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Motivation and incentive preferences of community health officers in Ghana: an economic behavioral experiment approach

Overview of attention for article published in Human Resources for Health, August 2016
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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1 policy source
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10 X users

Citations

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17 Dimensions

Readers on

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123 Mendeley
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Title
Motivation and incentive preferences of community health officers in Ghana: an economic behavioral experiment approach
Published in
Human Resources for Health, August 2016
DOI 10.1186/s12960-016-0148-1
Pubmed ID
Authors

Sakiko Shiratori, Enoch Oti Agyekum, Akira Shibanuma, Abraham Oduro, Sumiyo Okawa, Yeetey Enuameh, Junko Yasuoka, Kimiyo Kikuchi, Margaret Gyapong, Seth Owusu-Agyei, Evelyn Ansah, Abraham Hodgson, Masamine Jimba, On behalf of the EMBRACE Implementation Research Team

Abstract

Health worker shortage in rural areas is one of the biggest problems of the health sector in Ghana and many developing countries. This may be due to fewer incentives and support systems available to attract and retain health workers at the rural level. This study explored the willingness of community health officers (CHOs) to accept and hold rural and community job postings in Ghana. A discrete choice experiment was used to estimate the motivation and incentive preferences of CHOs in Ghana. All CHOs working in three Health and Demographic Surveillance System sites in Ghana, 200 in total, were interviewed between December 2012 and January 2013. Respondents were asked to choose from choice sets of job preferences. Four mixed logit models were used for the estimation. The first model considered (a) only the main effect. The other models included interaction terms for (b) gender, (c) number of children under 5 in the household, and (d) years worked at the same community. Moreover, a choice probability simulation was performed. Mixed logit analyses of the data project a shorter time frame before study leave as the most important motivation for most CHOs (β 2.03; 95 % CI 1.69 to 2.36). This is also confirmed by the largest simulated choice probability (29.1 %). The interaction effect of the number of children was significant for education allowance for children (β 0.58; 95 % CI 0.24 to 0.93), salary increase (β 0.35; 95 % CI 0.03 to 0.67), and housing provision (β 0.16; 95 % CI -0.02 to 0.60). Male CHOs had a high affinity for early opportunity to go on study leave (β 0.78; 95 % CI -0.06 to 1.62). CHOs who had worked at the same place for a long time greatly valued salary increase (β 0.28; 95 % CI 0.09 to 0.47). To reduce health worker shortage in rural settings, policymakers could provide "needs-specific" motivational packages. They should include career development opportunities such as shorter period of work before study leave and financial policy in the form of salary increase to recruit and retain them.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 123 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 16%
Researcher 13 11%
Student > Ph. D. Student 13 11%
Student > Doctoral Student 8 7%
Other 8 7%
Other 22 18%
Unknown 39 32%
Readers by discipline Count As %
Medicine and Dentistry 25 20%
Nursing and Health Professions 15 12%
Social Sciences 12 10%
Economics, Econometrics and Finance 8 7%
Business, Management and Accounting 3 2%
Other 16 13%
Unknown 44 36%
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 20 June 2023.
All research outputs
#3,703,630
of 25,371,288 outputs
Outputs from Human Resources for Health
#452
of 1,261 outputs
Outputs of similar age
#62,098
of 355,231 outputs
Outputs of similar age from Human Resources for Health
#6
of 19 outputs
Altmetric has tracked 25,371,288 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 1,261 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 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 355,231 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 82% 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 has gotten more attention than average, scoring higher than 68% of its contemporaries.