Evidence map›Paper›PMID 32317274›Full record

ArticleBMJ open quality2020

Improving patient safety during intrahospital transportation of mechanically ventilated patients with critical illness.

Shwu-Jen Lin, Chin-Yuan Tsan, Mao-Yuan Su, Chao-Ling Wu, Li-Chin Chen, Hsiu-Jung Hsieh, Wei-Ling Hsiao, Jui-Chen Cheng, Yao-Wen Kuo, Jih-Shuin Jerng and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open quality, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

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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

12 authors at 1 institution in 1 country.

Shwu-Jen LinDivision of Respiratory Therapy, Department of Integrated Diagnostics and Therapeutics, National Taiwan University Hospital, Taipei, Taiwan.
Chin-Yuan TsanDepartment of Nursing, National Taiwan University Hospital, Taipei, Taiwan.
Mao-Yuan SuDepartment of Radiology, National Taiwan University Hospital, Taipei, Taiwan.
Chao-Ling WuDivision of Respiratory Therapy, Department of Integrated Diagnostics and Therapeutics, National Taiwan University Hospital, Taipei, Taiwan.
Li-Chin ChenCenter for Quality Management, National Taiwan University Hospital, Taipei, Taiwan.
Hsiu-Jung HsiehDepartment of Nursing, National Taiwan University Hospital, Taipei, Taiwan.
Wei-Ling HsiaoDepartment of Nursing, National Taiwan University Hospital, Taipei, Taiwan.
Jui-Chen ChengDivision of Respiratory Therapy, Department of Integrated Diagnostics and Therapeutics, National Taiwan University Hospital, Taipei, Taiwan.
Yao-Wen KuoDivision of Respiratory Therapy, Department of Integrated Diagnostics and Therapeutics, National Taiwan University Hospital, Taipei, Taiwan.
Jih-Shuin JerngCenter for Quality Management, National Taiwan University Hospital, Taipei, Taiwan jsjerng@ntu.edu.tw.ORCID 0000-0002-5324-8523
Huey-Dong WuDivision of Respiratory Therapy, Department of Integrated Diagnostics and Therapeutics, National Taiwan University Hospital, Taipei, Taiwan.
Jui-Sheng SunCenter for Quality Management, National Taiwan University Hospital, Taipei, Taiwan.
National Taiwan University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimIntrahospital transportation (IHT) of patients under mechanical ventilation (MV) significantly increases the risk of patient harm. A structured process performed by a well-prepared team with adequate communication among team members plays a vital role in enhancing patient safety during transportation. DESIGN AND IMPLEMENTATION: We conducted this quality improvement programme at the intensive care units of a university-affiliated medical centre, focusing on the care of patients under MV who received IHT for CT or MRI examinations. With the interventions based on the analysis finding of the IHT process by healthcare failure mode and effects analysis, we developed and implemented strategies to improve this process, including standardisation of the transportation process, enhancing equipment maintenance and strengthening the teamwork among the transportation teammates. In a subsequent cycle, we developed and implemented a new process with the practice of reminder-assisted briefing. The reminders were printed on cards with mnemonics including 'VITAL' (Vital signs, Infusions, Tubes, Alarms and Leave) attached to the transportation monitors for the intensive care unit nurses, 'STOP' (Secretions, Tubes, Oxygen and Power) attached to the transportation ventilators for the respiratory therapists and 'STOP' (Speak-out, Tubes, Others and Position) attached to the examination equipment for the radiology technicians. We compared the incidence of adverse events and completeness and correctness of the tasks deemed to be essential for effective teamwork before and after implementing the programme.

resultsThe implementation of the programme significantly reduced the number and incidence of adverse events (1.08% vs 0.23%, p=0.01). Audits also showed improved teamwork during transportation as the team members showed increased completeness and correctness of the essential IHT tasks (80.8% vs 96.5%, p<0.001).

conclusionThe implementation of reminder-assisted briefings significantly enhanced patient safety and teamwork behaviours during the IHT of mechanically ventilated patients with critical illness.

Indexed as

Critical IllnessHumansPatient SafetyQuality ImprovementQuality of Health CareRespiration, ArtificialTransportation of Patientscritical carepatient safetyrespite careteam trainingtransportation of patients

Identifiers

PMID32317274
PMCPMC7202726
OpenAlexW3016512998

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Registered trials

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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.