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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Average Attention Score compared to outputs of the same age and source

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mendeley
61 Mendeley
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Article details
Title
Can the work ability model provide a useful explanatory framework to understand sustainable employability amongst general practitioners: a qualitative study
Published in
Human Resources for Health, July 2018
DOI 10.1186/s12960-018-0292-x
Pubmed ID
Authors
Abstract

Work ability (WA) is an indication of how well someone's health, skills and experience match current job demands. The aim of this study was to ascertain whether the work ability model can provide a useful explanatory framework to understand some elements of sustainable employability (SE) amongst GPs. A thematic analysis of 19 in-depth interviews with GPs in the Northern Rivers region of NSW, Australia, was conducted and formed the basis for a qualitative validation of the work ability model. In order to provide a more comprehensive reflection on the factors and dynamics found to underpin work ability amongst ageing GPs required the creation of specific subcategories within the WA model. Additionally, new themes relevant to general practice also emerged from the data. The analyses revealed a set of important, new factors and relationships that required additions and refinements to the original model, in order to fully explain sustainable employability in this GP sample. These new emerging themes that required model extension were 'Work-life balance and lifestyle', 'Extended social community' and 'Impact of gender'. While the WA model provides a basic explanatory framework for understanding some elements of sustainable employability amongst GPs, a revision of the current model has been proposed to sufficiently describe the factors impinging on sustainable employability in this group. The extended model can potentially be used for addressing workforce planning issues and to assist in programme design to promote sustainable employability amongst GPs and could potentially be translated to other health professional groups.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 10 16%
Student > Doctoral Student 7 11%
Researcher 6 10%
Student > Bachelor 4 7%
Student > Master 4 7%
Other 7 11%
Unknown 23 38%
Readers by discipline
Readers by discipline Count As %
Business, Management and Accounting 12 20%
Social Sciences 8 13%
Medicine and Dentistry 5 8%
Nursing and Health Professions 4 7%
Psychology 4 7%
Other 3 5%
Unknown 25 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 05 August 2018.
All research outputs
#4,066,503
of 28,815,917 outputs
Outputs from Human Resources for Health
#459
of 1,331 outputs
Outputs of similar age
#66,797
of 346,888 outputs
Outputs of similar age from Human Resources for Health
#12
of 19 outputs
Altmetric has tracked 28,815,917 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,331 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has gotten more attention than average, scoring higher than 65% of its peers.
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 346,888 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.