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Which incentive package will retain regionalized health personnel in Burkina Faso: a discrete choice experiment

Overview of attention for article published in Human Resources for Health, May 2014
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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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
2 blogs
twitter
7 tweeters

Citations

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15 Dimensions

Readers on

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70 Mendeley
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Title
Which incentive package will retain regionalized health personnel in Burkina Faso: a discrete choice experiment
Published in
Human Resources for Health, May 2014
DOI 10.1186/1478-4491-12-s1-s7
Pubmed ID
Authors

Fadima Yaya Bocoum, Eddine Koné, Seni Kouanda, W Maurice E Yaméogo, Aristide Romaric Bado

Abstract

The lack of motivation of health workers to practice in rural areas remains a crucial problem for decision-makers, as it deprives the majority of access to health care. To solve the problem, many countries have implemented health worker retention strategies. However, the development of such strategies requires an understanding of the preferences of health workers. The objective of the study was to identify a package for attracting and retaining health workers in underserved areas. A cross sectional study was conducted in three health regions of Burkina Faso in 2012. A discrete choice experiment was used to investigate preferences for incentive packages among health workers recruited under the regionalized policy. In-depth interviews and focus group discussions with health workers currently working in the East and Sahel regions and policy makers, and a literature review on attraction and retention in low income countries, were performed to identify the attributes and levels. These attributes were: the regionalized recruitment policy, health insurance, work equipment, housing, and specific incentive compensation. The final design resulted in 16 choice sets. A multinomial logistic regression was used to determine the influence of socio-demographic characteristics on choice of a given option. A probit logistic regression model was then used to analyze the effect of these difference variables on choice, to identify the incentive package best suited to health workers. In total, questionnaires were administered to 315 regional health workers. For all participants, choice of package was strongly influenced by length of commitment under the policy and provision of housing. Sex, number of years in profession, and location also influenced the choice of package. Women are twice more likely to choose a package with free housing and the cancellation of the policy. It is important that governments consider health worker preferences in crafting policies to address attraction and retention in underserved areas. In addition, the methodology of discrete choice experiment has been particularly useful, not only for better understanding the factors explaining the reluctance of health workers to work in underserved areas, but also to provide practical advice to the government, to improve its retention policy.

Twitter Demographics

The data shown below were collected from the profiles of 7 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 1%
Unknown 69 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 31%
Researcher 12 17%
Student > Postgraduate 7 10%
Professor > Associate Professor 4 6%
Student > Ph. D. Student 4 6%
Other 9 13%
Unknown 12 17%
Readers by discipline Count As %
Medicine and Dentistry 22 31%
Nursing and Health Professions 11 16%
Social Sciences 8 11%
Economics, Econometrics and Finance 6 9%
Business, Management and Accounting 5 7%
Other 5 7%
Unknown 13 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 28 August 2014.
All research outputs
#1,665,592
of 21,043,606 outputs
Outputs from Human Resources for Health
#183
of 1,081 outputs
Outputs of similar age
#18,231
of 204,474 outputs
Outputs of similar age from Human Resources for Health
#3
of 8 outputs
Altmetric has tracked 21,043,606 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,081 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done well, scoring higher than 83% 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 204,474 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.