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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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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

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1 policy source
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8 X users

Citations

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34 Dimensions

Readers on

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126 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 126 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 15%
Researcher 14 11%
Student > Doctoral Student 13 10%
Student > Ph. D. Student 12 10%
Student > Bachelor 5 4%
Other 27 21%
Unknown 36 29%
Readers by discipline Count As %
Medicine and Dentistry 20 16%
Nursing and Health Professions 15 12%
Business, Management and Accounting 12 10%
Social Sciences 12 10%
Economics, Econometrics and Finance 8 6%
Other 13 10%
Unknown 46 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 04 November 2019.
All research outputs
#4,690,268
of 25,382,440 outputs
Outputs from Human Resources for Health
#548
of 1,261 outputs
Outputs of similar age
#76,066
of 327,324 outputs
Outputs of similar age from Human Resources for Health
#8
of 18 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,261 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has gotten more attention than average, scoring higher than 56% 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 327,324 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 76% of its contemporaries.
We're also able to compare this research output to 18 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 55% of its contemporaries.