Evidence map›Paper›PMID 32523425›Full record

ArticleBMC nursing2020

Nurses' intention to leave their job and associated factors in Bahir Dar, Amhara Region, Ethiopia, 2017.

Emiru Ayalew, Yinager Workineh

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC nursing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
7.3field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 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

2 authors at 1 institution in 1 country.

Emiru AyalewDepartment of Adult Health Nursing, College of Medicine and Health Science, Bahir Dar University, Bahir Dar, Ethiopia.
Yinager WorkinehDepartment of Child Health Nursing, College of Medicine and Health Science, Bahir Dar University, Bahir Dar, Ethiopia.
Bahir Dar University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntention to leave is an employee's plan of tendency to leave the current working institute to find an alternative job in the near future. Even though nurses are the backbone of patient caring, there was no study done on intention to leave their job in North West Ethiopia. Therefore, the aim of this study was to assess nurses' intention to leave their job and associated factors in Bahir Dar, North West Ethiopia, 2017.

methodsAn institutional-based cross-sectional study was conducted from 1st March to 30th March 2017. After proportional sample size allocation, 210 participants were selected by simple random sampling method. Data were collected by using a self-administered structured questionnaire. Statistical Package for Social Science version 23.0 was used to enter, clean, code and analyze the collected data. The association between independent and dependent variables was assessed by using bivariable and multivariable logistic regression model. Factors that had statistically significant association with the dependent variable (

resultFrom a total of 210 nurses, 191 of them were participating in this study making a response rate of 90.95%. From all nurses, 64.4%of them were employed in the hospital. In this study, nurses' overall intention to leave their job was 64.9% (95% CI: [57.6, 71.2]). Nurses' intention to leave their job was determined by disagree in recognition (AOR = 4.83; 95%CI: [1.73, 13.50]), and work itself (AOR = 31.30; 95%CI: [7.16, 136.78]).

conclusionNurses' intention to leave their job in the current study was high. The contributing factors for this problem were disagree in recognition at work and work itself. Hence, we recommended that hospital and health center managers should maintain recognition at work and work itself to retain nurses.

Indexed as

EthiopiaFactorsIntention to leaveNurse

Identifiers

PMID32523425
PMCPMC7278137
OpenAlexW3033850145

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.