Evidence map›Paper›PMID 37228847›Full record

ArticleRisk management and healthcare policy2023

Prevalence and Influencing Factors of Physical Restraints in Intensive Care Units: A Retrospective Cohort Study.

Nianqi Cui, Hui Zhang, Sijie Gan, Yuping Zhang, Dandan Chen, Pingping Guo, Jingjie Wu, Zhuang Li, Jingfen Jin

Open access · goldAbstract read
In one paragraph

Article in Risk management and healthcare policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 8% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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 at 4 institutions in 1 country.

Nianqi Cui *Nursing Department, The Second Affiliated Hospital of Zhejiang University School of Medicine (SAHZU), Hangzhou, Zhejiang, People's Republic of China.
Hui Zhang *Department of Cardiology, Guizhou Provincial People's Hospital, Guiyang, Guizhou, People's Republic of China.
Sijie GanProduct Development Center, Zhejiang Xinhua Mobile Media Co. Ltd, Hangzhou, Zhejiang, People's Republic of China.
Yuping ZhangNursing Department, The Second Affiliated Hospital of Zhejiang University School of Medicine (SAHZU), Hangzhou, Zhejiang, People's Republic of China.
Dandan ChenFaculty of Nursing, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People's Republic of China.
Pingping GuoFaculty of Nursing, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People's Republic of China.
Jingjie WuFaculty of Nursing, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People's Republic of China.
Zhuang LiMedical Faculty, Yunnan College of Business Management, Kunming, Yunnan, People's Republic of China.
Jingfen JinNursing Department, The Second Affiliated Hospital of Zhejiang University School of Medicine (SAHZU), Hangzhou, Zhejiang, People's Republic of China.
Zhejiang University · CNSecond Affiliated Hospital of Zhejiang University · CNGuizhou Provincial People's Hospital · CNKunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Physical restraints are used routinely in intensive care units (ICUs) and have negative effects. It is critical to identify the impact factors of physical restraints on critically ill patients. The present study investigated the prevalence of physical restraints and impact factors associated with their use in a large cohort of critically ill patients over one year. Patients and Methods: A retrospective cohort study was performed in multiple ICUs at a tertiary hospital in China in 2019 using observational data from electronic medical records. The data consisted of demographics and clinical variables. Logistic regression was used to assess the independent impact factors for the use of physical restraint. Results: The analysis consisted of 3776 critically ill patients with a prevalence of physical restraint use of 48.8%. The logistic regression analysis indicated that physical restraint use was associated with independent risk factors, including surgical ICU admission, pain, tracheal tube placement, and abdominal drainage tube placement. Physical restraint use was associated with independent protective factors, including male sex, light sedation, muscle strength, and ICU length of stay. Conclusion: The prevalence of physical restraint use in critically ill patients was high. Tracheal tubes, surgical ICU, pain, abdominal drainage tubes, light sedation, and muscle strength were independent variables associated with the use of physical restraint. These results will assist health professionals in identifying high-risk physical restraint patients based on their impact factors. Early removal of the tracheal tube and abdominal drainage tube, pain relief, light sedation, and improvements in muscle strength may help reduce the use of physical restraints.

Indexed as

critical careepidemiologynursingphysicalrestraints

Identifiers

PMID37228847
PMCPMC10204753
OpenAlexW4377098180

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.