↓ Skip to main content

Factors Predicting Ethiopian Anesthetists’ Intention to Leave Their Job

Overview of attention for article published in World Journal of Surgery, November 2017
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
72 Mendeley
Title
Factors Predicting Ethiopian Anesthetists’ Intention to Leave Their Job
Published in
World Journal of Surgery, November 2017
DOI 10.1007/s00268-017-4318-7
Pubmed ID
Authors

Adrienne Kols, Sharon Kibwana, Yohannes Molla, Firew Ayalew, Mihereteab Teshome, Jos van Roosmalen, Jelle Stekelenburg

Abstract

Ethiopia has rapidly expanded training programs for associate clinician anesthetists in order to address shortages of anesthesia providers. However, retaining them in the public health sector has proven challenging. This study aimed to determine anesthetists' intentions to leave their jobs and identify factors that predict turnover intentions. A nationally representative, cross-sectional survey of 251 anesthetists working in public-sector hospitals in Ethiopia was conducted in 2014. Respondents were asked whether they planned to leave the job in the next year and what factors they considered important when making decisions to quit. Bivariate and multivariable logistic regressions were conducted to investigate 16 potential predictors of turnover intentions, including personal and facility characteristics as well as decision-making factors. Almost half (n = 120; 47.8%) of anesthetists planned to leave their jobs in the next year, and turnover intentions peaked among those with 2-5 years of experience. Turnover intentions were not associated with the compulsory service obligation. Anesthetists rated salary and opportunities for professional development as the most important factors in decisions to quit. Five predictors of turnover intentions were significant in the multivariable model: younger age, working at a district rather than regional or referral hospital, the perceived importance of living conditions, opportunities for professional development, and conditions at the workplace. Human resources strategies focused on improving living conditions for anesthetists and expanding professional development opportunities may increase retention. Special attention should be focused on younger anesthetists and those posted at district hospitals.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 18%
Researcher 8 11%
Lecturer 7 10%
Other 6 8%
Student > Postgraduate 4 6%
Other 15 21%
Unknown 19 26%
Readers by discipline Count As %
Medicine and Dentistry 11 15%
Business, Management and Accounting 9 13%
Nursing and Health Professions 9 13%
Social Sciences 4 6%
Psychology 4 6%
Other 9 13%
Unknown 26 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 November 2017.
All research outputs
#12,863,066
of 23,007,887 outputs
Outputs from World Journal of Surgery
#2,375
of 4,261 outputs
Outputs of similar age
#152,259
of 330,777 outputs
Outputs of similar age from World Journal of Surgery
#46
of 93 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,261 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 330,777 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.