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Measuring health workers’ motivation composition: validation of a scale based on Self-Determination Theory in Burkina Faso

Overview of attention for article published in Human Resources for Health, May 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

policy
1 policy source
twitter
9 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
45 Mendeley
Title
Measuring health workers’ motivation composition: validation of a scale based on Self-Determination Theory in Burkina Faso
Published in
Human Resources for Health, May 2017
DOI 10.1186/s12960-017-0208-1
Pubmed ID
Authors

Julia Lohmann, Aurélia Souares, Justin Tiendrebéogo, Nathalie Houlfort, Paul Jacob Robyn, Serge M. A. Somda, Manuela De Allegri

Abstract

Although motivation of health workers in low- and middle-income countries (LMICs) has become a topic of increasing interest by policy makers and researchers in recent years, many aspects are not well understood to date. This is partly due to a lack of appropriate measurement instruments. This article presents evidence on the construct validity of a psychometric scale developed to measure motivation composition, i.e., the extent to which motivation of different origin within and outside of a person contributes to their overall work motivation. It is theoretically grounded in Self-Determination Theory (SDT). We conducted a cross-sectional survey of 1142 nurses in 522 government health facilities in 24 districts of Burkina Faso. We assessed the scale's validity in a confirmatory factor analysis framework, investigating whether the scale measures what it was intended to measure (content, structural, and convergent/discriminant validity) and whether it does so equally well across health worker subgroups (measurement invariance). Our results show that the scale measures a slightly modified version of the SDT continuum of motivation well. Measurements were overall comparable between subgroups, but results indicate that caution is warranted if a comparison of motivation scores between groups is the focus of analysis. The scale is a valuable addition to the repository of measurement tools for health worker motivation in LMICs. We expect it to prove useful in the quest for a more comprehensive understanding of motivation as well as of the effects and potential side effects of interventions intended to enhance motivation.

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 9 20%
Student > Master 9 20%
Student > Ph. D. Student 6 13%
Student > Doctoral Student 5 11%
Researcher 4 9%
Other 12 27%
Readers by discipline Count As %
Unspecified 13 29%
Medicine and Dentistry 13 29%
Nursing and Health Professions 7 16%
Business, Management and Accounting 5 11%
Social Sciences 4 9%
Other 3 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 26 May 2017.
All research outputs
#1,761,219
of 12,918,691 outputs
Outputs from Human Resources for Health
#246
of 690 outputs
Outputs of similar age
#51,896
of 265,042 outputs
Outputs of similar age from Human Resources for Health
#5
of 16 outputs
Altmetric has tracked 12,918,691 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 690 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has gotten more attention than average, scoring higher than 64% 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 265,042 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 16 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.