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Prescribing indicators at primary health care centers within the WHO African region: a systematic analysis (1995–2015)

Overview of attention for article published in BMC Public Health, August 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
6 news outlets
policy
1 policy source
twitter
8 tweeters

Citations

dimensions_citation
92 Dimensions

Readers on

mendeley
309 Mendeley
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Title
Prescribing indicators at primary health care centers within the WHO African region: a systematic analysis (1995–2015)
Published in
BMC Public Health, August 2016
DOI 10.1186/s12889-016-3428-8
Pubmed ID
Authors

Richard Ofori-Asenso, Petra Brhlikova, Allyson M. Pollock

Abstract

Rational medicine use is essential to optimize quality of healthcare delivery and resource utilization. We aim to conduct a systematic review of changes in prescribing patterns in the WHO African region and comparison with WHO indicators in two time periods 1995-2005 and 2006-2015. Systematic searches were conducted in PubMed, Scopus, Web of science, Africa-Wide Nipad, Africa Journals Online (AJOL), Google scholar and International Network for Rational Use of Drugs (INRUD) Bibliography databases to identify primary studies reporting prescribing indicators at primary healthcare centres (PHCs) in Africa. This was supplemented by a manual search of retrieved references. We assessed the quality of studies using a 14-point scoring system modified from the Downs and Black checklist with inclusions of recommendations in the WHO guidelines. Forty-three studies conducted in 11 African countries were included in the overall analysis. These studies presented prescribing indicators based on a total 141,323 patient encounters across 572 primary care facilities. The results of prescribing indicators were determined as follows; average number of medicines prescribed per patient encounter = 3.1 (IQR 2.3-4.8), percentage of medicines prescribed by generic name =68.0 % (IQR 55.4-80.3), Percentage of encounters with antibiotic prescribed =46.8 % (IQR 33.7-62.8), percentage of encounters with injection prescribed =25.0 % (IQR 18.7-39.5) and the percentage of medicines prescribed from essential medicines list =88.0 % (IQR 76.3-94.1). Prescribing indicators were generally worse in private compared with public facilities. Analysis of prescribing across two time points 1995-2005 and 2006-2015 showed no consistent trends. Prescribing indicators for the African region deviate significantly from the WHO reference targets. Increased collaborative efforts are urgently needed to improve medicine prescribing practices in Africa with the aim of enhancing the optimal utilization of scarce resources and averting negative health consequences.

Twitter Demographics

The data shown below were collected from the profiles of 8 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 309 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Nepal 1 <1%
Unknown 308 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 62 20%
Student > Bachelor 42 14%
Researcher 30 10%
Student > Postgraduate 26 8%
Other 19 6%
Other 63 20%
Unknown 67 22%
Readers by discipline Count As %
Medicine and Dentistry 73 24%
Pharmacology, Toxicology and Pharmaceutical Science 72 23%
Nursing and Health Professions 24 8%
Social Sciences 12 4%
Immunology and Microbiology 6 2%
Other 47 15%
Unknown 75 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 54. 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 01 March 2020.
All research outputs
#545,142
of 19,816,003 outputs
Outputs from BMC Public Health
#519
of 12,942 outputs
Outputs of similar age
#12,468
of 283,200 outputs
Outputs of similar age from BMC Public Health
#1
of 17 outputs
Altmetric has tracked 19,816,003 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,942 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has done particularly well, scoring higher than 95% 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 283,200 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 95% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.