Evidence map›Paper›PMID 39262699›Full record

ArticleAmerican journal of translational research2024

Development of an early mobilization practice for critically ill patients in intensive care units: a Delphi method study.

Biantong Jiang, Huan Liu, Yao Liu, Yongming Tian, Mengzhen Nie, Wenwen Jing, Aiping Du

Abstract read
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Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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.

Biantong JiangDepartment of Critical Care Medicine, West China Hospital/West China School of Nursing, Sichuan University Chengdu 610041, Sichuan, China.
Huan LiuDepartment of Critical Care Medicine, West China Hospital/West China School of Nursing, Sichuan University Chengdu 610041, Sichuan, China.
Yao LiuDepartment of Critical Care Medicine, West China Hospital/West China School of Nursing, Sichuan University Chengdu 610041, Sichuan, China.
Yongming TianDepartment of Critical Care Medicine, West China Hospital/West China School of Nursing, Sichuan University Chengdu 610041, Sichuan, China.
Mengzhen NieDepartment of Critical Care Medicine, West China Hospital/West China School of Nursing, Sichuan University Chengdu 610041, Sichuan, China.
Wenwen JingDepartment of Critical Care Medicine, West China Hospital/West China School of Nursing, Sichuan University Chengdu 610041, Sichuan, China.
Aiping DuDepartment of Critical Care Medicine, West China Hospital/West China School of Nursing, Sichuan University Chengdu 610041, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a comprehensive and evidence-based early rehabilitation framework for critically ill patients, aiming to establish a systematic and scientifically grounded rehabilitation system.

methodsA Delphi survey study was conducted, involving two rounds of consultations with 24 experts from critical care medicine, nursing, respiratory therapy, and rehabilitation medicine. Based on evidence from the literature, a draft rehabilitation system was created and evaluated using a Likert 5-point scale. Entries were refined based on expert feedback, with criteria for inclusion being a mean score ≥4, a coefficient of variation <0.25, and agreement (percentage of ratings as "very important" or "important" and "very operative" or "strong operability") ≥75%. Entries were modified or deleted according to expert suggestions.

resultsThe survey achieved recall rates of 95.8% (23/24) and 86.9% (20/23) in the first and second rounds, respectively. The experts' judgment basis, familiarity, and authority coefficients were 0.96, 0.94, and 0.95, respectively. Following the initial round, 20 questionnaire entries were amended, 14 new entries were added, and 1 was deleted. The second round of Delphi consultations resulted in an early rehabilitation system consisting of 5 primary indicators, 21 secondary indicators, and 56 tertiary indicators, totaling 82 entries.

conclusionsThis study established the first Chinese early rehabilitation system for critically ill patients based on the scientific Delphi method. It provides a structured framework that can serve as a reference for early rehabilitation practices in settings for critically ill patients.

Indexed as

Critically ill patientsDelphi methodearly rehabilitation

Identifiers

PMID39262699
PMCPMC11384373

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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.