Evidence map›Paper›PMID 38167213›Full record

Trial reportRespiratory care2024

Development of a Cost-Effective 3D-Printed Airway Suction Simulator for Respiratory Therapy Students.

Shih-Hsing Yang, Chao-Yu Chen, Wei-Lun Liu, Hsia-Wei Liu, Ke-Yun Chao

Open access · greenAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Respiratory care, 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
0.3field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

5 authors at 1 institution in 1 country.

Shih-Hsing YangDepartment of Respiratory Therapy, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, Taiwan; and Department of Respiratory Therapy, Fu Jen Catholic University, New Taipei City, Taiwan.
Chao-Yu ChenDepartment of Respiratory Therapy, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, Taiwan; and Department of Life Science, Fu Jen Catholic University, New Taipei City, Taiwan.
Wei-Lun LiuSchool of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan; Department of Critical Care Medicine, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, Taiwan; and Data Science Center, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan.
Hsia-Wei LiuDepartment of Life Science, Fu Jen Catholic University, New Taipei City, Taiwan; and Graduate Institute of Applied Science and Engineering, Fu Jen Catholic University, New Taipei City, Taiwan.
Ke-Yun ChaoDepartment of Respiratory Therapy, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City, Taiwan; School of Physical Therapy, Graduate Institute of Rehabilitation Sciences, Chang Gung University, Taoyuan, Taiwan; and Artificial Intelligence Development Center, Fu Jen Catholic University, New Taipei City, Taiwan. ck_qq@hotmail.com.
Fu Jen Catholic University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThree-dimensional (3D)-printed models are cost-effective and can be customized by trainers. This study designed a 3D-printed airway suction simulator for use by respiratory therapy (RT) students. The objective was to demonstrate the cost-effectiveness and application of 3D-printed models in respiratory care training, aiming to enhance the educational experience for RT students.

methodsThis study developed a 3D-printed airway suction simulator that was cost-effective. A randomized controlled trial was conducted involving RT students to compare effectiveness in a 3D-model group and a control group. Skill assessments and written examinations were used to evaluate the participants' knowledge and skills.

resultsA total of 38 second-year RT students were randomly assigned to either the 3D-model group (

conclusionsThis study demonstrated that 3D printing can be used to create a safe and cost-effective airway suction simulator for use by RT students, with potential to enhance training methods. Further research is necessary.

Indexed as

Printing, Three-DimensionalRespiratory TherapySimulation TrainingClinical CompetenceCost-Benefit AnalysisEducational MeasurementFemaleHumansMaleModels, AnatomicSuction3D printingairway suctionmedical educationrespiratory therapytraining simulator

Identifiers

PMID38167213
PMCPMC11147610
OpenAlexW4390595209

What OpenQuestion holds

Textmetadata
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.