Evidence map›Paper›PMID 41919295›Full record

ArticleFrontiers in public health2026

Effectiveness of a comprehensive nursing prevention and control system for respiratory infections in fever clinics in the era of co-existence of multiple pathogens.

Hui Wang, Meijing Yan, Panpan Zhang, Jing Ma, Shanshan Zhao, Xiaoqing Li, Hong Dai, Yan Zhou, Ran Cui

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PubMed Full text at PMC Publisher
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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. 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

9 authors.

Hui WangBeijing Youan Hospital, Capital Medical University, Infection General Fever Clinic, Beijing, China.
Meijing YanBeijing Youan Hospital, Capital Medical University, Infection General Fever Clinic, Beijing, China.
Panpan ZhangBeijing Youan Hospital, Capital Medical University, Infection General Fever Clinic, Beijing, China.
Jing MaBeijing Youan Hospital, Capital Medical University, Infection General Fever Clinic, Beijing, China.
Shanshan ZhaoBeijing Youan Hospital, Capital Medical University, Infection General Fever Clinic, Beijing, China.
Xiaoqing LiBeijing Youan Hospital, Capital Medical University, Infection General Fever Clinic, Beijing, China.
Hong DaiBeijing Youan Hospital, Capital Medical University, Infection General Fever Clinic, Beijing, China.
Yan ZhouBeijing Youan Hospital, Capital Medical University, Infection General Fever Clinic, Beijing, China.
Ran CuiBeijing Youan Hospital, Capital Medical University, Information Network Management Center, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To construct a comprehensive nursing prevention and control system for fever clinics that is suitable for an environment in which multiple pathogens coexist, to evaluate its effectiveness in preventing nosocomial cross-infection and to provide a preventable and controllable model that can be promoted in similar medical institutions. Methods: A retrospective cohort study was conducted involving 37,475 patients who attended the fever clinic of a tertiary hospital between January 2022 and March 2025. A total of 18,155 patients, treated between January 2022 and February 2023, were assigned to the control group, whereas 19,320 patients, treated between March 2023 and March 2025, were assigned to the observation group. The control group received routine nursing care, whereas the observation group received the comprehensive nursing prevention and control system proposed in this study, with "accurate identification, process optimisation, environmental and personnel protection and patient education" as its core components. Outcome measures included patient improvement before and after implementation of the comprehensive nursing prevention and control system, anxiety and depression scores, patient satisfaction and patients' mastery of educational content. Results: No cases of nosocomial infection were identified among patients, medical staff or accompanying persons before or after implementation of the comprehensive nursing prevention and control system. However, compared with the control group, the proportions of patients with multiple visits and those with aggravated conditions were both reduced in the observation group. In contrast, the number of patients with improved symptoms and the number of cases with consistent diagnoses increased significantly. Regarding scores on the Self-Rating Anxiety Scale (SAS) and the Self-Rating Depression Scale (SDS), the observation group had lower scores (SAS: 32.50 ± 8.32; SDS: 31.03 ± 10.77) than the control group (SAS: 39.20 ± 4.15; SDS: 42.60 ± 8.95; Conclusion: The comprehensive nursing prevention and control system constructed based on the reality of co-existence of multiple pathogens effectively prevents nosocomial cross-infection, significantly improves the nursing quality of fever clinics and patient satisfaction and provides a feasible and practical model and theoretical basis for infection prevention and control in medical institutions in the post-pandemic era.

Indexed as

Cross InfectionFeverInfection ControlRespiratory Tract InfectionsAdultAgedFemaleHumansMaleMiddle AgedPatient SatisfactionRetrospective Studiesco-existence of multiple pathogenscomprehensive nursingfever clinicprevention and control of nosocomial infectionrespiratory tract infection

Identifiers

PMID41919295
PMCPMC13033702

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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.