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Human resources for primary health care in sub-Saharan Africa: progress or stagnation?

Overview of attention for article published in Human Resources for Health, September 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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

policy
1 policy source
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15 X users

Citations

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101 Dimensions

Readers on

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350 Mendeley
Title
Human resources for primary health care in sub-Saharan Africa: progress or stagnation?
Published in
Human Resources for Health, September 2015
DOI 10.1186/s12960-015-0073-8
Pubmed ID
Authors

Merlin L Willcox, Wim Peersman, Pierre Daou, Chiaka Diakité, Francis Bajunirwe, Vincent Mubangizi, Eman Hassan Mahmoud, Shabir Moosa, Nthabiseng Phaladze, Oathokwa Nkomazana, Mustafa Khogali, Drissa Diallo, Jan De Maeseneer, David Mant

Abstract

The World Health Organization defines a "critical shortage" of health workers as being fewer than 2.28 health workers per 1000 population and failing to attain 80% coverage for deliveries by skilled birth attendants. We aimed to quantify the number of health workers in five African countries and the proportion of these currently working in primary health care facilities, to compare this to estimates of numbers needed and to assess how the situation has changed in recent years. This study is a review of published and unpublished "grey" literature on human resources for health in five disparate countries: Mali, Sudan, Uganda, Botswana and South Africa. Health worker density has increased steadily since 2000 in South Africa and Botswana which already meet WHO targets but has not significantly increased since 2004 in Sudan, Mali and Uganda which have a critical shortage of health workers. In all five countries, a minority of doctors, nurses and midwives are working in primary health care, and shortages of qualified staff are greatest in rural areas. In Uganda, shortages are greater in primary health care settings than at higher levels. In Mali, few community health centres have a midwife or a doctor. Even South Africa has a shortage of doctors in primary health care in poorer districts. Although most countries recognize village health workers, traditional healers and traditional birth attendants, there are insufficient data on their numbers. There is an "inverse primary health care law" in the countries studied: staffing is inversely related to poverty and level of need, and health worker density is not increasing in the lowest income countries. Unless there is money to recruit and retain staff in these areas, training programmes will not improve health worker density because the trained staff will simply leave to work elsewhere. Information systems need to be improved in a way that informs policy on the health workforce. It may be possible to use existing resources more cost-effectively by involving skilled staff to supervise and support lower level health care workers who currently provide the front line of primary health care in most of Africa.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 350 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 3 <1%
Tanzania, United Republic of 1 <1%
Ethiopia 1 <1%
South Africa 1 <1%
Spain 1 <1%
Unknown 343 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 74 21%
Student > Ph. D. Student 37 11%
Researcher 29 8%
Student > Bachelor 24 7%
Student > Postgraduate 21 6%
Other 83 24%
Unknown 82 23%
Readers by discipline Count As %
Medicine and Dentistry 93 27%
Nursing and Health Professions 64 18%
Social Sciences 30 9%
Business, Management and Accounting 12 3%
Agricultural and Biological Sciences 7 2%
Other 48 14%
Unknown 96 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 21 March 2022.
All research outputs
#2,782,132
of 25,371,288 outputs
Outputs from Human Resources for Health
#331
of 1,261 outputs
Outputs of similar age
#36,006
of 279,269 outputs
Outputs of similar age from Human Resources for Health
#9
of 28 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 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 gotten more attention than average, scoring higher than 73% 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 279,269 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 87% of its contemporaries.
We're also able to compare this research output to 28 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 67% of its contemporaries.