Evidence map›Paper›PMID 33083318›Full record

ReviewIranian journal of public health2020

Intensive Care Unit Risk Assessment: A Systematic Review.

Abbas Homauni, Sanaz Zargar Balaye Jame, Ebrahim Hazrati, Nader Markazi-Moghaddam

Open access · goldAbstract readReview
In one paragraph

Review in Iranian journal of public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Medication Prescription Errors in Intensive Care Unit: An Avoidable Menace.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2022
    Article
  7. 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

4 authors at 2 institutions in 1 country.

Abbas HomauniDepartment of Health Economics and Management, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Sanaz Zargar Balaye JameDepartment of Health Management and Economics, School of Medicine, AJA University of Medical Sciences, Tehran, Iran.
Ebrahim HazratiDepartment of Anesthesiology, AJA University of Medical Sciences, Tehran, Iran.
Nader Markazi-MoghaddamDepartment of Health Management and Economics, School of Medicine, AJA University of Medical Sciences, Tehran, Iran.
Aja University of Medical Sciences · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is of paramount importance to reduce the probability of clinical risks to improve the quality of health care services, make the relationship between service providers and patients more effective, enhance patient satisfaction, and decrease the rate of complaints regarding medical errors in hospitals. This study aimed at detecting potential and unacceptable risks occurring in the hospital ICUs.

methodsIn this systematic review, all studies examining the risk assessment of ICUs in hospitals using Failure Mode and Effect Analysis method were reviewed. Google scholar, PubMed, Scopus, SID, Magiran and Web of Science databases were searched to find relevant articles published from 1980 to 2019.

resultsThe most frequent failures detected in the reviewed articles consisted of high risk of infection inwards for medical and nursing operations, high infection rates inwards for medical devices' operation within the unit, and early discharge. Moreover, the processes through which potential high-risk Failures were examined in these studies were injection or prescription process, suction process, the process of inserting or removing endotracheal tubes, the process of transferring patients from the operation room to the unit or vice versa, pressure ulcers, and processes related to the medical devices' operation.

conclusionThere are many possible reasons for failure occurring throughout these processes, and the failure modes occurring in these processes are more probable to cause serious damages to patients, have high repeatability with low probability of failure detection as the failures cannot be discovered by the personnel.

Indexed as

Failure mode and effect analysisIntensive care unit (ICU)Risk assessment

Identifiers

PMID33083318
PMCPMC7554395
OpenAlexW3046909187

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.