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The complex remuneration of human resources for health in low-income settings: policy implications and a research agenda for designing effective financial incentives

Overview of attention for article published in Human Resources for Health, July 2015
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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 (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

policy
1 policy source
twitter
16 X users
facebook
1 Facebook page

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
173 Mendeley
Title
The complex remuneration of human resources for health in low-income settings: policy implications and a research agenda for designing effective financial incentives
Published in
Human Resources for Health, July 2015
DOI 10.1186/s12960-015-0058-7
Pubmed ID
Authors

Maria Paola Bertone, Sophie Witter

Abstract

Human resources for health represent an essential component of health systems and play a key role to accelerate progress towards universal health coverage. Many countries in sub-Saharan Africa face challenges regarding the availability, distribution and performance of health workers, which could be in part addressed by providing effective financial incentives. Based on an overview of the existing literature, the paper highlights the gaps in the existing research in low-income countries exploring the different components of health workers' incomes. It then proposes a novel approach to the analysis of financial incentives and delineates a research agenda, which could contribute to shed light on this topic. The article finds that, while there is ample research that investigates separately each of the incomes health workers may earn (for example, salary, fee-for-service payments, informal incomes, "top-ups" and per diems, dual practice and non-health activities), there is a dearth of studies which look at the health workers' "complex remuneration", that is, the whole of the financial incentives available. Little research exists which analyses simultaneously all revenues of health workers, quantifies the overall remuneration and explores its complexity, its multiple components and their features, as well as the possible interaction between income components. However, such a comprehensive approach is essential to fully comprehend health workers' incentives, by investigating the causes (at individual and system level) of the fragmentation in the income structure and the variability in income levels, as well as the consequences of the "complex remuneration" on motivation and performance. This proposition has important policy implications in terms of devising effective incentive packages as it calls for an active consideration of the role that "complex remuneration" plays in determining recruitment, retention and motivation patterns, as well as, more broadly, the performance of health systems. This paper argues that research focusing on the health workers' "complex remuneration" is critical to address some of the most challenging issues affecting human resources for health. An empirical research agenda is proposed to fill the gap in our understanding.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Sierra Leone 1 <1%
Netherlands 1 <1%
Kenya 1 <1%
Unknown 168 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 43 25%
Student > Ph. D. Student 24 14%
Researcher 21 12%
Other 9 5%
Student > Doctoral Student 9 5%
Other 31 18%
Unknown 36 21%
Readers by discipline Count As %
Medicine and Dentistry 41 24%
Nursing and Health Professions 26 15%
Social Sciences 24 14%
Business, Management and Accounting 14 8%
Economics, Econometrics and Finance 8 5%
Other 17 10%
Unknown 43 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 20 June 2023.
All research outputs
#2,635,081
of 25,373,627 outputs
Outputs from Human Resources for Health
#305
of 1,261 outputs
Outputs of similar age
#32,761
of 275,144 outputs
Outputs of similar age from Human Resources for Health
#7
of 32 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 89th 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 done well, scoring higher than 75% 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 275,144 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 88% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.