Evidence map›Paper›PMID 39434827›Full record

ArticleJournal of multidisciplinary healthcare2024

Analysis of the Integrated Management Model of Medical Care and Medication in Intravenous Treatment for Critically Ill Patients.

Peng Gao, Yanshuo Wu, Xinhui Wu, Jing Bai, Kangkang Shen, Yanling Yin

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2024. 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

6 authors.

Peng GaoDepartment of Critical Care Medicine, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050000, People's Republic of China.
Yanshuo WuDepartment of Critical Care Medicine, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050000, People's Republic of China.
Xinhui WuDepartment of Critical Care Medicine, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050000, People's Republic of China.
Jing BaiDepartment of Pharmacy, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050000, People's Republic of China.
Kangkang ShenDepartment of Critical Care Medicine, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050000, People's Republic of China.
Yanling YinDepartment of Critical Care Medicine, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the effect of the Integrated Management Model of Doctor-Nurse-Pharmacist Collaboration on the Safety of Intravenous Therapy in Critically Ill Patients. Methods: 1587 patients who were hospitalized in the Intensive Care Department of the Fourth Hospital of Hebei Medical University in China from January 2021 to December 2022 were selected. 768 patients before the implementation of the integrated medical, nursing, and drug management model were selected as the control group, and 819 patients who implemented the integrated medical, nursing, and drug management model were selected as the observation group. Results: Compared with the control group, the incidence of drug compatibility contraindications in the observation group decreased from 3.5% to 1.5% (χ Conclusion: The Integrated Management Model of Doctor-Nurse-Pharmacist Collaboration significantly reduced the incidence of catheter-related bloodstream infections (CRBSI), drug incompatibility, and other intravenous therapy-related complications, thereby enhancing the safety of intravenous therapy in critically ill patients.

Indexed as

complicationintegration of doctor-nurse-pharmacistintravenous treatment safetysevere patients

Identifiers

PMID39434827
PMCPMC11492917

What OpenQuestion holds

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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.