help cultivate a supportive research environment, promote the development of nurses' research capabilities, and contribute to the advancement of the nursing discipline.

Indexed as

demand–resource theorydiscipline developmentnursenursingresearch

Identifiers

PMID41907237
PMCPMC13017291

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