Evidence map›Paper›PMID 28979494›Full record

ArticleJournal of the Intensive Care Society2016

Exploration of the barriers of reporting nursing errors in intensive care units: A qualitative study.

Hamid Peyrovi, Alireza Nikbakht Nasrabadi, Sina Valiee

Abstract read
In one paragraph

Article in Journal of the Intensive Care Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.5field-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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
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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

3 authors at 3 institutions in 1 country.

Hamid PeyroviNursing Care Research Center, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran.
Alireza Nikbakht NasrabadiSchool of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.
Sina ValieeSocial Determinants of Health Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Iranshahr University · IRIran University of Medical Sciences · IRKurdistan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe aim of this study was to explore the barriers to reporting nursing errors in intensive care units in Iranian hospitals.

methodsA descriptive qualitative analysis design was used. The data were collected through in-depth semi-structured interviews with a purposive sample of 16 nurses working in four general intensive care units in Kurdistan province, Iran. Interviews were transcribed and finally analysed through conventional content analysis.

resultsThere are four major barriers to the reporting of errors by nurses working in Iranian critical care units: (a) saving professional reputation and preventing stigma; (b) fear of consequences - punishment, legal problems and organisational misconduct; (c) feelings of insecurity - pointing a finger at nurses and lack of managerial support and (d) not investigating the root cause of error.

conclusionsThe findings revealed the need to support and provide security to nurses and to consider and find the cause of error occurrence. Managers must provide the required personal, professional and legal support for nurses to encourage them to effectively report errors, discover the root cause of errors and take measures to prevent them.

Indexed as

content analysisIncident reportsintensive carenursing errorsqualitative study

Identifiers

PMID28979494
PMCPMC5606520
OpenAlexW2346299059

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.