Evidence map›Paper›PMID 28979754›Full record

ArticleElectronic physician2017

Correlation between medication errors with job satisfaction and fatigue of nurses.

Shahnaz Bolandianbafghi, Tahere Salimi, Maryam Rassouli, Reza Faraji, Mohammadtaghi Sarebanhassanabadi

Abstract read
In one paragraph

Article in Electronic physician, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

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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

6 citing papers in PubMed.

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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

5 authors.

Shahnaz BolandianbafghiM.Sc., Department of Nursing, Yazd Branch, Islamic Azad University, Yazd, Iran.
Tahere SalimiM.Sc., Department of Pediatrics, Faculty of Nursing & Midwifery, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Maryam RassouliPh.D., Assistant Professor, Nursing & Midwifery School, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Reza FarajiPh.D. Student, Kermanshah Cardiovascular Research Centre, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Mohammadtaghi SarebanhassanabadiPh.D. Student, Yazd Cardiovascular Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedication errors which can cause several medical malfunctions, have been in the spotlight recently. Job satisfaction and fatigue seems to be related to the increase of medication errors in nursing.

objectiveThis study aimed to determine the correlation between the amount and type of medication errors with job satisfaction and fatigue of nurses working in Shahid Sadoughi hospital in Yazd-Iran.

methodsThis is a descriptive study by a cross-sectional and correlational approach conducted on all the nurses working in an educational hospital who have characteristics of samples. Participants were 170 nurses working in Shahid Sadooghi hospital in Yazd, Iran in 2012. The questionnaires of demographic characteristics, medication administration error and nurses' job satisfaction and fatigue by purposive sampling were used for gathering data. Validity and reliability were checked for internal consistency and stability. Data were analysed by SPSS version 17 using Pearson correlation coefficient and Independent-samples t-test.

resultsThe findings did not illustrate a significant relationship between job satisfaction and fatigue with medication errors. Among the demographic characteristics, age of nurses was significantly associated with the frequency of medication errors (p=0.037). However, others were not significantly correlated (p>0.05).

conclusionIn spite of the findings, based on no significant statistical relationship between job satisfaction and fatigue with the type and amount of medication errors in nursing, the effect of these variables on medication errors cannot be disregarded; thus further studies in this area are suggested.

Indexed as

FatigueJob satisfactionMedication errorsNurse

Identifiers

PMID28979754
PMCPMC5614304

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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.