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Relationships of work characteristics to job satisfaction, turnover intention, and burnout among doctors in the district public-private mixed health system of Bangladesh

Overview of attention for article published in BMC Health Services Research, June 2017
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Title
Relationships of work characteristics to job satisfaction, turnover intention, and burnout among doctors in the district public-private mixed health system of Bangladesh
Published in
BMC Health Services Research, June 2017
DOI 10.1186/s12913-017-2369-y
Pubmed ID
Authors

Ashim Roy, Trudy van der Weijden, Nanne de Vries

Abstract

Work design integrates work characteristics having organizational, social and job components which influence employees' welfare and also organizational goals. We investigated the effects of work characteristics and other predictors to job satisfaction, turnover intention, and burnout in doctors of the public primary, public secondary and private facilities of the district health system of Bangladesh. A quantitative study using a self-administered questionnaire containing mostly structured items was conducted among the public and private doctors with a sample size of 384 from 29 out of a total 64 districts of Bangladesh during October and November 2015. All variables including work characteristics and outcomes of interest were based on literature and measured on 5-point Likert scale. Multivariate analysis of variance, bivariate correlation, and multiple regression were the models operated through SPSS version-21. A total of 354 doctors responded. No significant differences were found between public primary and secondary level doctors on combined work characteristics and outcomes variables, which however differed significantly between the public and private doctors. Organizational support was the strongest predictor adversely affecting job satisfaction, turnover intention and burnout of both the public and private doctors; private doctors' experienced more support. The effects of health-professional politics on the public doctors were alarming. Work design of the Bangladesh's health system is in need of ample development. Doing so, improvement in organizational supports is crucial; however, other work characteristics components are also important for enhancing doctors' welfare and health system productivity.

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The data shown below were collected from the profiles of 3 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 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 196 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 35 18%
Student > Ph. D. Student 22 11%
Student > Bachelor 18 9%
Researcher 14 7%
Student > Doctoral Student 11 6%
Other 32 16%
Unknown 64 33%
Readers by discipline Count As %
Medicine and Dentistry 37 19%
Business, Management and Accounting 34 17%
Nursing and Health Professions 15 8%
Psychology 11 6%
Social Sciences 7 4%
Other 19 10%
Unknown 73 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 June 2017.
All research outputs
#16,137,527
of 25,508,813 outputs
Outputs from BMC Health Services Research
#5,829
of 8,697 outputs
Outputs of similar age
#188,244
of 330,337 outputs
Outputs of similar age from BMC Health Services Research
#103
of 138 outputs
Altmetric has tracked 25,508,813 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,697 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 29th percentile – i.e., 29% 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 330,337 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.